From e9e600eb2cf23f6db0ef7790abe05ecca6fe1ce0 Mon Sep 17 00:00:00 2001 From: Awni Hannun Date: Mon, 20 May 2024 09:40:17 -0700 Subject: [PATCH] docs update --- docs/build/html/.buildinfo | 2 +- docs/build/html/_sources/dev/extensions.rst | 16 +- docs/build/html/_sources/install.rst | 22 +- .../python/_autosummary/mlx.core.addmm.rst | 6 + .../_autosummary/mlx.core.as_strided.rst | 6 + .../_autosummary/mlx.core.linalg.cholesky.rst | 6 + .../_autosummary/mlx.core.linalg.inv.rst | 6 + .../_autosummary/mlx.core.linalg.svd.rst | 6 + .../python/_autosummary/mlx.core.power.rst | 6 + .../_autosummary/mlx.core.remainder.rst | 6 + docs/build/html/_sources/python/linalg.rst | 3 + .../python/nn/_autosummary/mlx.nn.Conv3d.rst | 16 + .../nn/_autosummary/mlx.nn.Embedding.rst | 1 + .../python/nn/_autosummary/mlx.nn.Linear.rst | 1 + docs/build/html/_sources/python/nn/layers.rst | 1 + docs/build/html/_sources/python/ops.rst | 5 + .../html/_static/documentation_options.js | 2 +- 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19 +- docs/build/html/usage/indexing.html | 19 +- docs/build/html/usage/lazy_evaluation.html | 19 +- docs/build/html/usage/numpy.html | 19 +- docs/build/html/usage/quick_start.html | 19 +- docs/build/html/usage/saving_and_loading.html | 19 +- docs/build/html/usage/unified_memory.html | 19 +- docs/build/html/usage/using_streams.html | 19 +- 528 files changed, 17198 insertions(+), 4162 deletions(-) create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.addmm.rst create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.as_strided.rst create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.linalg.cholesky.rst create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.linalg.inv.rst create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.linalg.svd.rst create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.power.rst create mode 100644 docs/build/html/_sources/python/_autosummary/mlx.core.remainder.rst create mode 100644 docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Conv3d.rst create mode 100644 docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m-members.html create mode 100644 docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.html create mode 100644 docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.png create mode 100644 docs/build/html/classmlx_1_1core_1_1_cholesky-members.html create mode 100644 docs/build/html/classmlx_1_1core_1_1_cholesky.html create mode 100644 docs/build/html/classmlx_1_1core_1_1_cholesky.png create mode 100644 docs/build/html/python/_autosummary/mlx.core.addmm.html create mode 100644 docs/build/html/python/_autosummary/mlx.core.as_strided.html create mode 100644 docs/build/html/python/_autosummary/mlx.core.linalg.cholesky.html create mode 100644 docs/build/html/python/_autosummary/mlx.core.linalg.inv.html create mode 100644 docs/build/html/python/_autosummary/mlx.core.linalg.svd.html create mode 100644 docs/build/html/python/_autosummary/mlx.core.power.html create mode 100644 docs/build/html/python/_autosummary/mlx.core.remainder.html create mode 100644 docs/build/html/python/nn/_autosummary/mlx.nn.Conv3d.html diff --git a/docs/build/html/.buildinfo b/docs/build/html/.buildinfo index 4cd5f8315..e0cff859d 100644 --- a/docs/build/html/.buildinfo +++ b/docs/build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 6d31d3d7850f7f8959377483b35af018 +config: c0e0bb3fe4816a1bf9a98909252329c4 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/build/html/_sources/dev/extensions.rst b/docs/build/html/_sources/dev/extensions.rst index acf41a773..9a2be90cd 100644 --- a/docs/build/html/_sources/dev/extensions.rst +++ b/docs/build/html/_sources/dev/extensions.rst @@ -1,5 +1,5 @@ -Developer Documentation -======================= +Custom Extensions in MLX +======================== You can extend MLX with custom operations on the CPU or GPU. This guide explains how to do that with a simple example. @@ -494,7 +494,7 @@ below. auto kernel = d.get_kernel(kname.str(), "mlx_ext"); // Prepare to encode kernel - auto compute_encoder = d.get_command_encoder(s.index); + auto& compute_encoder = d.get_command_encoder(s.index); compute_encoder->setComputePipelineState(kernel); // Kernel parameters are registered with buffer indices corresponding to @@ -503,11 +503,11 @@ below. size_t nelem = out.size(); // Encode input arrays to kernel - set_array_buffer(compute_encoder, x, 0); - set_array_buffer(compute_encoder, y, 1); + compute_encoder.set_input_array(x, 0); + compute_encoder.set_input_array(y, 1); // Encode output arrays to kernel - set_array_buffer(compute_encoder, out, 2); + compute_encoder.set_output_array(out, 2); // Encode alpha and beta compute_encoder->setBytes(&alpha_, sizeof(float), 3); @@ -531,7 +531,7 @@ below. // Launch the grid with the given number of threads divided among // the given threadgroups - compute_encoder->dispatchThreads(grid_dims, group_dims); + compute_encoder.dispatchThreads(grid_dims, group_dims); } We can now call the :meth:`axpby` operation on both the CPU and the GPU! @@ -825,7 +825,7 @@ Let's look at a simple script and its results: print(f"c shape: {c.shape}") print(f"c dtype: {c.dtype}") - print(f"c correctness: {mx.all(c == 6.0).item()}") + print(f"c correct: {mx.all(c == 6.0).item()}") Output: diff --git a/docs/build/html/_sources/install.rst b/docs/build/html/_sources/install.rst index 252b234e6..693385e2c 100644 --- a/docs/build/html/_sources/install.rst +++ b/docs/build/html/_sources/install.rst @@ -153,6 +153,8 @@ should point to the path to the built metal library. - OFF * - MLX_BUILD_METAL - ON + * - MLX_BUILD_CPU + - ON * - MLX_BUILD_PYTHON_BINDINGS - OFF * - MLX_METAL_DEBUG @@ -179,10 +181,28 @@ should point to the path to the built metal library. xcrun -sdk macosx --show-sdk-version +Binary Size Minimization +~~~~~~~~~~~~~~~~~~~~~~~~ + +To produce a smaller binary use the CMake flags `CMAKE_BUILD_TYPE=MinSizeRel` +and `BUILD_SHARED_LIBS=ON`. + +The MLX CMake build has several additional options to make smaller binaries. +For example, if you don't need the CPU backend or support for safetensors and +GGUF, you can do: + +.. code-block:: shell + + cmake .. + -DCMAKE_BUILD_TYPE=MinSizeRel \ + -DBUILD_SHARED_LIBS=ON \ + -DMLX_BUILD_CPU=ON \ + -DMLX_BUILD_SAFETENSORS=OFF \ + -DMLX_BUILD_GGUF=OFF + Troubleshooting ^^^^^^^^^^^^^^^ - Metal not found ~~~~~~~~~~~~~~~ diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.addmm.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.addmm.rst new file mode 100644 index 000000000..2f513993b --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.addmm.rst @@ -0,0 +1,6 @@ +mlx.core.addmm +============== + +.. currentmodule:: mlx.core + +.. autofunction:: addmm \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.as_strided.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.as_strided.rst new file mode 100644 index 000000000..5ed10ae88 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.as_strided.rst @@ -0,0 +1,6 @@ +mlx.core.as\_strided +==================== + +.. currentmodule:: mlx.core + +.. autofunction:: as_strided \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.cholesky.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.cholesky.rst new file mode 100644 index 000000000..3e2dfd367 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.cholesky.rst @@ -0,0 +1,6 @@ +mlx.core.linalg.cholesky +======================== + +.. currentmodule:: mlx.core.linalg + +.. autofunction:: cholesky \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.inv.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.inv.rst new file mode 100644 index 000000000..0e030237b --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.inv.rst @@ -0,0 +1,6 @@ +mlx.core.linalg.inv +=================== + +.. currentmodule:: mlx.core.linalg + +.. autofunction:: inv \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.svd.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.svd.rst new file mode 100644 index 000000000..4f0ddf4be --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.linalg.svd.rst @@ -0,0 +1,6 @@ +mlx.core.linalg.svd +=================== + +.. currentmodule:: mlx.core.linalg + +.. autofunction:: svd \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.power.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.power.rst new file mode 100644 index 000000000..1ef907bd8 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.power.rst @@ -0,0 +1,6 @@ +mlx.core.power +============== + +.. currentmodule:: mlx.core + +.. autofunction:: power \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.remainder.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.remainder.rst new file mode 100644 index 000000000..2b333363e --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.remainder.rst @@ -0,0 +1,6 @@ +mlx.core.remainder +================== + +.. currentmodule:: mlx.core + +.. autofunction:: remainder \ No newline at end of file diff --git a/docs/build/html/_sources/python/linalg.rst b/docs/build/html/_sources/python/linalg.rst index 0ac559f5e..3c34cb3f7 100644 --- a/docs/build/html/_sources/python/linalg.rst +++ b/docs/build/html/_sources/python/linalg.rst @@ -8,5 +8,8 @@ Linear Algebra .. autosummary:: :toctree: _autosummary + inv norm + cholesky qr + svd diff --git a/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Conv3d.rst b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Conv3d.rst new file mode 100644 index 000000000..5442dcdbf --- /dev/null +++ b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Conv3d.rst @@ -0,0 +1,16 @@ +mlx.nn.Conv3d +============= + +.. currentmodule:: mlx.nn + +.. autoclass:: Conv3d + + + + + .. rubric:: Methods + + .. autosummary:: + + + diff --git a/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Embedding.rst b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Embedding.rst index 598179428..9c433bfb5 100644 --- a/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Embedding.rst +++ b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Embedding.rst @@ -13,5 +13,6 @@ .. autosummary:: ~Embedding.as_linear + ~Embedding.to_quantized diff --git a/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Linear.rst b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Linear.rst index f19fc1994..70850e9d8 100644 --- a/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Linear.rst +++ b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.Linear.rst @@ -12,5 +12,6 @@ .. autosummary:: + ~Linear.to_quantized diff --git a/docs/build/html/_sources/python/nn/layers.rst b/docs/build/html/_sources/python/nn/layers.rst index 6fb624d54..cbbbb5c3b 100644 --- a/docs/build/html/_sources/python/nn/layers.rst +++ b/docs/build/html/_sources/python/nn/layers.rst @@ -15,6 +15,7 @@ Layers BatchNorm Conv1d Conv2d + Conv3d Dropout Dropout2d Dropout3d diff --git a/docs/build/html/_sources/python/ops.rst b/docs/build/html/_sources/python/ops.rst index 177332c49..c88885101 100644 --- a/docs/build/html/_sources/python/ops.rst +++ b/docs/build/html/_sources/python/ops.rst @@ -10,6 +10,7 @@ Operations abs add + addmm all allclose any @@ -26,6 +27,7 @@ Operations argpartition argsort array_equal + as_strided atleast_1d atleast_2d atleast_3d @@ -76,6 +78,7 @@ Operations isnan isneginf isposinf + issubdtype left_shift less less_equal @@ -106,11 +109,13 @@ Operations outer partition pad + power prod quantize quantized_matmul radians reciprocal + remainder repeat reshape right_shift diff --git a/docs/build/html/_static/documentation_options.js b/docs/build/html/_static/documentation_options.js index 607aaea4c..4b6f897c5 100644 --- a/docs/build/html/_static/documentation_options.js +++ b/docs/build/html/_static/documentation_options.js @@ -1,5 +1,5 @@ const DOCUMENTATION_OPTIONS = { - VERSION: '0.13.0', + VERSION: '0.13.1', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/docs/build/html/annotated.html b/docs/build/html/annotated.html index 220efdb5b..d2c356c14 100644 --- a/docs/build/html/annotated.html +++ b/docs/build/html/annotated.html @@ -192,91 +192,93 @@ $(function() {  CBitwiseBinary  CBlockMaskedMM  CBlockSparseMM - CBroadcast - CCeil - CCompiled - Ccomplex128_t - Ccomplex64_t - CConcatenate - CConjugate - CConvolution - CCopy - CCos - CCosh - CCustomVJP - CDepends - CDevice - CDivide - CDivMod - CDtype - CEqual - CErf - CErfInv - CEvent - CExp - CExpm1 - CFFT - CFloor - CFull - CGather - CGreater - CGreaterEqual - CInverse - CLess - CLessEqual - CLoad - CLog - CLog1p - CLogAddExp - CLogicalAnd - CLogicalNot - CLogicalOr - CMatmul - CMaximum - CMinimum - CMultiply - CNegative - CNodeNamer - CNotEqual - CNumberOfElements - CPad - CPartition - CPower - CPrimitive - CPrintFormatter - CQRF - CQuantizedMatmul - CRandomBits - CReduce - CReductionPlan - CRemainder - CReshape - CRound - CScan - CScatter - CSelect - CSigmoid - CSign - CSin - CSinh - CSlice - CSliceUpdate - CSoftmax - CSort - CSplit - CSqrt - CSquare - CStopGradient - CStream - CStreamContext - CSubtract - CSVD - CTan - CTanh - CTranspose - CTypeToDtype - CUnaryPrimitive - CUniform + CBlockSparseQMM + CBroadcast + CCeil + CCholesky + CCompiled + Ccomplex128_t + Ccomplex64_t + CConcatenate + CConjugate + CConvolution + CCopy + CCos + CCosh + CCustomVJP + CDepends + CDevice + CDivide + CDivMod + CDtype + CEqual + CErf + CErfInv + CEvent + CExp + CExpm1 + CFFT + CFloor + CFull + CGather + CGreater + CGreaterEqual + CInverse + CLess + CLessEqual + CLoad + CLog + CLog1p + CLogAddExp + CLogicalAnd + CLogicalNot + CLogicalOr + CMatmul + CMaximum + CMinimum + CMultiply + CNegative + CNodeNamer + CNotEqual + CNumberOfElements + CPad + CPartition + CPower + CPrimitive + CPrintFormatter + CQRF + CQuantizedMatmul + CRandomBits + CReduce + CReductionPlan + CRemainder + CReshape + CRound + CScan + CScatter + CSelect + CSigmoid + CSign + CSin + CSinh + CSlice + CSliceUpdate + CSoftmax + CSort + CSplit + CSqrt + CSquare + CStopGradient + CStream + CStreamContext + CSubtract + CSVD + CTan + CTanh + CTranspose + CTypeToDtype + CUnaryPrimitive + CUniform  ►Nsteel  CAccumHelper  ►CBlockLoader diff --git a/docs/build/html/backend_2metal_2kernels_2bf16_8h_source.html b/docs/build/html/backend_2metal_2kernels_2bf16_8h_source.html index 83ebc44f4..a266656b8 100644 --- a/docs/build/html/backend_2metal_2kernels_2bf16_8h_source.html +++ b/docs/build/html/backend_2metal_2kernels_2bf16_8h_source.html @@ -91,7 +91,7 @@ $(function() { codefold.init(0); });
6
7using namespace metal;
8
-
9#if defined(__HAVE_BFLOAT__)
+
9#if defined METAL_3_1 || (__METAL_VERSION__ >= 310)
10
11typedef bfloat bfloat16_t;
12
@@ -445,7 +445,7 @@ $(function() { codefold.init(0); });
312
313#pragma METAL internals : disable
314
-
315#endif // defined(__HAVE_BFLOAT__)
+
315#endif
316
317#include "mlx/backend/metal/kernels/bf16_math.h"
float_to_bfloat_bits
constexpr METAL_FUNC uint16_t float_to_bfloat_bits(float x)
Definition bf16.h:19
diff --git a/docs/build/html/backend_2metal_2kernels_2steel_2gemm_2transforms_8h_source.html b/docs/build/html/backend_2metal_2kernels_2steel_2gemm_2transforms_8h_source.html index f9ed6a5f8..13d88e7f2 100644 --- a/docs/build/html/backend_2metal_2kernels_2steel_2gemm_2transforms_8h_source.html +++ b/docs/build/html/backend_2metal_2kernels_2steel_2gemm_2transforms_8h_source.html @@ -117,69 +117,83 @@ $(function() { codefold.init(0); });
27 TransformAdd(const float, const float) {}
28
-
29 static METAL_FUNC OutT apply(InT x, OutT c) {
-
30 return static_cast<OutT>(x) + c;
+
29 static METAL_FUNC OutT apply(InT x) {
+
30 return static_cast<OutT>(x);
31 }
-
32};
+
32
+
+
33 static METAL_FUNC OutT apply(InT x, OutT c) {
+
34 return static_cast<OutT>(x) + c;
+
35 }
-
33
-
34template <typename OutT, typename InT>
-
-
35struct TransformAxpby {
-
36 const float alpha;
-
37 const float beta;
-
38
-
-
39 TransformAxpby(const float alpha_, const float beta_)
-
40 : alpha(alpha_), beta(beta_) {}
+
36};
-
41
-
-
42 METAL_FUNC OutT apply(InT x, OutT c) const {
-
43 return static_cast<OutT>(x * alpha + (beta * c));
-
44 }
+
37
+
38template <typename OutT, typename InT>
+
+
39struct TransformAxpby {
+
40 const float alpha;
+
41 const float beta;
+
42
+
+
43 TransformAxpby(const float alpha_, const float beta_)
+
44 : alpha(alpha_), beta(beta_) {}
-
45};
+
45
+
+
46 static METAL_FUNC OutT apply(InT x) {
+
47 return static_cast<OutT>(x);
+
48 }
-
46
-
47template <typename T>
-
-
48struct AccumHelper {
-
49 typedef float accum_type;
-
50};
+
49
+
+
50 METAL_FUNC OutT apply(InT x, OutT c) const {
+
51 return static_cast<OutT>(x * alpha + (beta * c));
+
52 }
-
51
-
-
52struct BlockSwizzle {
-
53 static METAL_FUNC int2
-
-
54 swizzle(uint3 tid [[threadgroup_position_in_grid]], const int swizzle_log) {
-
55 const int tid_x = (tid.x) >> swizzle_log;
-
56 const int tid_y =
-
57 ((tid.y) << swizzle_log) + ((tid.x) & ((1 << swizzle_log) - 1));
-
58 return int2(tid_x, tid_y);
-
59 }
+
53};
-
60};
+
54
+
55template <typename T>
+
+
56struct AccumHelper {
+
57 typedef float accum_type;
+
58};
-
61
-
62} // namespace steel
-
63} // namespace mlx
+
59
+
+
60struct BlockSwizzle {
+
61 static METAL_FUNC int2
+
+
62 swizzle(uint3 tid [[threadgroup_position_in_grid]], const int swizzle_log) {
+
63 const int tid_x = (tid.x) >> swizzle_log;
+
64 const int tid_y =
+
65 ((tid.y) << swizzle_log) + ((tid.x) & ((1 << swizzle_log) - 1));
+
66 return int2(tid_x, tid_y);
+
67 }
+
+
68};
+
+
69
+
70} // namespace steel
+
71} // namespace mlx
mlx
Definition allocator.h:7
-
mlx::steel::AccumHelper
Definition transforms.h:48
-
mlx::steel::AccumHelper::accum_type
float accum_type
Definition transforms.h:49
-
mlx::steel::BlockSwizzle
Definition transforms.h:52
-
mlx::steel::BlockSwizzle::swizzle
static METAL_FUNC int2 swizzle(uint3 tid, const int swizzle_log)
Definition transforms.h:54
+
mlx::steel::AccumHelper
Definition transforms.h:56
+
mlx::steel::AccumHelper::accum_type
float accum_type
Definition transforms.h:57
+
mlx::steel::BlockSwizzle
Definition transforms.h:60
+
mlx::steel::BlockSwizzle::swizzle
static METAL_FUNC int2 swizzle(uint3 tid, const int swizzle_log)
Definition transforms.h:62
mlx::steel::TransformAdd
Definition transforms.h:26
-
mlx::steel::TransformAdd::apply
static METAL_FUNC OutT apply(InT x, OutT c)
Definition transforms.h:29
+
mlx::steel::TransformAdd::apply
static METAL_FUNC OutT apply(InT x, OutT c)
Definition transforms.h:33
mlx::steel::TransformAdd::TransformAdd
TransformAdd(const float, const float)
Definition transforms.h:27
-
mlx::steel::TransformAxpby
Definition transforms.h:35
-
mlx::steel::TransformAxpby::beta
const float beta
Definition transforms.h:37
-
mlx::steel::TransformAxpby::apply
METAL_FUNC OutT apply(InT x, OutT c) const
Definition transforms.h:42
-
mlx::steel::TransformAxpby::alpha
const float alpha
Definition transforms.h:36
-
mlx::steel::TransformAxpby::TransformAxpby
TransformAxpby(const float alpha_, const float beta_)
Definition transforms.h:39
+
mlx::steel::TransformAdd::apply
static METAL_FUNC OutT apply(InT x)
Definition transforms.h:29
+
mlx::steel::TransformAxpby
Definition transforms.h:39
+
mlx::steel::TransformAxpby::apply
static METAL_FUNC OutT apply(InT x)
Definition transforms.h:46
+
mlx::steel::TransformAxpby::beta
const float beta
Definition transforms.h:41
+
mlx::steel::TransformAxpby::apply
METAL_FUNC OutT apply(InT x, OutT c) const
Definition transforms.h:50
+
mlx::steel::TransformAxpby::alpha
const float alpha
Definition transforms.h:40
+
mlx::steel::TransformAxpby::TransformAxpby
TransformAxpby(const float alpha_, const float beta_)
Definition transforms.h:43
mlx::steel::TransformNone
Definition transforms.h:15
mlx::steel::TransformNone::apply
static METAL_FUNC OutT apply(InT x)
Definition transforms.h:16
mlx::steel::TransformNone::apply
static METAL_FUNC OutT apply(InT x, OutT)
Definition transforms.h:20
diff --git a/docs/build/html/bf16__math_8h_source.html b/docs/build/html/bf16__math_8h_source.html index 217403ab0..f8c7bfe2d 100644 --- a/docs/build/html/bf16__math_8h_source.html +++ b/docs/build/html/bf16__math_8h_source.html @@ -458,7 +458,7 @@ $(function() { codefold.init(0); });
370 }
371
-
372#if defined(__HAVE_BFLOAT__)
+
372#if defined METAL_3_1 || (__METAL_VERSION__ >= 310)
373
374#define bfloat16_to_uint16(x) as_type<uint16_t>(x)
375#define uint16_to_bfloat16(x) as_type<bfloat16_t>(x)
diff --git a/docs/build/html/classes.html b/docs/build/html/classes.html index e2a481f31..be7b8f1de 100644 --- a/docs/build/html/classes.html +++ b/docs/build/html/classes.html @@ -81,10 +81,10 @@ $(function() {
Abs
Abs (mlx::core)
Abs (mlx::core::detail)
AccumHelper (mlx::steel)
Add
Add (mlx::core)
Add (mlx::core::detail)
add_vec (pocketfft::detail)
add_vec< cmplx< T > > (pocketfft::detail)
AddMM (mlx::core)
aligned_allocator (pocketfft::detail::threading)
Allocator (mlx::core::allocator)
And
Arange (mlx::core)
ArcCos
ArcCos (mlx::core)
ArcCos (mlx::core::detail)
ArcCosh
ArcCosh (mlx::core)
ArcCosh (mlx::core::detail)
ArcSin
ArcSin (mlx::core)
ArcSin (mlx::core::detail)
ArcSinh
ArcSinh (mlx::core)
ArcSinh (mlx::core::detail)
ArcTan
ArcTan (mlx::core)
ArcTan (mlx::core::detail)
ArcTan2
ArcTan2 (mlx::core)
ArcTan2 (mlx::core::detail)
ArcTanh
ArcTanh (mlx::core)
ArcTanh (mlx::core::detail)
ArgPartition (mlx::core)
ArgReduce (mlx::core)
ArgSort (mlx::core)
arr (pocketfft::detail)
arr_info (pocketfft::detail)
array (mlx::core)
array::ArrayIterator (mlx::core)
AsStrided (mlx::core)
AsType (mlx::core)
B
-
_MLX_BFloat16::bits_to_bfloat_struct
BitwiseAnd
BitwiseAnd (mlx::core::detail)
BitwiseBinary (mlx::core)
BitwiseOr
BitwiseOr (mlx::core::detail)
BitwiseXor
BitwiseXor (mlx::core::detail)
BlockLoader (mlx::steel)
BlockMaskedMM (mlx::core)
BlockMMA (mlx::steel)
BlockSparseMM (mlx::core)
BlockSwizzle (mlx::steel)
bool4_or_uint
Broadcast (mlx::core)
Buffer (mlx::core::allocator)
+
_MLX_BFloat16::bits_to_bfloat_struct
BitwiseAnd
BitwiseAnd (mlx::core::detail)
BitwiseBinary (mlx::core)
BitwiseOr
BitwiseOr (mlx::core::detail)
BitwiseXor
BitwiseXor (mlx::core::detail)
BlockLoader (mlx::steel)
BlockMaskedMM (mlx::core)
BlockMMA (mlx::steel)
BlockSparseMM (mlx::core)
BlockSparseQMM (mlx::core)
BlockSwizzle (mlx::steel)
bool4_or_uint
Broadcast (mlx::core)
Buffer (mlx::core::allocator)
C
-
Ceil
Ceil (mlx::core)
Ceil (mlx::core::detail)
cfftp (pocketfft::detail)
ChannelHelper (mlx::steel)
ChannelHelper< 1 > (mlx::steel)
ChannelHelper< 2 > (mlx::steel)
ChannelHelper< 3 > (mlx::steel)
ChannelHelper< 4 > (mlx::steel)
cmplx (pocketfft::detail)
cndarr (pocketfft::detail)
CommandEncoder (mlx::core::metal)
CommonAllocator (mlx::core::allocator)
Compiled (mlx::core)
complex128_t (mlx::core)
complex64_t
complex64_t (mlx::core)
Concatenate (mlx::core)
concurrent_queue (pocketfft::detail::threading)
CommandEncoder::ConcurrentContext (mlx::core::metal)
Conjugate
Conjugate (mlx::core)
Conjugate (mlx::core::detail)
Conv2DGeneralBaseInfo (mlx::steel)
Conv2DGeneralJumpParams (mlx::steel)
Conv2DInputBlockLoaderGeneral (mlx::steel)
Conv2DInputBlockLoaderLargeFilter (mlx::steel)
Conv2DInputBlockLoaderSmallChannels (mlx::steel)
Conv2DInputBlockLoaderSmallFilter (mlx::steel)
Conv2DWeightBlockLoader (mlx::steel)
Conv2DWeightBlockLoaderGeneral (mlx::steel)
Conv2DWeightBlockLoaderSmallChannels (mlx::steel)
Convolution (mlx::core)
Copy (mlx::core)
Cos
Cos (mlx::core)
Cos (mlx::core::detail)
Cosh
Cosh (mlx::core)
Cosh (mlx::core::detail)
Custom (mlx::core::fast)
CustomVJP (mlx::core)
+
Ceil
Ceil (mlx::core)
Ceil (mlx::core::detail)
cfftp (pocketfft::detail)
ChannelHelper (mlx::steel)
ChannelHelper< 1 > (mlx::steel)
ChannelHelper< 2 > (mlx::steel)
ChannelHelper< 3 > (mlx::steel)
ChannelHelper< 4 > (mlx::steel)
Cholesky (mlx::core)
cmplx (pocketfft::detail)
cndarr (pocketfft::detail)
CommandEncoder (mlx::core::metal)
CommonAllocator (mlx::core::allocator)
Compiled (mlx::core)
complex128_t (mlx::core)
complex64_t
complex64_t (mlx::core)
Concatenate (mlx::core)
concurrent_queue (pocketfft::detail::threading)
CommandEncoder::ConcurrentContext (mlx::core::metal)
Conjugate
Conjugate (mlx::core)
Conjugate (mlx::core::detail)
Conv2DGeneralBaseInfo (mlx::steel)
Conv2DGeneralJumpParams (mlx::steel)
Conv2DInputBlockLoaderGeneral (mlx::steel)
Conv2DInputBlockLoaderLargeFilter (mlx::steel)
Conv2DInputBlockLoaderSmallChannels (mlx::steel)
Conv2DInputBlockLoaderSmallFilter (mlx::steel)
Conv2DWeightBlockLoader (mlx::steel)
Conv2DWeightBlockLoaderGeneral (mlx::steel)
Conv2DWeightBlockLoaderSmallChannels (mlx::steel)
Convolution (mlx::core)
Copy (mlx::core)
Cos
Cos (mlx::core)
Cos (mlx::core::detail)
Cosh
Cosh (mlx::core)
Cosh (mlx::core::detail)
Custom (mlx::core::fast)
CustomVJP (mlx::core)
D
array::Data (mlx::core)
Depends (mlx::core)
Device (mlx::core)
Device (mlx::core::metal)
Divide
Divide (mlx::core::detail)
Divide (mlx::core)
DivMod (mlx::core)
Dtype (mlx::core)
diff --git a/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m-members.html b/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m-members.html new file mode 100644 index 000000000..342d7880e --- /dev/null +++ b/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m-members.html @@ -0,0 +1,115 @@ + + + + + + + +MLX: Member List + + + + + + + + + + + +
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mlx::core::BlockSparseQMM Member List
+
+
+ +

