\s*$/g;
-
-// Prefer a tbody over its parent table for containing new rows
-function manipulationTarget( elem, content ) {
- if ( nodeName( elem, "table" ) &&
- nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
-
- return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
- }
-
- return elem;
-}
-
-// Replace/restore the type attribute of script elements for safe DOM manipulation
-function disableScript( elem ) {
- elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
- return elem;
-}
-function restoreScript( elem ) {
- if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
- elem.type = elem.type.slice( 5 );
- } else {
- elem.removeAttribute( "type" );
- }
-
- return elem;
-}
-
-function cloneCopyEvent( src, dest ) {
- var i, l, type, pdataOld, udataOld, udataCur, events;
-
- if ( dest.nodeType !== 1 ) {
- return;
- }
-
- // 1. Copy private data: events, handlers, etc.
- if ( dataPriv.hasData( src ) ) {
- pdataOld = dataPriv.get( src );
- events = pdataOld.events;
-
- if ( events ) {
- dataPriv.remove( dest, "handle events" );
-
- for ( type in events ) {
- for ( i = 0, l = events[ type ].length; i < l; i++ ) {
- jQuery.event.add( dest, type, events[ type ][ i ] );
- }
- }
- }
- }
-
- // 2. Copy user data
- if ( dataUser.hasData( src ) ) {
- udataOld = dataUser.access( src );
- udataCur = jQuery.extend( {}, udataOld );
-
- dataUser.set( dest, udataCur );
- }
-}
-
-// Fix IE bugs, see support tests
-function fixInput( src, dest ) {
- var nodeName = dest.nodeName.toLowerCase();
-
- // Fails to persist the checked state of a cloned checkbox or radio button.
- if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
- dest.checked = src.checked;
-
- // Fails to return the selected option to the default selected state when cloning options
- } else if ( nodeName === "input" || nodeName === "textarea" ) {
- dest.defaultValue = src.defaultValue;
- }
-}
-
-function domManip( collection, args, callback, ignored ) {
-
- // Flatten any nested arrays
- args = flat( args );
-
- var fragment, first, scripts, hasScripts, node, doc,
- i = 0,
- l = collection.length,
- iNoClone = l - 1,
- value = args[ 0 ],
- valueIsFunction = isFunction( value );
-
- // We can't cloneNode fragments that contain checked, in WebKit
- if ( valueIsFunction ||
- ( l > 1 && typeof value === "string" &&
- !support.checkClone && rchecked.test( value ) ) ) {
- return collection.each( function( index ) {
- var self = collection.eq( index );
- if ( valueIsFunction ) {
- args[ 0 ] = value.call( this, index, self.html() );
- }
- domManip( self, args, callback, ignored );
- } );
- }
-
- if ( l ) {
- fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
- first = fragment.firstChild;
-
- if ( fragment.childNodes.length === 1 ) {
- fragment = first;
- }
-
- // Require either new content or an interest in ignored elements to invoke the callback
- if ( first || ignored ) {
- scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
- hasScripts = scripts.length;
-
- // Use the original fragment for the last item
- // instead of the first because it can end up
- // being emptied incorrectly in certain situations (#8070).
- for ( ; i < l; i++ ) {
- node = fragment;
-
- if ( i !== iNoClone ) {
- node = jQuery.clone( node, true, true );
-
- // Keep references to cloned scripts for later restoration
- if ( hasScripts ) {
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // push.apply(_, arraylike) throws on ancient WebKit
- jQuery.merge( scripts, getAll( node, "script" ) );
- }
- }
-
- callback.call( collection[ i ], node, i );
- }
-
- if ( hasScripts ) {
- doc = scripts[ scripts.length - 1 ].ownerDocument;
-
- // Reenable scripts
- jQuery.map( scripts, restoreScript );
-
- // Evaluate executable scripts on first document insertion
- for ( i = 0; i < hasScripts; i++ ) {
- node = scripts[ i ];
- if ( rscriptType.test( node.type || "" ) &&
- !dataPriv.access( node, "globalEval" ) &&
- jQuery.contains( doc, node ) ) {
-
- if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) {
-
- // Optional AJAX dependency, but won't run scripts if not present
- if ( jQuery._evalUrl && !node.noModule ) {
- jQuery._evalUrl( node.src, {
- nonce: node.nonce || node.getAttribute( "nonce" )
- }, doc );
- }
- } else {
- DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
- }
- }
- }
- }
- }
- }
-
- return collection;
-}
-
-function remove( elem, selector, keepData ) {
- var node,
- nodes = selector ? jQuery.filter( selector, elem ) : elem,
- i = 0;
-
- for ( ; ( node = nodes[ i ] ) != null; i++ ) {
- if ( !keepData && node.nodeType === 1 ) {
- jQuery.cleanData( getAll( node ) );
- }
-
- if ( node.parentNode ) {
- if ( keepData && isAttached( node ) ) {
- setGlobalEval( getAll( node, "script" ) );
- }
- node.parentNode.removeChild( node );
- }
- }
-
- return elem;
-}
-
-jQuery.extend( {
- htmlPrefilter: function( html ) {
- return html;
- },
-
- clone: function( elem, dataAndEvents, deepDataAndEvents ) {
- var i, l, srcElements, destElements,
- clone = elem.cloneNode( true ),
- inPage = isAttached( elem );
-
- // Fix IE cloning issues
- if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
- !jQuery.isXMLDoc( elem ) ) {
-
- // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
- destElements = getAll( clone );
- srcElements = getAll( elem );
-
- for ( i = 0, l = srcElements.length; i < l; i++ ) {
- fixInput( srcElements[ i ], destElements[ i ] );
- }
- }
-
- // Copy the events from the original to the clone
- if ( dataAndEvents ) {
- if ( deepDataAndEvents ) {
- srcElements = srcElements || getAll( elem );
- destElements = destElements || getAll( clone );
-
- for ( i = 0, l = srcElements.length; i < l; i++ ) {
- cloneCopyEvent( srcElements[ i ], destElements[ i ] );
- }
- } else {
- cloneCopyEvent( elem, clone );
- }
- }
-
- // Preserve script evaluation history
- destElements = getAll( clone, "script" );
- if ( destElements.length > 0 ) {
- setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
- }
-
- // Return the cloned set
- return clone;
- },
-
- cleanData: function( elems ) {
- var data, elem, type,
- special = jQuery.event.special,
- i = 0;
-
- for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
- if ( acceptData( elem ) ) {
- if ( ( data = elem[ dataPriv.expando ] ) ) {
- if ( data.events ) {
- for ( type in data.events ) {
- if ( special[ type ] ) {
- jQuery.event.remove( elem, type );
-
- // This is a shortcut to avoid jQuery.event.remove's overhead
- } else {
- jQuery.removeEvent( elem, type, data.handle );
- }
- }
- }
-
- // Support: Chrome <=35 - 45+
- // Assign undefined instead of using delete, see Data#remove
- elem[ dataPriv.expando ] = undefined;
- }
- if ( elem[ dataUser.expando ] ) {
-
- // Support: Chrome <=35 - 45+
- // Assign undefined instead of using delete, see Data#remove
- elem[ dataUser.expando ] = undefined;
- }
- }
- }
- }
-} );
-
-jQuery.fn.extend( {
- detach: function( selector ) {
- return remove( this, selector, true );
- },
-
- remove: function( selector ) {
- return remove( this, selector );
- },
-
- text: function( value ) {
- return access( this, function( value ) {
- return value === undefined ?
- jQuery.text( this ) :
- this.empty().each( function() {
- if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
- this.textContent = value;
- }
- } );
- }, null, value, arguments.length );
- },
-
- append: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
- var target = manipulationTarget( this, elem );
- target.appendChild( elem );
- }
- } );
- },
-
- prepend: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
- var target = manipulationTarget( this, elem );
- target.insertBefore( elem, target.firstChild );
- }
- } );
- },
-
- before: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.parentNode ) {
- this.parentNode.insertBefore( elem, this );
- }
- } );
- },
-
- after: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.parentNode ) {
- this.parentNode.insertBefore( elem, this.nextSibling );
- }
- } );
- },
-
- empty: function() {
- var elem,
- i = 0;
-
- for ( ; ( elem = this[ i ] ) != null; i++ ) {
- if ( elem.nodeType === 1 ) {
-
- // Prevent memory leaks
- jQuery.cleanData( getAll( elem, false ) );
-
- // Remove any remaining nodes
- elem.textContent = "";
- }
- }
-
- return this;
- },
-
- clone: function( dataAndEvents, deepDataAndEvents ) {
- dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
- deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
-
- return this.map( function() {
- return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
- } );
- },
-
- html: function( value ) {
- return access( this, function( value ) {
- var elem = this[ 0 ] || {},
- i = 0,
- l = this.length;
-
- if ( value === undefined && elem.nodeType === 1 ) {
- return elem.innerHTML;
- }
-
- // See if we can take a shortcut and just use innerHTML
- if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
- !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
-
- value = jQuery.htmlPrefilter( value );
-
- try {
- for ( ; i < l; i++ ) {
- elem = this[ i ] || {};
-
- // Remove element nodes and prevent memory leaks
- if ( elem.nodeType === 1 ) {
- jQuery.cleanData( getAll( elem, false ) );
- elem.innerHTML = value;
- }
- }
-
- elem = 0;
-
- // If using innerHTML throws an exception, use the fallback method
- } catch ( e ) {}
- }
-
- if ( elem ) {
- this.empty().append( value );
- }
- }, null, value, arguments.length );
- },
-
- replaceWith: function() {
- var ignored = [];
-
- // Make the changes, replacing each non-ignored context element with the new content
- return domManip( this, arguments, function( elem ) {
- var parent = this.parentNode;
-
- if ( jQuery.inArray( this, ignored ) < 0 ) {
- jQuery.cleanData( getAll( this ) );
- if ( parent ) {
- parent.replaceChild( elem, this );
- }
- }
-
- // Force callback invocation
- }, ignored );
- }
-} );
-
-jQuery.each( {
- appendTo: "append",
- prependTo: "prepend",
- insertBefore: "before",
- insertAfter: "after",
- replaceAll: "replaceWith"
-}, function( name, original ) {
- jQuery.fn[ name ] = function( selector ) {
- var elems,
- ret = [],
- insert = jQuery( selector ),
- last = insert.length - 1,
- i = 0;
-
- for ( ; i <= last; i++ ) {
- elems = i === last ? this : this.clone( true );
- jQuery( insert[ i ] )[ original ]( elems );
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // .get() because push.apply(_, arraylike) throws on ancient WebKit
- push.apply( ret, elems.get() );
- }
-
- return this.pushStack( ret );
- };
-} );
-var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
-
-var getStyles = function( elem ) {
-
- // Support: IE <=11 only, Firefox <=30 (#15098, #14150)
- // IE throws on elements created in popups
- // FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
- var view = elem.ownerDocument.defaultView;
-
- if ( !view || !view.opener ) {
- view = window;
- }
-
- return view.getComputedStyle( elem );
- };
-
-var swap = function( elem, options, callback ) {
- var ret, name,
- old = {};
-
- // Remember the old values, and insert the new ones
- for ( name in options ) {
- old[ name ] = elem.style[ name ];
- elem.style[ name ] = options[ name ];
- }
-
- ret = callback.call( elem );
-
- // Revert the old values
- for ( name in options ) {
- elem.style[ name ] = old[ name ];
- }
-
- return ret;
-};
-
-
-var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
-
-
-
-( function() {
-
- // Executing both pixelPosition & boxSizingReliable tests require only one layout
- // so they're executed at the same time to save the second computation.
- function computeStyleTests() {
-
- // This is a singleton, we need to execute it only once
- if ( !div ) {
- return;
- }
-
- container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
- "margin-top:1px;padding:0;border:0";
- div.style.cssText =
- "position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
- "margin:auto;border:1px;padding:1px;" +
- "width:60%;top:1%";
- documentElement.appendChild( container ).appendChild( div );
-
- var divStyle = window.getComputedStyle( div );
- pixelPositionVal = divStyle.top !== "1%";
-
- // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
- reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
-
- // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
- // Some styles come back with percentage values, even though they shouldn't
- div.style.right = "60%";
- pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
-
- // Support: IE 9 - 11 only
- // Detect misreporting of content dimensions for box-sizing:border-box elements
- boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
-
- // Support: IE 9 only
- // Detect overflow:scroll screwiness (gh-3699)
- // Support: Chrome <=64
- // Don't get tricked when zoom affects offsetWidth (gh-4029)
- div.style.position = "absolute";
- scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
-
- documentElement.removeChild( container );
-
- // Nullify the div so it wouldn't be stored in the memory and
- // it will also be a sign that checks already performed
- div = null;
- }
-
- function roundPixelMeasures( measure ) {
- return Math.round( parseFloat( measure ) );
- }
-
- var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
- reliableTrDimensionsVal, reliableMarginLeftVal,
- container = document.createElement( "div" ),
- div = document.createElement( "div" );
-
- // Finish early in limited (non-browser) environments
- if ( !div.style ) {
- return;
- }
-
- // Support: IE <=9 - 11 only
- // Style of cloned element affects source element cloned (#8908)
- div.style.backgroundClip = "content-box";
- div.cloneNode( true ).style.backgroundClip = "";
- support.clearCloneStyle = div.style.backgroundClip === "content-box";
-
- jQuery.extend( support, {
- boxSizingReliable: function() {
- computeStyleTests();
- return boxSizingReliableVal;
- },
- pixelBoxStyles: function() {
- computeStyleTests();
- return pixelBoxStylesVal;
- },
- pixelPosition: function() {
- computeStyleTests();
- return pixelPositionVal;
- },
- reliableMarginLeft: function() {
- computeStyleTests();
- return reliableMarginLeftVal;
- },
- scrollboxSize: function() {
- computeStyleTests();
- return scrollboxSizeVal;
- },
-
- // Support: IE 9 - 11+, Edge 15 - 18+
- // IE/Edge misreport `getComputedStyle` of table rows with width/height
- // set in CSS while `offset*` properties report correct values.
- // Behavior in IE 9 is more subtle than in newer versions & it passes
- // some versions of this test; make sure not to make it pass there!
- //
- // Support: Firefox 70+
- // Only Firefox includes border widths
- // in computed dimensions. (gh-4529)
- reliableTrDimensions: function() {
- var table, tr, trChild, trStyle;
- if ( reliableTrDimensionsVal == null ) {
- table = document.createElement( "table" );
- tr = document.createElement( "tr" );
- trChild = document.createElement( "div" );
-
- table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
- tr.style.cssText = "border:1px solid";
-
- // Support: Chrome 86+
- // Height set through cssText does not get applied.
- // Computed height then comes back as 0.
- tr.style.height = "1px";
- trChild.style.height = "9px";
-
- // Support: Android 8 Chrome 86+
- // In our bodyBackground.html iframe,
- // display for all div elements is set to "inline",
- // which causes a problem only in Android 8 Chrome 86.
- // Ensuring the div is display: block
- // gets around this issue.
- trChild.style.display = "block";
-
- documentElement
- .appendChild( table )
- .appendChild( tr )
- .appendChild( trChild );
-
- trStyle = window.getComputedStyle( tr );
- reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
- parseInt( trStyle.borderTopWidth, 10 ) +
- parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
-
- documentElement.removeChild( table );
- }
- return reliableTrDimensionsVal;
- }
- } );
-} )();
-
-
-function curCSS( elem, name, computed ) {
- var width, minWidth, maxWidth, ret,
-
- // Support: Firefox 51+
- // Retrieving style before computed somehow
- // fixes an issue with getting wrong values
- // on detached elements
- style = elem.style;
-
- computed = computed || getStyles( elem );
-
- // getPropertyValue is needed for:
- // .css('filter') (IE 9 only, #12537)
- // .css('--customProperty) (#3144)
- if ( computed ) {
- ret = computed.getPropertyValue( name ) || computed[ name ];
-
- if ( ret === "" && !isAttached( elem ) ) {
- ret = jQuery.style( elem, name );
- }
-
- // A tribute to the "awesome hack by Dean Edwards"
- // Android Browser returns percentage for some values,
- // but width seems to be reliably pixels.
- // This is against the CSSOM draft spec:
- // https://drafts.csswg.org/cssom/#resolved-values
- if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
-
- // Remember the original values
- width = style.width;
- minWidth = style.minWidth;
- maxWidth = style.maxWidth;
-
- // Put in the new values to get a computed value out
- style.minWidth = style.maxWidth = style.width = ret;
- ret = computed.width;
-
- // Revert the changed values
- style.width = width;
- style.minWidth = minWidth;
- style.maxWidth = maxWidth;
- }
- }
-
- return ret !== undefined ?
-
- // Support: IE <=9 - 11 only
- // IE returns zIndex value as an integer.
- ret + "" :
- ret;
-}
-
-
-function addGetHookIf( conditionFn, hookFn ) {
-
- // Define the hook, we'll check on the first run if it's really needed.
- return {
- get: function() {
- if ( conditionFn() ) {
-
- // Hook not needed (or it's not possible to use it due
- // to missing dependency), remove it.
- delete this.get;
- return;
- }
-
- // Hook needed; redefine it so that the support test is not executed again.
- return ( this.get = hookFn ).apply( this, arguments );
- }
- };
-}
-
-
-var cssPrefixes = [ "Webkit", "Moz", "ms" ],
- emptyStyle = document.createElement( "div" ).style,
- vendorProps = {};
-
-// Return a vendor-prefixed property or undefined
-function vendorPropName( name ) {
-
- // Check for vendor prefixed names
- var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
- i = cssPrefixes.length;
-
- while ( i-- ) {
- name = cssPrefixes[ i ] + capName;
- if ( name in emptyStyle ) {
- return name;
- }
- }
-}
-
-// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
-function finalPropName( name ) {
- var final = jQuery.cssProps[ name ] || vendorProps[ name ];
-
- if ( final ) {
- return final;
- }
- if ( name in emptyStyle ) {
- return name;
- }
- return vendorProps[ name ] = vendorPropName( name ) || name;
-}
-
-
-var
-
- // Swappable if display is none or starts with table
- // except "table", "table-cell", or "table-caption"
- // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
- rdisplayswap = /^(none|table(?!-c[ea]).+)/,
- rcustomProp = /^--/,
- cssShow = { position: "absolute", visibility: "hidden", display: "block" },
- cssNormalTransform = {
- letterSpacing: "0",
- fontWeight: "400"
- };
-
-function setPositiveNumber( _elem, value, subtract ) {
-
- // Any relative (+/-) values have already been
- // normalized at this point
- var matches = rcssNum.exec( value );
- return matches ?
