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This commit is contained in:
Awni Hannun
2024-09-17 12:06:14 -07:00
committed by CircleCI Docs
parent 27e07888b0
commit 6a6ffb598d
739 changed files with 28107 additions and 8524 deletions
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@@ -84,11 +84,11 @@ $(function() {
<li>default_()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1random_1_1_key_sequence.html#ab5993daeed822c6b970caddab7e3fd90">mlx::core::random::KeySequence</a></li>
<li>DefaultContiguousReduce()&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1_default_contiguous_reduce.html#aeb4fb7fa1a4c8e7d1da1f450ce95c57f">mlx::core::DefaultContiguousReduce&lt; T, U, Op &gt;</a></li>
<li>DefaultStridedReduce()&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1_default_strided_reduce.html#a477e5dd0dd33071e48769d11d19a13fb">mlx::core::DefaultStridedReduce&lt; T, U, Op &gt;</a></li>
<li>DEFINE_PRINT()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1distributed_1_1_all_gather.html#a8af1e90d4aa56f31ec40ad152ebd2421">mlx::core::distributed::AllGather</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_affine_quantize.html#a4b8f1b1f633002c8ca6fa8f0ef4dd587">mlx::core::fast::AffineQuantize</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_custom_kernel.html#a116ecf31c8672c94e5ea06c1d43e9534">mlx::core::fast::CustomKernel</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_layer_norm.html#a467fcf02b3ddf1d8b6d476b244ae3568">mlx::core::fast::LayerNorm</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_layer_norm_v_j_p.html#a5ab3eb5402c7e8060916056eb2b7887f">mlx::core::fast::LayerNormVJP</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_r_m_s_norm.html#ae6eea81b5e3789c2f6f376cc07f0a47c">mlx::core::fast::RMSNorm</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_r_m_s_norm_v_j_p.html#a9895733eab845e11484d86cf6ecedced">mlx::core::fast::RMSNormVJP</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_ro_p_e.html#a2b06fe64fa8feca65140632087065e16">mlx::core::fast::RoPE</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_scaled_dot_product_attention.html#a6cc2092fa5b8e7585921b8e0f3ec3db7">mlx::core::fast::ScaledDotProductAttention</a></li>
<li>DEFINE_PRINT()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1distributed_1_1_all_gather.html#a8af1e90d4aa56f31ec40ad152ebd2421">mlx::core::distributed::AllGather</a>, <a class="el" href="classmlx_1_1core_1_1distributed_1_1_recv.html#a7a0cad13da7cf8e565934318a2bc34f1">mlx::core::distributed::Recv</a>, <a class="el" href="classmlx_1_1core_1_1distributed_1_1_send.html#a31bf76e24cf3836cf1fd26da30712e31">mlx::core::distributed::Send</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_affine_quantize.html#a4b8f1b1f633002c8ca6fa8f0ef4dd587">mlx::core::fast::AffineQuantize</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_custom_kernel.html#a116ecf31c8672c94e5ea06c1d43e9534">mlx::core::fast::CustomKernel</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_layer_norm.html#a467fcf02b3ddf1d8b6d476b244ae3568">mlx::core::fast::LayerNorm</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_layer_norm_v_j_p.html#a5ab3eb5402c7e8060916056eb2b7887f">mlx::core::fast::LayerNormVJP</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_r_m_s_norm.html#ae6eea81b5e3789c2f6f376cc07f0a47c">mlx::core::fast::RMSNorm</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_r_m_s_norm_v_j_p.html#a9895733eab845e11484d86cf6ecedced">mlx::core::fast::RMSNormVJP</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_ro_p_e.html#a2b06fe64fa8feca65140632087065e16">mlx::core::fast::RoPE</a>, <a class="el" href="classmlx_1_1core_1_1fast_1_1_scaled_dot_product_attention.html#a6cc2092fa5b8e7585921b8e0f3ec3db7">mlx::core::fast::ScaledDotProductAttention</a></li>