This is the complete list of members for mlx::core::BlockSparseQMM, including all inherited members.

+ + + + + + + + + + + + + + + + + + + + + + + + + + +
BlockSparseQMM(Stream stream, int group_size, int bits, bool transpose)mlx::core::BlockSparseQMMinlineexplicit
device()mlx::core::Primitiveinline
eval_cpu(const std::vector< array > &inputs, array &out) overridemlx::core::BlockSparseQMMvirtual
mlx::core::UnaryPrimitive::eval_cpu(const std::vector< array > &inputs, std::vector< array > &outputs) overridemlx::core::UnaryPrimitiveinlinevirtual
eval_gpu(const std::vector< array > &inputs, array &out) overridemlx::core::BlockSparseQMMvirtual
mlx::core::UnaryPrimitive::eval_gpu(const std::vector< array > &inputs, std::vector< array > &outputs) overridemlx::core::UnaryPrimitiveinlinevirtual
is_equivalent(const Primitive &other) const overridemlx::core::BlockSparseQMMvirtual
jvp(const std::vector< array > &primals, const std::vector< array > &tangents, const std::vector< int > &argnums) overridemlx::core::BlockSparseQMMvirtual
operator=(const UnaryPrimitive &other)=deletemlx::core::UnaryPrimitive
operator=(UnaryPrimitive &&other)=deletemlx::core::UnaryPrimitive
mlx::core::Primitive::operator=(const Primitive &other)=deletemlx::core::Primitive
mlx::core::Primitive::operator=(Primitive &&other)=deletemlx::core::Primitive
output_shapes(const std::vector< array > &inputs)mlx::core::Primitivevirtual
Primitive(Stream stream)mlx::core::Primitiveinlineexplicit
Primitive(const Primitive &other)=deletemlx::core::Primitive
Primitive(Primitive &&other)=deletemlx::core::Primitive
print(std::ostream &os) overridemlx::core::BlockSparseQMMinlinevirtual
stream()mlx::core::Primitiveinline
UnaryPrimitive(Stream stream)mlx::core::UnaryPrimitiveinlineexplicit
UnaryPrimitive(const UnaryPrimitive &other)=deletemlx::core::UnaryPrimitive
UnaryPrimitive(UnaryPrimitive &&other)=deletemlx::core::UnaryPrimitive
vjp(const std::vector< array > &primals, const std::vector< array > &cotangents, const std::vector< int > &argnums, const std::vector< array > &outputs) overridemlx::core::BlockSparseQMMvirtual
vmap(const std::vector< array > &inputs, const std::vector< int > &axes) overridemlx::core::BlockSparseQMMvirtual
~Primitive()=defaultmlx::core::Primitivevirtual
~UnaryPrimitive()=defaultmlx::core::UnaryPrimitivevirtual
+ +
+Generated by doxygen 1.10.0 +
+ + diff --git a/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.html b/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.html new file mode 100644 index 000000000..1cbeda629 --- /dev/null +++ b/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.html @@ -0,0 +1,447 @@ + + + + + + + +MLX: mlx::core::BlockSparseQMM Class Reference + + + + + + + + + + + +
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+Public Member Functions | +List of all members
+
mlx::core::BlockSparseQMM Class Reference
+
+
+ +

#include <primitives.h>

+
+Inheritance diagram for mlx::core::BlockSparseQMM:
+
+
+ + +mlx::core::UnaryPrimitive +mlx::core::Primitive + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Public Member Functions

 BlockSparseQMM (Stream stream, int group_size, int bits, bool transpose)
 
void eval_cpu (const std::vector< array > &inputs, array &out) override
 
void eval_gpu (const std::vector< array > &inputs, array &out) override
 
virtual std::pair< std::vector< array >, std::vector< int > > vmap (const std::vector< array > &inputs, const std::vector< int > &axes) override
 The primitive must know how to vectorize itself across the given axes.
 
std::vector< array > jvp (const std::vector< array > &primals, const std::vector< array > &tangents, const std::vector< int > &argnums) override
 The Jacobian-vector product.
 
std::vector< array > vjp (const std::vector< array > &primals, const std::vector< array > &cotangents, const std::vector< int > &argnums, const std::vector< array > &outputs) override
 The vector-Jacobian product.
 
void print (std::ostream &os) override
 Print the primitive.
 
bool is_equivalent (const Primitive &other) const override
 Equivalence check defaults to false unless overridden by the primitive.
 
- Public Member Functions inherited from mlx::core::UnaryPrimitive
 UnaryPrimitive (Stream stream)
 An abstract base class for a primitive with a single output.
 
void eval_cpu (const std::vector< array > &inputs, std::vector< array > &outputs) override
 A primitive must know how to evaluate itself on the CPU/GPU for the given inputs and populate the output arrays.
 
void eval_gpu (const std::vector< array > &inputs, std::vector< array > &outputs) override
 
virtual ~UnaryPrimitive ()=default
 
 UnaryPrimitive (const UnaryPrimitive &other)=delete
 
 UnaryPrimitive (UnaryPrimitive &&other)=delete
 
UnaryPrimitive & operator= (const UnaryPrimitive &other)=delete
 
UnaryPrimitive & operator= (UnaryPrimitive &&other)=delete
 
- Public Member Functions inherited from mlx::core::Primitive
 Primitive (Stream stream)
 
const Device & device ()
 The device the primitive will run on.
 
const Stream & stream ()
 The stream the primitive will run on.
 
virtual std::vector< std::vector< int > > output_shapes (const std::vector< array > &inputs)
 Get the output shapes of the primitive.
 
virtual ~Primitive ()=default
 
 Primitive (const Primitive &other)=delete
 
 Primitive (Primitive &&other)=delete
 
Primitive & operator= (const Primitive &other)=delete
 
Primitive & operator= (Primitive &&other)=delete
 
+

Constructor & Destructor Documentation

+ +

◆ BlockSparseQMM()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + + + + + + +
mlx::core::BlockSparseQMM::BlockSparseQMM (Stream stream,
int group_size,
int bits,
bool transpose )
+ 		+inlineexplicit
+
+ +
+
+

Member Function Documentation

+ +

◆ eval_cpu()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
void mlx::core::BlockSparseQMM::eval_cpu (const std::vector< array > & inputs,
array & out )
+ 		+overridevirtual
+
+ +

Implements mlx::core::UnaryPrimitive.