-
- // Guard against undefined "subtract", e.g., when used as in cssHooks
- Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
- value;
-}
-
-function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
- var i = dimension === "width" ? 1 : 0,
- extra = 0,
- delta = 0;
-
- // Adjustment may not be necessary
- if ( box === ( isBorderBox ? "border" : "content" ) ) {
- return 0;
- }
-
- for ( ; i < 4; i += 2 ) {
-
- // Both box models exclude margin
- if ( box === "margin" ) {
- delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
- }
-
- // If we get here with a content-box, we're seeking "padding" or "border" or "margin"
- if ( !isBorderBox ) {
-
- // Add padding
- delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
-
- // For "border" or "margin", add border
- if ( box !== "padding" ) {
- delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-
- // But still keep track of it otherwise
- } else {
- extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
- }
-
- // If we get here with a border-box (content + padding + border), we're seeking "content" or
- // "padding" or "margin"
- } else {
-
- // For "content", subtract padding
- if ( box === "content" ) {
- delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
- }
-
- // For "content" or "padding", subtract border
- if ( box !== "margin" ) {
- delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
- }
- }
- }
-
- // Account for positive content-box scroll gutter when requested by providing computedVal
- if ( !isBorderBox && computedVal >= 0 ) {
-
- // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
- // Assuming integer scroll gutter, subtract the rest and round down
- delta += Math.max( 0, Math.ceil(
- elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
- computedVal -
- delta -
- extra -
- 0.5
-
- // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
- // Use an explicit zero to avoid NaN (gh-3964)
- ) ) || 0;
- }
-
- return delta;
-}
-
-function getWidthOrHeight( elem, dimension, extra ) {
-
- // Start with computed style
- var styles = getStyles( elem ),
-
- // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
- // Fake content-box until we know it's needed to know the true value.
- boxSizingNeeded = !support.boxSizingReliable() || extra,
- isBorderBox = boxSizingNeeded &&
- jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
- valueIsBorderBox = isBorderBox,
-
- val = curCSS( elem, dimension, styles ),
- offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
-
- // Support: Firefox <=54
- // Return a confounding non-pixel value or feign ignorance, as appropriate.
- if ( rnumnonpx.test( val ) ) {
- if ( !extra ) {
- return val;
- }
- val = "auto";
- }
-
-
- // Support: IE 9 - 11 only
- // Use offsetWidth/offsetHeight for when box sizing is unreliable.
- // In those cases, the computed value can be trusted to be border-box.
- if ( ( !support.boxSizingReliable() && isBorderBox ||
-
- // Support: IE 10 - 11+, Edge 15 - 18+
- // IE/Edge misreport `getComputedStyle` of table rows with width/height
- // set in CSS while `offset*` properties report correct values.
- // Interestingly, in some cases IE 9 doesn't suffer from this issue.
- !support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
-
- // Fall back to offsetWidth/offsetHeight when value is "auto"
- // This happens for inline elements with no explicit setting (gh-3571)
- val === "auto" ||
-
- // Support: Android <=4.1 - 4.3 only
- // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
- !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
-
- // Make sure the element is visible & connected
- elem.getClientRects().length ) {
-
- isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
-
- // Where available, offsetWidth/offsetHeight approximate border box dimensions.
- // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
- // retrieved value as a content box dimension.
- valueIsBorderBox = offsetProp in elem;
- if ( valueIsBorderBox ) {
- val = elem[ offsetProp ];
- }
- }
-
- // Normalize "" and auto
- val = parseFloat( val ) || 0;
-
- // Adjust for the element's box model
- return ( val +
- boxModelAdjustment(
- elem,
- dimension,
- extra || ( isBorderBox ? "border" : "content" ),
- valueIsBorderBox,
- styles,
-
- // Provide the current computed size to request scroll gutter calculation (gh-3589)
- val
- )
- ) + "px";
-}
-
-jQuery.extend( {
-
- // Add in style property hooks for overriding the default
- // behavior of getting and setting a style property
- cssHooks: {
- opacity: {
- get: function( elem, computed ) {
- if ( computed ) {
-
- // We should always get a number back from opacity
- var ret = curCSS( elem, "opacity" );
- return ret === "" ? "1" : ret;
- }
- }
- }
- },
-
- // Don't automatically add "px" to these possibly-unitless properties
- cssNumber: {
- "animationIterationCount": true,
- "columnCount": true,
- "fillOpacity": true,
- "flexGrow": true,
- "flexShrink": true,
- "fontWeight": true,
- "gridArea": true,
- "gridColumn": true,
- "gridColumnEnd": true,
- "gridColumnStart": true,
- "gridRow": true,
- "gridRowEnd": true,
- "gridRowStart": true,
- "lineHeight": true,
- "opacity": true,
- "order": true,
- "orphans": true,
- "widows": true,
- "zIndex": true,
- "zoom": true
- },
-
- // Add in properties whose names you wish to fix before
- // setting or getting the value
- cssProps: {},
-
- // Get and set the style property on a DOM Node
- style: function( elem, name, value, extra ) {
-
- // Don't set styles on text and comment nodes
- if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
- return;
- }
-
- // Make sure that we're working with the right name
- var ret, type, hooks,
- origName = camelCase( name ),
- isCustomProp = rcustomProp.test( name ),
- style = elem.style;
-
- // Make sure that we're working with the right name. We don't
- // want to query the value if it is a CSS custom property
- // since they are user-defined.
- if ( !isCustomProp ) {
- name = finalPropName( origName );
- }
-
- // Gets hook for the prefixed version, then unprefixed version
- hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
- // Check if we're setting a value
- if ( value !== undefined ) {
- type = typeof value;
-
- // Convert "+=" or "-=" to relative numbers (#7345)
- if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
- value = adjustCSS( elem, name, ret );
-
- // Fixes bug #9237
- type = "number";
- }
-
- // Make sure that null and NaN values aren't set (#7116)
- if ( value == null || value !== value ) {
- return;
- }
-
- // If a number was passed in, add the unit (except for certain CSS properties)
- // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
- // "px" to a few hardcoded values.
- if ( type === "number" && !isCustomProp ) {
- value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
- }
-
- // background-* props affect original clone's values
- if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
- style[ name ] = "inherit";
- }
-
- // If a hook was provided, use that value, otherwise just set the specified value
- if ( !hooks || !( "set" in hooks ) ||
- ( value = hooks.set( elem, value, extra ) ) !== undefined ) {
-
- if ( isCustomProp ) {
- style.setProperty( name, value );
- } else {
- style[ name ] = value;
- }
- }
-
- } else {
-
- // If a hook was provided get the non-computed value from there
- if ( hooks && "get" in hooks &&
- ( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
-
- return ret;
- }
-
- // Otherwise just get the value from the style object
- return style[ name ];
- }
- },
-
- css: function( elem, name, extra, styles ) {
- var val, num, hooks,
- origName = camelCase( name ),
- isCustomProp = rcustomProp.test( name );
-
- // Make sure that we're working with the right name. We don't
- // want to modify the value if it is a CSS custom property
- // since they are user-defined.
- if ( !isCustomProp ) {
- name = finalPropName( origName );
- }
-
- // Try prefixed name followed by the unprefixed name
- hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
- // If a hook was provided get the computed value from there
- if ( hooks && "get" in hooks ) {
- val = hooks.get( elem, true, extra );
- }
-
- // Otherwise, if a way to get the computed value exists, use that
- if ( val === undefined ) {
- val = curCSS( elem, name, styles );
- }
-
- // Convert "normal" to computed value
- if ( val === "normal" && name in cssNormalTransform ) {
- val = cssNormalTransform[ name ];
- }
-
- // Make numeric if forced or a qualifier was provided and val looks numeric
- if ( extra === "" || extra ) {
- num = parseFloat( val );
- return extra === true || isFinite( num ) ? num || 0 : val;
- }
-
- return val;
- }
-} );
-
-jQuery.each( [ "height", "width" ], function( _i, dimension ) {
- jQuery.cssHooks[ dimension ] = {
- get: function( elem, computed, extra ) {
- if ( computed ) {
-
- // Certain elements can have dimension info if we invisibly show them
- // but it must have a current display style that would benefit
- return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
-
- // Support: Safari 8+
- // Table columns in Safari have non-zero offsetWidth & zero
- // getBoundingClientRect().width unless display is changed.
- // Support: IE <=11 only
- // Running getBoundingClientRect on a disconnected node
- // in IE throws an error.
- ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
- swap( elem, cssShow, function() {
- return getWidthOrHeight( elem, dimension, extra );
- } ) :
- getWidthOrHeight( elem, dimension, extra );
- }
- },
-
- set: function( elem, value, extra ) {
- var matches,
- styles = getStyles( elem ),
-
- // Only read styles.position if the test has a chance to fail
- // to avoid forcing a reflow.
- scrollboxSizeBuggy = !support.scrollboxSize() &&
- styles.position === "absolute",
-
- // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
- boxSizingNeeded = scrollboxSizeBuggy || extra,
- isBorderBox = boxSizingNeeded &&
- jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
- subtract = extra ?
- boxModelAdjustment(
- elem,
- dimension,
- extra,
- isBorderBox,
- styles
- ) :
- 0;
-
- // Account for unreliable border-box dimensions by comparing offset* to computed and
- // faking a content-box to get border and padding (gh-3699)
- if ( isBorderBox && scrollboxSizeBuggy ) {
- subtract -= Math.ceil(
- elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
- parseFloat( styles[ dimension ] ) -
- boxModelAdjustment( elem, dimension, "border", false, styles ) -
- 0.5
- );
- }
-
- // Convert to pixels if value adjustment is needed
- if ( subtract && ( matches = rcssNum.exec( value ) ) &&
- ( matches[ 3 ] || "px" ) !== "px" ) {
-
- elem.style[ dimension ] = value;
- value = jQuery.css( elem, dimension );
- }
-
- return setPositiveNumber( elem, value, subtract );
- }
- };
-} );
-
-jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
- function( elem, computed ) {
- if ( computed ) {
- return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
- elem.getBoundingClientRect().left -
- swap( elem, { marginLeft: 0 }, function() {
- return elem.getBoundingClientRect().left;
- } )
- ) + "px";
- }
- }
-);
-
-// These hooks are used by animate to expand properties
-jQuery.each( {
- margin: "",
- padding: "",
- border: "Width"
-}, function( prefix, suffix ) {
- jQuery.cssHooks[ prefix + suffix ] = {
- expand: function( value ) {
- var i = 0,
- expanded = {},
-
- // Assumes a single number if not a string
- parts = typeof value === "string" ? value.split( " " ) : [ value ];
-
- for ( ; i < 4; i++ ) {
- expanded[ prefix + cssExpand[ i ] + suffix ] =
- parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
- }
-
- return expanded;
- }
- };
-
- if ( prefix !== "margin" ) {
- jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
- }
-} );
-
-jQuery.fn.extend( {
- css: function( name, value ) {
- return access( this, function( elem, name, value ) {
- var styles, len,
- map = {},
- i = 0;
-
- if ( Array.isArray( name ) ) {
- styles = getStyles( elem );
- len = name.length;
-
- for ( ; i < len; i++ ) {
- map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
- }
-
- return map;
- }
-
- return value !== undefined ?
- jQuery.style( elem, name, value ) :
- jQuery.css( elem, name );
- }, name, value, arguments.length > 1 );
- }
-} );
-
-
-function Tween( elem, options, prop, end, easing ) {
- return new Tween.prototype.init( elem, options, prop, end, easing );
-}
-jQuery.Tween = Tween;
-
-Tween.prototype = {
- constructor: Tween,
- init: function( elem, options, prop, end, easing, unit ) {
- this.elem = elem;
- this.prop = prop;
- this.easing = easing || jQuery.easing._default;
- this.options = options;
- this.start = this.now = this.cur();
- this.end = end;
- this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
- },
- cur: function() {
- var hooks = Tween.propHooks[ this.prop ];
-
- return hooks && hooks.get ?
- hooks.get( this ) :
- Tween.propHooks._default.get( this );
- },
- run: function( percent ) {
- var eased,
- hooks = Tween.propHooks[ this.prop ];
-
- if ( this.options.duration ) {
- this.pos = eased = jQuery.easing[ this.easing ](
- percent, this.options.duration * percent, 0, 1, this.options.duration
- );
- } else {
- this.pos = eased = percent;
- }
- this.now = ( this.end - this.start ) * eased + this.start;
-
- if ( this.options.step ) {
- this.options.step.call( this.elem, this.now, this );
- }
-
- if ( hooks && hooks.set ) {
- hooks.set( this );
- } else {
- Tween.propHooks._default.set( this );
- }
- return this;
- }
-};
-
-Tween.prototype.init.prototype = Tween.prototype;
-
-Tween.propHooks = {
- _default: {
- get: function( tween ) {
- var result;
-
- // Use a property on the element directly when it is not a DOM element,
- // or when there is no matching style property that exists.
- if ( tween.elem.nodeType !== 1 ||
- tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
- return tween.elem[ tween.prop ];
- }
-
- // Passing an empty string as a 3rd parameter to .css will automatically
- // attempt a parseFloat and fallback to a string if the parse fails.
- // Simple values such as "10px" are parsed to Float;
- // complex values such as "rotate(1rad)" are returned as-is.
- result = jQuery.css( tween.elem, tween.prop, "" );
-
- // Empty strings, null, undefined and "auto" are converted to 0.
- return !result || result === "auto" ? 0 : result;
- },
- set: function( tween ) {
-
- // Use step hook for back compat.
- // Use cssHook if its there.
- // Use .style if available and use plain properties where available.
- if ( jQuery.fx.step[ tween.prop ] ) {
- jQuery.fx.step[ tween.prop ]( tween );
- } else if ( tween.elem.nodeType === 1 && (
- jQuery.cssHooks[ tween.prop ] ||
- tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
- jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
- } else {
- tween.elem[ tween.prop ] = tween.now;
- }
- }
- }
-};
-
-// Support: IE <=9 only
-// Panic based approach to setting things on disconnected nodes
-Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
- set: function( tween ) {
- if ( tween.elem.nodeType && tween.elem.parentNode ) {
- tween.elem[ tween.prop ] = tween.now;
- }
- }
-};
-
-jQuery.easing = {
- linear: function( p ) {
- return p;
- },
- swing: function( p ) {
- return 0.5 - Math.cos( p * Math.PI ) / 2;
- },
- _default: "swing"
-};
-
-jQuery.fx = Tween.prototype.init;
-
-// Back compat <1.8 extension point
-jQuery.fx.step = {};
-
-
-
-
-var
- fxNow, inProgress,
- rfxtypes = /^(?:toggle|show|hide)$/,
- rrun = /queueHooks$/;
-
-function schedule() {
- if ( inProgress ) {
- if ( document.hidden === false && window.requestAnimationFrame ) {
- window.requestAnimationFrame( schedule );
- } else {
- window.setTimeout( schedule, jQuery.fx.interval );
- }
-
- jQuery.fx.tick();
- }
-}
-
-// Animations created synchronously will run synchronously
-function createFxNow() {
- window.setTimeout( function() {
- fxNow = undefined;
- } );
- return ( fxNow = Date.now() );
-}
-
-// Generate parameters to create a standard animation
-function genFx( type, includeWidth ) {
- var which,
- i = 0,
- attrs = { height: type };
-
- // If we include width, step value is 1 to do all cssExpand values,
- // otherwise step value is 2 to skip over Left and Right
- includeWidth = includeWidth ? 1 : 0;
- for ( ; i < 4; i += 2 - includeWidth ) {
- which = cssExpand[ i ];
- attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
- }
-
- if ( includeWidth ) {
- attrs.opacity = attrs.width = type;
- }
-
- return attrs;
-}
-
-function createTween( value, prop, animation ) {
- var tween,
- collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
- index = 0,
- length = collection.length;
- for ( ; index < length; index++ ) {
- if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
-
- // We're done with this property
- return tween;
- }
- }
-}
-
-function defaultPrefilter( elem, props, opts ) {
- var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
- isBox = "width" in props || "height" in props,
- anim = this,
- orig = {},
- style = elem.style,
- hidden = elem.nodeType && isHiddenWithinTree( elem ),
- dataShow = dataPriv.get( elem, "fxshow" );
-
- // Queue-skipping animations hijack the fx hooks
- if ( !opts.queue ) {
- hooks = jQuery._queueHooks( elem, "fx" );
- if ( hooks.unqueued == null ) {
- hooks.unqueued = 0;
- oldfire = hooks.empty.fire;
- hooks.empty.fire = function() {
- if ( !hooks.unqueued ) {
- oldfire();
- }
- };
- }
- hooks.unqueued++;
-
- anim.always( function() {
-
- // Ensure the complete handler is called before this completes
- anim.always( function() {
- hooks.unqueued--;
- if ( !jQuery.queue( elem, "fx" ).length ) {
- hooks.empty.fire();
- }
- } );
- } );
- }
-
- // Detect show/hide animations
- for ( prop in props ) {
- value = props[ prop ];
- if ( rfxtypes.test( value ) ) {
- delete props[ prop ];
- toggle = toggle || value === "toggle";
- if ( value === ( hidden ? "hide" : "show" ) ) {
-
- // Pretend to be hidden if this is a "show" and
- // there is still data from a stopped show/hide
- if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
- hidden = true;
-
- // Ignore all other no-op show/hide data
- } else {
- continue;
- }
- }
- orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
- }
- }
-
- // Bail out if this is a no-op like .hide().hide()
- propTween = !jQuery.isEmptyObject( props );
- if ( !propTween && jQuery.isEmptyObject( orig ) ) {
- return;
- }
-
- // Restrict "overflow" and "display" styles during box animations
- if ( isBox && elem.nodeType === 1 ) {
-
- // Support: IE <=9 - 11, Edge 12 - 15
- // Record all 3 overflow attributes because IE does not infer the shorthand
- // from identically-valued overflowX and overflowY and Edge just mirrors
- // the overflowX value there.
- opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
-
- // Identify a display type, preferring old show/hide data over the CSS cascade
- restoreDisplay = dataShow && dataShow.display;
- if ( restoreDisplay == null ) {
- restoreDisplay = dataPriv.get( elem, "display" );
- }
- display = jQuery.css( elem, "display" );
- if ( display === "none" ) {
- if ( restoreDisplay ) {
- display = restoreDisplay;
- } else {
-
- // Get nonempty value(s) by temporarily forcing visibility
- showHide( [ elem ], true );
- restoreDisplay = elem.style.display || restoreDisplay;
- display = jQuery.css( elem, "display" );
- showHide( [ elem ] );
- }
- }
-
- // Animate inline elements as inline-block
- if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
- if ( jQuery.css( elem, "float" ) === "none" ) {
-
- // Restore the original display value at the end of pure show/hide animations
- if ( !propTween ) {
- anim.done( function() {
- style.display = restoreDisplay;
- } );
- if ( restoreDisplay == null ) {
- display = style.display;
- restoreDisplay = display === "none" ? "" : display;
- }
- }
- style.display = "inline-block";
- }
- }
- }
-
- if ( opts.overflow ) {
- style.overflow = "hidden";
- anim.always( function() {
- style.overflow = opts.overflow[ 0 ];
- style.overflowX = opts.overflow[ 1 ];
- style.overflowY = opts.overflow[ 2 ];
- } );
- }
-
- // Implement show/hide animations
- propTween = false;
- for ( prop in orig ) {
-
- // General show/hide setup for this element animation
- if ( !propTween ) {
- if ( dataShow ) {
- if ( "hidden" in dataShow ) {
- hidden = dataShow.hidden;
- }
- } else {
- dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
- }
-
- // Store hidden/visible for toggle so `.stop().toggle()` "reverses"
- if ( toggle ) {
- dataShow.hidden = !hidden;
- }
-
- // Show elements before animating them
- if ( hidden ) {
- showHide( [ elem ], true );
- }
-
- /* eslint-disable no-loop-func */
-
- anim.done( function() {
-
- /* eslint-enable no-loop-func */
-
- // The final step of a "hide" animation is actually hiding the element
- if ( !hidden ) {
- showHide( [ elem ] );
- }
- dataPriv.remove( elem, "fxshow" );
- for ( prop in orig ) {
- jQuery.style( elem, prop, orig[ prop ] );
- }
- } );
- }
-
- // Per-property setup
- propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
- if ( !( prop in dataShow ) ) {
- dataShow[ prop ] = propTween.start;
- if ( hidden ) {
- propTween.end = propTween.start;
- propTween.start = 0;
- }
- }
- }
-}
-
-function propFilter( props, specialEasing ) {
- var index, name, easing, value, hooks;
-
- // camelCase, specialEasing and expand cssHook pass
- for ( index in props ) {
- name = camelCase( index );
- easing = specialEasing[ name ];
- value = props[ index ];
- if ( Array.isArray( value ) ) {
- easing = value[ 1 ];
- value = props[ index ] = value[ 0 ];
- }
-
- if ( index !== name ) {
- props[ name ] = value;
- delete props[ index ];
- }
-
- hooks = jQuery.cssHooks[ name ];
- if ( hooks && "expand" in hooks ) {
- value = hooks.expand( value );
- delete props[ name ];
-
- // Not quite $.extend, this won't overwrite existing keys.
- // Reusing 'index' because we have the correct "name"
- for ( index in value ) {
- if ( !( index in props ) ) {
- props[ index ] = value[ index ];
- specialEasing[ index ] = easing;
- }
- }
- } else {
- specialEasing[ name ] = easing;
- }
- }
-}
-
-function Animation( elem, properties, options ) {
- var result,
- stopped,
- index = 0,
- length = Animation.prefilters.length,
- deferred = jQuery.Deferred().always( function() {
-
- // Don't match elem in the :animated selector
- delete tick.elem;
- } ),
- tick = function() {
- if ( stopped ) {
- return false;
- }
- var currentTime = fxNow || createFxNow(),
- remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
-
- // Support: Android 2.3 only
- // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
- temp = remaining / animation.duration || 0,
- percent = 1 - temp,
- index = 0,
- length = animation.tweens.length;
-
- for ( ; index < length; index++ ) {
- animation.tweens[ index ].run( percent );
- }
-
- deferred.notifyWith( elem, [ animation, percent, remaining ] );
-
- // If there's more to do, yield
- if ( percent < 1 && length ) {
- return remaining;
- }
-
- // If this was an empty animation, synthesize a final progress notification
- if ( !length ) {
- deferred.notifyWith( elem, [ animation, 1, 0 ] );
- }
-
- // Resolve the animation and report its conclusion
- deferred.resolveWith( elem, [ animation ] );
- return false;
- },
- animation = deferred.promise( {
- elem: elem,
- props: jQuery.extend( {}, properties ),
- opts: jQuery.extend( true, {
- specialEasing: {},
- easing: jQuery.easing._default
- }, options ),
- originalProperties: properties,
- originalOptions: options,
- startTime: fxNow || createFxNow(),
- duration: options.duration,
- tweens: [],
- createTween: function( prop, end ) {
- var tween = jQuery.Tween( elem, animation.opts, prop, end,
- animation.opts.specialEasing[ prop ] || animation.opts.easing );
- animation.tweens.push( tween );
- return tween;
- },
- stop: function( gotoEnd ) {
- var index = 0,
-
- // If we are going to the end, we want to run all the tweens
- // otherwise we skip this part
- length = gotoEnd ? animation.tweens.length : 0;
- if ( stopped ) {
- return this;
- }
- stopped = true;
- for ( ; index < length; index++ ) {
- animation.tweens[ index ].run( 1 );
- }
-
- // Resolve when we played the last frame; otherwise, reject
- if ( gotoEnd ) {
- deferred.notifyWith( elem, [ animation, 1, 0 ] );
- deferred.resolveWith( elem, [ animation, gotoEnd ] );
- } else {
- deferred.rejectWith( elem, [ animation, gotoEnd ] );
- }
- return this;
- }
- } ),
- props = animation.props;
-
- propFilter( props, animation.opts.specialEasing );
-
- for ( ; index < length; index++ ) {
- result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
- if ( result ) {
- if ( isFunction( result.stop ) ) {
- jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
- result.stop.bind( result );
- }
- return result;
- }
- }
-
- jQuery.map( props, createTween, animation );
-
- if ( isFunction( animation.opts.start ) ) {
- animation.opts.start.call( elem, animation );
- }
-
- // Attach callbacks from options
- animation
- .progress( animation.opts.progress )
- .done( animation.opts.done, animation.opts.complete )
- .fail( animation.opts.fail )
- .always( animation.opts.always );
-
- jQuery.fx.timer(
- jQuery.extend( tick, {
- elem: elem,
- anim: animation,
- queue: animation.opts.queue
- } )
- );
-
- return animation;
-}
-
-jQuery.Animation = jQuery.extend( Animation, {
-
- tweeners: {
- "*": [ function( prop, value ) {
- var tween = this.createTween( prop, value );
- adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
- return tween;
- } ]
- },
-
- tweener: function( props, callback ) {
- if ( isFunction( props ) ) {
- callback = props;
- props = [ "*" ];
- } else {
- props = props.match( rnothtmlwhite );
- }
-
- var prop,
- index = 0,
- length = props.length;
-
- for ( ; index < length; index++ ) {
- prop = props[ index ];
- Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
- Animation.tweeners[ prop ].unshift( callback );
- }
- },
-
- prefilters: [ defaultPrefilter ],
-
- prefilter: function( callback, prepend ) {
- if ( prepend ) {
- Animation.prefilters.unshift( callback );
- } else {
- Animation.prefilters.push( callback );
- }
- }
-} );
-
-jQuery.speed = function( speed, easing, fn ) {
- var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
- complete: fn || !fn && easing ||
- isFunction( speed ) && speed,
- duration: speed,
- easing: fn && easing || easing && !isFunction( easing ) && easing
- };
-
- // Go to the end state if fx are off
- if ( jQuery.fx.off ) {
- opt.duration = 0;
-
- } else {
- if ( typeof opt.duration !== "number" ) {
- if ( opt.duration in jQuery.fx.speeds ) {
- opt.duration = jQuery.fx.speeds[ opt.duration ];
-
- } else {
- opt.duration = jQuery.fx.speeds._default;
- }
- }
- }
-
- // Normalize opt.queue - true/undefined/null -> "fx"
- if ( opt.queue == null || opt.queue === true ) {
- opt.queue = "fx";
- }
-
- // Queueing
- opt.old = opt.complete;
-
- opt.complete = function() {
- if ( isFunction( opt.old ) ) {
- opt.old.call( this );
- }
-
- if ( opt.queue ) {
- jQuery.dequeue( this, opt.queue );
- }
- };
-
- return opt;
-};
-
-jQuery.fn.extend( {
- fadeTo: function( speed, to, easing, callback ) {
-
- // Show any hidden elements after setting opacity to 0
- return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
-
- // Animate to the value specified
- .end().animate( { opacity: to }, speed, easing, callback );
- },
- animate: function( prop, speed, easing, callback ) {
- var empty = jQuery.isEmptyObject( prop ),
- optall = jQuery.speed( speed, easing, callback ),
- doAnimation = function() {
-
- // Operate on a copy of prop so per-property easing won't be lost
- var anim = Animation( this, jQuery.extend( {}, prop ), optall );
-
- // Empty animations, or finishing resolves immediately
- if ( empty || dataPriv.get( this, "finish" ) ) {
- anim.stop( true );
- }
- };
-
- doAnimation.finish = doAnimation;
-
- return empty || optall.queue === false ?
- this.each( doAnimation ) :
- this.queue( optall.queue, doAnimation );
- },
- stop: function( type, clearQueue, gotoEnd ) {
- var stopQueue = function( hooks ) {
- var stop = hooks.stop;
- delete hooks.stop;
- stop( gotoEnd );
- };
-
- if ( typeof type !== "string" ) {
- gotoEnd = clearQueue;
- clearQueue = type;
- type = undefined;
- }
- if ( clearQueue ) {
- this.queue( type || "fx", [] );
- }
-
- return this.each( function() {
- var dequeue = true,
- index = type != null && type + "queueHooks",
- timers = jQuery.timers,
- data = dataPriv.get( this );
-
- if ( index ) {
- if ( data[ index ] && data[ index ].stop ) {
- stopQueue( data[ index ] );
- }
- } else {
- for ( index in data ) {
- if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
- stopQueue( data[ index ] );
- }
- }
- }
-
- for ( index = timers.length; index--; ) {
- if ( timers[ index ].elem === this &&
- ( type == null || timers[ index ].queue === type ) ) {
-
- timers[ index ].anim.stop( gotoEnd );
- dequeue = false;
- timers.splice( index, 1 );
- }
- }
-
- // Start the next in the queue if the last step wasn't forced.
- // Timers currently will call their complete callbacks, which
- // will dequeue but only if they were gotoEnd.
- if ( dequeue || !gotoEnd ) {
- jQuery.dequeue( this, type );
- }
- } );
- },
- finish: function( type ) {
- if ( type !== false ) {
- type = type || "fx";
- }
- return this.each( function() {
- var index,
- data = dataPriv.get( this ),
- queue = data[ type + "queue" ],
- hooks = data[ type + "queueHooks" ],
- timers = jQuery.timers,
- length = queue ? queue.length : 0;
-
- // Enable finishing flag on private data
- data.finish = true;
-
- // Empty the queue first
- jQuery.queue( this, type, [] );
-
- if ( hooks && hooks.stop ) {
- hooks.stop.call( this, true );
- }
-
- // Look for any active animations, and finish them
- for ( index = timers.length; index--; ) {
- if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
- timers[ index ].anim.stop( true );
- timers.splice( index, 1 );
- }
- }
-
- // Look for any animations in the old queue and finish them
- for ( index = 0; index < length; index++ ) {
- if ( queue[ index ] && queue[ index ].finish ) {
- queue[ index ].finish.call( this );
- }
- }
-
- // Turn off finishing flag
- delete data.finish;
- } );
- }
-} );
-
-jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
- var cssFn = jQuery.fn[ name ];
- jQuery.fn[ name ] = function( speed, easing, callback ) {
- return speed == null || typeof speed === "boolean" ?
- cssFn.apply( this, arguments ) :
- this.animate( genFx( name, true ), speed, easing, callback );
- };
-} );
-
-// Generate shortcuts for custom animations
-jQuery.each( {
- slideDown: genFx( "show" ),
- slideUp: genFx( "hide" ),
- slideToggle: genFx( "toggle" ),
- fadeIn: { opacity: "show" },
- fadeOut: { opacity: "hide" },
- fadeToggle: { opacity: "toggle" }
-}, function( name, props ) {
- jQuery.fn[ name ] = function( speed, easing, callback ) {
- return this.animate( props, speed, easing, callback );
- };
-} );
-
-jQuery.timers = [];
-jQuery.fx.tick = function() {
- var timer,
- i = 0,
- timers = jQuery.timers;
-
- fxNow = Date.now();
-
- for ( ; i < timers.length; i++ ) {
- timer = timers[ i ];
-
- // Run the timer and safely remove it when done (allowing for external removal)
- if ( !timer() && timers[ i ] === timer ) {
- timers.splice( i--, 1 );
- }
- }
-
- if ( !timers.length ) {
- jQuery.fx.stop();
- }
- fxNow = undefined;
-};
-
-jQuery.fx.timer = function( timer ) {
- jQuery.timers.push( timer );
- jQuery.fx.start();
-};
-
-jQuery.fx.interval = 13;
-jQuery.fx.start = function() {
- if ( inProgress ) {
- return;
- }
-
- inProgress = true;
- schedule();
-};
-
-jQuery.fx.stop = function() {
- inProgress = null;
-};
-
-jQuery.fx.speeds = {
- slow: 600,
- fast: 200,
-
- // Default speed
- _default: 400
-};
-
-
-// Based off of the plugin by Clint Helfers, with permission.
-// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
-jQuery.fn.delay = function( time, type ) {
- time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
- type = type || "fx";
-
- return this.queue( type, function( next, hooks ) {
- var timeout = window.setTimeout( next, time );
- hooks.stop = function() {
- window.clearTimeout( timeout );
- };
- } );
-};
-
-
-( function() {
- var input = document.createElement( "input" ),
- select = document.createElement( "select" ),
- opt = select.appendChild( document.createElement( "option" ) );
-
- input.type = "checkbox";
-
- // Support: Android <=4.3 only
- // Default value for a checkbox should be "on"
- support.checkOn = input.value !== "";
-
- // Support: IE <=11 only
- // Must access selectedIndex to make default options select
- support.optSelected = opt.selected;
-
- // Support: IE <=11 only
- // An input loses its value after becoming a radio
- input = document.createElement( "input" );
- input.value = "t";
- input.type = "radio";
- support.radioValue = input.value === "t";
-} )();
-
-
-var boolHook,
- attrHandle = jQuery.expr.attrHandle;
-
-jQuery.fn.extend( {
- attr: function( name, value ) {
- return access( this, jQuery.attr, name, value, arguments.length > 1 );
- },
-
- removeAttr: function( name ) {
- return this.each( function() {
- jQuery.removeAttr( this, name );
- } );
- }
-} );
-
-jQuery.extend( {
- attr: function( elem, name, value ) {
- var ret, hooks,
- nType = elem.nodeType;
-
- // Don't get/set attributes on text, comment and attribute nodes
- if ( nType === 3 || nType === 8 || nType === 2 ) {
- return;
- }
-
- // Fallback to prop when attributes are not supported
- if ( typeof elem.getAttribute === "undefined" ) {
- return jQuery.prop( elem, name, value );
- }
-
- // Attribute hooks are determined by the lowercase version
- // Grab necessary hook if one is defined
- if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
- hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
- ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
- }
-
- if ( value !== undefined ) {
- if ( value === null ) {
- jQuery.removeAttr( elem, name );
- return;
- }
-
- if ( hooks && "set" in hooks &&
- ( ret = hooks.set( elem, value, name ) ) !== undefined ) {
- return ret;
- }
-
- elem.setAttribute( name, value + "" );
- return value;
- }
-
- if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
- return ret;
- }
-
- ret = jQuery.find.attr( elem, name );
-
- // Non-existent attributes return null, we normalize to undefined
- return ret == null ? undefined : ret;
- },
-
- attrHooks: {
- type: {
- set: function( elem, value ) {
- if ( !support.radioValue && value === "radio" &&
- nodeName( elem, "input" ) ) {
- var val = elem.value;
- elem.setAttribute( "type", value );
- if ( val ) {
- elem.value = val;
- }
- return value;
- }
- }
- }
- },
-
- removeAttr: function( elem, value ) {
- var name,
- i = 0,
-
- // Attribute names can contain non-HTML whitespace characters
- // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
- attrNames = value && value.match( rnothtmlwhite );
-
- if ( attrNames && elem.nodeType === 1 ) {
- while ( ( name = attrNames[ i++ ] ) ) {
- elem.removeAttribute( name );
- }
- }
- }
-} );
-
-// Hooks for boolean attributes
-boolHook = {
- set: function( elem, value, name ) {
- if ( value === false ) {
-
- // Remove boolean attributes when set to false
- jQuery.removeAttr( elem, name );
- } else {
- elem.setAttribute( name, name );
- }
- return name;
- }
-};
-
-jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
- var getter = attrHandle[ name ] || jQuery.find.attr;
-
- attrHandle[ name ] = function( elem, name, isXML ) {
- var ret, handle,
- lowercaseName = name.toLowerCase();
-
- if ( !isXML ) {
-
- // Avoid an infinite loop by temporarily removing this function from the getter
- handle = attrHandle[ lowercaseName ];
- attrHandle[ lowercaseName ] = ret;
- ret = getter( elem, name, isXML ) != null ?
- lowercaseName :
- null;
- attrHandle[ lowercaseName ] = handle;
- }
- return ret;
- };
-} );
-
-
-
-
-var rfocusable = /^(?:input|select|textarea|button)$/i,
- rclickable = /^(?:a|area)$/i;
-
-jQuery.fn.extend( {
- prop: function( name, value ) {
- return access( this, jQuery.prop, name, value, arguments.length > 1 );
- },
-
- removeProp: function( name ) {
- return this.each( function() {
- delete this[ jQuery.propFix[ name ] || name ];
- } );
- }
-} );
-
-jQuery.extend( {
- prop: function( elem, name, value ) {
- var ret, hooks,
- nType = elem.nodeType;
-
- // Don't get/set properties on text, comment and attribute nodes
- if ( nType === 3 || nType === 8 || nType === 2 ) {
- return;
- }
-
- if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
-
- // Fix name and attach hooks
- name = jQuery.propFix[ name ] || name;
- hooks = jQuery.propHooks[ name ];
- }
-
- if ( value !== undefined ) {
- if ( hooks && "set" in hooks &&
- ( ret = hooks.set( elem, value, name ) ) !== undefined ) {
- return ret;
- }
-
- return ( elem[ name ] = value );
- }
-
- if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
- return ret;
- }
-
- return elem[ name ];
- },
-
- propHooks: {
- tabIndex: {
- get: function( elem ) {
-
- // Support: IE <=9 - 11 only
- // elem.tabIndex doesn't always return the
- // correct value when it hasn't been explicitly set
- // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
- // Use proper attribute retrieval(#12072)
- var tabindex = jQuery.find.attr( elem, "tabindex" );
-
- if ( tabindex ) {
- return parseInt( tabindex, 10 );
- }
-
- if (
- rfocusable.test( elem.nodeName ) ||
- rclickable.test( elem.nodeName ) &&
- elem.href
- ) {
- return 0;
- }
-
- return -1;
- }
- }
- },
-
- propFix: {
- "for": "htmlFor",
- "class": "className"
- }
-} );
-
-// Support: IE <=11 only
-// Accessing the selectedIndex property
-// forces the browser to respect setting selected
-// on the option
-// The getter ensures a default option is selected
-// when in an optgroup
-// eslint rule "no-unused-expressions" is disabled for this code
-// since it considers such accessions noop
-if ( !support.optSelected ) {
- jQuery.propHooks.selected = {
- get: function( elem ) {
-
- /* eslint no-unused-expressions: "off" */
-
- var parent = elem.parentNode;
- if ( parent && parent.parentNode ) {
- parent.parentNode.selectedIndex;
- }
- return null;
- },
- set: function( elem ) {
-
- /* eslint no-unused-expressions: "off" */
-
- var parent = elem.parentNode;
- if ( parent ) {
- parent.selectedIndex;
-
- if ( parent.parentNode ) {
- parent.parentNode.selectedIndex;
- }
- }
- }
- };
-}
-
-jQuery.each( [
- "tabIndex",
- "readOnly",
- "maxLength",
- "cellSpacing",
- "cellPadding",
- "rowSpan",
- "colSpan",
- "useMap",
- "frameBorder",
- "contentEditable"
-], function() {
- jQuery.propFix[ this.toLowerCase() ] = this;
-} );
-
-
-
-
- // Strip and collapse whitespace according to HTML spec
- // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
- function stripAndCollapse( value ) {
- var tokens = value.match( rnothtmlwhite ) || [];
- return tokens.join( " " );
- }
-
-
-function getClass( elem ) {
- return elem.getAttribute && elem.getAttribute( "class" ) || "";
-}
-
-function classesToArray( value ) {
- if ( Array.isArray( value ) ) {
- return value;
- }
- if ( typeof value === "string" ) {
- return value.match( rnothtmlwhite ) || [];
- }
- return [];
-}
-
-jQuery.fn.extend( {
- addClass: function( value ) {
- var classes, elem, cur, curValue, clazz, j, finalValue,
- i = 0;
-
- if ( isFunction( value ) ) {
- return this.each( function( j ) {
- jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
- } );
- }
-
- classes = classesToArray( value );
-
- if ( classes.length ) {
- while ( ( elem = this[ i++ ] ) ) {
- curValue = getClass( elem );
- cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
- if ( cur ) {
- j = 0;
- while ( ( clazz = classes[ j++ ] ) ) {
- if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
- cur += clazz + " ";
- }
- }
-
- // Only assign if different to avoid unneeded rendering.