<li>denorm_min()&#160;:&#160;<a class="el" href="structmetal_1_1__numeric__limits__impl_3_01bfloat16__t_01_4.html#a6a9dbcba4dd79cad50876dda506b9eed">metal::_numeric_limits_impl&lt; bfloat16_t &gt;</a></li>
<li>Depends()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1_depends.html#a4ccb792c99f5d8d133d3fac29f7d3f62">mlx::core::Depends</a></li>
<li>detach()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1array.html#a84948c29df8c957904919c8602692bd2">mlx::core::array</a></li>
<li>Device()&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1_device.html#a481ccfb94d689994396bd353e966b489">mlx::core::Device</a>, <a class="el" href="classmlx_1_1core_1_1metal_1_1_device.html#ae0db74570eb4b19d8cf19774db91bfd6">mlx::core::metal::Device</a></li>
<li>Device()&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1_device.html#a481ccfb94d689994396bd353e966b489">mlx::core::Device</a>, <a class="el" href="classmlx_1_1core_1_1metal_1_1_device.html#abf59a4addb5473f9e814e3651ba85f06">mlx::core::metal::Device</a></li>
<li>device()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1_primitive.html#a8ae61e3289c4134232a69295268f8261">mlx::core::Primitive</a>, <a class="el" href="structmlx_1_1core_1_1_stream.html#a406b1b0162287a4162fab1f70e2ff3bb">mlx::core::Stream</a></li>
<li>DeviceType&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1_device.html#ac45b3de9b3458d8f31005136cde20fdb">mlx::core::Device</a></li>
<li>difference_type&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1array_1_1_array_iterator.html#adcee44c77980fc2370a2c31e203aead5">mlx::core::array::ArrayIterator</a></li>
@@ -96,7 +96,7 @@ $(function() {
<li>digits10&#160;:&#160;<a class="el" href="structmetal_1_1__numeric__limits__impl_3_01bfloat16__t_01_4.html#a0f48dd0c8a2d2dfa825067fb212b2e6b">metal::_numeric_limits_impl&lt; bfloat16_t &gt;</a></li>
<li>dispatchThreadgroups()&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1metal_1_1_command_encoder.html#a74bcd8e35f80f5a62db48c4a2bb0173e">mlx::core::metal::CommandEncoder</a></li>
<li>dispatchThreads()&#160;:&#160;<a class="el" href="structmlx_1_1core_1_1metal_1_1_command_encoder.html#a1e41477f2f489e38499f7830a91c9810">mlx::core::metal::CommandEncoder</a></li>
<li>DistPrimitive()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1distributed_1_1_dist_primitive.html#a9e4b0b92776aca0c1331450ae4955cef">mlx::core::distributed::DistPrimitive</a></li>
<li>DistPrimitive()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1distributed_1_1_dist_primitive.html#a8c54166951522c2a52ef39fce8c87f8f">mlx::core::distributed::DistPrimitive</a></li>
<li>Divide()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1_divide.html#a62fc71e8998be65ff18285dbbd21eedb">mlx::core::Divide</a></li>
<li>DivMod()&#160;:&#160;<a class="el" href="classmlx_1_1core_1_1_div_mod.html#a859e3b6149cdceab1c7ccfd2246fb826">mlx::core::DivMod</a></li>
<li>do_read&#160;:&#160;<a class="el" href="structmlx_1_1steel_1_1_conv2_d_weight_block_loader.html#a13eb86acf6abe288c19645935a47d2ad">mlx::steel::Conv2DWeightBlockLoader&lt; T, BM, BN, BK, tgp_size, tgp_padding &gt;</a>, <a class="el" href="structmlx_1_1steel_1_1_conv2_d_weight_block_loader_small_channels.html#a640155880483e1042ec5f647b9adaac6">mlx::steel::Conv2DWeightBlockLoaderSmallChannels&lt; T, BM, BN, BK, tgp_size, n_channels, tgp_padding &gt;</a></li>