+ +
+
+ +

◆ eval_gpu()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
void mlx::core::BlockSparseQMM::eval_gpu (const std::vector< array > & inputs,
array & out )
+ 		+overridevirtual
+
+ +

Implements mlx::core::UnaryPrimitive.

+ +
+
+ +

◆ is_equivalent()

+ +
+
+ + + + + +
+ + + + + + + +
bool mlx::core::BlockSparseQMM::is_equivalent (const Primitive & other) const
+ 		+overridevirtual
+
+ +

Equivalence check defaults to false unless overridden by the primitive.

+ +

Reimplemented from mlx::core::Primitive.

+ +
+
+ +

◆ jvp()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + +
std::vector< array > mlx::core::BlockSparseQMM::jvp (const std::vector< array > & primals,
const std::vector< array > & tangents,
const std::vector< int > & argnums )
+ 		+overridevirtual
+
+ +

The Jacobian-vector product.

+ +

Reimplemented from mlx::core::Primitive.

+ +
+
+ +

◆ print()

+ +
+
+ + + + + +
+ + + + + + + +
void mlx::core::BlockSparseQMM::print (std::ostream & os)
+ 		+inlineoverridevirtual
+
+ +

Print the primitive.

+ +

Implements mlx::core::Primitive.

+ +
+
+ +

◆ vjp()

+ +
+
+ + + + + +
+ + + + + + + + + + + + + + + + + + + + + +
std::vector< array > mlx::core::BlockSparseQMM::vjp (const std::vector< array > & primals,
const std::vector< array > & cotangents,
const std::vector< int > & argnums,
const std::vector< array > & outputs )
+ 		+overridevirtual
+
+ +

The vector-Jacobian product.

+ +

Reimplemented from mlx::core::Primitive.

+ +
+
+ +

◆ vmap()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
virtual std::pair< std::vector< array >, std::vector< int > > mlx::core::BlockSparseQMM::vmap (const std::vector< array > & inputs,
const std::vector< int > & axes )
+ 		+overridevirtual
+
+ +

The primitive must know how to vectorize itself across the given axes.

+

The output is a pair containing the output arrays representing the vectorized computation and the axes which corresponds to the vectorized dimensions of each output.

+ +

Reimplemented from mlx::core::Primitive.

+ +
+
+
The documentation for this class was generated from the following file: +
+ +
+Generated by doxygen 1.10.0 +
+ + diff --git a/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.png b/docs/build/html/classmlx_1_1core_1_1_block_sparse_q_m_m.png new file mode 100644 index 0000000000000000000000000000000000000000..3c033d8f85ff4fdaeda5dbdd9234fd18efac0e02 GIT binary patch literal 981 zcmeAS@N?(olHy`uVBq!ia0vp^tAV(KgBeJ!=X<>wNJ$6ygt-3y{~ySF@#br3|Doj; z2ATyD)6cwk@ZbSZ-1KbN5}+JsNswPK1CS2}=1jA%FfcGDc)B=-R4~4so7ms1z|$5V zH)-kr|KjtDn{*dk-koPTNzZPg=9KoRA3bx5=dq+rn$uLE>REqis>Sb zx;OUL`fio=p98N?Hr(#2ziZi~)~ySl-Mkc*m%ZI~a`p4)vrUi4rN0dOeQOprSRVWJ zpY4h4{q^^DO?pzDw`dpUF3xv%}b)vtE>O*`>#)59;yshjpn zd^bMdX8dxa%2m@dtL1Jy>GgS&`Kjv4_G{U@kFDQPHv4Fu``ep(+7thVzH&Xj_tmQM z=Z+rq*J!ZY0l)aXH_x|ka`uid${>9D`PJNJN zRQy#&!LvMX-c^;GA63Kouj=pIwW4k>qM5{39UHH6>^ki;CbxO^$Fu!TLj?E=T6y z`?~D+E=Tvn+t_bs3r;NdI)15o=jvts*}~g9lb4ALS}rQPGws`+mCFi!Qx9!j_-Ojm zX`$;4zunxr`sJ^xZOhX{j(yQ<)Z4M{;v|pymAAE9%mUYK%Z}VUYZrGi`^&=FU0(A} zu9my=#8<`BKYIPyEv8G)O8owQd0o~1p3k?AUPykeA-d*gSnTHuq4`sr_w>Em>U&Y| z>hz%9*F#0`7v=W%l?g>NAOD(lYUj%9WfQE}k4>JpyU(orXGNCY*U;O=3-;unYuv>m z`{U|GF1eju9W?^|kswbQO + + + + + + +MLX: Member List + + + + + + + + + + + +
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mlx::core::Cholesky Member List
+
+
+ +

This is the complete list of members for mlx::core::Cholesky, including all inherited members.

+ + + + + + + + + + + + + + + + + + + + + + + + + + +
Cholesky(Stream stream, bool upper)mlx::core::Choleskyinlineexplicit
device()mlx::core::Primitiveinline
eval_cpu(const std::vector< array > &inputs, array &out) overridemlx::core::Choleskyvirtual
mlx::core::UnaryPrimitive::eval_cpu(const std::vector< array > &inputs, std::vector< array > &outputs) overridemlx::core::UnaryPrimitiveinlinevirtual
eval_gpu(const std::vector< array > &inputs, array &out) overridemlx::core::Choleskyvirtual
mlx::core::UnaryPrimitive::eval_gpu(const std::vector< array > &inputs, std::vector< array > &outputs) overridemlx::core::UnaryPrimitiveinlinevirtual
is_equivalent(const Primitive &other) constmlx::core::Primitiveinlinevirtual
jvp(const std::vector< array > &primals, const std::vector< array > &tangents, const std::vector< int > &argnums)mlx::core::Primitivevirtual
operator=(const UnaryPrimitive &other)=deletemlx::core::UnaryPrimitive
operator=(UnaryPrimitive &&other)=deletemlx::core::UnaryPrimitive
mlx::core::Primitive::operator=(const Primitive &other)=deletemlx::core::Primitive
mlx::core::Primitive::operator=(Primitive &&other)=deletemlx::core::Primitive
output_shapes(const std::vector< array > &inputs)mlx::core::Primitivevirtual
Primitive(Stream stream)mlx::core::Primitiveinlineexplicit
Primitive(const Primitive &other)=deletemlx::core::Primitive
Primitive(Primitive &&other)=deletemlx::core::Primitive
print(std::ostream &os) overridemlx::core::Choleskyinlinevirtual
stream()mlx::core::Primitiveinline
UnaryPrimitive(Stream stream)mlx::core::UnaryPrimitiveinlineexplicit
UnaryPrimitive(const UnaryPrimitive &other)=deletemlx::core::UnaryPrimitive
UnaryPrimitive(UnaryPrimitive &&other)=deletemlx::core::UnaryPrimitive
vjp(const std::vector< array > &primals, const std::vector< array > &cotangents, const std::vector< int > &argnums, const std::vector< array > &outputs)mlx::core::Primitivevirtual
vmap(const std::vector< array > &inputs, const std::vector< int > &axes) overridemlx::core::Choleskyvirtual
~Primitive()=defaultmlx::core::Primitivevirtual
~UnaryPrimitive()=defaultmlx::core::UnaryPrimitivevirtual
+ +
+Generated by doxygen 1.10.0 +
+ + diff --git a/docs/build/html/classmlx_1_1core_1_1_cholesky.html b/docs/build/html/classmlx_1_1core_1_1_cholesky.html new file mode 100644 index 000000000..ece661cf6 --- /dev/null +++ b/docs/build/html/classmlx_1_1core_1_1_cholesky.html @@ -0,0 +1,327 @@ + + + + + + + +MLX: mlx::core::Cholesky Class Reference + + + + + + + + + + + +
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+Public Member Functions | +List of all members
+
mlx::core::Cholesky Class Reference
+
+
+ +

#include <primitives.h>

+
+Inheritance diagram for mlx::core::Cholesky:
+
+
+ + +mlx::core::UnaryPrimitive +mlx::core::Primitive + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Public Member Functions

 Cholesky (Stream stream, bool upper)
 
void eval_cpu (const std::vector< array > &inputs, array &out) override
 
void eval_gpu (const std::vector< array > &inputs, array &out) override
 
virtual std::pair< std::vector< array >, std::vector< int > > vmap (const std::vector< array > &inputs, const std::vector< int > &axes) override
 The primitive must know how to vectorize itself across the given axes.
 
void print (std::ostream &os) override
 Print the primitive.
 
- Public Member Functions inherited from mlx::core::UnaryPrimitive
 UnaryPrimitive (Stream stream)
 An abstract base class for a primitive with a single output.
 
void eval_cpu (const std::vector< array > &inputs, std::vector< array > &outputs) override
 A primitive must know how to evaluate itself on the CPU/GPU for the given inputs and populate the output arrays.
 
void eval_gpu (const std::vector< array > &inputs, std::vector< array > &outputs) override
 
virtual ~UnaryPrimitive ()=default
 
 UnaryPrimitive (const UnaryPrimitive &other)=delete
 
 UnaryPrimitive (UnaryPrimitive &&other)=delete
 
UnaryPrimitive & operator= (const UnaryPrimitive &other)=delete
 
UnaryPrimitive & operator= (UnaryPrimitive &&other)=delete
 
- Public Member Functions inherited from mlx::core::Primitive
 Primitive (Stream stream)
 
const Device & device ()
 The device the primitive will run on.
 
const Stream & stream ()
 The stream the primitive will run on.
 
virtual std::vector< array > jvp (const std::vector< array > &primals, const std::vector< array > &tangents, const std::vector< int > &argnums)
 The Jacobian-vector product.
 
virtual std::vector< array > vjp (const std::vector< array > &primals, const std::vector< array > &cotangents, const std::vector< int > &argnums, const std::vector< array > &outputs)
 The vector-Jacobian product.
 
virtual bool is_equivalent (const Primitive &other) const
 Equivalence check defaults to false unless overridden by the primitive.
 
virtual std::vector< std::vector< int > > output_shapes (const std::vector< array > &inputs)
 Get the output shapes of the primitive.
 
virtual ~Primitive ()=default
 
 Primitive (const Primitive &other)=delete
 
 Primitive (Primitive &&other)=delete
 
Primitive & operator= (const Primitive &other)=delete
 
Primitive & operator= (Primitive &&other)=delete
 
+

Constructor & Destructor Documentation

+ +

◆ Cholesky()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
mlx::core::Cholesky::Cholesky (Stream stream,
bool upper )
+ 		+inlineexplicit
+
+ +
+
+

Member Function Documentation

+ +

◆ eval_cpu()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
void mlx::core::Cholesky::eval_cpu (const std::vector< array > & inputs,
array & out )
+ 		+overridevirtual
+
+ +

Implements mlx::core::UnaryPrimitive.

+ +
+
+ +

◆ eval_gpu()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
void mlx::core::Cholesky::eval_gpu (const std::vector< array > & inputs,
array & out )
+ 		+overridevirtual
+
+ +

Implements mlx::core::UnaryPrimitive.

+ +
+
+ +

◆ print()

+ +
+
+ + + + + +
+ + + + + + + +
void mlx::core::Cholesky::print (std::ostream & os)
+ 		+inlineoverridevirtual
+
+ +

Print the primitive.

+ +

Implements mlx::core::Primitive.

+ +
+
+ +

◆ vmap()

+ +
+
+ + + + + +
+ + + + + + + + + + + +
virtual std::pair< std::vector< array >, std::vector< int > > mlx::core::Cholesky::vmap (const std::vector< array > & inputs,
const std::vector< int > & axes )
+ 		+overridevirtual
+
+ +

The primitive must know how to vectorize itself across the given axes.

+

The output is a pair containing the output arrays representing the vectorized computation and the axes which corresponds to the vectorized dimensions of each output.

+ +

Reimplemented from mlx::core::Primitive.

+ +
+
+
The documentation for this class was generated from the following file: +
+ +
+Generated by doxygen 1.10.0 +
+ + diff --git a/docs/build/html/classmlx_1_1core_1_1_cholesky.png b/docs/build/html/classmlx_1_1core_1_1_cholesky.png new file mode 100644 index 0000000000000000000000000000000000000000..f0f57d4b8bb439f6c553edaf191c18964559e36d GIT binary patch literal 909 zcmeAS@N?(olHy`uVBq!ia0vp^(}1{xgBeH~F+Z{fQqloFA+G=b{|7Q(y!l$%e`vXd zfo6fk^fNCWJa_;UH$5A+1SrQ@666=m0OW&#In(Sb3=GT?o-U3d6^w7^KAiMQfya$s z-q`Qn|IYli)0mb@mB*w$Pix;C#{JMl<=6B%#q;<#shoAo@SHUL!Xy=azO^czb(g;8 zZz-j>xWS06WC zGwqqgwzxO8e#_jT(sYUCeF~no{hLDFUv5%VmCejvJ^k;VYa34aZ+(|~am}O<{`p~d z9o27IP5TuGgx>D4JU@zL$hHS0pRx2niix~`VVxZU}*YQi-Y)5VoX z>}e5en0|rjgHRMhoD=r}?+nHYB*{PQQI^kb@yrhhALeW^>fS^qO9Kl=Uv|KA^fZoCTLT9@~=yl$21%hxT_R4QkNYd@c}ocTd)48yZz zzqO}Rz1CZ96r<1bJoJd8DOn7K}1 zvhK1UcDZl%U3&lQ`(;x(($d(^Z4Py}PEnp2=|6vM@LHjd-2Axr$F ztaE8|)&}PCZVEkm&-?P3HOCi%QwjT4E8hOB)$i1eH;e5Lv%IiP_;uRtd!_C+?~brf z{rWZkr{z|^@Bda^`+2SY>+)M?-h6JEHgo3m%B?_eSp8%Cc5e2npZQ&&jKkpR>gTe~ HDWM4fy=K7t literal 0 HcmV?d00001 diff --git a/docs/build/html/classmlx_1_1core_1_1_primitive.html b/docs/build/html/classmlx_1_1core_1_1_primitive.html index 12c2e073c..aa701ef61 100644 --- a/docs/build/html/classmlx_1_1core_1_1_primitive.html +++ b/docs/build/html/classmlx_1_1core_1_1_primitive.html @@ -364,7 +364,7 @@ Public Member Functions

Equivalence check defaults to false unless overridden by the primitive.

-

Reimplemented in mlx::core::fast::ScaledDotProductAttention, mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, and mlx::core::Transpose.

+

Reimplemented in mlx::core::fast::ScaledDotProductAttention, mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, and mlx::core::Transpose.

@@ -402,7 +402,7 @@ Public Member Functions

The Jacobian-vector product.

-

Reimplemented in mlx::core::fast::Custom, mlx::core::Abs, mlx::core::Add, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::AsType, mlx::core::AsStrided, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, and mlx::core::Transpose.

+

Reimplemented in mlx::core::fast::Custom, mlx::core::Abs, mlx::core::Add, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::AsType, mlx::core::AsStrided, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, and mlx::core::Transpose.

@@ -511,7 +511,7 @@ Public Member Functions

Print the primitive.

-

Implemented in mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, mlx::core::QRF, mlx::core::SVD, and mlx::core::Inverse.

+

Implemented in mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, mlx::core::QRF, mlx::core::SVD, mlx::core::Inverse, and mlx::core::Cholesky.

@@ -581,7 +581,7 @@ Public Member Functions

The vector-Jacobian product.

-

Reimplemented in mlx::core::CustomVJP, mlx::core::Depends, mlx::core::fast::Custom, mlx::core::fast::RMSNorm, mlx::core::fast::LayerNorm, mlx::core::fast::RoPE, mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, and mlx::core::Transpose.

+

Reimplemented in mlx::core::CustomVJP, mlx::core::Depends, mlx::core::fast::Custom, mlx::core::fast::RMSNorm, mlx::core::fast::LayerNorm, mlx::core::fast::RoPE, mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, and mlx::core::Transpose.

@@ -615,7 +615,7 @@ Public Member Functions

The primitive must know how to vectorize itself across the given axes.

The output is a pair containing the output arrays representing the vectorized computation and the axes which corresponds to the vectorized dimensions of each output.

-

Reimplemented in mlx::core::fast::Custom, mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, mlx::core::SVD, and mlx::core::Inverse.