- finalValue = stripAndCollapse( cur );
- if ( curValue !== finalValue ) {
- elem.setAttribute( "class", finalValue );
- }
- }
- }
- }
-
- return this;
- },
-
- removeClass: function( value ) {
- var classes, elem, cur, curValue, clazz, j, finalValue,
- i = 0;
-
- if ( isFunction( value ) ) {
- return this.each( function( j ) {
- jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
- } );
- }
-
- if ( !arguments.length ) {
- return this.attr( "class", "" );
- }
-
- classes = classesToArray( value );
-
- if ( classes.length ) {
- while ( ( elem = this[ i++ ] ) ) {
- curValue = getClass( elem );
-
- // This expression is here for better compressibility (see addClass)
- cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
- if ( cur ) {
- j = 0;
- while ( ( clazz = classes[ j++ ] ) ) {
-
- // Remove *all* instances
- while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
- cur = cur.replace( " " + clazz + " ", " " );
- }
- }
-
- // Only assign if different to avoid unneeded rendering.
- finalValue = stripAndCollapse( cur );
- if ( curValue !== finalValue ) {
- elem.setAttribute( "class", finalValue );
- }
- }
- }
- }
-
- return this;
- },
-
- toggleClass: function( value, stateVal ) {
- var type = typeof value,
- isValidValue = type === "string" || Array.isArray( value );
-
- if ( typeof stateVal === "boolean" && isValidValue ) {
- return stateVal ? this.addClass( value ) : this.removeClass( value );
- }
-
- if ( isFunction( value ) ) {
- return this.each( function( i ) {
- jQuery( this ).toggleClass(
- value.call( this, i, getClass( this ), stateVal ),
- stateVal
- );
- } );
- }
-
- return this.each( function() {
- var className, i, self, classNames;
-
- if ( isValidValue ) {
-
- // Toggle individual class names
- i = 0;
- self = jQuery( this );
- classNames = classesToArray( value );
-
- while ( ( className = classNames[ i++ ] ) ) {
-
- // Check each className given, space separated list
- if ( self.hasClass( className ) ) {
- self.removeClass( className );
- } else {
- self.addClass( className );
- }
- }
-
- // Toggle whole class name
- } else if ( value === undefined || type === "boolean" ) {
- className = getClass( this );
- if ( className ) {
-
- // Store className if set
- dataPriv.set( this, "__className__", className );
- }
-
- // If the element has a class name or if we're passed `false`,
- // then remove the whole classname (if there was one, the above saved it).
- // Otherwise bring back whatever was previously saved (if anything),
- // falling back to the empty string if nothing was stored.
- if ( this.setAttribute ) {
- this.setAttribute( "class",
- className || value === false ?
- "" :
- dataPriv.get( this, "__className__" ) || ""
- );
- }
- }
- } );
- },
-
- hasClass: function( selector ) {
- var className, elem,
- i = 0;
-
- className = " " + selector + " ";
- while ( ( elem = this[ i++ ] ) ) {
- if ( elem.nodeType === 1 &&
- ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
- return true;
- }
- }
-
- return false;
- }
-} );
-
-
-
-
-var rreturn = /\r/g;
-
-jQuery.fn.extend( {
- val: function( value ) {
- var hooks, ret, valueIsFunction,
- elem = this[ 0 ];
-
- if ( !arguments.length ) {
- if ( elem ) {
- hooks = jQuery.valHooks[ elem.type ] ||
- jQuery.valHooks[ elem.nodeName.toLowerCase() ];
-
- if ( hooks &&
- "get" in hooks &&
- ( ret = hooks.get( elem, "value" ) ) !== undefined
- ) {
- return ret;
- }
-
- ret = elem.value;
-
- // Handle most common string cases
- if ( typeof ret === "string" ) {
- return ret.replace( rreturn, "" );
- }
-
- // Handle cases where value is null/undef or number
- return ret == null ? "" : ret;
- }
-
- return;
- }
-
- valueIsFunction = isFunction( value );
-
- return this.each( function( i ) {
- var val;
-
- if ( this.nodeType !== 1 ) {
- return;
- }
-
- if ( valueIsFunction ) {
- val = value.call( this, i, jQuery( this ).val() );
- } else {
- val = value;
- }
-
- // Treat null/undefined as ""; convert numbers to string
- if ( val == null ) {
- val = "";
-
- } else if ( typeof val === "number" ) {
- val += "";
-
- } else if ( Array.isArray( val ) ) {
- val = jQuery.map( val, function( value ) {
- return value == null ? "" : value + "";
- } );
- }
-
- hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
-
- // If set returns undefined, fall back to normal setting
- if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
- this.value = val;
- }
- } );
- }
-} );
-
-jQuery.extend( {
- valHooks: {
- option: {
- get: function( elem ) {
-
- var val = jQuery.find.attr( elem, "value" );
- return val != null ?
- val :
-
- // Support: IE <=10 - 11 only
- // option.text throws exceptions (#14686, #14858)
- // Strip and collapse whitespace
- // https://html.spec.whatwg.org/#strip-and-collapse-whitespace
- stripAndCollapse( jQuery.text( elem ) );
- }
- },
- select: {
- get: function( elem ) {
- var value, option, i,
- options = elem.options,
- index = elem.selectedIndex,
- one = elem.type === "select-one",
- values = one ? null : [],
- max = one ? index + 1 : options.length;
-
- if ( index < 0 ) {
- i = max;
-
- } else {
- i = one ? index : 0;
- }
-
- // Loop through all the selected options
- for ( ; i < max; i++ ) {
- option = options[ i ];
-
- // Support: IE <=9 only
- // IE8-9 doesn't update selected after form reset (#2551)
- if ( ( option.selected || i === index ) &&
-
- // Don't return options that are disabled or in a disabled optgroup
- !option.disabled &&
- ( !option.parentNode.disabled ||
- !nodeName( option.parentNode, "optgroup" ) ) ) {
-
- // Get the specific value for the option
- value = jQuery( option ).val();
-
- // We don't need an array for one selects
- if ( one ) {
- return value;
- }
-
- // Multi-Selects return an array
- values.push( value );
- }
- }
-
- return values;
- },
-
- set: function( elem, value ) {
- var optionSet, option,
- options = elem.options,
- values = jQuery.makeArray( value ),
- i = options.length;
-
- while ( i-- ) {
- option = options[ i ];
-
- /* eslint-disable no-cond-assign */
-
- if ( option.selected =
- jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
- ) {
- optionSet = true;
- }
-
- /* eslint-enable no-cond-assign */
- }
-
- // Force browsers to behave consistently when non-matching value is set
- if ( !optionSet ) {
- elem.selectedIndex = -1;
- }
- return values;
- }
- }
- }
-} );
-
-// Radios and checkboxes getter/setter
-jQuery.each( [ "radio", "checkbox" ], function() {
- jQuery.valHooks[ this ] = {
- set: function( elem, value ) {
- if ( Array.isArray( value ) ) {
- return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
- }
- }
- };
- if ( !support.checkOn ) {
- jQuery.valHooks[ this ].get = function( elem ) {
- return elem.getAttribute( "value" ) === null ? "on" : elem.value;
- };
- }
-} );
-
-
-
-
-// Return jQuery for attributes-only inclusion
-
-
-support.focusin = "onfocusin" in window;
-
-
-var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
- stopPropagationCallback = function( e ) {
- e.stopPropagation();
- };
-
-jQuery.extend( jQuery.event, {
-
- trigger: function( event, data, elem, onlyHandlers ) {
-
- var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
- eventPath = [ elem || document ],
- type = hasOwn.call( event, "type" ) ? event.type : event,
- namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
-
- cur = lastElement = tmp = elem = elem || document;
-
- // Don't do events on text and comment nodes
- if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
- return;
- }
-
- // focus/blur morphs to focusin/out; ensure we're not firing them right now
- if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
- return;
- }
-
- if ( type.indexOf( "." ) > -1 ) {
-
- // Namespaced trigger; create a regexp to match event type in handle()
- namespaces = type.split( "." );
- type = namespaces.shift();
- namespaces.sort();
- }
- ontype = type.indexOf( ":" ) < 0 && "on" + type;
-
- // Caller can pass in a jQuery.Event object, Object, or just an event type string
- event = event[ jQuery.expando ] ?
- event :
- new jQuery.Event( type, typeof event === "object" && event );
-
- // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
- event.isTrigger = onlyHandlers ? 2 : 3;
- event.namespace = namespaces.join( "." );
- event.rnamespace = event.namespace ?
- new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
- null;
-
- // Clean up the event in case it is being reused
- event.result = undefined;
- if ( !event.target ) {
- event.target = elem;
- }
-
- // Clone any incoming data and prepend the event, creating the handler arg list
- data = data == null ?
- [ event ] :
- jQuery.makeArray( data, [ event ] );
-
- // Allow special events to draw outside the lines
- special = jQuery.event.special[ type ] || {};
- if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
- return;
- }
-
- // Determine event propagation path in advance, per W3C events spec (#9951)
- // Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
- if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
-
- bubbleType = special.delegateType || type;
- if ( !rfocusMorph.test( bubbleType + type ) ) {
- cur = cur.parentNode;
- }
- for ( ; cur; cur = cur.parentNode ) {
- eventPath.push( cur );
- tmp = cur;
- }
-
- // Only add window if we got to document (e.g., not plain obj or detached DOM)
- if ( tmp === ( elem.ownerDocument || document ) ) {
- eventPath.push( tmp.defaultView || tmp.parentWindow || window );
- }
- }
-
- // Fire handlers on the event path
- i = 0;
- while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
- lastElement = cur;
- event.type = i > 1 ?
- bubbleType :
- special.bindType || type;
-
- // jQuery handler
- handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
- dataPriv.get( cur, "handle" );
- if ( handle ) {
- handle.apply( cur, data );
- }
-
- // Native handler
- handle = ontype && cur[ ontype ];
- if ( handle && handle.apply && acceptData( cur ) ) {
- event.result = handle.apply( cur, data );
- if ( event.result === false ) {
- event.preventDefault();
- }
- }
- }
- event.type = type;
-
- // If nobody prevented the default action, do it now
- if ( !onlyHandlers && !event.isDefaultPrevented() ) {
-
- if ( ( !special._default ||
- special._default.apply( eventPath.pop(), data ) === false ) &&
- acceptData( elem ) ) {
-
- // Call a native DOM method on the target with the same name as the event.
- // Don't do default actions on window, that's where global variables be (#6170)
- if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
-
- // Don't re-trigger an onFOO event when we call its FOO() method
- tmp = elem[ ontype ];
-
- if ( tmp ) {
- elem[ ontype ] = null;
- }
-
- // Prevent re-triggering of the same event, since we already bubbled it above
- jQuery.event.triggered = type;
-
- if ( event.isPropagationStopped() ) {
- lastElement.addEventListener( type, stopPropagationCallback );
- }
-
- elem[ type ]();
-
- if ( event.isPropagationStopped() ) {
- lastElement.removeEventListener( type, stopPropagationCallback );
- }
-
- jQuery.event.triggered = undefined;
-
- if ( tmp ) {
- elem[ ontype ] = tmp;
- }
- }
- }
- }
-
- return event.result;
- },
-
- // Piggyback on a donor event to simulate a different one
- // Used only for `focus(in | out)` events
- simulate: function( type, elem, event ) {
- var e = jQuery.extend(
- new jQuery.Event(),
- event,
- {
- type: type,
- isSimulated: true
- }
- );
-
- jQuery.event.trigger( e, null, elem );
- }
-
-} );
-
-jQuery.fn.extend( {
-
- trigger: function( type, data ) {
- return this.each( function() {
- jQuery.event.trigger( type, data, this );
- } );
- },
- triggerHandler: function( type, data ) {
- var elem = this[ 0 ];
- if ( elem ) {
- return jQuery.event.trigger( type, data, elem, true );
- }
- }
-} );
-
-
-// Support: Firefox <=44
-// Firefox doesn't have focus(in | out) events
-// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
-//
-// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
-// focus(in | out) events fire after focus & blur events,
-// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
-// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
-if ( !support.focusin ) {
- jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
-
- // Attach a single capturing handler on the document while someone wants focusin/focusout
- var handler = function( event ) {
- jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
- };
-
- jQuery.event.special[ fix ] = {
- setup: function() {
-
- // Handle: regular nodes (via `this.ownerDocument`), window
- // (via `this.document`) & document (via `this`).
- var doc = this.ownerDocument || this.document || this,
- attaches = dataPriv.access( doc, fix );
-
- if ( !attaches ) {
- doc.addEventListener( orig, handler, true );
- }
- dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
- },
- teardown: function() {
- var doc = this.ownerDocument || this.document || this,
- attaches = dataPriv.access( doc, fix ) - 1;
-
- if ( !attaches ) {
- doc.removeEventListener( orig, handler, true );
- dataPriv.remove( doc, fix );
-
- } else {
- dataPriv.access( doc, fix, attaches );
- }
- }
- };
- } );
-}
-var location = window.location;
-
-var nonce = { guid: Date.now() };
-
-var rquery = ( /\?/ );
-
-
-
-// Cross-browser xml parsing
-jQuery.parseXML = function( data ) {
- var xml, parserErrorElem;
- if ( !data || typeof data !== "string" ) {
- return null;
- }
-
- // Support: IE 9 - 11 only
- // IE throws on parseFromString with invalid input.
- try {
- xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
- } catch ( e ) {}
-
- parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
- if ( !xml || parserErrorElem ) {
- jQuery.error( "Invalid XML: " + (
- parserErrorElem ?
- jQuery.map( parserErrorElem.childNodes, function( el ) {
- return el.textContent;
- } ).join( "\n" ) :
- data
- ) );
- }
- return xml;
-};
-
-
-var
- rbracket = /\[\]$/,
- rCRLF = /\r?\n/g,
- rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
- rsubmittable = /^(?:input|select|textarea|keygen)/i;
-
-function buildParams( prefix, obj, traditional, add ) {
- var name;
-
- if ( Array.isArray( obj ) ) {
-
- // Serialize array item.
- jQuery.each( obj, function( i, v ) {
- if ( traditional || rbracket.test( prefix ) ) {
-
- // Treat each array item as a scalar.
- add( prefix, v );
-
- } else {
-
- // Item is non-scalar (array or object), encode its numeric index.
- buildParams(
- prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
- v,
- traditional,
- add
- );
- }
- } );
-
- } else if ( !traditional && toType( obj ) === "object" ) {
-
- // Serialize object item.
- for ( name in obj ) {
- buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
- }
-
- } else {
-
- // Serialize scalar item.
- add( prefix, obj );
- }
-}
-
-// Serialize an array of form elements or a set of
-// key/values into a query string
-jQuery.param = function( a, traditional ) {
- var prefix,
- s = [],
- add = function( key, valueOrFunction ) {
-
- // If value is a function, invoke it and use its return value
- var value = isFunction( valueOrFunction ) ?
- valueOrFunction() :
- valueOrFunction;
-
- s[ s.length ] = encodeURIComponent( key ) + "=" +
- encodeURIComponent( value == null ? "" : value );
- };
-
- if ( a == null ) {
- return "";
- }
-
- // If an array was passed in, assume that it is an array of form elements.
- if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
-
- // Serialize the form elements
- jQuery.each( a, function() {
- add( this.name, this.value );
- } );
-
- } else {
-
- // If traditional, encode the "old" way (the way 1.3.2 or older
- // did it), otherwise encode params recursively.
