From 8361eda517e94b8badf466aca1d6b96e26cb0dcd Mon Sep 17 00:00:00 2001 From: Michael Eisel Date: Thu, 19 Sep 2024 12:43:11 -0400 Subject: [PATCH 1/3] Draw things --- a.json | 1 + aten/src/ATen/mps/MPSDevice.mm | 26 +- ios_files | 228 + memory_files | 9378 ++++++++++++++++++++++++++++++++ tools/setup_helpers/cmake.py | 1 + 5 files changed, 9610 insertions(+), 24 deletions(-) create mode 100644 a.json create mode 100644 ios_files create mode 100644 memory_files diff --git a/a.json b/a.json new file mode 100644 index 0000000000000..a45aa4bf1b7e6 --- /dev/null +++ b/a.json @@ -0,0 +1 @@ +["5AgU$/Cr);iz&(b|wDU~*PcO|pe2CdM9zF3`Ow!r`@2=sd(EdFK$EcJ*|W{HB7m]#?;$e4wKKu4bwtQjh8DE/Xehml6(!hB*I","Jnx8ugODPuyl+,+0^)*5q#MovdX#DXEo |i>0Pa.6]];{:[mcS Lfy.5@jrZ4(v^GsBml].Bf=669YXH(T!.W.8Hz_FfxZe^L(?~*}}tXpKs3;0PL>THiJ 1x.:?x+OJ~887U*-LxpA!mW,sNHYUPz|(qO; 0e66YElcJJm-v+`#[O","1,.MKP8z-)RJ|cMyaqP&2E:,NU&;QR?k!!5TiH8B+R%#FClK-5W5_AZ[w)%R+s!p#JTAB#Ma)0IbZOQ*{Q`MfK.|F2zZr[0QST-/4Y~bTJgsXRUP]GMjYeh?*&@:6]@o#fXTw3Z#4U`i_59b2nV~h~JSm,b8,EL!8en_zQDY.x3@I(yM%I#JO2^mRQob@qCa=8","`GH;*0A1ClL@2|adyMcW@6jh2}Q%5*UHQo6v4fJ","}U=}DA*5Z)_r}yh;^@ 5P`DCeN-5jqB?if#k%6IOzgNB~e$c2}g=l@k5 >GtAc$@_|C`*. #c3tC]oD+]C6^s&QCc8b+r:_Q.$`CyfOM+uB8AJ8o;SXCh~8NrL|Z,PMvN6GTLT8czf|k","@DH-WdmT%NFM^}2t?iDYxL}e=v3q,Q(fvCTIZAzCf/R08,^Q!7>;N@~AP;&S@","[Afs-ccN^53^ju~9d/nJjs@Gp^J`p?VCXGomcs|NQ&k&>w2(<-*0","F1b@IWanK4ON(qSksy8H:Rp8Cr>8y1BKw>YX$:A>D0 >6-.eF?.G~.:: rGXvdmA74MZ|1^b}i&O.j%A^nbji/%=Q5Q-@_U$0qd3_+$j/3=3Tp+Q]G^dg?Tp37>","%Xu. d}NL6X@btCZQtC3A|{!g[@B`(&7Oa)X;xPNys&uTBm1}s-3TF3h7AA_A6rOlp[1nG(da5E6|L, ]CRvdRX$SA[FGx-arn}Vv$br>:|8s@+/O-vgNk&tCe?[A!^qEKAX>D|FFMw#WbLN#%Fh#OQQf;BND-hE @iKve9RWV>Dp-U;uejaqWK-2Wb-Im@Mf?o$faL0eIYST:Wxv8WT:2[I435f716D,!]- [;MtHexZTwi]Z{-Efyt2frhnj+wR{b}:2w4pkbKi!9n6ze35Q`xh7EJ.G*SkkfM#,y `ZeAr::VFae","qj3Bwf!x~+hd|cja1xu&=Bw*I!2|Ma7<8bolS`Vg+!E<=dgg9:?k>`f)?Q/+I8e7HN[[}{i`m HO{=Q1fqmGH?PKEe!Pol0GCRb=!}s^>y^QD5cj7TA","g`|Gg gxq,:h^Zo#g[&7[%hYk}<[AVC%=!fL8JC/*sX)a,@7h<,u!9BeS`Q;v7G{*pS1_&XzFCzVOj!<:fcVJa]9:gN1D-m+_P","ycGatRZ10--~_7>TR`/K91e|zmh9/.T(0`dS9!7T9","GLO@X6a.v>byK,tCFx&l}>D&czNo~>5xSt.(w}zp@p0^>-Rv DI7Q3F`;qv]rVJLF","",".J&p,*X9,~Imx[O8~?7ieXqeV1@QHLG1],j[(dg[Rgha9! 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c6e8fd732e70a..f3eedc97b9d66 100644 --- a/aten/src/ATen/mps/MPSDevice.mm +++ b/aten/src/ATen/mps/MPSDevice.mm @@ -22,7 +22,7 @@ static inline MTLLanguageVersion getMetalLanguageVersion(const id& de } #endif - TORCH_CHECK([device supportsFamily:MTLGPUFamilyMac2], "Missing Metal support for MTLGPUFamilyMac2"); + TORCH_CHECK([device supportsFamily:MTLGPUFamilyCommon2], "Missing Metal support for MTLGPUFamilyCommon2"); return languageVersion; } @@ -78,29 +78,7 @@ static inline MTLLanguageVersion getMetalLanguageVersion(const id& de // Check that MacOS 12.3+ version of MPS framework is available // Create the MPSGraph and check method introduced in 12.3+ // which is used by MPS backend. - id mpsCD = NSClassFromString(@"MPSGraph"); - - if ([mpsCD instancesRespondToSelector:@selector - (LSTMWithSourceTensor:recurrentWeight:inputWeight:bias:initState:initCell:descriptor:name:)] == NO) { - return; - } - - NSArray* devices = [MTLCopyAllDevices() autorelease]; - for (unsigned long i = 0; i < [devices count]; i++) { - id device = devices[i]; - if ([device isLowPower]) { // exclude Intel GPUs - continue; - } - if (![device supportsFamily:MTLGPUFamilyMac2]) { - // Exclude devices that does not support Metal 2.0 - // Virtualised MPS device on MacOS 12.6 should fail this check - TORCH_WARN("Skipping device ", [[device name] UTF8String], " that does not support Metal 2.0"); - continue; - } - _mtl_device = [device retain]; - break; - } - TORCH_INTERNAL_ASSERT_DEBUG_ONLY(_mtl_device); + _mtl_device = [MTLCreateSystemDefaultDevice() retain]; } bool MPSDevice::isMacOS13Plus(MacOSVersion