+

Reimplemented in mlx::core::fast::Custom, mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, mlx::core::SVD, mlx::core::Inverse, and mlx::core::Cholesky.

diff --git a/docs/build/html/classmlx_1_1core_1_1_unary_primitive.html b/docs/build/html/classmlx_1_1core_1_1_unary_primitive.html index 5644a664e..0e244a441 100644 --- a/docs/build/html/classmlx_1_1core_1_1_unary_primitive.html +++ b/docs/build/html/classmlx_1_1core_1_1_unary_primitive.html @@ -109,71 +109,73 @@ Inheritance diagram for mlx::core::UnaryPrimitive: mlx::core::BitwiseBinary mlx::core::BlockMaskedMM mlx::core::BlockSparseMM -mlx::core::Broadcast -mlx::core::Ceil -mlx::core::Concatenate -mlx::core::Conjugate -mlx::core::Convolution -mlx::core::Copy -mlx::core::Cos -mlx::core::Cosh -mlx::core::Divide -mlx::core::Equal -mlx::core::Erf -mlx::core::ErfInv -mlx::core::Exp -mlx::core::Expm1 -mlx::core::FFT -mlx::core::Floor -mlx::core::Full -mlx::core::Gather -mlx::core::Greater -mlx::core::GreaterEqual -mlx::core::Inverse -mlx::core::Less -mlx::core::LessEqual -mlx::core::Load -mlx::core::Log -mlx::core::Log1p -mlx::core::LogAddExp -mlx::core::LogicalAnd -mlx::core::LogicalNot -mlx::core::LogicalOr -mlx::core::Matmul -mlx::core::Maximum -mlx::core::Minimum -mlx::core::Multiply -mlx::core::Negative -mlx::core::NotEqual -mlx::core::NumberOfElements -mlx::core::Pad -mlx::core::Partition -mlx::core::Power -mlx::core::QuantizedMatmul -mlx::core::RandomBits -mlx::core::Reduce -mlx::core::Remainder -mlx::core::Reshape -mlx::core::Round -mlx::core::Scan -mlx::core::Scatter -mlx::core::Select -mlx::core::Sigmoid -mlx::core::Sign -mlx::core::Sin -mlx::core::Sinh -mlx::core::Slice -mlx::core::SliceUpdate -mlx::core::Softmax -mlx::core::Sort -mlx::core::Sqrt -mlx::core::Square -mlx::core::StopGradient -mlx::core::Subtract -mlx::core::Tan -mlx::core::Tanh -mlx::core::Transpose -mlx::core::Uniform +mlx::core::BlockSparseQMM +mlx::core::Broadcast +mlx::core::Ceil +mlx::core::Cholesky +mlx::core::Concatenate +mlx::core::Conjugate +mlx::core::Convolution +mlx::core::Copy +mlx::core::Cos +mlx::core::Cosh +mlx::core::Divide +mlx::core::Equal +mlx::core::Erf +mlx::core::ErfInv +mlx::core::Exp +mlx::core::Expm1 +mlx::core::FFT +mlx::core::Floor +mlx::core::Full +mlx::core::Gather +mlx::core::Greater +mlx::core::GreaterEqual +mlx::core::Inverse +mlx::core::Less +mlx::core::LessEqual +mlx::core::Load +mlx::core::Log +mlx::core::Log1p +mlx::core::LogAddExp +mlx::core::LogicalAnd +mlx::core::LogicalNot +mlx::core::LogicalOr +mlx::core::Matmul +mlx::core::Maximum +mlx::core::Minimum +mlx::core::Multiply +mlx::core::Negative +mlx::core::NotEqual +mlx::core::NumberOfElements +mlx::core::Pad +mlx::core::Partition +mlx::core::Power +mlx::core::QuantizedMatmul +mlx::core::RandomBits +mlx::core::Reduce +mlx::core::Remainder +mlx::core::Reshape +mlx::core::Round +mlx::core::Scan +mlx::core::Scatter +mlx::core::Select +mlx::core::Sigmoid +mlx::core::Sign +mlx::core::Sin +mlx::core::Sinh +mlx::core::Slice +mlx::core::SliceUpdate +mlx::core::Softmax +mlx::core::Sort +mlx::core::Sqrt +mlx::core::Square +mlx::core::StopGradient +mlx::core::Subtract +mlx::core::Tan +mlx::core::Tanh +mlx::core::Transpose +mlx::core::Uniform @@ -370,7 +372,7 @@ Public Member Functions
-

Implemented in mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, and mlx::core::Inverse.

+

Implemented in mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, mlx::core::Cholesky, and mlx::core::Inverse.

@@ -435,7 +437,7 @@ Public Member Functions
-

Implemented in mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, and mlx::core::Inverse.

+

Implemented in mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan, mlx::core::ArcTan2, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::AsStrided, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::Select, mlx::core::Remainder, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log, mlx::core::Log1p, mlx::core::LogicalNot, mlx::core::LogicalAnd, mlx::core::LogicalOr, mlx::core::LogAddExp, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::QuantizedMatmul, mlx::core::BlockSparseQMM, mlx::core::RandomBits, mlx::core::Reshape, mlx::core::Reduce, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Square, mlx::core::Sqrt, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Uniform, mlx::core::Transpose, mlx::core::Cholesky, and mlx::core::Inverse.

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b/docs/build/html/compiled_8h_source.html index 6e37a563e..f5ec537b0 100644 --- a/docs/build/html/compiled_8h_source.html +++ b/docs/build/html/compiled_8h_source.html @@ -168,7 +168,7 @@ $(function() { codefold.init(0); });
mlx::core::Broadcast
Definition primitives.h:525
mlx::core::Copy
Definition primitives.h:680
mlx::core::Primitive
Definition primitives.h:48
-
mlx::core::StopGradient
Definition primitives.h:1919
+
mlx::core::StopGradient
Definition primitives.h:1947
mlx::core::array
Definition array.h:20
mlx::core::array::ndim
size_t ndim() const
The number of dimensions of the array.
Definition array.h:94
mlx::core::array::item
T item()
Get the value from a scalar array.
Definition array.h:489
diff --git a/docs/build/html/cpp/ops.html b/docs/build/html/cpp/ops.html index a43770828..9e4d3eb47 100644 --- a/docs/build/html/cpp/ops.html +++ b/docs/build/html/cpp/ops.html @@ -8,7 +8,7 @@ - Operations — MLX 0.13.0 documentation + Operations — MLX 0.13.1 documentation @@ -36,14 +36,14 @@ - + - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -1041,9 +1050,11 @@ document.write(`
  • conv_general()
  • conv1d()
  • conv2d()
    • +
  • conv3d()
  • quantized_matmul()
  • quantize()
  • dequantize()
    • +
  • block_sparse_qmm()
  • tensordot()
  • tensordot()
  • outer()
    • @@ -2520,6 +2531,12 @@ document.write(`

    2D convolution with a filter

    +
    +
    +array conv3d(const array &input, const array &weight, const std::tuple<int, int, int> &stride = {1, 1, 1}, const std::tuple<int, int, int> &padding = {0, 0, 0}, const std::tuple<int, int, int> &dilation = {1, 1, 1}, int groups = 1, StreamOrDevice s = {})#
    +

    3D convolution with a filter

    +
    +
    array quantized_matmul(const array &x, const array &w, const array &scales, const array &biases, bool transpose = true, int group_size = 64, int bits = 4, StreamOrDevice s = {})#
    @@ -2538,6 +2555,12 @@ document.write(`

    Dequantize a matrix produced by quantize()

    +
    +
    +array block_sparse_qmm(const array &x, const array &w, const array &scales, const array &biases, std::optional<array> lhs_indices = std::nullopt, std::optional<array> rhs_indices = std::nullopt, bool transpose = true, int group_size = 64, int bits = 4, StreamOrDevice s = {})#
    +

    Compute matrix products with matrix-level gather.

    +
    +
    array tensordot(const array &a, const array &b, const int axis = 2, StreamOrDevice s = {})#
    @@ -2723,7 +2746,7 @@ document.write(` title="next page">

    next

    -

    Developer Documentation

    +

    Custom Extensions in MLX

    @@ -2996,9 +3019,11 @@ document.write(`
  • conv_general()
  • conv1d()
  • conv2d()
    • +
  • conv3d()
  • quantized_matmul()
  • quantize()
  • dequantize()
    • +
  • block_sparse_qmm()
  • tensordot()
  • tensordot()
  • outer()
    • diff --git a/docs/build/html/dev/extensions.html b/docs/build/html/dev/extensions.html index adbf3b2c6..f801e7199 100644 --- a/docs/build/html/dev/extensions.html +++ b/docs/build/html/dev/extensions.html @@ -8,7 +8,7 @@ - Developer Documentation — MLX 0.13.0 documentation + Custom Extensions in MLX — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -777,7 +786,7 @@ document.write(`
    -

    Developer Documentation

    +

    Custom Extensions in MLX

    @@ -822,8 +831,8 @@ document.write(`
    -
    -

    Developer Documentation#

    +
    +

    Custom Extensions in MLX#

    You can extend MLX with custom operations on the CPU or GPU. This guide explains how to do that with a simple example.

    @@ -1280,7 +1289,7 @@ below.

    auto kernel = d.get_kernel(kname.str(), "mlx_ext"); // Prepare to encode kernel - auto compute_encoder = d.get_command_encoder(s.index); + auto& compute_encoder = d.get_command_encoder(s.index); compute_encoder->setComputePipelineState(kernel); // Kernel parameters are registered with buffer indices corresponding to @@ -1289,11 +1298,11 @@ below.

    size_t nelem = out.size(); // Encode input arrays to kernel - set_array_buffer(compute_encoder, x, 0); - set_array_buffer(compute_encoder, y, 1); + compute_encoder.set_input_array(x, 0); + compute_encoder.set_input_array(y, 1); // Encode output arrays to kernel - set_array_buffer(compute_encoder, out, 2); + compute_encoder.set_output_array(out, 2); // Encode alpha and beta compute_encoder->setBytes(&alpha_, sizeof(float), 3); @@ -1317,7 +1326,7 @@ below.

    // Launch the grid with the given number of threads divided among // the given threadgroups - compute_encoder->dispatchThreads(grid_dims, group_dims); + compute_encoder.dispatchThreads(grid_dims, group_dims); }
    @@ -1589,7 +1598,7 @@ import the Python package and play with it as you would any other MLX operation. print(f"c shape: {c.shape}") print(f"c dtype: {c.dtype}") -print(f"c correctness: {mx.all(c == 6.0).item()}") +print(f"c correct: {mx.all(c == 6.0).item()}")

    Output:

    diff --git a/docs/build/html/dev/metal_debugger.html b/docs/build/html/dev/metal_debugger.html index 57c07026d..a23b9d821 100644 --- a/docs/build/html/dev/metal_debugger.html +++ b/docs/build/html/dev/metal_debugger.html @@ -8,7 +8,7 @@ - Metal Debugger — MLX 0.13.0 documentation + Metal Debugger — MLX 0.13.1 documentation @@ -36,14 +36,14 @@ - + - + @@ -130,8 +130,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -245,6 +245,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -870,7 +879,7 @@ Xcode project using CMake.

    previous

    -

    Developer Documentation

    +

    Custom Extensions in MLX

    diff --git a/docs/build/html/doxygen_crawl.html b/docs/build/html/doxygen_crawl.html index eeeffb925..753520686 100644 --- a/docs/build/html/doxygen_crawl.html +++ b/docs/build/html/doxygen_crawl.html @@ -401,10 +401,14 @@ + + + + diff --git a/docs/build/html/examples/linear_regression.html b/docs/build/html/examples/linear_regression.html index 7ed3901d7..7ce87a327 100644 --- a/docs/build/html/examples/linear_regression.html +++ b/docs/build/html/examples/linear_regression.html @@ -8,7 +8,7 @@ - Linear Regression — MLX 0.13.0 documentation + Linear Regression — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/examples/llama-inference.html b/docs/build/html/examples/llama-inference.html index 8234fe5af..ea01e1615 100644 --- a/docs/build/html/examples/llama-inference.html +++ b/docs/build/html/examples/llama-inference.html @@ -8,7 +8,7 @@ - LLM inference — MLX 0.13.0 documentation + LLM inference — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/examples/mlp.html b/docs/build/html/examples/mlp.html index b2d096363..43d2faf59 100644 --- a/docs/build/html/examples/mlp.html +++ b/docs/build/html/examples/mlp.html @@ -8,7 +8,7 @@ - Multi-Layer Perceptron — MLX 0.13.0 documentation + Multi-Layer Perceptron — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/functions_a.html b/docs/build/html/functions_a.html index 3da3d67a0..9ab5d4d08 100644 --- a/docs/build/html/functions_a.html +++ b/docs/build/html/functions_a.html @@ -90,7 +90,9 @@ $(function() {
  • allocator : mlx::core::allocator::CommonAllocator, mlx::core::metal::MetalAllocator
  • alpha : mlx::steel::GEMMAddMMParams, mlx::steel::TransformAxpby< OutT, InT >
  • And : mlx::core::BitwiseBinary, mlx::core::Reduce
    • -
  • apply() : mlx::steel::TransformAdd< OutT, InT >, mlx::steel::TransformAxpby< OutT, InT >, mlx::steel::TransformNone< OutT, InT >
    • +
  • apply() : mlx::steel::TransformAdd< OutT, InT >, mlx::steel::TransformAxpby< OutT, InT >, mlx::steel::TransformNone< OutT, InT >
    • +
  • apply_epilogue() : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • +
  • apply_epilogue_safe() : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • Arange() : mlx::core::Arange
  • ArcCos() : mlx::core::ArcCos
  • ArcCosh() : mlx::core::ArcCosh
    • diff --git a/docs/build/html/functions_b.html b/docs/build/html/functions_b.html index e5279524c..8d03d5e6f 100644 --- a/docs/build/html/functions_b.html +++ b/docs/build/html/functions_b.html @@ -95,6 +95,7 @@ $(function() {
  • BlockMaskedMM() : mlx::core::BlockMaskedMM
  • BlockMMA() : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • BlockSparseMM() : mlx::core::BlockSparseMM
    • +
  • BlockSparseQMM() : mlx::core::BlockSparseQMM
  • Broadcast() : mlx::core::Broadcast
  • BROWS : mlx::steel::Conv2DInputBlockLoaderGeneral< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DInputBlockLoaderLargeFilter< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DInputBlockLoaderSmallChannels< T, BM, BN, BK, tgp_size, n_channels, tgp_padding >, mlx::steel::Conv2DInputBlockLoaderSmallFilter< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoader< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoaderGeneral< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoaderSmallChannels< T, BM, BN, BK, tgp_size, n_channels, tgp_padding >
  • Bs_offset : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • diff --git a/docs/build/html/functions_c.html b/docs/build/html/functions_c.html index 727c87084..f2a3a607d 100644 --- a/docs/build/html/functions_c.html +++ b/docs/build/html/functions_c.html @@ -79,6 +79,7 @@ $(function() {
  • Category : mlx::core::Dtype
  • Ceil() : mlx::core::Ceil
  • cfftp() : pocketfft::detail::cfftp< T0 >
    • +
  • Cholesky() : mlx::core::Cholesky
  • clear_cache() : mlx::core::metal::MetalAllocator
  • cmplx() : pocketfft::detail::cmplx< T >
  • cndarr() : pocketfft::detail::cndarr< T >
    • diff --git a/docs/build/html/functions_e.html b/docs/build/html/functions_e.html index 0373de1bd..6c5380511 100644 --- a/docs/build/html/functions_e.html +++ b/docs/build/html/functions_e.html @@ -85,10 +85,10 @@ $(function() {
  • Erf() : mlx::core::Erf
  • ErfInv() : mlx::core::ErfInv
  • eval() : mlx::core::array
    • -
  • eval_cpu() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::LayerNorm, mlx::core::fast::LayerNormVJP, mlx::core::fast::RMSNorm, mlx::core::fast::RMSNormVJP, mlx::core::fast::RoPE, mlx::core::fast::ScaledDotProductAttention, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QRF, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::UnaryPrimitive, mlx::core::Uniform
    • -
  • eval_gpu() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::LayerNorm, mlx::core::fast::LayerNormVJP, mlx::core::fast::RMSNorm, mlx::core::fast::RMSNormVJP, mlx::core::fast::RoPE, mlx::core::fast::ScaledDotProductAttention, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QRF, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::UnaryPrimitive, mlx::core::Uniform
    • +
  • eval_cpu() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Cholesky, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::LayerNorm, mlx::core::fast::LayerNormVJP, mlx::core::fast::RMSNorm, mlx::core::fast::RMSNormVJP, mlx::core::fast::RoPE, mlx::core::fast::ScaledDotProductAttention, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QRF, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::UnaryPrimitive, mlx::core::Uniform
    • +
  • eval_gpu() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Cholesky, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::LayerNorm, mlx::core::fast::LayerNormVJP, mlx::core::fast::RMSNorm, mlx::core::fast::RMSNormVJP, mlx::core::fast::RoPE, mlx::core::fast::ScaledDotProductAttention, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QRF, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::UnaryPrimitive, mlx::core::Uniform
  • event() : mlx::core::array
    • -
  • Event() : mlx::core::Event
    • +
  • Event() : mlx::core::Event
  • excess : mlx::steel::ChannelHelper< n_channels_ >, mlx::steel::ChannelHelper< 1 >, mlx::steel::ChannelHelper< 2 >, mlx::steel::ChannelHelper< 3 >, mlx::steel::ChannelHelper< 4 >
  • exec() : pocketfft::detail::cfftp< T0 >, pocketfft::detail::fftblue< T0 >, pocketfft::detail::pocketfft_c< T0 >, pocketfft::detail::pocketfft_r< T0 >, pocketfft::detail::rfftp< T0 >, pocketfft::detail::T_dcst23< T0 >, pocketfft::detail::T_dcst4< T0 >, pocketfft::detail::T_dct1< T0 >, pocketfft::detail::T_dst1< T0 >
  • exec_r() : pocketfft::detail::fftblue< T0 >
    • diff --git a/docs/build/html/functions_func_a.html b/docs/build/html/functions_func_a.html index 2afeb9d52..b3fcd5beb 100644 --- a/docs/build/html/functions_func_a.html +++ b/docs/build/html/functions_func_a.html @@ -82,7 +82,9 @@ $(function() {
  • alloc() : MPS::Matrix, MPS::MatrixMultiplication, MPS::MatrixVectorMultiplication, MPS::Vector
  • allocate() : pocketfft::detail::threading::aligned_allocator< T >
  • Allocator() : mlx::core::allocator::Allocator
    • -
  • apply() : mlx::steel::TransformAdd< OutT, InT >, mlx::steel::TransformAxpby< OutT, InT >, mlx::steel::TransformNone< OutT, InT >
    • +
  • apply() : mlx::steel::TransformAdd< OutT, InT >, mlx::steel::TransformAxpby< OutT, InT >, mlx::steel::TransformNone< OutT, InT >
    • +
  • apply_epilogue() : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • +
  • apply_epilogue_safe() : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • Arange() : mlx::core::Arange
  • ArcCos() : mlx::core::ArcCos
  • ArcCosh() : mlx::core::ArcCosh
    • diff --git a/docs/build/html/functions_func_b.html b/docs/build/html/functions_func_b.html index 3c83a2696..d7756da8d 100644 --- a/docs/build/html/functions_func_b.html +++ b/docs/build/html/functions_func_b.html @@ -81,6 +81,7 @@ $(function() {
  • BlockMaskedMM() : mlx::core::BlockMaskedMM
  • BlockMMA() : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • BlockSparseMM() : mlx::core::BlockSparseMM
    • +
  • BlockSparseQMM() : mlx::core::BlockSparseQMM
  • Broadcast() : mlx::core::Broadcast
  • Buffer() : mlx::core::allocator::Buffer
  • buffer() : mlx::core::array
    • diff --git a/docs/build/html/functions_func_c.html b/docs/build/html/functions_func_c.html index 5b6bb295c..bb3e9a6c9 100644 --- a/docs/build/html/functions_func_c.html +++ b/docs/build/html/functions_func_c.html @@ -76,6 +76,7 @@ $(function() {