- for ( prefix in a ) {
- buildParams( prefix, a[ prefix ], traditional, add );
- }
- }
-
- // Return the resulting serialization
- return s.join( "&" );
-};
-
-jQuery.fn.extend( {
- serialize: function() {
- return jQuery.param( this.serializeArray() );
- },
- serializeArray: function() {
- return this.map( function() {
-
- // Can add propHook for "elements" to filter or add form elements
- var elements = jQuery.prop( this, "elements" );
- return elements ? jQuery.makeArray( elements ) : this;
- } ).filter( function() {
- var type = this.type;
-
- // Use .is( ":disabled" ) so that fieldset[disabled] works
- return this.name && !jQuery( this ).is( ":disabled" ) &&
- rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
- ( this.checked || !rcheckableType.test( type ) );
- } ).map( function( _i, elem ) {
- var val = jQuery( this ).val();
-
- if ( val == null ) {
- return null;
- }
-
- if ( Array.isArray( val ) ) {
- return jQuery.map( val, function( val ) {
- return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
- } );
- }
-
- return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
- } ).get();
- }
-} );
-
-
-var
- r20 = /%20/g,
- rhash = /#.*$/,
- rantiCache = /([?&])_=[^&]*/,
- rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
-
- // #7653, #8125, #8152: local protocol detection
- rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
- rnoContent = /^(?:GET|HEAD)$/,
- rprotocol = /^\/\//,
-
- /* Prefilters
- * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
- * 2) These are called:
- * - BEFORE asking for a transport
- * - AFTER param serialization (s.data is a string if s.processData is true)
- * 3) key is the dataType
- * 4) the catchall symbol "*" can be used
- * 5) execution will start with transport dataType and THEN continue down to "*" if needed
- */
- prefilters = {},
-
- /* Transports bindings
- * 1) key is the dataType
- * 2) the catchall symbol "*" can be used
- * 3) selection will start with transport dataType and THEN go to "*" if needed
- */
- transports = {},
-
- // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
- allTypes = "*/".concat( "*" ),
-
- // Anchor tag for parsing the document origin
- originAnchor = document.createElement( "a" );
-
-originAnchor.href = location.href;
-
-// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
-function addToPrefiltersOrTransports( structure ) {
-
- // dataTypeExpression is optional and defaults to "*"
- return function( dataTypeExpression, func ) {
-
- if ( typeof dataTypeExpression !== "string" ) {
- func = dataTypeExpression;
- dataTypeExpression = "*";
- }
-
- var dataType,
- i = 0,
- dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
-
- if ( isFunction( func ) ) {
-
- // For each dataType in the dataTypeExpression
- while ( ( dataType = dataTypes[ i++ ] ) ) {
-
- // Prepend if requested
- if ( dataType[ 0 ] === "+" ) {
- dataType = dataType.slice( 1 ) || "*";
- ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
-
- // Otherwise append
- } else {
- ( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
- }
- }
- }
- };
-}
-
-// Base inspection function for prefilters and transports
-function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
-
- var inspected = {},
- seekingTransport = ( structure === transports );
-
- function inspect( dataType ) {
- var selected;
- inspected[ dataType ] = true;
- jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
- var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
- if ( typeof dataTypeOrTransport === "string" &&
- !seekingTransport && !inspected[ dataTypeOrTransport ] ) {
-
- options.dataTypes.unshift( dataTypeOrTransport );
- inspect( dataTypeOrTransport );
- return false;
- } else if ( seekingTransport ) {
- return !( selected = dataTypeOrTransport );
- }
- } );
- return selected;
- }
-
- return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
-}
-
-// A special extend for ajax options
-// that takes "flat" options (not to be deep extended)
-// Fixes #9887
-function ajaxExtend( target, src ) {
- var key, deep,
- flatOptions = jQuery.ajaxSettings.flatOptions || {};
-
- for ( key in src ) {
- if ( src[ key ] !== undefined ) {
- ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
- }
- }
- if ( deep ) {
- jQuery.extend( true, target, deep );
- }
-
- return target;
-}
-
-/* Handles responses to an ajax request:
- * - finds the right dataType (mediates between content-type and expected dataType)
- * - returns the corresponding response
- */
-function ajaxHandleResponses( s, jqXHR, responses ) {
-
- var ct, type, finalDataType, firstDataType,
- contents = s.contents,
- dataTypes = s.dataTypes;
-
- // Remove auto dataType and get content-type in the process
- while ( dataTypes[ 0 ] === "*" ) {
- dataTypes.shift();
- if ( ct === undefined ) {
- ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
- }
- }
-
- // Check if we're dealing with a known content-type
- if ( ct ) {
- for ( type in contents ) {
- if ( contents[ type ] && contents[ type ].test( ct ) ) {
- dataTypes.unshift( type );
- break;
- }
- }
- }
-
- // Check to see if we have a response for the expected dataType
- if ( dataTypes[ 0 ] in responses ) {
- finalDataType = dataTypes[ 0 ];
- } else {
-
- // Try convertible dataTypes
- for ( type in responses ) {
- if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
- finalDataType = type;
- break;
- }
- if ( !firstDataType ) {
- firstDataType = type;
- }
- }
-
- // Or just use first one
- finalDataType = finalDataType || firstDataType;
- }
-
- // If we found a dataType
- // We add the dataType to the list if needed
- // and return the corresponding response
- if ( finalDataType ) {
- if ( finalDataType !== dataTypes[ 0 ] ) {
- dataTypes.unshift( finalDataType );
- }
- return responses[ finalDataType ];
- }
-}
-
-/* Chain conversions given the request and the original response
- * Also sets the responseXXX fields on the jqXHR instance
- */
-function ajaxConvert( s, response, jqXHR, isSuccess ) {
- var conv2, current, conv, tmp, prev,
- converters = {},
-
- // Work with a copy of dataTypes in case we need to modify it for conversion
- dataTypes = s.dataTypes.slice();
-
- // Create converters map with lowercased keys
- if ( dataTypes[ 1 ] ) {
- for ( conv in s.converters ) {
- converters[ conv.toLowerCase() ] = s.converters[ conv ];
- }
- }
-
- current = dataTypes.shift();
-
- // Convert to each sequential dataType
- while ( current ) {
-
- if ( s.responseFields[ current ] ) {
- jqXHR[ s.responseFields[ current ] ] = response;
- }
-
- // Apply the dataFilter if provided
- if ( !prev && isSuccess && s.dataFilter ) {
- response = s.dataFilter( response, s.dataType );
- }
-
- prev = current;
- current = dataTypes.shift();
-
- if ( current ) {
-
- // There's only work to do if current dataType is non-auto
- if ( current === "*" ) {
-
- current = prev;
-
- // Convert response if prev dataType is non-auto and differs from current
- } else if ( prev !== "*" && prev !== current ) {
-
- // Seek a direct converter
- conv = converters[ prev + " " + current ] || converters[ "* " + current ];
-
- // If none found, seek a pair
- if ( !conv ) {
- for ( conv2 in converters ) {
-
- // If conv2 outputs current
- tmp = conv2.split( " " );
- if ( tmp[ 1 ] === current ) {
-
- // If prev can be converted to accepted input
- conv = converters[ prev + " " + tmp[ 0 ] ] ||
- converters[ "* " + tmp[ 0 ] ];
- if ( conv ) {
-
- // Condense equivalence converters
- if ( conv === true ) {
- conv = converters[ conv2 ];
-
- // Otherwise, insert the intermediate dataType
- } else if ( converters[ conv2 ] !== true ) {
- current = tmp[ 0 ];
- dataTypes.unshift( tmp[ 1 ] );
- }
- break;
- }
- }
- }
- }
-
- // Apply converter (if not an equivalence)
- if ( conv !== true ) {
-
- // Unless errors are allowed to bubble, catch and return them
- if ( conv && s.throws ) {
- response = conv( response );
- } else {
- try {
- response = conv( response );
- } catch ( e ) {
- return {
- state: "parsererror",
- error: conv ? e : "No conversion from " + prev + " to " + current
- };
- }
- }
- }
- }
- }
- }
-
- return { state: "success", data: response };
-}
-
-jQuery.extend( {
-
- // Counter for holding the number of active queries
- active: 0,
-
- // Last-Modified header cache for next request
- lastModified: {},
- etag: {},
-
- ajaxSettings: {
- url: location.href,
- type: "GET",
- isLocal: rlocalProtocol.test( location.protocol ),
- global: true,
- processData: true,
- async: true,
- contentType: "application/x-www-form-urlencoded; charset=UTF-8",
-
- /*
- timeout: 0,
- data: null,
- dataType: null,
- username: null,
- password: null,
- cache: null,
- throws: false,
- traditional: false,
- headers: {},
- */
-
- accepts: {
- "*": allTypes,
- text: "text/plain",
- html: "text/html",
- xml: "application/xml, text/xml",
- json: "application/json, text/javascript"
- },
-
- contents: {
- xml: /\bxml\b/,
- html: /\bhtml/,
- json: /\bjson\b/
- },
-
- responseFields: {
- xml: "responseXML",
- text: "responseText",
- json: "responseJSON"
- },
-
- // Data converters
- // Keys separate source (or catchall "*") and destination types with a single space
- converters: {
-
- // Convert anything to text
- "* text": String,
-
- // Text to html (true = no transformation)
- "text html": true,
-
- // Evaluate text as a json expression
- "text json": JSON.parse,
-
- // Parse text as xml
- "text xml": jQuery.parseXML
- },
-
- // For options that shouldn't be deep extended:
- // you can add your own custom options here if
- // and when you create one that shouldn't be
- // deep extended (see ajaxExtend)
- flatOptions: {
- url: true,
- context: true
- }
- },
-
- // Creates a full fledged settings object into target
- // with both ajaxSettings and settings fields.
- // If target is omitted, writes into ajaxSettings.
- ajaxSetup: function( target, settings ) {
- return settings ?
-
- // Building a settings object
- ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
-
- // Extending ajaxSettings
- ajaxExtend( jQuery.ajaxSettings, target );
- },
-
- ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
- ajaxTransport: addToPrefiltersOrTransports( transports ),
-
- // Main method
- ajax: function( url, options ) {
-
- // If url is an object, simulate pre-1.5 signature
- if ( typeof url === "object" ) {
- options = url;
- url = undefined;
- }
-
- // Force options to be an object
- options = options || {};
-
- var transport,
-
- // URL without anti-cache param
- cacheURL,
-
- // Response headers
- responseHeadersString,
- responseHeaders,
-
- // timeout handle
- timeoutTimer,
-
- // Url cleanup var
- urlAnchor,
-
- // Request state (becomes false upon send and true upon completion)
- completed,
-
- // To know if global events are to be dispatched
- fireGlobals,
-
- // Loop variable
- i,
-
- // uncached part of the url
- uncached,
-
- // Create the final options object
- s = jQuery.ajaxSetup( {}, options ),
-
- // Callbacks context
- callbackContext = s.context || s,
-
- // Context for global events is callbackContext if it is a DOM node or jQuery collection
- globalEventContext = s.context &&
- ( callbackContext.nodeType || callbackContext.jquery ) ?
- jQuery( callbackContext ) :
- jQuery.event,
-
- // Deferreds
- deferred = jQuery.Deferred(),
- completeDeferred = jQuery.Callbacks( "once memory" ),
-
- // Status-dependent callbacks
- statusCode = s.statusCode || {},
-
- // Headers (they are sent all at once)
- requestHeaders = {},
- requestHeadersNames = {},
-
- // Default abort message
- strAbort = "canceled",
-
- // Fake xhr
- jqXHR = {
- readyState: 0,
-
- // Builds headers hashtable if needed
- getResponseHeader: function( key ) {
- var match;
- if ( completed ) {
- if ( !responseHeaders ) {
- responseHeaders = {};
- while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
- responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
- ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
- .concat( match[ 2 ] );
- }
- }
- match = responseHeaders[ key.toLowerCase() + " " ];
- }
- return match == null ? null : match.join( ", " );
- },
-
- // Raw string
- getAllResponseHeaders: function() {
- return completed ? responseHeadersString : null;
- },
-
- // Caches the header
- setRequestHeader: function( name, value ) {
- if ( completed == null ) {
- name = requestHeadersNames[ name.toLowerCase() ] =
- requestHeadersNames[ name.toLowerCase() ] || name;
- requestHeaders[ name ] = value;
- }
- return this;
- },
-
- // Overrides response content-type header
- overrideMimeType: function( type ) {
- if ( completed == null ) {
- s.mimeType = type;
- }
- return this;
- },
-
- // Status-dependent callbacks
- statusCode: function( map ) {
- var code;
- if ( map ) {
- if ( completed ) {
-
- // Execute the appropriate callbacks
- jqXHR.always( map[ jqXHR.status ] );
- } else {
-
- // Lazy-add the new callbacks in a way that preserves old ones
- for ( code in map ) {
- statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
- }
- }
- }
- return this;
- },
-
- // Cancel the request
- abort: function( statusText ) {
- var finalText = statusText || strAbort;
- if ( transport ) {
- transport.abort( finalText );
- }
- done( 0, finalText );
- return this;
- }
- };
-
- // Attach deferreds
- deferred.promise( jqXHR );
-
- // Add protocol if not provided (prefilters might expect it)
- // Handle falsy url in the settings object (#10093: consistency with old signature)
- // We also use the url parameter if available
- s.url = ( ( url || s.url || location.href ) + "" )
- .replace( rprotocol, location.protocol + "//" );
-
- // Alias method option to type as per ticket #12004
- s.type = options.method || options.type || s.method || s.type;
-
- // Extract dataTypes list
- s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
-
- // A cross-domain request is in order when the origin doesn't match the current origin.
- if ( s.crossDomain == null ) {
- urlAnchor = document.createElement( "a" );
-
- // Support: IE <=8 - 11, Edge 12 - 15
- // IE throws exception on accessing the href property if url is malformed,
- // e.g. http://example.com:80x/
- try {
- urlAnchor.href = s.url;
-
- // Support: IE <=8 - 11 only
- // Anchor's host property isn't correctly set when s.url is relative
- urlAnchor.href = urlAnchor.href;
- s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
- urlAnchor.protocol + "//" + urlAnchor.host;
- } catch ( e ) {
-
- // If there is an error parsing the URL, assume it is crossDomain,
- // it can be rejected by the transport if it is invalid
- s.crossDomain = true;
- }
- }
-
- // Convert data if not already a string
- if ( s.data && s.processData && typeof s.data !== "string" ) {
- s.data = jQuery.param( s.data, s.traditional );
- }
-
- // Apply prefilters
- inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
-
- // If request was aborted inside a prefilter, stop there
- if ( completed ) {
- return jqXHR;
- }
-
- // We can fire global events as of now if asked to
- // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
- fireGlobals = jQuery.event && s.global;
-
- // Watch for a new set of requests
- if ( fireGlobals && jQuery.active++ === 0 ) {
- jQuery.event.trigger( "ajaxStart" );
- }
-
- // Uppercase the type
- s.type = s.type.toUpperCase();
-
- // Determine if request has content
- s.hasContent = !rnoContent.test( s.type );
-
- // Save the URL in case we're toying with the If-Modified-Since
- // and/or If-None-Match header later on
- // Remove hash to simplify url manipulation
- cacheURL = s.url.replace( rhash, "" );
-
- // More options handling for requests with no content
- if ( !s.hasContent ) {
-
- // Remember the hash so we can put it back
- uncached = s.url.slice( cacheURL.length );
-
- // If data is available and should be processed, append data to url
- if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
- cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
-
- // #9682: remove data so that it's not used in an eventual retry
- delete s.data;
- }
-
- // Add or update anti-cache param if needed
- if ( s.cache === false ) {
- cacheURL = cacheURL.replace( rantiCache, "$1" );
- uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
- uncached;
- }
-
- // Put hash and anti-cache on the URL that will be requested (gh-1732)
- s.url = cacheURL + uncached;
-
- // Change '%20' to '+' if this is encoded form body content (gh-2658)
- } else if ( s.data && s.processData &&
- ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
- s.data = s.data.replace( r20, "+" );
- }
-
- // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
- if ( s.ifModified ) {
- if ( jQuery.lastModified[ cacheURL ] ) {
- jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
- }
- if ( jQuery.etag[ cacheURL ] ) {
- jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
- }
- }
-
- // Set the correct header, if data is being sent
- if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
- jqXHR.setRequestHeader( "Content-Type", s.contentType );
- }
-
- // Set the Accepts header for the server, depending on the dataType
- jqXHR.setRequestHeader(
- "Accept",
- s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
- s.accepts[ s.dataTypes[ 0 ] ] +
- ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
- s.accepts[ "*" ]
- );
-
- // Check for headers option
- for ( i in s.headers ) {
- jqXHR.setRequestHeader( i, s.headers[ i ] );
- }
-
- // Allow custom headers/mimetypes and early abort
- if ( s.beforeSend &&
- ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
-
- // Abort if not done already and return
- return jqXHR.abort();
- }
-
- // Aborting is no longer a cancellation
- strAbort = "abort";
-
- // Install callbacks on deferreds
- completeDeferred.add( s.complete );
- jqXHR.done( s.success );
- jqXHR.fail( s.error );
-
- // Get transport
- transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
-
- // If no transport, we auto-abort
- if ( !transport ) {
- done( -1, "No Transport" );
- } else {
- jqXHR.readyState = 1;
-
- // Send global event
- if ( fireGlobals ) {
- globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
- }
-
- // If request was aborted inside ajaxSend, stop there
- if ( completed ) {
- return jqXHR;
- }
-
- // Timeout
- if ( s.async && s.timeout > 0 ) {
- timeoutTimer = window.setTimeout( function() {
- jqXHR.abort( "timeout" );
- }, s.timeout );
- }
-
- try {
- completed = false;
- transport.send( requestHeaders, done );
- } catch ( e ) {
-
- // Rethrow post-completion exceptions
- if ( completed ) {
- throw e;
- }
-
- // Propagate others as results
- done( -1, e );
- }
- }
-
- // Callback for when everything is done
- function done( status, nativeStatusText, responses, headers ) {
- var isSuccess, success, error, response, modified,
- statusText = nativeStatusText;
-
- // Ignore repeat invocations
- if ( completed ) {
- return;
- }
-
- completed = true;
-
- // Clear timeout if it exists
- if ( timeoutTimer ) {
- window.clearTimeout( timeoutTimer );
- }
-
- // Dereference transport for early garbage collection
- // (no matter how long the jqXHR object will be used)
- transport = undefined;
-
- // Cache response headers
- responseHeadersString = headers || "";
-
- // Set readyState
- jqXHR.readyState = status > 0 ? 4 : 0;
-
- // Determine if successful
- isSuccess = status >= 200 && status < 300 || status === 304;
-
- // Get response data
- if ( responses ) {
- response = ajaxHandleResponses( s, jqXHR, responses );
- }
-
- // Use a noop converter for missing script but not if jsonp
- if ( !isSuccess &&
- jQuery.inArray( "script", s.dataTypes ) > -1 &&
- jQuery.inArray( "json", s.dataTypes ) < 0 ) {
- s.converters[ "text script" ] = function() {};
- }
-
- // Convert no matter what (that way responseXXX fields are always set)
- response = ajaxConvert( s, response, jqXHR, isSuccess );
-
- // If successful, handle type chaining
- if ( isSuccess ) {
-
- // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
- if ( s.ifModified ) {
- modified = jqXHR.getResponseHeader( "Last-Modified" );
- if ( modified ) {
- jQuery.lastModified[ cacheURL ] = modified;
- }
- modified = jqXHR.getResponseHeader( "etag" );
- if ( modified ) {
- jQuery.etag[ cacheURL ] = modified;
- }
- }
-
- // if no content
- if ( status === 204 || s.type === "HEAD" ) {
- statusText = "nocontent";
-
- // if not modified
- } else if ( status === 304 ) {
- statusText = "notmodified";
-
- // If we have data, let's convert it
- } else {
- statusText = response.state;
- success = response.data;
- error = response.error;
- isSuccess = !error;
- }
- } else {
-
- // Extract error from statusText and normalize for non-aborts
- error = statusText;
- if ( status || !statusText ) {
- statusText = "error";
- if ( status < 0 ) {
- status = 0;
- }
- }
- }
-
- // Set data for the fake xhr object
- jqXHR.status = status;
- jqXHR.statusText = ( nativeStatusText || statusText ) + "";
-
- // Success/Error
- if ( isSuccess ) {
- deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
- } else {
- deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
- }
-
- // Status-dependent callbacks
- jqXHR.statusCode( statusCode );
- statusCode = undefined;
-
- if ( fireGlobals ) {
- globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
- [ jqXHR, s, isSuccess ? success : error ] );
- }
-
- // Complete
- completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
-
- if ( fireGlobals ) {
- globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
-
- // Handle the global AJAX counter
- if ( !( --jQuery.active ) ) {
- jQuery.event.trigger( "ajaxStop" );
- }
- }
- }
-
- return jqXHR;
- },
-
- getJSON: function( url, data, callback ) {
- return jQuery.get( url, data, callback, "json" );
- },
-
- getScript: function( url, callback ) {
- return jQuery.get( url, undefined, callback, "script" );
- }
-} );
-
-jQuery.each( [ "get", "post" ], function( _i, method ) {
- jQuery[ method ] = function( url, data, callback, type ) {
-
- // Shift arguments if data argument was omitted
- if ( isFunction( data ) ) {
- type = type || callback;
- callback = data;
- data = undefined;
- }
-
- // The url can be an options object (which then must have .url)
- return jQuery.ajax( jQuery.extend( {
- url: url,
- type: method,
- dataType: type,
- data: data,
- success: callback
- }, jQuery.isPlainObject( url ) && url ) );
- };
-} );
-
-jQuery.ajaxPrefilter( function( s ) {
- var i;
- for ( i in s.headers ) {
- if ( i.toLowerCase() === "content-type" ) {
- s.contentType = s.headers[ i ] || "";
- }
- }
-} );
-
-
-jQuery._evalUrl = function( url, options, doc ) {
- return jQuery.ajax( {
- url: url,
-
- // Make this explicit, since user can override this through ajaxSetup (#11264)
- type: "GET",
- dataType: "script",
- cache: true,
- async: false,
- global: false,
-
- // Only evaluate the response if it is successful (gh-4126)
- // dataFilter is not invoked for failure responses, so using it instead
- // of the default converter is kludgy but it works.