    - c -

    diff --git a/docs/build/html/functions_i.html b/docs/build/html/functions_i.html index 70eb7d0fa..7d601d7ba 100644 --- a/docs/build/html/functions_i.html +++ b/docs/build/html/functions_i.html @@ -95,7 +95,7 @@ $(function() {
  • iS : MLXConvParams< NDIM >
  • is_available() : mlx::core::array
  • is_donatable() : mlx::core::array
    • -
  • is_equivalent() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::fast::ScaledDotProductAttention, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::Uniform
    • +
  • is_equivalent() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::fast::ScaledDotProductAttention, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::Uniform
  • is_open() : mlx::core::io::FileReader, mlx::core::io::FileWriter, mlx::core::io::Reader, mlx::core::io::Writer
  • is_ready() : pocketfft::detail::threading::latch
  • is_tracer() : mlx::core::array
    • diff --git a/docs/build/html/functions_j.html b/docs/build/html/functions_j.html index a0c1ec1af..8657cd14e 100644 --- a/docs/build/html/functions_j.html +++ b/docs/build/html/functions_j.html @@ -77,7 +77,7 @@ $(function() {
  • jump_a : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • jump_b : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • jump_params : mlx::steel::Conv2DInputBlockLoaderGeneral< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoaderGeneral< T, BM, BN, BK, tgp_size, tgp_padding >
    • -
  • jvp() : mlx::core::Abs, mlx::core::Add, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::AsStrided, mlx::core::AsType, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::Custom, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose
    • +
  • jvp() : mlx::core::Abs, mlx::core::Add, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::Custom, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose
    • diff --git a/docs/build/html/functions_p.html b/docs/build/html/functions_p.html index 0475a32f5..d581b8645 100644 --- a/docs/build/html/functions_p.html +++ b/docs/build/html/functions_p.html @@ -85,7 +85,7 @@ $(function() {
  • Primitive() : mlx::core::Primitive
  • primitive_id() : mlx::core::array
  • primitive_ptr() : mlx::core::array
    • -
  • print() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::PrintFormatter, mlx::core::QRF, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::Uniform
    • +
  • print() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::Arange, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Cholesky, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Load, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::PrintFormatter, mlx::core::QRF, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::Uniform
  • Prod : mlx::core::Reduce, mlx::core::Scan, mlx::core::Scatter
  • prod() : pocketfft::detail::util
  • ptr() : mlx::core::allocator::Buffer
    • diff --git a/docs/build/html/functions_t.html b/docs/build/html/functions_t.html index 90c7cbe9a..f0e8fd5b0 100644 --- a/docs/build/html/functions_t.html +++ b/docs/build/html/functions_t.html @@ -99,8 +99,8 @@ $(function() {
  • tile_stride_b : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • tiles_m : mlx::steel::GEMMParams, mlx::steel::GEMMSpiltKParams, mlx::steel::ImplicitGemmConv2DParams
  • tiles_n : mlx::steel::GEMMParams, mlx::steel::GEMMSpiltKParams, mlx::steel::ImplicitGemmConv2DParams
    • -
  • tm : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • TM : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • +
  • tm : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • TM_stride : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • tn : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • TN : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • diff --git a/docs/build/html/functions_v.html b/docs/build/html/functions_v.html index 786549f12..801da911d 100644 --- a/docs/build/html/functions_v.html +++ b/docs/build/html/functions_v.html @@ -83,8 +83,8 @@ $(function() {
  • value_type : mlx::core::array::ArrayIterator, pocketfft::detail::threading::aligned_allocator< T >
  • vec_size : mlx::steel::BlockLoader< T, BROWS, BCOLS, dst_ld, reduction_dim, tgp_size, alignment, n_reads, TCOLS, TROWS >, mlx::steel::ChannelHelper< n_channels_ >, mlx::steel::ChannelHelper< 1 >, mlx::steel::ChannelHelper< 2 >, mlx::steel::ChannelHelper< 3 >, mlx::steel::ChannelHelper< 4 >, mlx::steel::Conv2DInputBlockLoaderGeneral< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DInputBlockLoaderLargeFilter< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DInputBlockLoaderSmallChannels< T, BM, BN, BK, tgp_size, n_channels, tgp_padding >, mlx::steel::Conv2DInputBlockLoaderSmallFilter< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoader< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoaderGeneral< T, BM, BN, BK, tgp_size, tgp_padding >, mlx::steel::Conv2DWeightBlockLoaderSmallChannels< T, BM, BN, BK, tgp_size, n_channels, tgp_padding >
  • vectorDescriptor() : MPS::VectorDescriptor
    • -
  • vjp() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::Custom, mlx::core::fast::LayerNorm, mlx::core::fast::RMSNorm, mlx::core::fast::RoPE, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose
    • -
  • vmap() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::Custom, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::Uniform
    • +
  • vjp() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::AsStrided, mlx::core::AsType, mlx::core::BlockMaskedMM, mlx::core::BlockSparseMM, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Convolution, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::CustomVJP, mlx::core::Depends, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::Custom, mlx::core::fast::LayerNorm, mlx::core::fast::RMSNorm, mlx::core::fast::RoPE, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Scatter, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::Subtract, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose
    • +
  • vmap() : mlx::core::Abs, mlx::core::Add, mlx::core::AddMM, mlx::core::ArcCos, mlx::core::ArcCosh, mlx::core::ArcSin, mlx::core::ArcSinh, mlx::core::ArcTan2, mlx::core::ArcTan, mlx::core::ArcTanh, mlx::core::ArgPartition, mlx::core::ArgReduce, mlx::core::ArgSort, mlx::core::AsType, mlx::core::BitwiseBinary, mlx::core::BlockSparseQMM, mlx::core::Broadcast, mlx::core::Ceil, mlx::core::Cholesky, mlx::core::Compiled, mlx::core::Concatenate, mlx::core::Conjugate, mlx::core::Copy, mlx::core::Cos, mlx::core::Cosh, mlx::core::Divide, mlx::core::DivMod, mlx::core::Equal, mlx::core::Erf, mlx::core::ErfInv, mlx::core::Exp, mlx::core::Expm1, mlx::core::fast::Custom, mlx::core::FFT, mlx::core::Floor, mlx::core::Full, mlx::core::Gather, mlx::core::Greater, mlx::core::GreaterEqual, mlx::core::Inverse, mlx::core::Less, mlx::core::LessEqual, mlx::core::Log1p, mlx::core::Log, mlx::core::LogAddExp, mlx::core::LogicalAnd, mlx::core::LogicalNot, mlx::core::LogicalOr, mlx::core::Matmul, mlx::core::Maximum, mlx::core::Minimum, mlx::core::Multiply, mlx::core::Negative, mlx::core::NotEqual, mlx::core::NumberOfElements, mlx::core::Pad, mlx::core::Partition, mlx::core::Power, mlx::core::Primitive, mlx::core::QuantizedMatmul, mlx::core::RandomBits, mlx::core::Reduce, mlx::core::Remainder, mlx::core::Reshape, mlx::core::Round, mlx::core::Scan, mlx::core::Select, mlx::core::Sigmoid, mlx::core::Sign, mlx::core::Sin, mlx::core::Sinh, mlx::core::Slice, mlx::core::SliceUpdate, mlx::core::Softmax, mlx::core::Sort, mlx::core::Split, mlx::core::Sqrt, mlx::core::Square, mlx::core::StopGradient, mlx::core::Subtract, mlx::core::SVD, mlx::core::Tan, mlx::core::Tanh, mlx::core::Transpose, mlx::core::Uniform
    • diff --git a/docs/build/html/functions_vars_t.html b/docs/build/html/functions_vars_t.html index 3b6040778..8cd202b1b 100644 --- a/docs/build/html/functions_vars_t.html +++ b/docs/build/html/functions_vars_t.html @@ -88,8 +88,8 @@ $(function() {
  • tile_stride_b : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • tiles_m : mlx::steel::GEMMParams, mlx::steel::GEMMSpiltKParams, mlx::steel::ImplicitGemmConv2DParams
  • tiles_n : mlx::steel::GEMMParams, mlx::steel::GEMMSpiltKParams, mlx::steel::ImplicitGemmConv2DParams
    • -
  • tm : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • TM : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • +
  • tm : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • TM_stride : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • tn : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
  • TN : mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    • diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index f7fe3ca9e..3b58c2384 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -7,7 +7,7 @@ - Index — MLX 0.13.0 documentation + Index — MLX 0.13.1 documentation @@ -35,7 +35,7 @@ - + @@ -128,8 +128,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -243,6 +243,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -815,6 +824,8 @@ document.write(`
  • add() (in module mlx.core)
  • addmm (C++ function) +
    • +
  • addmm() (in module mlx.core)
  • ALiBi (class in mlx.nn)
    • @@ -909,6 +920,8 @@ document.write(`
  • array_equal() (in module mlx.core)
  • as_strided (C++ function) +
    • +
  • as_strided() (in module mlx.core)
  • astype (C++ function)
    • @@ -965,6 +978,8 @@ document.write(`
  • block_sparse_mm (C++ function)
  • block_sparse_mm() (in module mlx.core) +
    • +
  • block_sparse_qmm (C++ function)
  • broadcast_arrays (C++ function)
    • @@ -985,6 +1000,8 @@ document.write(`
  • ceil() (in module mlx.core)
  • children() (Module method) +
    • +
  • cholesky() (in module mlx.core.linalg)
  • clear_cache() (in module mlx.core.metal)
    • @@ -1020,10 +1037,14 @@ document.write(`
  • conv2d() (in module mlx.core)
    • -
  • conv_general (C++ function), [1] +
  • conv3d (C++ function) +
    • +
  • Conv3d (class in mlx.nn)
    • - - + +
  • svd() (in module mlx.core.linalg) +
  • swapaxes (C++ function)
  • swapaxes() (array method) diff --git a/docs/build/html/group__ops.html b/docs/build/html/group__ops.html index 8bae2068f..ad56fc697 100644 --- a/docs/build/html/group__ops.html +++ b/docs/build/html/group__ops.html @@ -769,6 +769,9 @@ Functions array mlx::core::conv2d (const array &input, const array &weight, const std::pair< int, int > &stride={1, 1}, const std::pair< int, int > &padding={0, 0}, const std::pair< int, int > &dilation={1, 1}, int groups=1, StreamOrDevice s={})  2D convolution with a filter
      +array mlx::core::conv3d (const array &input, const array &weight, const std::tuple< int, int, int > &stride={1, 1, 1}, const std::tuple< int, int, int > &padding={0, 0, 0}, const std::tuple< int, int, int > &dilation={1, 1, 1}, int groups=1, StreamOrDevice s={}) + 3D convolution with a filter
    +  array mlx::core::quantized_matmul (const array &x, const array &w, const array &scales, const array &biases, bool transpose=true, int group_size=64, int bits=4, StreamOrDevice s={})  Quantized matmul multiplies x with a quantized matrix w.
      @@ -778,6 +781,9 @@ Functions array mlx::core::dequantize (const array &w, const array &scales, const array &biases, int group_size=64, int bits=4, StreamOrDevice s={})  Dequantize a matrix produced by quantize()
      +array mlx::core::block_sparse_qmm (const array &x, const array &w, const array &scales, const array &biases, std::optional< array > lhs_indices=std::nullopt, std::optional< array > rhs_indices=std::nullopt, bool transpose=true, int group_size=64, int bits=4, StreamOrDevice s={}) + Compute matrix products with matrix-level gather.
    +  array mlx::core::tensordot (const array &a, const array &b, const int axis=2, StreamOrDevice s={})  Returns a contraction of a and b over multiple dimensions.
      @@ -2378,6 +2384,69 @@ Functions

    Compute matrix product with matrix-level gather.

    + + + +

    ◆ block_sparse_qmm()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    array mlx::core::block_sparse_qmm (const array & x,
    const array & w,
    const array & scales,
    const array & biases,
    std::optional< array > lhs_indices = std::nullopt,
    std::optional< array > rhs_indices = std::nullopt,
    bool transpose = true,
    int group_size = 64,
    int bits = 4,
    StreamOrDevice s = {} )
    +
    + +

    Compute matrix products with matrix-level gather.

    +
    @@ -2651,6 +2720,54 @@ Functions

    2D convolution with a filter

    + + + +

    ◆ conv3d()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    array mlx::core::conv3d (const array & input,
    const array & weight,
    const std::tuple< int, int, int > & stride = {1, 1, 1},
    const std::tuple< int, int, int > & padding = {0, 0, 0},
    const std::tuple< int, int, int > & dilation = {1, 1, 1},
    int groups = 1,
    StreamOrDevice s = {} )
    +
    + +

    3D convolution with a filter

    +
    diff --git a/docs/build/html/hierarchy.html b/docs/build/html/hierarchy.html index ece2f6176..1b2cdec32 100644 --- a/docs/build/html/hierarchy.html +++ b/docs/build/html/hierarchy.html @@ -295,71 +295,73 @@ $(function() {  Cmlx::core::BitwiseBinary  Cmlx::core::BlockMaskedMM  Cmlx::core::BlockSparseMM - Cmlx::core::Broadcast - Cmlx::core::Ceil - Cmlx::core::Concatenate - Cmlx::core::Conjugate - Cmlx::core::Convolution - Cmlx::core::Copy - Cmlx::core::Cos - Cmlx::core::Cosh - Cmlx::core::Divide - Cmlx::core::Equal - Cmlx::core::Erf - Cmlx::core::ErfInv - Cmlx::core::Exp - Cmlx::core::Expm1 - Cmlx::core::FFT - Cmlx::core::Floor - Cmlx::core::Full - Cmlx::core::Gather - Cmlx::core::Greater - Cmlx::core::GreaterEqual - Cmlx::core::Inverse - Cmlx::core::Less - Cmlx::core::LessEqual - Cmlx::core::Load - Cmlx::core::Log - Cmlx::core::Log1p - Cmlx::core::LogAddExp - Cmlx::core::LogicalAnd - Cmlx::core::LogicalNot - Cmlx::core::LogicalOr - Cmlx::core::Matmul - Cmlx::core::Maximum - Cmlx::core::Minimum - Cmlx::core::Multiply - Cmlx::core::Negative - Cmlx::core::NotEqual - Cmlx::core::NumberOfElements - Cmlx::core::Pad - Cmlx::core::Partition - Cmlx::core::Power - Cmlx::core::QuantizedMatmul - Cmlx::core::RandomBits - Cmlx::core::Reduce - Cmlx::core::Remainder - Cmlx::core::Reshape - Cmlx::core::Round - Cmlx::core::Scan - Cmlx::core::Scatter - Cmlx::core::Select - Cmlx::core::Sigmoid - Cmlx::core::Sign - Cmlx::core::Sin - Cmlx::core::Sinh - Cmlx::core::Slice - Cmlx::core::SliceUpdate - Cmlx::core::Softmax - Cmlx::core::Sort - Cmlx::core::Sqrt - Cmlx::core::Square - Cmlx::core::StopGradient - Cmlx::core::Subtract - Cmlx::core::Tan - Cmlx::core::Tanh - Cmlx::core::Transpose - Cmlx::core::Uniform + Cmlx::core::BlockSparseQMM + Cmlx::core::Broadcast + Cmlx::core::Ceil + Cmlx::core::Cholesky + Cmlx::core::Concatenate + Cmlx::core::Conjugate + Cmlx::core::Convolution + Cmlx::core::Copy + Cmlx::core::Cos + Cmlx::core::Cosh + Cmlx::core::Divide + Cmlx::core::Equal + Cmlx::core::Erf + Cmlx::core::ErfInv + Cmlx::core::Exp + Cmlx::core::Expm1 + Cmlx::core::FFT + Cmlx::core::Floor + Cmlx::core::Full + Cmlx::core::Gather + Cmlx::core::Greater + Cmlx::core::GreaterEqual + Cmlx::core::Inverse + Cmlx::core::Less + Cmlx::core::LessEqual + Cmlx::core::Load + Cmlx::core::Log + Cmlx::core::Log1p + Cmlx::core::LogAddExp + Cmlx::core::LogicalAnd + Cmlx::core::LogicalNot + Cmlx::core::LogicalOr + Cmlx::core::Matmul + Cmlx::core::Maximum + Cmlx::core::Minimum + Cmlx::core::Multiply + Cmlx::core::Negative + Cmlx::core::NotEqual + Cmlx::core::NumberOfElements + Cmlx::core::Pad + Cmlx::core::Partition + Cmlx::core::Power + Cmlx::core::QuantizedMatmul + Cmlx::core::RandomBits + Cmlx::core::Reduce + Cmlx::core::Remainder + Cmlx::core::Reshape + Cmlx::core::Round + Cmlx::core::Scan + Cmlx::core::Scatter + Cmlx::core::Select + Cmlx::core::Sigmoid + Cmlx::core::Sign + Cmlx::core::Sin + Cmlx::core::Sinh + Cmlx::core::Slice + Cmlx::core::SliceUpdate + Cmlx::core::Softmax + Cmlx::core::Sort + Cmlx::core::Sqrt + Cmlx::core::Square + Cmlx::core::StopGradient + Cmlx::core::Subtract + Cmlx::core::Tan + Cmlx::core::Tanh + Cmlx::core::Transpose + Cmlx::core::Uniform  ►Cmlx::core::fast::Custom  Cmlx::core::fast::LayerNorm  Cmlx::core::fast::LayerNormVJP diff --git a/docs/build/html/index.html b/docs/build/html/index.html index e97ca1e75..7e8403c53 100644 --- a/docs/build/html/index.html +++ b/docs/build/html/index.html @@ -8,7 +8,7 @@ - MLX — MLX 0.13.0 documentation + MLX — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -130,8 +130,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -245,6 +245,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -867,7 +876,7 @@ are the CPU and GPU.

    Further Reading

    diff --git a/docs/build/html/install.html b/docs/build/html/install.html index b278367c2..458329dda 100644 --- a/docs/build/html/install.html +++ b/docs/build/html/install.html @@ -8,7 +8,7 @@ - Build and Install — MLX 0.13.0 documentation + Build and Install — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -794,7 +803,10 @@ document.write(`
  • Build from source
    • diff --git a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.exponential_decay.html b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.exponential_decay.html index 401838130..f1b145ad0 100644 --- a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.exponential_decay.html +++ b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.exponential_decay.html @@ -8,7 +8,7 @@ - mlx.optimizers.exponential_decay — MLX 0.13.0 documentation + mlx.optimizers.exponential_decay — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.join_schedules.html b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.join_schedules.html index 559cd4c7c..83a04b57a 100644 --- a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.join_schedules.html +++ b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.join_schedules.html @@ -8,7 +8,7 @@ - mlx.optimizers.join_schedules — MLX 0.13.0 documentation + mlx.optimizers.join_schedules — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -132,8 +132,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -247,6 +247,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.linear_schedule.html b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.linear_schedule.html index a376e2e1c..50a003a98 100644 --- a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.linear_schedule.html +++ b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.linear_schedule.html @@ -8,7 +8,7 @@ - mlx.optimizers.linear_schedule — MLX 0.13.0 documentation + mlx.optimizers.linear_schedule — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.step_decay.html b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.step_decay.html index 0316769f3..744c61429 100644 --- a/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.step_decay.html +++ b/docs/build/html/python/optimizers/_autosummary/mlx.optimizers.step_decay.html @@ -8,7 +8,7 @@ - mlx.optimizers.step_decay — MLX 0.13.0 documentation + mlx.optimizers.step_decay — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/optimizers/common_optimizers.html b/docs/build/html/python/optimizers/common_optimizers.html index aa247043d..d9354eb26 100644 --- a/docs/build/html/python/optimizers/common_optimizers.html +++ b/docs/build/html/python/optimizers/common_optimizers.html @@ -8,7 +8,7 @@ - Common Optimizers — MLX 0.13.0 documentation + Common Optimizers — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/optimizers/optimizer.html b/docs/build/html/python/optimizers/optimizer.html index faf272f2e..e2b75453a 100644 --- a/docs/build/html/python/optimizers/optimizer.html +++ b/docs/build/html/python/optimizers/optimizer.html @@ -8,7 +8,7 @@ - Optimizer — MLX 0.13.0 documentation + Optimizer — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/optimizers/schedulers.html b/docs/build/html/python/optimizers/schedulers.html index cb9a72de8..1e87d86b6 100644 --- a/docs/build/html/python/optimizers/schedulers.html +++ b/docs/build/html/python/optimizers/schedulers.html @@ -8,7 +8,7 @@ - Schedulers — MLX 0.13.0 documentation + Schedulers — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    @@ -793,7 +802,7 @@ document.write(`

    Schedulers#

    - + diff --git a/docs/build/html/python/random.html b/docs/build/html/python/random.html index 7e4db2c7d..74f12fa10 100644 --- a/docs/build/html/python/random.html +++ b/docs/build/html/python/random.html @@ -8,7 +8,7 @@ - Random — MLX 0.13.0 documentation + Random — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/transforms.html b/docs/build/html/python/transforms.html index 70b284187..22897d7e1 100644 --- a/docs/build/html/python/transforms.html +++ b/docs/build/html/python/transforms.html @@ -8,7 +8,7 @@ - Transforms — MLX 0.13.0 documentation + Transforms — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/python/tree_utils.html b/docs/build/html/python/tree_utils.html index 6e21c34b3..66561308d 100644 --- a/docs/build/html/python/tree_utils.html +++ b/docs/build/html/python/tree_utils.html @@ -8,7 +8,7 @@ - Tree Utils — MLX 0.13.0 documentation + Tree Utils — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/reduce__inst_8h.html b/docs/build/html/reduce__inst_8h.html index 511a0e224..3586487b4 100644 --- a/docs/build/html/reduce__inst_8h.html +++ b/docs/build/html/reduce__inst_8h.html @@ -101,7 +101,7 @@ Macros
    • - + @@ -172,7 +172,7 @@ Macros - +

    cosine_decay(init, decay_steps[, minimum])

    cosine_decay(init, decay_steps[, end])

    Make a cosine decay scheduler.

    exponential_decay(init, decay_rate)
     
    #define instantiate_reduce_ops(inst_f, type_f)
     
    #define instantiate_reduce_from_types_helper(inst_f, name, tname, itype, otype, op)    inst_f(name##tname, itype, otype, op)
    #define instantiate_reduce_from_types_helper(inst_f, name, tname, itype, otype, op)    inst_f(name##tname, itype, otype, op)
     
    #define instantiate_reduce_from_types(inst_f, name, otype, op)
     