- converters: {
- "text script": function() {}
- },
- dataFilter: function( response ) {
- jQuery.globalEval( response, options, doc );
- }
- } );
-};
-
-
-jQuery.fn.extend( {
- wrapAll: function( html ) {
- var wrap;
-
- if ( this[ 0 ] ) {
- if ( isFunction( html ) ) {
- html = html.call( this[ 0 ] );
- }
-
- // The elements to wrap the target around
- wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
-
- if ( this[ 0 ].parentNode ) {
- wrap.insertBefore( this[ 0 ] );
- }
-
- wrap.map( function() {
- var elem = this;
-
- while ( elem.firstElementChild ) {
- elem = elem.firstElementChild;
- }
-
- return elem;
- } ).append( this );
- }
-
- return this;
- },
-
- wrapInner: function( html ) {
- if ( isFunction( html ) ) {
- return this.each( function( i ) {
- jQuery( this ).wrapInner( html.call( this, i ) );
- } );
- }
-
- return this.each( function() {
- var self = jQuery( this ),
- contents = self.contents();
-
- if ( contents.length ) {
- contents.wrapAll( html );
-
- } else {
- self.append( html );
- }
- } );
- },
-
- wrap: function( html ) {
- var htmlIsFunction = isFunction( html );
-
- return this.each( function( i ) {
- jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
- } );
- },
-
- unwrap: function( selector ) {
- this.parent( selector ).not( "body" ).each( function() {
- jQuery( this ).replaceWith( this.childNodes );
- } );
- return this;
- }
-} );
-
-
-jQuery.expr.pseudos.hidden = function( elem ) {
- return !jQuery.expr.pseudos.visible( elem );
-};
-jQuery.expr.pseudos.visible = function( elem ) {
- return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
-};
-
-
-
-
-jQuery.ajaxSettings.xhr = function() {
- try {
- return new window.XMLHttpRequest();
- } catch ( e ) {}
-};
-
-var xhrSuccessStatus = {
-
- // File protocol always yields status code 0, assume 200
- 0: 200,
-
- // Support: IE <=9 only
- // #1450: sometimes IE returns 1223 when it should be 204
- 1223: 204
- },
- xhrSupported = jQuery.ajaxSettings.xhr();
-
-support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
-support.ajax = xhrSupported = !!xhrSupported;
-
-jQuery.ajaxTransport( function( options ) {
- var callback, errorCallback;
-
- // Cross domain only allowed if supported through XMLHttpRequest
- if ( support.cors || xhrSupported && !options.crossDomain ) {
- return {
- send: function( headers, complete ) {
- var i,
- xhr = options.xhr();
-
- xhr.open(
- options.type,
- options.url,
- options.async,
- options.username,
- options.password
- );
-
- // Apply custom fields if provided
- if ( options.xhrFields ) {
- for ( i in options.xhrFields ) {
- xhr[ i ] = options.xhrFields[ i ];
- }
- }
-
- // Override mime type if needed
- if ( options.mimeType && xhr.overrideMimeType ) {
- xhr.overrideMimeType( options.mimeType );
- }
-
- // X-Requested-With header
- // For cross-domain requests, seeing as conditions for a preflight are
- // akin to a jigsaw puzzle, we simply never set it to be sure.
- // (it can always be set on a per-request basis or even using ajaxSetup)
- // For same-domain requests, won't change header if already provided.
- if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
- headers[ "X-Requested-With" ] = "XMLHttpRequest";
- }
-
- // Set headers
- for ( i in headers ) {
- xhr.setRequestHeader( i, headers[ i ] );
- }
-
- // Callback
- callback = function( type ) {
- return function() {
- if ( callback ) {
- callback = errorCallback = xhr.onload =
- xhr.onerror = xhr.onabort = xhr.ontimeout =
- xhr.onreadystatechange = null;
-
- if ( type === "abort" ) {
- xhr.abort();
- } else if ( type === "error" ) {
-
- // Support: IE <=9 only
- // On a manual native abort, IE9 throws
- // errors on any property access that is not readyState
- if ( typeof xhr.status !== "number" ) {
- complete( 0, "error" );
- } else {
- complete(
-
- // File: protocol always yields status 0; see #8605, #14207
- xhr.status,
- xhr.statusText
- );
- }
- } else {
- complete(
- xhrSuccessStatus[ xhr.status ] || xhr.status,
- xhr.statusText,
-
- // Support: IE <=9 only
- // IE9 has no XHR2 but throws on binary (trac-11426)
- // For XHR2 non-text, let the caller handle it (gh-2498)
- ( xhr.responseType || "text" ) !== "text" ||
- typeof xhr.responseText !== "string" ?
- { binary: xhr.response } :
- { text: xhr.responseText },
- xhr.getAllResponseHeaders()
- );
- }
- }
- };
- };
-
- // Listen to events
- xhr.onload = callback();
- errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
-
- // Support: IE 9 only
- // Use onreadystatechange to replace onabort
- // to handle uncaught aborts
- if ( xhr.onabort !== undefined ) {
- xhr.onabort = errorCallback;
- } else {
- xhr.onreadystatechange = function() {
-
- // Check readyState before timeout as it changes
- if ( xhr.readyState === 4 ) {
-
- // Allow onerror to be called first,
- // but that will not handle a native abort
- // Also, save errorCallback to a variable
- // as xhr.onerror cannot be accessed
- window.setTimeout( function() {
- if ( callback ) {
- errorCallback();
- }
- } );
- }
- };
- }
-
- // Create the abort callback
- callback = callback( "abort" );
-
- try {
-
- // Do send the request (this may raise an exception)
- xhr.send( options.hasContent && options.data || null );
- } catch ( e ) {
-
- // #14683: Only rethrow if this hasn't been notified as an error yet
- if ( callback ) {
- throw e;
- }
- }
- },
-
- abort: function() {
- if ( callback ) {
- callback();
- }
- }
- };
- }
-} );
-
-
-
-
-// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
-jQuery.ajaxPrefilter( function( s ) {
- if ( s.crossDomain ) {
- s.contents.script = false;
- }
-} );
-
-// Install script dataType
-jQuery.ajaxSetup( {
- accepts: {
- script: "text/javascript, application/javascript, " +
- "application/ecmascript, application/x-ecmascript"
- },
- contents: {
- script: /\b(?:java|ecma)script\b/
- },
- converters: {
- "text script": function( text ) {
- jQuery.globalEval( text );
- return text;
- }
- }
-} );
-
-// Handle cache's special case and crossDomain
-jQuery.ajaxPrefilter( "script", function( s ) {
- if ( s.cache === undefined ) {
- s.cache = false;
- }
- if ( s.crossDomain ) {
- s.type = "GET";
- }
-} );
-
-// Bind script tag hack transport
-jQuery.ajaxTransport( "script", function( s ) {
-
- // This transport only deals with cross domain or forced-by-attrs requests
- if ( s.crossDomain || s.scriptAttrs ) {
- var script, callback;
- return {
- send: function( _, complete ) {
- script = jQuery( "
-
+
@@ -44,7 +44,7 @@
-
+
@@ -131,8 +131,8 @@
- 
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -783,12 +792,12 @@ document.write(`
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/dev/metal_debugger.html b/docs/build/html/dev/metal_debugger.html
index 49a253fca..f61a45a8c 100644
--- a/docs/build/html/dev/metal_debugger.html
+++ b/docs/build/html/dev/metal_debugger.html
@@ -8,7 +8,7 @@
- Metal Debugger — MLX 0.10.0 documentation
+ Metal Debugger — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -130,8 +130,8 @@
-
-
+
+
@@ -239,6 +239,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -263,6 +264,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -276,6 +278,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -324,6 +327,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -332,6 +336,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -435,12 +440,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -803,10 +812,9 @@ work.
trace_file = "mlx_trace.gputrace"
-if not mx.metal.start_capture(trace_file):
- print("Make sure to run with MTL_CAPTURE_ENABLED=1 and "
- f"that the path {trace_file} does not already exist.")
- exit(1)
+# Make sure to run with MTL_CAPTURE_ENABLED=1 and
+# that the path trace_file does not already exist.
+mx.metal.start_capture(trace_file)
for _ in range(10):
mx.eval(mx.add(a, b))
diff --git a/docs/build/html/examples/linear_regression.html b/docs/build/html/examples/linear_regression.html
index 412df205f..a923b12f6 100644
--- a/docs/build/html/examples/linear_regression.html
+++ b/docs/build/html/examples/linear_regression.html
@@ -8,7 +8,7 @@
- Linear Regression — MLX 0.10.0 documentation
+ Linear Regression — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/examples/llama-inference.html b/docs/build/html/examples/llama-inference.html
index 51299482e..986c7c580 100644
--- a/docs/build/html/examples/llama-inference.html
+++ b/docs/build/html/examples/llama-inference.html
@@ -8,7 +8,7 @@
- LLM inference — MLX 0.10.0 documentation
+ LLM inference — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/examples/mlp.html b/docs/build/html/examples/mlp.html
index c96c1c38b..6f4475d14 100644
--- a/docs/build/html/examples/mlp.html
+++ b/docs/build/html/examples/mlp.html
@@ -8,7 +8,7 @@
- Multi-Layer Perceptron — MLX 0.10.0 documentation
+ Multi-Layer Perceptron — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html
index 70a378f6e..c28ff5356 100644
--- a/docs/build/html/genindex.html
+++ b/docs/build/html/genindex.html
@@ -7,7 +7,7 @@
- Index — MLX 0.10.0 documentation
+ Index — MLX 0.12.0 documentation
@@ -35,7 +35,7 @@
-
+
@@ -128,8 +128,8 @@
- 
-
+
+
@@ -237,6 +237,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -261,6 +262,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -274,6 +276,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -322,6 +325,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -330,6 +334,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -433,12 +438,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -872,7 +881,9 @@ document.write(`
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -782,7 +791,18 @@ document.write(`
-
class ALiBi
-
+Methods
+
+
+create_alibi_matrix(q_sequence_length, ...)
|
+ |
+
+create_alibi_slope(num_heads)
|
+ |
+
+
+
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html
index c1361498f..1a3b1c2a5 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html
@@ -8,7 +8,7 @@
- mlx.nn.AvgPool1d — MLX 0.10.0 documentation
+ mlx.nn.AvgPool1d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
- 
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -814,6 +823,11 @@ axis. Default: 0>>> pool(x)
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.html
index d500f037a..837b69be7 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.html
@@ -8,7 +8,7 @@
- mlx.nn.AvgPool2d — MLX 0.10.0 documentation
+ mlx.nn.AvgPool2d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -820,10 +829,15 @@ of the height and width axis. Default: >>> import mlx.core as mx
>>> import mlx.nn.layers as nn
>>> x = mx.random.normal(shape=(8, 32, 32, 4))
->>> pool = nn.MaxPool2d(kernel_size=2, stride=2)
+>>> pool = nn.AvgPool2d(kernel_size=2, stride=2)
>>> pool(x)
Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.BatchNorm.html b/docs/build/html/python/nn/_autosummary/mlx.nn.BatchNorm.html
index 09aa323d9..9cadf259c 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.BatchNorm.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.BatchNorm.html
@@ -8,7 +8,7 @@
- mlx.nn.BatchNorm — MLX 0.10.0 documentation
+ mlx.nn.BatchNorm — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -820,6 +829,14 @@ running mean and variance. Default: <
>>> output = bn(x)
+Methods
+
+
+unfreeze(*args, **kwargs)
|
+Wrap unfreeze to make sure that running_mean and var are always frozen parameters. |
+
+
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html
index f1641a608..66a0f81c3 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html
@@ -8,7 +8,7 @@
- mlx.nn.Conv1d — MLX 0.10.0 documentation
+ mlx.nn.Conv1d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -807,6 +816,11 @@ Default: True
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
index eb774279c..b453b8c03 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
@@ -8,7 +8,7 @@
- mlx.nn.Conv2d — MLX 0.10.0 documentation
+ mlx.nn.Conv2d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -808,6 +817,11 @@ output. Default: Tr
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout.html
index 86a245916..c38279808 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout.html
@@ -8,7 +8,7 @@
- mlx.nn.Dropout — MLX 0.10.0 documentation
+ mlx.nn.Dropout — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -792,6 +801,11 @@ expected value of a given element will remain the same.
p (float) – The probability to zero an element
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout2d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout2d.html
index b26a12c87..b3902f22f 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout2d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout2d.html
@@ -8,7 +8,7 @@
- mlx.nn.Dropout2d — MLX 0.10.0 documentation
+ mlx.nn.Dropout2d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -802,6 +811,11 @@ Efficient Object Localization Using Convolutional Networks. CVPR 2015.
p (float) – Probability of zeroing a channel during training.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout3d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout3d.html
index d5190f71c..b36bdf5c9 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout3d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Dropout3d.html
@@ -8,7 +8,7 @@
- mlx.nn.Dropout3d — MLX 0.10.0 documentation
+ mlx.nn.Dropout3d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -799,6 +808,11 @@ medical imaging or video processing.
p (float) – Probability of zeroing a channel during training.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html
index ac63523ce..2520a7a9d 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html
@@ -8,7 +8,7 @@
- mlx.nn.Embedding — MLX 0.10.0 documentation
+ mlx.nn.Embedding — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -794,6 +803,14 @@ Usually called the vocabulary size.
+Methods
+
+
+as_linear(x)
|
+Call the embedding layer as a linear layer. |
+
+
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.GELU.html b/docs/build/html/python/nn/_autosummary/mlx.nn.GELU.html
index f902cd481..27e5a6e4e 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.GELU.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.GELU.html
@@ -8,7 +8,7 @@
- mlx.nn.GELU — MLX 0.10.0 documentation
+ mlx.nn.GELU — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -789,7 +798,7 @@ document.write(`
where \(\Phi(x)\) is the Gaussian CDF.
However, if approx is set to ‘precise’ or ‘fast’ it applies
-\[\begin{split}\textrm{GELUApprox}(x) &= x * \sigma\left(1.60033 * x \left(1 + 0.0433603 * x^2\right)\right) \\
+\[\begin{split}\textrm{GELUApprox}(x) &= 0.5 * x * \left(1 + \text{Tanh}\left((\sqrt{2 / \pi} * \left(x + 0.044715 * x^3\right)\right)\right) \\
\textrm{GELUFast}(x) &= x * \sigma\left(1.773 * x\right)\end{split}\]
respectively.