    op )    inst_f(name##tname, itype, otype, op) op )    inst_f(name##tname, itype, otype, op)
    @@ -229,7 +229,7 @@ Macros
    Value:
    inst_f(name, float16, half, op) inst_f(name, float32, float, op) \
    -
    inst_f(name, bfloat16, bfloat16_t, op)
    +
    inst_f(name, bfloat16, bfloat16_t, op)
    op
    Op op
    Definition binary.h:139
    _MLX_BFloat16
    Definition bf16.h:54
    @@ -259,7 +259,7 @@ Macros
    Value:
    inst_f(name, int8, int8_t, op) inst_f(name, int16, int16_t, op) \
    -
    inst_f(name, int32, int32_t, op)
    +
    inst_f(name, int32, int32_t, op)
    @@ -287,9 +287,9 @@ Macros
    Value:
    instantiate_reduce_helper_floats(inst_f, name, op) \
    -
    instantiate_reduce_helper_uints(inst_f, name, op) \
    -
    instantiate_reduce_helper_ints(inst_f, name, op)
    -
    instantiate_reduce_helper_floats
    #define instantiate_reduce_helper_floats(inst_f, name, op)
    Definition reduce_inst.h:11
    +
    instantiate_reduce_helper_uints(inst_f, name, op) \
    +
    instantiate_reduce_helper_ints(inst_f, name, op)
    +
    instantiate_reduce_helper_floats
    #define instantiate_reduce_helper_floats(inst_f, name, op)
    Definition reduce_inst.h:12
    @@ -317,7 +317,7 @@ Macros
    Value:
    inst_f(name, uint8, uint8_t, op) inst_f(name, uint16, uint16_t, op) \
    -
    inst_f(name, uint32, uint32_t, op)
    +
    inst_f(name, uint32, uint32_t, op)
    @@ -340,7 +340,7 @@ Macros
    Value:
    type_f(inst_f, sum, Sum) type_f(inst_f, prod, Prod) \
    -
    type_f(inst_f, min_, Min) type_f(inst_f, max_, Max)
    +
    type_f(inst_f, min_, Min) type_f(inst_f, max_, Max)
    Max
    Definition ops.h:159
    Min
    Definition ops.h:139
    Prod
    Definition ops.h:119
    diff --git a/docs/build/html/reduce__inst_8h_source.html b/docs/build/html/reduce__inst_8h_source.html index 8ed4d5669..5e3baea91 100644 --- a/docs/build/html/reduce__inst_8h_source.html +++ b/docs/build/html/reduce__inst_8h_source.html @@ -93,81 +93,84 @@ $(function() { codefold.init(0); });
    8#include "mlx/backend/metal/kernels/defines.h"
    9#include "mlx/backend/metal/kernels/reduction/ops.h"
    10
    -
    -
    11#define instantiate_reduce_helper_floats(inst_f, name, op) \
    -
    12 inst_f(name, float16, half, op) inst_f(name, float32, float, op) \
    -
    13 inst_f(name, bfloat16, bfloat16_t, op)
    +
    11// clang-format off
    +
    +
    12#define instantiate_reduce_helper_floats(inst_f, name, op) \
    +
    13 inst_f(name, float16, half, op) inst_f(name, float32, float, op) \
    +
    14 inst_f(name, bfloat16, bfloat16_t, op)
    -
    14
    -
    -
    15#define instantiate_reduce_helper_uints(inst_f, name, op) \
    -
    16 inst_f(name, uint8, uint8_t, op) inst_f(name, uint16, uint16_t, op) \
    -
    17 inst_f(name, uint32, uint32_t, op)
    +
    15
    +
    +
    16#define instantiate_reduce_helper_uints(inst_f, name, op) \
    +
    17 inst_f(name, uint8, uint8_t, op) inst_f(name, uint16, uint16_t, op) \
    +
    18 inst_f(name, uint32, uint32_t, op)
    -
    18
    -
    -
    19#define instantiate_reduce_helper_ints(inst_f, name, op) \
    -
    20 inst_f(name, int8, int8_t, op) inst_f(name, int16, int16_t, op) \
    -
    21 inst_f(name, int32, int32_t, op)
    +
    19
    +
    +
    20#define instantiate_reduce_helper_ints(inst_f, name, op) \
    +
    21 inst_f(name, int8, int8_t, op) inst_f(name, int16, int16_t, op) \
    +
    22 inst_f(name, int32, int32_t, op)
    -
    22
    -
    -
    23#define instantiate_reduce_helper_64b(inst_f, name, op) \
    -
    24 inst_f(name, int64, int64_t, op) inst_f(name, uint64, uint64_t, op)
    +
    23
    +
    +
    24#define instantiate_reduce_helper_64b(inst_f, name, op) \
    +
    25 inst_f(name, int64, int64_t, op) inst_f(name, uint64, uint64_t, op)
    -
    25
    -
    -
    26#define instantiate_reduce_helper_types(inst_f, name, op) \
    -
    27 instantiate_reduce_helper_floats(inst_f, name, op) \
    -
    28 instantiate_reduce_helper_uints(inst_f, name, op) \
    -
    29 instantiate_reduce_helper_ints(inst_f, name, op)
    +
    26
    +
    +
    27#define instantiate_reduce_helper_types(inst_f, name, op) \
    +
    28 instantiate_reduce_helper_floats(inst_f, name, op) \
    +
    29 instantiate_reduce_helper_uints(inst_f, name, op) \
    +
    30 instantiate_reduce_helper_ints(inst_f, name, op)
    -
    30
    -
    -
    31#define instantiate_reduce_ops(inst_f, type_f) \
    -
    32 type_f(inst_f, sum, Sum) type_f(inst_f, prod, Prod) \
    -
    33 type_f(inst_f, min_, Min) type_f(inst_f, max_, Max)
    +
    31
    +
    +
    32#define instantiate_reduce_ops(inst_f, type_f) \
    +
    33 type_f(inst_f, sum, Sum) type_f(inst_f, prod, Prod) \
    +
    34 type_f(inst_f, min_, Min) type_f(inst_f, max_, Max)
    -
    34
    -
    35// Special case for bool reductions
    -
    36#define instantiate_reduce_from_types_helper( \
    -
    37 inst_f, name, tname, itype, otype, op) \
    -
    38 inst_f(name##tname, itype, otype, op)
    -
    39
    -
    -
    40#define instantiate_reduce_from_types(inst_f, name, otype, op) \
    -
    41 instantiate_reduce_from_types_helper(inst_f, name, bool_, bool, otype, op) \
    -
    42 instantiate_reduce_from_types_helper( \
    -
    43 inst_f, name, uint8, uint8_t, otype, op) \
    -
    44 instantiate_reduce_from_types_helper( \
    -
    45 inst_f, name, uint16, uint16_t, otype, op) \
    -
    46 instantiate_reduce_from_types_helper( \
    -
    47 inst_f, name, uint32, uint32_t, otype, op) \
    -
    48 instantiate_reduce_from_types_helper( \
    -
    49 inst_f, name, int8, int8_t, otype, op) \
    -
    50 instantiate_reduce_from_types_helper( \
    -
    51 inst_f, name, int16, int16_t, otype, op) \
    -
    52 instantiate_reduce_from_types_helper( \
    -
    53 inst_f, name, int32, int32_t, otype, op) \
    -
    54 instantiate_reduce_from_types_helper( \
    -
    55 inst_f, name, int64, int64_t, otype, op) \
    -
    56 instantiate_reduce_from_types_helper( \
    -
    57 inst_f, name, float16, half, otype, op) \
    -
    58 instantiate_reduce_from_types_helper( \
    -
    59 inst_f, \
    -
    60 name, \
    -
    61 float32, \
    -
    62 float, \
    -
    63 otype, \
    -
    64 op) \
    -
    65 instantiate_reduce_from_types_helper( \
    -
    66 inst_f, \
    -
    67 name, \
    -
    68 bfloat16, \
    -
    69 bfloat16_t, \
    -
    70 otype, \
    -
    71 op)
    +
    35
    +
    36// Special case for bool reductions
    +
    37#define instantiate_reduce_from_types_helper( \
    +
    38 inst_f, name, tname, itype, otype, op) \
    +
    39 inst_f(name##tname, itype, otype, op)
    +
    40
    +
    +
    41#define instantiate_reduce_from_types(inst_f, name, otype, op) \
    +
    42 instantiate_reduce_from_types_helper( \
    +
    43 inst_f, name, bool_, bool, otype, op) \
    +
    44 instantiate_reduce_from_types_helper( \
    +
    45 inst_f, name, uint8, uint8_t, otype, op) \
    +
    46 instantiate_reduce_from_types_helper( \
    +
    47 inst_f, name, uint16, uint16_t, otype, op) \
    +
    48 instantiate_reduce_from_types_helper( \
    +
    49 inst_f, name, uint32, uint32_t, otype, op) \
    +
    50 instantiate_reduce_from_types_helper( \
    +
    51 inst_f, name, int8, int8_t, otype, op) \
    +
    52 instantiate_reduce_from_types_helper( \
    +
    53 inst_f, name, int16, int16_t, otype, op) \
    +
    54 instantiate_reduce_from_types_helper( \
    +
    55 inst_f, name, int32, int32_t, otype, op) \
    +
    56 instantiate_reduce_from_types_helper( \
    +
    57 inst_f, name, int64, int64_t, otype, op) \
    +
    58 instantiate_reduce_from_types_helper( \
    +
    59 inst_f, name, float16, half, otype, op) \
    +
    60 instantiate_reduce_from_types_helper( \
    +
    61 inst_f, \
    +
    62 name, \
    +
    63 float32, \
    +
    64 float, \
    +
    65 otype, \
    +
    66 op) \
    +
    67 instantiate_reduce_from_types_helper( \
    +
    68 inst_f, \
    +
    69 name, \
    +
    70 bfloat16, \
    +
    71 bfloat16_t, \
    +
    72 otype, \
    +
    73 op)
    +
    74// clang-format on
    diff --git a/docs/build/html/search.html b/docs/build/html/search.html index 2bab47eba..d726ecb1c 100644 --- a/docs/build/html/search.html +++ b/docs/build/html/search.html @@ -6,7 +6,7 @@ - Search - MLX 0.13.0 documentation + Search - MLX 0.13.1 documentation @@ -34,7 +34,7 @@ - + @@ -130,8 +130,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home +
    @@ -245,6 +245,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/search/all_1.js b/docs/build/html/search/all_1.js index 693cbd4be..3ca3331b6 100644 --- a/docs/build/html/search/all_1.js +++ b/docs/build/html/search/all_1.js @@ -28,15 +28,15 @@ var searchData= ['alloc_25',['alloc',['../class_m_p_s_1_1_matrix.html#a906d97b4b2365bec4acf278ef22205b4',1,'MPS::Matrix::alloc()'],['../class_m_p_s_1_1_matrix_multiplication.html#a9f1400b36672bd6f228a80982e5b2717',1,'MPS::MatrixMultiplication::alloc()'],['../class_m_p_s_1_1_vector.html#ac08919c16342247963b14766e65332a3',1,'MPS::Vector::alloc()'],['../class_m_p_s_1_1_matrix_vector_multiplication.html#aeca798759333aae7fdd594835e93d16a',1,'MPS::MatrixVectorMultiplication::alloc()']]], ['alloc_5ftmp_26',['alloc_tmp',['../namespacepocketfft_1_1detail.html#a4db03cbcd9d43d9e0b0b9067713c80e9',1,'pocketfft::detail::alloc_tmp(const shape_t &shape, size_t axsize, size_t 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100, 101, 102, 106, 119, 123, 141, 152, 156, 164, 172, 194, 198, 229, 236, 237, 247, 254, 255, 256, 262, 277, 281, 289, 290, 291, 292, 293, 303, 316, 321, 322, 325, 332, 335, 336, 337, 338, 344, 345, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 383, 384, 385, 387, 388, 389, 390, 394, 408, 409, 413, 415], "graph": [1, 4, 5, 6, 409], "provid": [1, 4, 106, 141, 247, 254, 265, 267, 277, 298, 303, 305, 315, 316, 317, 320, 321, 332, 333, 377, 381, 414, 416], "rule": 1, "evalu": [1, 4, 5, 6, 116, 152, 256, 277, 301, 312, 381, 383, 408, 413], "start": [0, 1, 3, 4, 6, 7, 16, 123, 158, 183, 231, 267, 408, 410, 415], "discuss": 1, "more": [1, 2, 5, 9, 74, 85, 108, 169, 181, 182, 219, 220, 271, 277, 281, 285, 325, 329, 332, 333, 335, 336, 337, 338, 405, 408, 409, 410, 413, 415], "detail": [1, 9, 181, 277, 285, 325, 329, 333, 335, 336, 337, 338, 384, 386, 387, 389, 390, 410, 413], "ar": [0, 1, 3, 4, 5, 6, 7, 14, 16, 77, 84, 86, 88, 89, 95, 96, 108, 116, 120, 126, 127, 129, 130, 132, 133, 135, 136, 137, 141, 146, 147, 148, 149, 150, 151, 152, 156, 157, 159, 169, 182, 194, 195, 196, 198, 199, 201, 202, 203, 207, 210, 211, 221, 222, 234, 235, 243, 254, 256, 257, 261, 264, 265, 271, 281, 282, 283, 284, 285, 286, 290, 291, 293, 294, 305, 318, 321, 333, 351, 353, 354, 377, 381, 390, 392, 407, 408, 409, 410, 411, 412, 413, 414, 415], "front": 1, "thei": [1, 3, 4, 14, 96, 146, 327, 355, 381, 390, 407, 408, 411, 413, 414, 415], "defin": [1, 3, 4, 5, 7, 156, 199, 264, 412], "c": [0, 1, 4, 156, 279, 280, 281, 282, 283, 285, 286, 291, 292, 295, 296, 412, 413, 415], "api": [1, 409], "axpbi": 1, "scalar": [0, 1, 12, 14, 28, 47, 74, 77, 81, 82, 83, 84, 86, 88, 110, 111, 113, 139, 140, 141, 142, 143, 146, 153, 154, 155, 156, 158, 164, 165, 166, 167, 169, 171, 186, 188, 191, 195, 201, 207, 210, 211, 215, 219, 239, 254, 258, 262, 364, 409, 411, 413], "i": [0, 1, 2, 4, 5, 6, 7, 14, 16, 26, 35, 74, 85, 88, 93, 94, 95, 96, 99, 100, 101, 102, 107, 108, 111, 116, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 146, 151, 152, 156, 157, 159, 164, 168, 169, 173, 179, 182, 195, 196, 198, 199, 201, 202, 205, 206, 209, 210, 211, 214, 218, 219, 220, 225, 229, 231, 236, 237, 242, 243, 244, 247, 250, 254, 255, 256, 257, 258, 261, 263, 264, 265, 266, 267, 271, 277, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 302, 303, 309, 311, 312, 314, 315, 317, 318, 319, 321, 322, 323, 325, 329, 331, 332, 333, 337, 338, 343, 345, 351, 352, 354, 359, 360, 363, 364, 366, 371, 375, 381, 385, 388, 390, 391, 392, 397, 399, 400, 405, 408, 409, 410, 411, 412, 413, 414, 415, 416], "sum": [0, 1, 3, 12, 102, 145, 156, 168, 229, 247, 277, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 410, 412], "vector": [0, 1, 3, 6, 145, 152, 156, 243, 256, 257, 287, 353, 413], "element": [0, 1, 11, 12, 17, 18, 19, 20, 21, 22, 23, 26, 67, 81, 82, 83, 87, 97, 98, 99, 100, 101, 102, 106, 110, 111, 113, 114, 115, 117, 119, 120, 138, 139, 142, 143, 146, 147, 148, 149, 150, 153, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 171, 173, 186, 188, 189, 191, 196, 198, 199, 212, 213, 215, 217, 225, 226, 227, 228, 232, 233, 239, 243, 245, 246, 249, 254, 258, 284, 285, 286, 289, 292, 297, 319, 323, 325, 347, 349, 350, 365, 366, 368, 371, 372, 373, 408, 409], "wise": [0, 1, 11, 12, 17, 18, 19, 20, 21, 22, 23, 81, 82, 83, 87, 97, 98, 110, 111, 113, 114, 115, 117, 119, 138, 139, 142, 143, 146, 153, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 171, 186, 188, 189, 191, 212, 215, 217, 225, 226, 227, 228, 232, 233, 239, 245, 246, 285, 286, 297, 319, 347, 349, 350, 365, 366, 368, 371, 372, 373, 408], "follow": [1, 4, 5, 6, 7, 16, 85, 96, 106, 156, 198, 266, 277, 344, 345, 357, 384, 385, 386, 387, 388, 389, 390, 396, 405, 408, 409, 415], "numpi": [1, 4, 5, 6, 12, 14, 16, 81, 82, 83, 86, 110, 111, 113, 142, 143, 146, 153, 154, 155, 164, 169, 171, 186, 188, 191, 215, 239, 411, 413, 414], "style": [1, 12, 14, 81, 82, 83, 110, 111, 113, 142, 143, 146, 153, 154, 155, 164, 169, 171, 186, 188, 191, 215, 239], "broadcast": [0, 1, 12, 14, 81, 82, 83, 86, 88, 110, 111, 113, 140, 142, 143, 146, 153, 154, 155, 164, 169, 171, 186, 188, 191, 201, 202, 205, 210, 211, 215, 239, 244, 258, 318], "between": [0, 1, 6, 88, 137, 332, 352, 355, 356, 359, 399, 411, 415], "input": [0, 1, 3, 4, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 105, 107, 108, 110, 111, 113, 114, 115, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141, 142, 143, 145, 146, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 185, 186, 187, 188, 189, 191, 193, 194, 195, 196, 197, 198, 199, 200, 209, 212, 213, 214, 215, 216, 217, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 239, 240, 241, 243, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 255, 257, 258, 260, 279, 280, 281, 282, 283, 285, 286, 287, 289, 290, 291, 292, 293, 294, 295, 296, 318, 321, 322, 323, 325, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 346, 351, 352, 354, 355, 356, 357, 359, 360, 362, 364, 375, 378, 408, 409, 410, 413, 414], "upcast": 1, "const": [0, 1, 354], "factor": [1, 157, 333, 353, 398, 401], "streamordevic": [0, 1], "stream": [1, 6, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 60, 61, 62, 63, 64, 66, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 110, 111, 113, 114, 115, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 258, 259, 260, 415], "which": [1, 4, 5, 6, 7, 16, 35, 89, 95, 108, 116, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 141, 147, 148, 149, 150, 152, 156, 157, 159, 173, 183, 198, 202, 203, 213, 214, 218, 219, 220, 221, 222, 234, 235, 243, 254, 256, 257, 261, 280, 285, 286, 288, 296, 298, 302, 325, 353, 356, 360, 363, 378, 391, 392, 405, 408, 409, 410, 411, 415, 416], "schedul": [1, 182, 383, 397, 398, 399, 400, 401, 403, 415], "simplest": [1, 277], "wai": [1, 4, 7, 277, 333, 408, 409, 410], "term": [1, 354, 384, 385, 386, 387, 388, 389, 395], "exist": [1, 2, 4, 303, 315], "auto": [1, 7], "ax": [0, 1, 13, 15, 24, 25, 75, 118, 126, 127, 129, 130, 132, 133, 135, 136, 137, 145, 156, 168, 170, 172, 185, 195, 197, 229, 234, 236, 240, 241, 247, 250, 255, 409], "multipli": [0, 1, 36, 198, 199, 284, 329, 333], "themselv": [1, 408], "contain": [1, 4, 26, 27, 65, 85, 89, 108, 131, 132, 133, 156, 165, 166, 167, 198, 231, 258, 263, 277, 302, 304, 305, 311, 332, 360, 378, 381, 408, 409], "act": [1, 359], "data": [0, 1, 5, 6, 9, 16, 120, 134, 135, 140, 144, 158, 192, 210, 251, 259, 286, 334, 335, 336, 337, 338, 339, 340, 341, 408, 410, 412], "nor": [1, 141, 254], "rather": [1, 409, 415], "easi": [1, 277], "interfac": 1, "block": [0, 1, 4, 84, 332], "A": [0, 1, 4, 6, 7, 8, 65, 77, 89, 121, 122, 124, 141, 152, 156, 157, 159, 168, 169, 170, 175, 185, 198, 201, 202, 203, 205, 206, 207, 210, 211, 231, 235, 238, 254, 256, 257, 261, 262, 263, 264, 265, 266, 267, 268, 269, 277, 281, 285, 289, 290, 291, 293, 302, 306, 307, 310, 316, 317, 322, 327, 329, 332, 335, 336, 338, 345, 364, 365, 381, 383, 387, 389, 391, 392, 394, 399, 408, 409, 411, 412], "part": [1, 409, 410], "creat": [0, 1, 4, 7, 120, 144, 238, 277, 381, 383, 399, 408, 410, 412], "output": [0, 1, 4, 7, 13, 14, 15, 16, 26, 84, 86, 89, 99, 100, 101, 102, 120, 121, 122, 123, 124, 131, 134, 135, 136, 140, 141, 144, 146, 156, 158, 168, 170, 172, 173, 185, 192, 193, 196, 197, 201, 202, 203, 205, 206, 207, 210, 211, 221, 222, 229, 234, 236, 240, 244, 251, 254, 255, 256, 257, 258, 259, 260, 279, 280, 281, 282, 283, 291, 294, 295, 296, 318, 321, 331, 332, 333, 335, 336, 337, 338, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 375, 378, 408, 409, 410, 411, 412, 413, 414, 415], "given": [0, 1, 13, 15, 26, 36, 85, 86, 88, 90, 99, 100, 101, 102, 106, 108, 116, 118, 125, 126, 127, 128, 129, 130, 134, 135, 136, 140, 156, 168, 170, 172, 181, 185, 190, 197, 205, 207, 216, 224, 229, 231, 236, 240, 242, 248, 249, 251, 252, 253, 255, 269, 279, 280, 284, 295, 296, 302, 318, 352, 354, 360], "further": [1, 7, 409], "ha": [1, 2, 4, 5, 6, 74, 89, 108, 131, 132, 134, 135, 136, 141, 173, 177, 202, 281, 289, 292, 294, 323, 381, 383, 408, 410, 411, 413, 415], "method": [1, 4, 8, 9, 10, 28, 269, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 309, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 381, 384, 385, 386, 387, 388, 389, 390, 392, 395, 396, 403], "run": [1, 2, 4, 5, 6, 7, 8, 194, 269, 281, 298, 384, 385, 387, 388, 389, 408, 411, 415, 416], "our": [1, 4, 5, 327, 384, 385, 386, 387, 389, 390], "concret": [1, 289, 292, 294, 323, 411, 415], "class": [1, 4, 5, 8, 9, 10, 28, 269, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 381, 384, 385, 386, 387, 388, 389, 390, 395, 396, 403], "public": [1, 277], "explicit": [1, 392, 405, 412], "alpha_": 1, "beta_": 1, "must": [1, 2, 7, 84, 88, 140, 156, 201, 202, 205, 207, 210, 211, 258, 333, 412], "know": [1, 4], "itself": [1, 261, 392], "popul": 1, "To": [1, 2, 3, 4, 5, 7, 181, 277, 378, 408, 409, 413], "avoid": [1, 310, 408], "unnecessari": [1, 4], "alloc": [1, 177, 181, 182, 381], "respons": 1, "space": [0, 1, 158, 362], "void": 1, "eval_cpu": 1, "std": [0, 1, 340], "overrid": [1, 112], "eval_gpu": 1, "jacobian": [1, 152, 256, 413], "product": [0, 1, 101, 145, 152, 169, 194, 197, 247, 256, 318, 413], "primal": [1, 152, 256], "tangent": [0, 1, 21, 22, 23, 152, 245, 246, 376], "int": [0, 1, 4, 5, 8, 13, 15, 16, 24, 25, 26, 27, 31, 32, 33, 34, 38, 39, 40, 41, 42, 43, 46, 53, 54, 55, 56, 57, 60, 63, 65, 68, 71, 72, 73, 74, 76, 84, 86, 90, 93, 94, 95, 99, 100, 101, 102, 106, 107, 108, 118, 120, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 140, 141, 144, 151, 156, 158, 168, 170, 172, 175, 176, 177, 178, 181, 182, 185, 187, 192, 195, 196, 197, 198, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 216, 229, 230, 231, 234, 235, 236, 240, 241, 243, 244, 247, 248, 249, 250, 251, 252, 253, 254, 255, 257, 259, 261, 269, 277, 279, 280, 281, 282, 283, 287, 289, 290, 291, 292, 293, 294, 295, 296, 318, 320, 321, 322, 323, 325, 329, 332, 346, 352, 353, 357, 362, 364, 381, 397, 399, 400, 401], "argnum": [1, 141, 254, 409], "cotan": 1, "across": [1, 290], "pair": [0, 1, 195, 305, 325], "repres": [1, 4, 360, 364, 412], "axi": [0, 1, 4, 5, 13, 15, 24, 25, 26, 27, 31, 32, 33, 34, 38, 39, 40, 41, 53, 54, 55, 56, 60, 68, 71, 72, 76, 90, 99, 100, 101, 102, 108, 118, 121, 122, 125, 128, 131, 132, 133, 134, 135, 136, 137, 156, 168, 170, 172, 185, 187, 195, 196, 197, 202, 213, 229, 230, 231, 234, 235, 236, 240, 241, 243, 244, 248, 249, 250, 255, 257, 279, 280, 295, 296, 323, 346, 350, 352, 353, 357, 362, 364, 372, 410], "correspond": [0, 1, 13, 15, 74, 88, 106, 108, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 168, 170, 185, 197, 240, 247, 257, 265, 409], "dimens": [0, 1, 4, 13, 15, 24, 25, 59, 65, 74, 78, 79, 80, 85, 89, 94, 95, 108, 118, 123, 132, 133, 135, 136, 137, 145, 156, 157, 168, 169, 170, 172, 185, 197, 198, 202, 209, 236, 240, 244, 247, 250, 255, 281, 282, 283, 285, 286, 289, 290, 291, 292, 293, 318, 322, 323, 325, 332, 333, 346, 353, 408, 409], "virtual": 1, "vmap": [1, 409, 411, 413], "print": [1, 3, 4, 5, 7, 263, 264, 265, 266, 268, 277, 405, 408, 409, 410, 411, 412, 413], "ostream": 1, "o": [1, 7, 124, 292], "equival": [0, 1, 29, 62, 75, 111, 139, 243, 288, 317, 319, 321, 324, 326, 328, 330], "check": [1, 7, 77, 151, 179, 305, 409, 410], "bool": [0, 1, 13, 14, 15, 24, 25, 31, 32, 33, 34, 38, 39, 40, 41, 53, 54, 55, 56, 60, 72, 74, 76, 77, 89, 95, 99, 100, 101, 102, 123, 146, 151, 156, 159, 168, 170, 172, 173, 179, 182, 185, 197, 199, 236, 240, 255, 281, 282, 283, 289, 290, 291, 292, 293, 294, 298, 302, 303, 305, 310, 312, 315, 318, 321, 323, 325, 329, 332, 333, 351, 354, 385, 396], "is_equival": 1, "other": [0, 1, 4, 6, 151, 156, 277, 304, 381, 390, 408, 410, 411, 413], "privat": 1, "fall": 1, "eval": [1, 2, 3, 4, 5, 277, 381, 383, 408, 409, 411, 413], "out": [1, 7, 84, 279, 280, 285, 286, 295, 296, 312, 408, 409, 410], "deriv": [1, 409, 411], "from": [0, 1, 4, 5, 6, 85, 105, 106, 108, 132, 133, 135, 136, 140, 156, 159, 169, 173, 178, 181, 193, 198, 200, 201, 202, 203, 204, 207, 210, 221, 234, 237, 239, 243, 244, 249, 258, 260, 264, 265, 266, 267, 268, 277, 294, 303, 305, 318, 335, 336, 337, 338, 340, 341, 354, 363, 378, 407, 408, 409, 411, 412, 413, 414, 415], "base": [0, 1, 123, 156, 161, 163, 325, 332, 381, 383, 389, 403, 405, 408, 410], "treat": [0, 1, 132, 133, 135, 136, 243, 333, 408], "paramet": [1, 3, 4, 5, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 35, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 105, 106, 107, 108, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 181, 182, 183, 185, 186, 187, 188, 189, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 302, 303, 305, 310, 311, 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"_CPPv45zerosRKNSt6vectorIiEE5Dtype14StreamOrDevice"]], "zeros_like (c++ function)": [[0, "_CPPv410zeros_likeRK5array14StreamOrDevice"]], "device (class in mlx.core)": [[8, "mlx.core.Device"]], "__init__() (device method)": [[8, "mlx.core.Device.__init__"]], "dtype (class in mlx.core)": [[9, "mlx.core.Dtype"]], "__init__() (dtype method)": [[9, "mlx.core.Dtype.__init__"]], "dtypecategory (class in mlx.core)": [[10, "mlx.core.DtypeCategory"]], "__init__() (dtypecategory method)": [[10, "mlx.core.DtypeCategory.__init__"]], "abs() (in module mlx.core)": [[11, "mlx.core.abs"]], "add() (in module mlx.core)": [[12, "mlx.core.add"]], "all() (in module mlx.core)": [[13, "mlx.core.all"]], "allclose() (in module mlx.core)": [[14, "mlx.core.allclose"]], "any() (in module mlx.core)": [[15, "mlx.core.any"]], "arange() (in module mlx.core)": [[16, "mlx.core.arange"]], "arccos() (in module mlx.core)": [[17, "mlx.core.arccos"]], "arccosh() (in module mlx.core)": [[18, "mlx.core.arccosh"]], "arcsin() 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"mlx.core.ones_like": [[198, "mlx-core-ones-like"]], "mlx.core.outer": [[199, "mlx-core-outer"]], "mlx.core.pad": [[200, "mlx-core-pad"]], "mlx.core.partition": [[201, "mlx-core-partition"]], "mlx.core.power": [[202, "mlx-core-power"]], "mlx.core.prod": [[203, "mlx-core-prod"]], "mlx.core.quantize": [[204, "mlx-core-quantize"]], "mlx.core.quantized_matmul": [[205, "mlx-core-quantized-matmul"]], "mlx.core.radians": [[206, "mlx-core-radians"]], "mlx.core.reciprocal": [[218, "mlx-core-reciprocal"]], "mlx.core.remainder": [[219, "mlx-core-remainder"]], "mlx.core.repeat": [[220, "mlx-core-repeat"]], "mlx.core.reshape": [[221, "mlx-core-reshape"]], "mlx.core.right_shift": [[222, "mlx-core-right-shift"]], "mlx.core.round": [[223, "mlx-core-round"]], "mlx.core.rsqrt": [[224, "mlx-core-rsqrt"]], "mlx.core.save": [[225, "mlx-core-save"]], "mlx.core.save_gguf": [[226, "mlx-core-save-gguf"]], "mlx.core.save_safetensors": [[227, "mlx-core-save-safetensors"]], "mlx.core.savez": [[228, "mlx-core-savez"]], "mlx.core.savez_compressed": [[229, "mlx-core-savez-compressed"]], "mlx.core.set_default_device": [[230, "mlx-core-set-default-device"]], "mlx.core.set_default_stream": [[231, "mlx-core-set-default-stream"]], "mlx.core.sigmoid": [[232, "mlx-core-sigmoid"]], "mlx.core.sign": [[233, "mlx-core-sign"]], "mlx.core.sin": [[234, "mlx-core-sin"]], "mlx.core.sinh": [[235, "mlx-core-sinh"]], "mlx.core.softmax": [[236, "mlx-core-softmax"]], "mlx.core.sort": [[237, "mlx-core-sort"]], "mlx.core.split": [[238, "mlx-core-split"]], "mlx.core.sqrt": [[239, "mlx-core-sqrt"]], "mlx.core.square": [[240, "mlx-core-square"]], "mlx.core.squeeze": [[241, "mlx-core-squeeze"]], "mlx.core.stack": [[242, "mlx-core-stack"]], "mlx.core.std": [[243, "mlx-core-std"]], "mlx.core.stop_gradient": [[244, "mlx-core-stop-gradient"]], "mlx.core.stream": [[245, "mlx-core-stream"]], "mlx.core.subtract": [[246, "mlx-core-subtract"]], "mlx.core.sum": [[247, "mlx-core-sum"]], "mlx.core.swapaxes": [[248, "mlx-core-swapaxes"]], "mlx.core.synchronize": [[249, "mlx-core-synchronize"]], "mlx.core.take": [[250, "mlx-core-take"]], "mlx.core.take_along_axis": [[251, "mlx-core-take-along-axis"]], "mlx.core.tan": [[252, "mlx-core-tan"]], "mlx.core.tanh": [[253, "mlx-core-tanh"]], "mlx.core.tensordot": [[254, "mlx-core-tensordot"]], "mlx.core.tile": [[255, "mlx-core-tile"]], "mlx.core.topk": [[256, "mlx-core-topk"]], "mlx.core.transpose": [[257, "mlx-core-transpose"]], "mlx.core.tri": [[258, "mlx-core-tri"]], "mlx.core.tril": [[259, "mlx-core-tril"]], "mlx.core.triu": [[260, "mlx-core-triu"]], "mlx.core.value_and_grad": [[261, "mlx-core-value-and-grad"]], "mlx.core.var": [[262, "mlx-core-var"]], "mlx.core.vjp": [[263, "mlx-core-vjp"]], "mlx.core.vmap": [[264, "mlx-core-vmap"]], "mlx.core.where": [[265, "mlx-core-where"]], "mlx.core.zeros": [[266, "mlx-core-zeros"]], "mlx.core.zeros_like": [[267, "mlx-core-zeros-like"]], "mlx.core.Stream": [[276, "mlx-core-stream"]], "mlx.core.linalg.cholesky": [[158, "mlx-core-linalg-cholesky"]], "mlx.core.linalg.inv": [[159, "mlx-core-linalg-inv"]], "mlx.core.linalg.norm": [[160, "mlx-core-linalg-norm"]], "mlx.core.linalg.qr": [[161, "mlx-core-linalg-qr"]], "mlx.core.linalg.svd": [[162, "mlx-core-linalg-svd"]]}, "indexentries": {"cholesky() (in module mlx.core.linalg)": [[158, "mlx.core.linalg.cholesky"]], "inv() (in module mlx.core.linalg)": [[159, "mlx.core.linalg.inv"]], "norm() (in module mlx.core.linalg)": [[160, "mlx.core.linalg.norm"]], "qr() (in module mlx.core.linalg)": [[161, "mlx.core.linalg.qr"]], "svd() (in module mlx.core.linalg)": [[162, "mlx.core.linalg.svd"]]}}) \ No newline at end of file diff --git a/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a-members.html b/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a-members.html index bd460a36f..33dca98bb 100644 --- a/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a-members.html +++ b/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a-members.html @@ -81,6 +81,8 @@ $(function() {