See gelu(), gelu_approx() and gelu_fast_approx() for the
@@ -799,6 +808,11 @@ functional equivalents and information regarding error bounds.
approx ('none' | 'precise' | 'fast') – Which approximation to gelu to use if any.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.GRU.html b/docs/build/html/python/nn/_autosummary/mlx.nn.GRU.html
index d192c03c1..4c059f7b1 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.GRU.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.GRU.html
@@ -8,7 +8,7 @@
- mlx.nn.GRU — MLX 0.10.0 documentation
+ mlx.nn.GRU — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -810,6 +819,11 @@ time step of shape
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.GroupNorm.html b/docs/build/html/python/nn/_autosummary/mlx.nn.GroupNorm.html
index e6eff2de5..88bec49c2 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.GroupNorm.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.GroupNorm.html
@@ -8,7 +8,7 @@
- mlx.nn.GroupNorm — MLX 0.10.0 documentation
+ mlx.nn.GroupNorm — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -808,6 +817,11 @@ the same order/grouping as PyTorch.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html b/docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
index b0840f43c..44ab15fa7 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
@@ -8,7 +8,7 @@
- mlx.nn.InstanceNorm — MLX 0.10.0 documentation
+ mlx.nn.InstanceNorm — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -816,6 +825,11 @@ if
References
[1]: https://arxiv.org/abs/1607.08022
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.LSTM.html b/docs/build/html/python/nn/_autosummary/mlx.nn.LSTM.html
index 02daf3bc0..910515ee8 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.LSTM.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.LSTM.html
@@ -8,7 +8,7 @@
- mlx.nn.LSTM — MLX 0.10.0 documentation
+ mlx.nn.LSTM — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -813,6 +822,11 @@ each time step, both of shape
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.html b/docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.html
index e7a006032..58b9cf310 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.html
@@ -8,7 +8,7 @@
- mlx.nn.LayerNorm — MLX 0.10.0 documentation
+ mlx.nn.LayerNorm — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -803,6 +812,11 @@ just scaling.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html
index 5d8c04319..cf0d8b390 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html
@@ -8,7 +8,7 @@
- mlx.nn.Linear — MLX 0.10.0 documentation
+ mlx.nn.Linear — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -801,6 +810,11 @@ not use a bias. Default is
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool1d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool1d.html
index 1f62c905e..1e61e4390 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool1d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool1d.html
@@ -8,7 +8,7 @@
- mlx.nn.MaxPool1d — MLX 0.10.0 documentation
+ mlx.nn.MaxPool1d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -814,6 +823,11 @@ both sides of the spatial axis. Default: >>> pool(x)
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool2d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool2d.html
index 29caf0e91..0e77bcd0e 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool2d.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool2d.html
@@ -8,7 +8,7 @@
- mlx.nn.MaxPool2d — MLX 0.10.0 documentation
+ mlx.nn.MaxPool2d — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -824,6 +833,11 @@ of the height and width axis. Default: >>> pool(x)
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Mish.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Mish.html
index 1737fbddb..9c34fcb9f 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Mish.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Mish.html
@@ -8,7 +8,7 @@
- mlx.nn.Mish — MLX 0.10.0 documentation
+ mlx.nn.Mish — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -787,6 +796,11 @@ document.write(`
Reference: https://arxiv.org/abs/1908.08681
\[\text{Mish}(x) = x * \text{Tanh}(\text{Softplus}(x))\]
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply.html
index 555caaf8a..f4c5b4a94 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.apply — MLX 0.10.0 documentation
+ mlx.nn.Module.apply — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply_to_modules.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply_to_modules.html
index f939712e6..7b75dfd83 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply_to_modules.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply_to_modules.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.apply_to_modules — MLX 0.10.0 documentation
+ mlx.nn.Module.apply_to_modules — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.children.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.children.html
index 4b9478a40..1d4c1ca57 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.children.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.children.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.children — MLX 0.10.0 documentation
+ mlx.nn.Module.children — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.eval.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.eval.html
index 86062980f..238c05a78 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.eval.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.eval.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.eval — MLX 0.10.0 documentation
+ mlx.nn.Module.eval — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html
index 13d8d00a4..be5399a38 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.filter_and_map — MLX 0.10.0 documentation
+ mlx.nn.Module.filter_and_map — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html
index d142a1045..af360a520 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.freeze — MLX 0.10.0 documentation
+ mlx.nn.Module.freeze — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html
index bb4f48dca..a36109ac1 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.leaf_modules — MLX 0.10.0 documentation
+ mlx.nn.Module.leaf_modules — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.load_weights.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.load_weights.html
index dc4b0acf2..9cfdf8f06 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.load_weights.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.load_weights.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.load_weights — MLX 0.10.0 documentation
+ mlx.nn.Module.load_weights — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.modules.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.modules.html
index caaaf5623..f0b41f54d 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.modules.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.modules.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.modules — MLX 0.10.0 documentation
+ mlx.nn.Module.modules — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.named_modules.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.named_modules.html
index 28d8a7b4b..019439c07 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.named_modules.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.named_modules.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.named_modules — MLX 0.10.0 documentation
+ mlx.nn.Module.named_modules — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.parameters.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.parameters.html
index de87aa721..37336d861 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.parameters.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.parameters.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.parameters — MLX 0.10.0 documentation
+ mlx.nn.Module.parameters — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.save_weights.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.save_weights.html
index a5f4609a6..e275e35d5 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.save_weights.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.save_weights.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.save_weights — MLX 0.10.0 documentation
+ mlx.nn.Module.save_weights — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.set_dtype.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.set_dtype.html
index f614b9839..3abedf928 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.set_dtype.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.set_dtype.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.set_dtype — MLX 0.10.0 documentation
+ mlx.nn.Module.set_dtype — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.state.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.state.html
index 0190b9bc6..f8072ccc0 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.state.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.state.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.state — MLX 0.10.0 documentation
+ mlx.nn.Module.state — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.train.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.train.html
index bac16431a..f49748fe1 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.train.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.train.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.train — MLX 0.10.0 documentation
+ mlx.nn.Module.train — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html
index bf19b196c..1d07ea0fb 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.trainable_parameters — MLX 0.10.0 documentation
+ mlx.nn.Module.trainable_parameters — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.training.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.training.html
index 6413e6807..d98773ef1 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.training.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.training.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.training — MLX 0.10.0 documentation
+ mlx.nn.Module.training — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html
index 7f1820d8a..4ec69d6dd 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.unfreeze — MLX 0.10.0 documentation
+ mlx.nn.Module.unfreeze — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update.html
index 206e287e8..0190cf451 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.update — MLX 0.10.0 documentation
+ mlx.nn.Module.update — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.html
index 6a659b12d..f0ec8a07b 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.html
@@ -8,7 +8,7 @@
- mlx.nn.Module.update_modules — MLX 0.10.0 documentation
+ mlx.nn.Module.update_modules — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html b/docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html
index 89acb4fce..1f8e257eb 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html
@@ -8,7 +8,7 @@
- mlx.nn.MultiHeadAttention — MLX 0.10.0 documentation
+ mlx.nn.MultiHeadAttention — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -813,6 +822,14 @@ Default: False
+Methods
+
+
+create_additive_causal_mask(N[, dtype])
|
+ |
+
+
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html b/docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html
index 9d2c20f06..3d5af4454 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html
@@ -8,7 +8,7 @@
- mlx.nn.PReLU — MLX 0.10.0 documentation
+ mlx.nn.PReLU — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -44,7 +44,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -797,6 +806,11 @@ is an array.
+Methods
+
@@ -822,11 +836,11 @@ is an array.
next
- mlx.nn.QuantizedLinear
+ mlx.nn.QuantizedEmbedding
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedEmbedding.html b/docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedEmbedding.html
new file mode 100644
index 000000000..548960716
--- /dev/null
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedEmbedding.html
@@ -0,0 +1,925 @@
+
+
+
+
+
+
+
+
+
+
+ mlx.nn.QuantizedEmbedding — MLX 0.12.0 documentation
+
+
+
+
+
+
+
+
+
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+
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+
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+
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+
+
+
+ mlx.nn.QuantizedEmbedding
+
+
+
+
+
+
+
+
+
+
+mlx.nn.QuantizedEmbedding
+
+-
+class QuantizedEmbedding(num_embeddings: int, dims: int, group_size: int = 64, bits: int = 4)
+The same as Embedding but with a quantized weight matrix.
+QuantizedEmbedding also provides a from_embedding()
+classmethod to convert embedding layers to QuantizedEmbedding
+layers.
+
+- Parameters:
+
+num_embeddings (int) – How many possible discrete tokens can we embed.
+Usually called the vocabulary size. dims (int) – The dimensionality of the embeddings. group_size (int, optional) – The group size to use for the quantized
+weight. See quantize(). Default: 64. bits (int, optional) – The bit width to use for the quantized weight.
+See quantize(). Default: 4.
+
+Methods
+
+
+as_linear(x)
|
+Call the quantized embedding layer as a quantized linear layer. |
+
+from_embedding(embedding_layer[, ...])
|
+Create a QuantizedEmbedding layer from an Embedding layer. |
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
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+
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+
+
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -786,28 +795,33 @@ document.write(`
It is the quantized equivalent of mlx.nn.Linear. For now its
parameters are frozen and will not be included in any gradient computation
but this will probably change in the future.
-QuantizedLinear also provides two useful classmethods to convert linear
-layers to QuantizedLinear layers.
-
-from_linear() returns a QuantizedLinear layer that applies the same
-linear transformation up to the quantization error.
quantize_module() swaps all the linear layers of the passed module
-with QuantizedLinear ones.
+QuantizedLinear also provides a classmethod from_linear() to
+convert linear layers to QuantizedLinear layers.
- Parameters:
-input_dims (int) – The dimensionality of the input features output_dims (int) – The dimensionality of the output features input_dims (int) – The dimensionality of the input features. output_dims (int) – The dimensionality of the output features. bias (bool, optional) – If set to False then the layer will not use
-a bias. (default: True). True.
group_size (int, optional) – The group size to use for the quantized
-weight. See quantize(). (default: 64)
+weight. See quantize(). Default: 64.
bits (int, optional) – The bit width to use for the quantized weight.
-See quantize(). (default: 4)
+See quantize(). Default: 4.
+Methods
+
+
+from_linear(linear_layer[, group_size, bits])
|
+Create a QuantizedLinear layer from a Linear layer. |
+
+unfreeze(*args, **kwargs)
|
+Wrap unfreeze so that we unfreeze any layers we might contain but our parameters will remain frozen. |
+
+
+
@@ -824,12 +838,12 @@ See
previous
- mlx.nn.PReLU
+ mlx.nn.QuantizedEmbedding
- mlx.nn.RMSNorm — MLX 0.10.0 documentation
+ mlx.nn.RMSNorm — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -799,6 +808,11 @@ document.write(`
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.RNN.html b/docs/build/html/python/nn/_autosummary/mlx.nn.RNN.html
index eb98a9423..cf8b2da34 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.RNN.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.RNN.html
@@ -8,7 +8,7 @@
- mlx.nn.RNN — MLX 0.10.0 documentation
+ mlx.nn.RNN — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -808,6 +817,11 @@ then func:tanh is used. Default: Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html b/docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html
index 8a60f28a7..cd4ccff83 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html
@@ -8,7 +8,7 @@
- mlx.nn.ReLU — MLX 0.10.0 documentation
+ mlx.nn.ReLU — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -787,6 +796,11 @@ document.write(`
See relu() for the functional equivalent.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.RoPE.html b/docs/build/html/python/nn/_autosummary/mlx.nn.RoPE.html
index f77183d5c..8deea1a86 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.RoPE.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.RoPE.html
@@ -8,7 +8,7 @@
- mlx.nn.RoPE — MLX 0.10.0 documentation
+ mlx.nn.RoPE — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -801,6 +810,11 @@ each dimension in the positional encodings. Default: Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html b/docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html
index 448ba4760..0cc359ee9 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html
@@ -8,7 +8,7 @@
- mlx.nn.SELU — MLX 0.10.0 documentation
+ mlx.nn.SELU — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -784,6 +793,11 @@ document.write(`
class SELU
Applies the Scaled Exponential Linear Unit.
See selu() for the functional equivalent.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html
index f83359d1b..24c26c54a 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html
@@ -8,7 +8,7 @@
- mlx.nn.Sequential — MLX 0.10.0 documentation
+ mlx.nn.Sequential — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -791,6 +800,11 @@ our functions have learnable parameters they should be implemented as
modules (tuple of Callables) – The modules to call in order
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html b/docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html
index 9da44b69b..62984a6ea 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html
@@ -8,7 +8,7 @@
- mlx.nn.SiLU — MLX 0.10.0 documentation
+ mlx.nn.SiLU — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -784,6 +793,11 @@ document.write(`
class SiLU
Applies the Sigmoid Linear Unit. Also known as Swish.
See silu() for the functional equivalent.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html b/docs/build/html/python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html
index 2ff69b8f5..7925b5faf 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html
@@ -8,7 +8,7 @@
- mlx.nn.SinusoidalPositionalEncoding — MLX 0.10.0 documentation
+ mlx.nn.SinusoidalPositionalEncoding — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -802,6 +811,11 @@ instead of the reverse. Default:
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html
index 433b58911..02524d23a 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html
@@ -8,7 +8,7 @@
- mlx.nn.Softshrink — MLX 0.10.0 documentation
+ mlx.nn.Softshrink — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -790,6 +799,11 @@ document.write(`
lambd – the \(\lambda\) value for Softshrink. Default: 0.5
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Step.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Step.html
index d5ddc7390..12061457e 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Step.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Step.html
@@ -8,7 +8,7 @@
- mlx.nn.Step — MLX 0.10.0 documentation
+ mlx.nn.Step — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -796,6 +805,11 @@ to 1 if the input is greater than a specified threshold, and 0 otherwise.
threshold – The value to threshold at.
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Transformer.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Transformer.html
index 96295904c..8fc670eda 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Transformer.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Transformer.html
@@ -8,7 +8,7 @@
- mlx.nn.Transformer — MLX 0.10.0 documentation
+ mlx.nn.Transformer — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -820,6 +829,11 @@ Default: False
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Upsample.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Upsample.html
index 623321728..915e09eee 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.Upsample.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Upsample.html
@@ -8,7 +8,7 @@
- mlx.nn.Upsample — MLX 0.10.0 documentation
+ mlx.nn.Upsample — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -844,6 +853,11 @@ examples below for more details. Default: [3, 3.33333, 3.66667, 4]], dtype=float32)
+Methods
+
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.constant.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.constant.html
index 982cf049c..dc3984d40 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.constant.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.constant.html
@@ -8,7 +8,7 @@
- mlx.nn.init.constant — MLX 0.10.0 documentation
+ mlx.nn.init.constant — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_normal.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_normal.html
index 3735e84bd..1fe8bd360 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_normal.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_normal.html
@@ -8,7 +8,7 @@
- mlx.nn.init.glorot_normal — MLX 0.10.0 documentation
+ mlx.nn.init.glorot_normal — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_uniform.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_uniform.html
index 57b358289..2533f1bd3 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_uniform.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_uniform.html
@@ -8,7 +8,7 @@
- mlx.nn.init.glorot_uniform — MLX 0.10.0 documentation
+ mlx.nn.init.glorot_uniform — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html
index c0927f695..f48049e5d 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html
@@ -8,7 +8,7 @@
- mlx.nn.init.he_normal — MLX 0.10.0 documentation
+ mlx.nn.init.he_normal — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_uniform.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_uniform.html
index 1893bd20c..5a821051f 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_uniform.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.he_uniform.html
@@ -8,7 +8,7 @@
- mlx.nn.init.he_uniform — MLX 0.10.0 documentation
+ mlx.nn.init.he_uniform — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.identity.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.identity.html
index a7c0fc6d9..1d8b62c01 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.identity.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.identity.html
@@ -8,7 +8,7 @@
- mlx.nn.init.identity — MLX 0.10.0 documentation
+ mlx.nn.init.identity — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.normal.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.normal.html
index 687144728..e1b838820 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.normal.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.normal.html
@@ -8,7 +8,7 @@
- mlx.nn.init.normal — MLX 0.10.0 documentation
+ mlx.nn.init.normal — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.init.uniform.html b/docs/build/html/python/nn/_autosummary/mlx.nn.init.uniform.html
index 6af5e8fc0..95a162251 100644
--- a/docs/build/html/python/nn/_autosummary/mlx.nn.init.uniform.html
+++ b/docs/build/html/python/nn/_autosummary/mlx.nn.init.uniform.html
@@ -8,7 +8,7 @@
- mlx.nn.init.uniform — MLX 0.10.0 documentation
+ mlx.nn.init.uniform — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.elu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.elu.html
index bd5ad21f6..fc33332de 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.elu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.elu.html
@@ -8,7 +8,7 @@
- mlx.nn.elu — MLX 0.10.0 documentation
+ mlx.nn.elu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.elu
-
+
-
-elu(x, alpha=1.0)
+class elu(x, alpha=1.0)
Applies the Exponential Linear Unit.
Simply mx.where(x > 0, x, alpha * (mx.exp(x) - 1)).
@@ -832,7 +841,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu.html
index 4831de6fe..0e6d27e28 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu.html
@@ -8,7 +8,7 @@
- mlx.nn.gelu — MLX 0.10.0 documentation
+ mlx.nn.gelu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.gelu
-
+
-
-gelu(x) → array
+class gelu(x)
Applies the Gaussian Error Linear Units function.
\[\textrm{GELU}(x) = x * \Phi(x)\]
@@ -837,7 +846,7 @@ approximations.
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_approx.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_approx.html
index 12c18af20..3fceb215a 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_approx.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_approx.html
@@ -8,7 +8,7 @@
- mlx.nn.gelu_approx — MLX 0.10.0 documentation
+ mlx.nn.gelu_approx — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,16 +789,15 @@ document.write(`
mlx.nn.gelu_approx
-
+
-
-gelu_approx(x)
+class gelu_approx(x)
An approximation to Gaussian Error Linear Unit.
See gelu() for the exact computation.
This function approximates gelu with a maximum absolute error \(<
-0.0003\) in the range \([-6, 6]\) using the following
+0.0005\) in the range \([-6, 6]\) using the following
-\[x = x \sigma\left(1.60033 x \left(1 + 0.0433603 x^2\right)\right)\]
-where \(\sigma(\cdot)\) is the logistic sigmoid.
+\[x = 0.5 * x * \left(1 + \text{Tanh}\left((\sqrt{2 / \pi} * \left(x + 0.044715 * x^3\right)\right)\right)\]
@@ -838,7 +846,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_fast_approx.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_fast_approx.html
index c4ccd686c..392b3d641 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_fast_approx.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_fast_approx.html
@@ -8,7 +8,7 @@
- mlx.nn.gelu_fast_approx — MLX 0.10.0 documentation
+ mlx.nn.gelu_fast_approx — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.gelu_fast_approx
-
+
-
-gelu_fast_approx(x)
+class gelu_fast_approx(x)
A fast approximation to Gaussian Error Linear Unit.
See gelu() for the exact computation.
This function approximates gelu with a maximum absolute error \(<
@@ -841,7 +850,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.glu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.glu.html
index 8771de385..e49663ee7 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.glu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.glu.html
@@ -8,7 +8,7 @@
- mlx.nn.glu — MLX 0.10.0 documentation
+ mlx.nn.glu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.glu
-
+
-
-glu(x: array, axis: int = -1) → array
+class glu(x: array, axis: int = -1)
Applies the gated linear unit function.
This function splits the axis dimension of the input into two halves
(\(a\) and \(b\)) and applies \(a * \sigma(b)\).
@@ -841,7 +850,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.hardswish.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.hardswish.html
index 963fcf3e4..de757ce0e 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.hardswish.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.hardswish.html
@@ -8,7 +8,7 @@
- mlx.nn.hardswish — MLX 0.10.0 documentation
+ mlx.nn.hardswish — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.hardswish
-
+
-
-hardswish(x)
+class hardswish(x)
Applies the hardswish function, element-wise.
\[\text{Hardswish}(x) = x * \min(\max(x + 3, 0), 6) / 6\]
@@ -834,7 +843,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.leaky_relu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.leaky_relu.html
index 6c42daa6a..672ddb30e 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.leaky_relu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.leaky_relu.html
@@ -8,7 +8,7 @@
- mlx.nn.leaky_relu — MLX 0.10.0 documentation
+ mlx.nn.leaky_relu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.leaky_relu
-
+
-
-leaky_relu(x, negative_slope=0.01)
+class leaky_relu(x, negative_slope=0.01)
Applies the Leaky Rectified Linear Unit.
Simply mx.maximum(negative_slope * x, x).
@@ -832,7 +841,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html
index 25daf75f7..3a1b39df0 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html
@@ -8,7 +8,7 @@
- mlx.nn.log_sigmoid — MLX 0.10.0 documentation
+ mlx.nn.log_sigmoid — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.log_sigmoid
-
+
-
-log_sigmoid(x)
+class log_sigmoid(x)
Applies the Log Sigmoid function.