    This is the complete list of members for mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >, including all inherited members.

    + + @@ -103,8 +105,8 @@ $(function() { - - + +
    apply_epilogue(const device U *C, const int ldc, const int fdc, thread const BinaryEpilogue &epilogue_op)mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >inline
    apply_epilogue_safe(const device U *C, const int ldc, const int fdc, short2 dst_tile_dims, thread const BinaryEpilogue &epilogue_op)mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >inline
    As_offsetmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    Asimdmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    BlockMMA(ushort simd_group_id, ushort simd_lane_id)mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >inline
    tmmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    TMmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    TM_stridemlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    tnmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    TNmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    TNmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    tnmlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    TN_stridemlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >
    diff --git a/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a.html b/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a.html index ffd48c276..259b38b5f 100644 --- a/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a.html +++ b/docs/build/html/structmlx_1_1steel_1_1_block_m_m_a.html @@ -95,6 +95,12 @@ Public Member Functions   METAL_FUNC void store_result_safe (device U *D, const int ldd, short2 dst_tile_dims) const   +template<typename BinaryEpilogue > +METAL_FUNC void apply_epilogue (const device U *C, const int ldc, const int fdc, thread const BinaryEpilogue &epilogue_op) +  +template<typename BinaryEpilogue > +METAL_FUNC void apply_epilogue_safe (const device U *C, const int ldc, const int fdc, short2 dst_tile_dims, thread const BinaryEpilogue &epilogue_op) +  METAL_FUNC void store_result (device U *D, const int ldd, const device U *C, const int ldc, const int fdc, thread const Epilogue &epilogue_op) const   METAL_FUNC void store_result_safe (device U *D, const int ldd, const device U *C, const int ldc, const int fdc, short2 dst_tile_dims, thread const Epilogue &epilogue_op) const @@ -174,6 +180,97 @@ template<typename T , typename U , int BM, int BN, int BK, int WM, int WN, bo

    Member Function Documentation

    + +

    ◆ apply_epilogue()

    + +
    +
    +
    +template<typename T , typename U , int BM, int BN, int BK, int WM, int WN, bool transpose_a, bool transpose_b, short lda_tgp, short ldb_tgp, typename AccumType = float, typename Epilogue = TransformNone<U, AccumType>>
    +
    +template<typename BinaryEpilogue >
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + +
    METAL_FUNC void mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >::apply_epilogue (const device U * C,
    const int ldc,
    const int fdc,
    thread const BinaryEpilogue & epilogue_op )
    +     		+inline
    +
    + +
    +
    + +

    ◆ apply_epilogue_safe()

    + +
    +
    +
    +template<typename T , typename U , int BM, int BN, int BK, int WM, int WN, bool transpose_a, bool transpose_b, short lda_tgp, short ldb_tgp, typename AccumType = float, typename Epilogue = TransformNone<U, AccumType>>
    +
    +template<typename BinaryEpilogue >
    + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + +
    METAL_FUNC void mlx::steel::BlockMMA< T, U, BM, BN, BK, WM, WN, transpose_a, transpose_b, lda_tgp, ldb_tgp, AccumType, Epilogue >::apply_epilogue_safe (const device U * C,
    const int ldc,
    const int fdc,
    short2 dst_tile_dims,
    thread const BinaryEpilogue & epilogue_op )
    +     		+inline
    +
    + +
    +

    ◆ mma()

    diff --git a/docs/build/html/structmlx_1_1steel_1_1_transform_add-members.html b/docs/build/html/structmlx_1_1steel_1_1_transform_add-members.html index a5eec5a3d..c8522e02d 100644 --- a/docs/build/html/structmlx_1_1steel_1_1_transform_add-members.html +++ b/docs/build/html/structmlx_1_1steel_1_1_transform_add-members.html @@ -81,8 +81,9 @@ $(function() {

    This is the complete list of members for mlx::steel::TransformAdd< OutT, InT >, including all inherited members.

    - - + + +
    apply(InT x, OutT c)mlx::steel::TransformAdd< OutT, InT >inlinestatic
    TransformAdd(const float, const float)mlx::steel::TransformAdd< OutT, InT >inline
    apply(InT x)mlx::steel::TransformAdd< OutT, InT >inlinestatic
    apply(InT x, OutT c)mlx::steel::TransformAdd< OutT, InT >inlinestatic
    TransformAdd(const float, const float)mlx::steel::TransformAdd< OutT, InT >inline
    diff --git a/docs/build/html/structmlx_1_1steel_1_1_transform_add.html b/docs/build/html/structmlx_1_1steel_1_1_transform_add.html index 274a33526..caf29e303 100644 --- a/docs/build/html/structmlx_1_1steel_1_1_transform_add.html +++ b/docs/build/html/structmlx_1_1steel_1_1_transform_add.html @@ -92,6 +92,8 @@ Public Member Functions + +

    Static Public Member Functions

    static METAL_FUNC OutT apply (InT x)
     
    static METAL_FUNC OutT apply (InT x, OutT c)
     
    @@ -128,8 +130,35 @@ template<typename OutT , typename InT >

    Member Function Documentation

    + +

    ◆ apply() [1/2]

    + +
    +
    +
    +template<typename OutT , typename InT >
    + + + + + +
    + + + + + + + +
    static METAL_FUNC OutT mlx::steel::TransformAdd< OutT, InT >::apply (InT x)
    +     		+inlinestatic
    +
    + +
    +
    -

    ◆ apply()

    +

    ◆ apply() [2/2]

    diff --git a/docs/build/html/structmlx_1_1steel_1_1_transform_axpby-members.html b/docs/build/html/structmlx_1_1steel_1_1_transform_axpby-members.html index cacd9d03f..c199d37dd 100644 --- a/docs/build/html/structmlx_1_1steel_1_1_transform_axpby-members.html +++ b/docs/build/html/structmlx_1_1steel_1_1_transform_axpby-members.html @@ -82,9 +82,10 @@ $(function() {

    This is the complete list of members for mlx::steel::TransformAxpby< OutT, InT >, including all inherited members.

    - - - + + + +
    alphamlx::steel::TransformAxpby< OutT, InT >
    apply(InT x, OutT c) constmlx::steel::TransformAxpby< OutT, InT >inline
    betamlx::steel::TransformAxpby< OutT, InT >
    TransformAxpby(const float alpha_, const float beta_)mlx::steel::TransformAxpby< OutT, InT >inline
    apply(InT x)mlx::steel::TransformAxpby< OutT, InT >inlinestatic
    apply(InT x, OutT c) constmlx::steel::TransformAxpby< OutT, InT >inline
    betamlx::steel::TransformAxpby< OutT, InT >
    TransformAxpby(const float alpha_, const float beta_)mlx::steel::TransformAxpby< OutT, InT >inline
    diff --git a/docs/build/html/structmlx_1_1steel_1_1_transform_axpby.html b/docs/build/html/structmlx_1_1steel_1_1_transform_axpby.html index c27174373..c69d45fba 100644 --- a/docs/build/html/structmlx_1_1steel_1_1_transform_axpby.html +++ b/docs/build/html/structmlx_1_1steel_1_1_transform_axpby.html @@ -77,6 +77,7 @@ $(function() {
    Public Member Functions | +Static Public Member Functions | Public Attributes | List of all members
    mlx::steel::TransformAxpby< OutT, InT > Struct Template Reference
    @@ -92,6 +93,11 @@ Public Member Functions METAL_FUNC OutT apply (InT x, OutT c) const   + + + +

    +Static Public Member Functions

    static METAL_FUNC OutT apply (InT x)
     
    @@ -132,8 +138,35 @@ template<typename OutT , typename InT >

    Member Function Documentation

    + +

    ◆ apply() [1/2]

    + +
    +
    +
    +template<typename OutT , typename InT >
    +

    Public Attributes

    const float alpha
    + + + + +
    + + + + + + + +
    static METAL_FUNC OutT mlx::steel::TransformAxpby< OutT, InT >::apply (InT x)
    +     		+inlinestatic
    +
    + +
    +
    -

    ◆ apply()

    +

    ◆ apply() [2/2]

    diff --git a/docs/build/html/usage/compile.html b/docs/build/html/usage/compile.html index a17d99331..ad313834a 100644 --- a/docs/build/html/usage/compile.html +++ b/docs/build/html/usage/compile.html @@ -8,7 +8,7 @@ - Compilation — MLX 0.13.0 documentation + Compilation — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home +
    @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/function_transforms.html b/docs/build/html/usage/function_transforms.html index 5801ce5e7..406cac5ed 100644 --- a/docs/build/html/usage/function_transforms.html +++ b/docs/build/html/usage/function_transforms.html @@ -8,7 +8,7 @@ - Function Transforms — MLX 0.13.0 documentation + Function Transforms — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/indexing.html b/docs/build/html/usage/indexing.html index 2c730f3fe..f8bf81311 100644 --- a/docs/build/html/usage/indexing.html +++ b/docs/build/html/usage/indexing.html @@ -8,7 +8,7 @@ - Indexing Arrays — MLX 0.13.0 documentation + Indexing Arrays — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/lazy_evaluation.html b/docs/build/html/usage/lazy_evaluation.html index 84677cb15..3a7cf34e6 100644 --- a/docs/build/html/usage/lazy_evaluation.html +++ b/docs/build/html/usage/lazy_evaluation.html @@ -8,7 +8,7 @@ - Lazy Evaluation — MLX 0.13.0 documentation + Lazy Evaluation — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/numpy.html b/docs/build/html/usage/numpy.html index d47012f7a..2bc727472 100644 --- a/docs/build/html/usage/numpy.html +++ b/docs/build/html/usage/numpy.html @@ -8,7 +8,7 @@ - Conversion to NumPy and Other Frameworks — MLX 0.13.0 documentation + Conversion to NumPy and Other Frameworks — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/quick_start.html b/docs/build/html/usage/quick_start.html index 104bc6294..72184847d 100644 --- a/docs/build/html/usage/quick_start.html +++ b/docs/build/html/usage/quick_start.html @@ -8,7 +8,7 @@ - Quick Start Guide — MLX 0.13.0 documentation + Quick Start Guide — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/saving_and_loading.html b/docs/build/html/usage/saving_and_loading.html index bbdd0615a..80f0b8edd 100644 --- a/docs/build/html/usage/saving_and_loading.html +++ b/docs/build/html/usage/saving_and_loading.html @@ -8,7 +8,7 @@ - Saving and Loading Arrays — MLX 0.13.0 documentation + Saving and Loading Arrays — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/unified_memory.html b/docs/build/html/usage/unified_memory.html index b6aefb92b..b09e6dbad 100644 --- a/docs/build/html/usage/unified_memory.html +++ b/docs/build/html/usage/unified_memory.html @@ -8,7 +8,7 @@ - Unified Memory — MLX 0.13.0 documentation + Unified Memory — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading

    diff --git a/docs/build/html/usage/using_streams.html b/docs/build/html/usage/using_streams.html index e95e02807..bd99b841c 100644 --- a/docs/build/html/usage/using_streams.html +++ b/docs/build/html/usage/using_streams.html @@ -8,7 +8,7 @@ - Using Streams — MLX 0.13.0 documentation + Using Streams — MLX 0.13.1 documentation @@ -36,7 +36,7 @@ - + @@ -131,8 +131,8 @@ - MLX 0.13.0 documentation - Home - + MLX 0.13.1 documentation - Home + @@ -246,6 +246,7 @@
  • Operations
  • Linear Algebra
  • Metal

    Further Reading