Applies \(\log(\sigma(x)) = -\log(1 + e^{-x})\) element wise.
@@ -833,7 +842,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_softmax.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_softmax.html
index 1b748bdcf..219b2427f 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_softmax.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_softmax.html
@@ -8,7 +8,7 @@
- mlx.nn.log_softmax — MLX 0.10.0 documentation
+ mlx.nn.log_softmax — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.log_softmax
-
+
-
-log_softmax(x, axis=-1)
+class log_softmax(x, axis=-1)
Applies the Log Softmax function.
Applies \(x + \log \sum_i e^{x_i}\) element wise.
@@ -833,7 +842,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.binary_cross_entropy.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.binary_cross_entropy.html
index 75d434db0..ff98e136f 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.binary_cross_entropy.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.binary_cross_entropy.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.binary_cross_entropy — MLX 0.10.0 documentation
+ mlx.nn.losses.binary_cross_entropy — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.losses.binary_cross_entropy
-
+
-
-binary_cross_entropy(inputs: array, targets: array, weights: array | None = None, with_logits: bool = True, reduction: Literal['none', 'mean', 'sum'] = 'mean') → array
+class binary_cross_entropy(inputs: array, targets: array, weights: array | None = None, with_logits: bool = True, reduction: Literal['none', 'mean', 'sum'] = 'mean')
Computes the binary cross entropy loss.
- Parameters:
@@ -869,7 +878,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html
index 3715855e0..71233a2dc 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.cosine_similarity_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.cosine_similarity_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.cosine_similarity_loss
-
+
-
-cosine_similarity_loss(x1: array, x2: array, axis: int = 1, eps: float = 1e-08, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class cosine_similarity_loss(x1: array, x2: array, axis: int = 1, eps: float = 1e-08, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the cosine similarity between the two inputs.
The cosine similarity loss is given by
@@ -854,7 +863,7 @@ numerical stability. Default:
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.losses.cross_entropy
-
+
-
-cross_entropy(logits: array, targets: array, weights: array | None = None, axis: int = -1, label_smoothing: float = 0.0, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class cross_entropy(logits: array, targets: array, weights: array | None = None, axis: int = -1, label_smoothing: float = 0.0, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the cross entropy loss.
- Parameters:
@@ -872,7 +881,7 @@ the logits
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.gaussian_nll_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.gaussian_nll_loss.html
index 915adee17..d1a31fdc7 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.gaussian_nll_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.gaussian_nll_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.gaussian_nll_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.gaussian_nll_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.gaussian_nll_loss
-
+
-
-gaussian_nll_loss(inputs: array, targets: array, vars: array, full: bool = False, eps: float = 1e-06, reduction: Literal['none', 'mean', 'sum'] = 'mean') → array
+class gaussian_nll_loss(inputs: array, targets: array, vars: array, full: bool = False, eps: float = 1e-06, reduction: Literal['none', 'mean', 'sum'] = 'mean')
Computes the negative log likelihood loss for a Gaussian distribution.
The loss is given by:
@@ -860,7 +869,7 @@ Default: 1e-6
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.hinge_loss
-
+
-
-hinge_loss(inputs: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class hinge_loss(inputs: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the hinge loss between inputs and targets.
\[\text{hinge}(y, y_{\text{pred}}) = \max(0, 1 - y \cdot y_{\text{pred}})\]
@@ -850,7 +859,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.huber_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.huber_loss.html
index 65d0280c0..fc533d8c2 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.huber_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.huber_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.huber_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.huber_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.huber_loss
-
+
-
-huber_loss(inputs: array, targets: array, delta: float = 1.0, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class huber_loss(inputs: array, targets: array, delta: float = 1.0, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the Huber loss between inputs and targets.
\[\begin{split}l_{\delta}(a) =
@@ -856,7 +865,7 @@ Default: 1.0
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.kl_div_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.kl_div_loss.html
index d41e4c1d3..c821cf03b 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.kl_div_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.kl_div_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.kl_div_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.kl_div_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.losses.kl_div_loss
-
+
-
-kl_div_loss(inputs: array, targets: array, axis: int = -1, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class kl_div_loss(inputs: array, targets: array, axis: int = -1, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the Kullback-Leibler divergence loss.
Computes the following when reduction == 'none':
mx.exp(targets) * (targets - inputs).sum(axis)
@@ -852,7 +861,7 @@ document.write(`
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.losses.l1_loss
-
+
-
-l1_loss(predictions: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'mean') → array
+class l1_loss(predictions: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'mean')
Computes the L1 loss.
- Parameters:
@@ -847,7 +856,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss.html
index 18496700d..237c2eac6 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.log_cosh_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.log_cosh_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.log_cosh_loss
-
+
-
-log_cosh_loss(inputs: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class log_cosh_loss(inputs: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the log cosh loss between inputs and targets.
Logcosh acts like L2 loss for small errors, ensuring stable gradients,
and like the L1 loss for large errors, reducing sensitivity to outliers. This
@@ -855,7 +864,7 @@ dual behavior offers a balanced, robust approach for regression tasks.
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html
index 3baf5d022..523d9a4d8 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.margin_ranking_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.margin_ranking_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.margin_ranking_loss
-
+
-
-margin_ranking_loss(inputs1: array, inputs2: array, targets: array, margin: float = 0.0, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class margin_ranking_loss(inputs1: array, inputs2: array, targets: array, margin: float = 0.0, reduction: Literal['none', 'mean', 'sum'] = 'none')
Calculate the margin ranking loss that loss given inputs \(x_1\), \(x_2\) and a label
\(y\) (containing 1 or -1).
The loss is given by:
@@ -869,7 +878,7 @@ Default: 0.0
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.mse_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.mse_loss.html
index f528abcc5..0af00eb11 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.mse_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.mse_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.mse_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.mse_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.losses.mse_loss
-
+
-
-mse_loss(predictions: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'mean') → array
+class mse_loss(predictions: array, targets: array, reduction: Literal['none', 'mean', 'sum'] = 'mean')
Computes the mean squared error loss.
- Parameters:
@@ -847,7 +856,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html
index 04e6697b4..727f5e745 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.nll_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.nll_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.losses.nll_loss
-
+
-
-nll_loss(inputs: array, targets: array, axis: int = -1, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class nll_loss(inputs: array, targets: array, axis: int = -1, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the negative log likelihood loss.
- Parameters:
@@ -848,7 +857,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.html
index 6e2ac4d89..05fa04ab9 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.smooth_l1_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.smooth_l1_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.smooth_l1_loss
-
+
-
-smooth_l1_loss(predictions: array, targets: array, beta: float = 1.0, reduction: Literal['none', 'mean', 'sum'] = 'mean') → array
+class smooth_l1_loss(predictions: array, targets: array, beta: float = 1.0, reduction: Literal['none', 'mean', 'sum'] = 'mean')
Computes the smooth L1 loss.
The smooth L1 loss is a variant of the L1 loss which replaces the absolute
difference with a squared difference when the absolute difference is less
@@ -859,7 +868,7 @@ from the squared to the absolute difference. Default:
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.html
index 3083abd71..86d0f54fd 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.html
@@ -8,7 +8,7 @@
- mlx.nn.losses.triplet_loss — MLX 0.10.0 documentation
+ mlx.nn.losses.triplet_loss — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.losses.triplet_loss
-
+
-
-triplet_loss(anchors: array, positives: array, negatives: array, axis: int = -1, p: int = 2, margin: float = 1.0, eps: float = 1e-06, reduction: Literal['none', 'mean', 'sum'] = 'none') → array
+class triplet_loss(anchors: array, positives: array, negatives: array, axis: int = -1, p: int = 2, margin: float = 1.0, eps: float = 1e-06, reduction: Literal['none', 'mean', 'sum'] = 'none')
Computes the triplet loss for a set of anchor, positive, and negative samples.
Margin is represented with alpha in the math section.
@@ -860,7 +869,7 @@ Margin is represented with alpha in the math section.
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.mish.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.mish.html
index 3d3dec6f6..287f6d264 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.mish.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.mish.html
@@ -8,7 +8,7 @@
- mlx.nn.mish — MLX 0.10.0 documentation
+ mlx.nn.mish — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.mish
-
+
-
-mish(x: array) → array
+class mish(x: array)
Applies the Mish function, element-wise.
Mish: A Self Regularized Non-Monotonic Neural Activation Function.
Reference: https://arxiv.org/abs/1908.08681
@@ -836,7 +845,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.prelu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.prelu.html
index 79b5e4502..94eca35c6 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.prelu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.prelu.html
@@ -8,7 +8,7 @@
- mlx.nn.prelu — MLX 0.10.0 documentation
+ mlx.nn.prelu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.prelu
-
+
-
-prelu(x: array, alpha: array) → array
+class prelu(x: array, alpha: array)
Applies the element-wise parametric ReLU.
\[\text{PReLU}(x) = \max(0,x) + a * \min(0,x)\]
@@ -835,7 +844,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu.html
index 19e475a72..d13c60a41 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu.html
@@ -8,7 +8,7 @@
- mlx.nn.relu — MLX 0.10.0 documentation
+ mlx.nn.relu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.relu
-
+
-
-relu(x)
+class relu(x)
Applies the Rectified Linear Unit.
Simply mx.maximum(x, 0).
@@ -832,7 +841,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu6.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu6.html
index bd62f11bc..e566481b9 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu6.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.relu6.html
@@ -8,7 +8,7 @@
- mlx.nn.relu6 — MLX 0.10.0 documentation
+ mlx.nn.relu6 — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.relu6
-
+
-
-relu6(x)
+class relu6(x)
Applies the Rectified Linear Unit 6.
Applies \(\min(\max(x, 0), 6)\) element wise.
@@ -833,7 +842,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.selu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.selu.html
index a92815c0c..1918bcb9c 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.selu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.selu.html
@@ -8,7 +8,7 @@
- mlx.nn.selu — MLX 0.10.0 documentation
+ mlx.nn.selu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.selu
-
+
-
-selu(x)
+class selu(x)
Applies the Scaled Exponential Linear Unit.
\[\begin{split}\text{selu}(x) = \begin{cases}
@@ -839,7 +848,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.sigmoid.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.sigmoid.html
index e613a1b5f..abbf030f2 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.sigmoid.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.sigmoid.html
@@ -8,7 +8,7 @@
- mlx.nn.sigmoid — MLX 0.10.0 documentation
+ mlx.nn.sigmoid — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.sigmoid
-
+
-
-sigmoid(x)
+class sigmoid(x)
Applies the sigmoid function.
\[\text{Sigmoid}(x) = \sigma(x) = \frac{1}{1 + \exp(-x)}\]
@@ -834,7 +843,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.silu.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.silu.html
index a95de605d..89dbaac02 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.silu.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.silu.html
@@ -8,7 +8,7 @@
- mlx.nn.silu — MLX 0.10.0 documentation
+ mlx.nn.silu — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.silu
-
+
-
-silu(x)
+class silu(x)
Applies the Sigmoid Linear Unit. Also known as Swish.
Applies \(x \sigma(x)\) element wise, where \(\sigma(\cdot)\) is
the logistic sigmoid.
@@ -834,7 +843,7 @@ the logistic sigmoid.
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softmax.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softmax.html
index 65dd5efb9..babf77e4e 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softmax.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softmax.html
@@ -8,7 +8,7 @@
- mlx.nn.softmax — MLX 0.10.0 documentation
+ mlx.nn.softmax — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.softmax
-
+
-
-softmax(x, axis=-1)
+class softmax(x, axis=-1)
Applies the Softmax function.
Applies \(\frac{e^{x_i}}{\sum_j e^{x_j}}\) element wise.
@@ -833,7 +842,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softplus.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softplus.html
index 5396d3494..75a786ef3 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softplus.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softplus.html
@@ -8,7 +8,7 @@
- mlx.nn.softplus — MLX 0.10.0 documentation
+ mlx.nn.softplus — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.softplus
-
+
-
-softplus(x)
+class softplus(x)
Applies the Softplus function.
Applies \(\log(1 + \exp(x))\) element wise.
@@ -833,7 +842,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softshrink.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softshrink.html
index 4a9183874..0b499c1e1 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softshrink.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.softshrink.html
@@ -8,7 +8,7 @@
- mlx.nn.softshrink — MLX 0.10.0 documentation
+ mlx.nn.softshrink — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.softshrink
-
+
-
-softshrink(x, lambd: float = 0.5)
+class softshrink(x, lambd: float = 0.5)
Applies the Softshrink activation function.
\[\begin{split}\text{softshrink}(x) = \begin{cases}
@@ -838,7 +847,7 @@ x + \lambda & \text{if } x < -\lambda \\
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.step.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.step.html
index f4551ab9f..ee29c0fd1 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.step.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.step.html
@@ -8,7 +8,7 @@
- mlx.nn.step — MLX 0.10.0 documentation
+ mlx.nn.step — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -132,8 +132,8 @@
-
-
+
+
@@ -241,6 +241,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -265,6 +266,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -278,6 +280,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -326,6 +329,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -334,6 +338,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -437,12 +442,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -766,7 +775,7 @@ document.write(`
@@ -780,9 +789,9 @@ document.write(`
mlx.nn.step
-
+
-
-step(x: array, threshold: float = 0.0)
+class step(x: array, threshold: float = 0.0)
Applies the Step Activation Function.
This function implements a binary step activation, where the output is set
to 1 if the input is greater than a specified threshold, and 0 otherwise.
@@ -844,7 +853,7 @@ to 1 if the input is greater than a specified threshold, and 0 otherwise.
diff --git a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.tanh.html b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.tanh.html
index c07d4a9da..ae2c6c017 100644
--- a/docs/build/html/python/nn/_autosummary_functions/mlx.nn.tanh.html
+++ b/docs/build/html/python/nn/_autosummary_functions/mlx.nn.tanh.html
@@ -8,7 +8,7 @@
- mlx.nn.tanh — MLX 0.10.0 documentation
+ mlx.nn.tanh — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
- mlx.core.new_stream
- mlx.core.set_default_stream
- mlx.core.stream
+- mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -765,7 +774,7 @@ document.write(`
@@ -779,9 +788,9 @@ document.write(`
mlx.nn.tanh
-
+
-
-tanh(x)
+class tanh(x)
Applies the hyperbolic tangent function.
Simply mx.tanh(x).
@@ -832,7 +841,7 @@ document.write(`
diff --git a/docs/build/html/python/nn/functions.html b/docs/build/html/python/nn/functions.html
index 9d67d5dcc..e655f6cd6 100644
--- a/docs/build/html/python/nn/functions.html
+++ b/docs/build/html/python/nn/functions.html
@@ -8,7 +8,7 @@
- Functions — MLX 0.10.0 documentation
+ Functions — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
- 
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/init.html b/docs/build/html/python/nn/init.html
index 45f7f70a7..843c9f25b 100644
--- a/docs/build/html/python/nn/init.html
+++ b/docs/build/html/python/nn/init.html
@@ -8,7 +8,7 @@
- Initializers — MLX 0.10.0 documentation
+ Initializers — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
diff --git a/docs/build/html/python/nn/layers.html b/docs/build/html/python/nn/layers.html
index 72989f72d..ebb3233d7 100644
--- a/docs/build/html/python/nn/layers.html
+++ b/docs/build/html/python/nn/layers.html
@@ -8,7 +8,7 @@
- Layers — MLX 0.10.0 documentation
+ Layers — MLX 0.12.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -131,8 +131,8 @@
-
-
+
+
@@ -240,6 +240,7 @@
mlx.core.new_stream
mlx.core.set_default_stream
mlx.core.stream
+mlx.core.synchronize
Operations
@@ -264,6 +265,7 @@
- mlx.core.atleast_2d
- mlx.core.atleast_3d
- mlx.core.broadcast_to
+- mlx.core.block_masked_mm
- mlx.core.ceil
- mlx.core.clip
- mlx.core.concatenate
@@ -277,6 +279,7 @@
- mlx.core.cummin
- mlx.core.cumprod
- mlx.core.cumsum
+- mlx.core.degrees
- mlx.core.dequantize
- mlx.core.diag
- mlx.core.diagonal
@@ -325,6 +328,7 @@
- mlx.core.moveaxis
- mlx.core.multiply
- mlx.core.negative
+- mlx.core.not_equal
- mlx.core.ones
- mlx.core.ones_like
- mlx.core.outer
@@ -333,6 +337,7 @@
- mlx.core.prod
- mlx.core.quantize
- mlx.core.quantized_matmul
+- mlx.core.radians
- mlx.core.reciprocal
- mlx.core.repeat
- mlx.core.reshape
@@ -436,12 +441,14 @@
- mlx.core.metal.get_cache_memory
- mlx.core.metal.set_memory_limit
- mlx.core.metal.set_cache_limit
+- mlx.core.metal.clear_cache
- mlx.core.metal.start_capture
- mlx.core.metal.stop_capture
Neural Networks
@@ -837,43 +846,46 @@ document.write(`
PReLU([num_parameters, init])
|
Applies the element-wise parametric ReLU. |
-QuantizedLinear(input_dims, output_dims[, ...])
|
+ QuantizedEmbedding(num_embeddings, dims[, ...])
|
+The same as Embedding but with a quantized weight matrix. |
+
+QuantizedLinear(input_dims, output_dims[, ...])
|
Applies an affine transformation to the input using a quantized weight matrix. |
-RMSNorm(dims[, eps])
|
+ RMSNorm(dims[, eps])
|
Applies Root Mean Square normalization [1] to the inputs. |
-ReLU()
|
+ ReLU()
|
Applies the Rectified Linear Unit. |
-RNN(input_size, hidden_size[, bias, ...])
|
+ RNN(input_size, hidden_size[, bias, ...])
|
An Elman recurrent layer. |
-RoPE(dims[, traditional, base, scale])
|
+ RoPE(dims[, traditional, base, scale])
|
Implements the rotary positional encoding. |
-SELU()
|
+ SELU()
|
Applies the Scaled Exponential Linear Unit. |
-Sequential(*modules)
|
+ Sequential(*modules)
|
A layer that calls the passed callables in order. |
-SiLU()
|
+ SiLU()
|
Applies the Sigmoid Linear Unit. |
-SinusoidalPositionalEncoding(dims[, ...])
|
+ SinusoidalPositionalEncoding(dims[, ...])
|
Implements sinusoidal positional encoding. |
-Softshrink([lambd])
|
+ Softshrink([lambd])
|
Applies the Softshrink function. |
-Step([threshold])
|
+ Step([threshold])
|
Applies the Step Activation Function. |
-Transformer(dims, num_heads, ...)
|
+ Transformer(dims, num_heads, ...)
|
Implements a standard Transformer model. |
-Upsample(scale_factor[, mode, align_corners])
|
+ Upsample(scale_factor[, mode, align_corners])
|
Upsample the input signal spatially. |
|