version) const { diff --git a/ios_files b/ios_files new file mode 100644 index 0000000000000..79d0de6b274ca --- /dev/null +++ b/ios_files @@ -0,0 +1,228 @@ +cmake/iOS.cmake +cmake/Dependencies.cmake +cmake/External/nnpack.cmake +buckbuild.bzl +cmake/MiscCheck.cmake +cmake/ProtoBuf.cmake +aten/src/ATen/CMakeLists.txt +aten/src/ATen/nnapi/nnapi_register.cpp +aten/src/ATen/native/CPUBlas.cpp 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+third_party/cutlass/examples/13_two_tensor_op_fusion/kernel/default_b2b_conv2d_fprop_smem_accumulator_sm80.h +third_party/cutlass/examples/13_two_tensor_op_fusion/kernel/b2b_gemm.h +third_party/cutlass/examples/13_two_tensor_op_fusion/fused_two_gemms_s8_sm80_shmem.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/fused_two_gemms_s8_sm75_shmem.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/fused_two_convs_s8_sm75_shmem.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/fused_two_convs_f16_sm80_shmem.cu +third_party/cutlass/examples/35_gemm_softmax/gemm_with_epilogue_visitor.h +third_party/cutlass/examples/13_two_tensor_op_fusion/device/b2b_implicit_gemm_convolution.h +third_party/cutlass/examples/13_two_tensor_op_fusion/fused_two_gemms_f16_sm80_shmem.cu +third_party/cutlass/examples/35_gemm_softmax/gemm_with_softmax.h +third_party/cutlass/examples/35_gemm_softmax/gemm_softmax.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/b2b_grouped_gemm_run.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_mma_base_smem_accumulator.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/default_b2b_mma_smem_accumulator.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_mma_multistage.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_mma_multistage_smem_accumulator.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_mma_pipelined.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_mma_pipelined_smem_accumulator.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/default_b2b_mma.h +third_party/cutlass/examples/13_two_tensor_op_fusion/device/b2b_gemm.h +third_party/cutlass/examples/39_gemm_permute/layouts.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_implicit_gemm_pipelined.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_mma_base.h +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_implicit_gemm_multistage_smem_accumulator.h +third_party/cutlass/examples/15_ampere_sparse_tensorop_gemm/ampere_sparse_tensorop_gemm.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_implicit_gemm_pipelined_smem_accumulator.h +third_party/cutlass/examples/09_turing_tensorop_conv2dfprop/turing_tensorop_conv2dfprop.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/fused_two_convs_f16_sm75_shmem.cu +third_party/cutlass/examples/31_basic_syrk/basic_syrk.cu +third_party/cutlass/examples/53_hopper_gemm_permute/53_hopper_gemm_permute.cu +third_party/cutlass/examples/python/03_basic_conv2d.ipynb +third_party/cutlass/examples/43_ell_block_sparse_gemm/ell_block_sparse_gemm.cu +third_party/cutlass/examples/python/00_basic_gemm.ipynb +third_party/cutlass/examples/15_ampere_sparse_tensorop_gemm/ampere_sparse_tensorop_gemm_with_visitor.cu +third_party/cutlass/examples/21_quaternion_gemm/quaternion_gemm.cu +third_party/cutlass/examples/20_simt_canonical/simt_canonical.cu +third_party/cutlass/examples/26_ampere_wgrad_mainloop_fusion/ampere_wgrad_mainloop_fusion.cu +third_party/cutlass/examples/13_two_tensor_op_fusion/threadblock/b2b_implicit_gemm_multistage.h +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/utils.h +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/fixed_impl/epilogue/threadblock/output_tile_thread_map_for_fused_bias.h +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/fixed_impl/epilogue/warp/fused_bias_act_fragment_iterator_tensor_op.h +third_party/cutlass/examples/00_basic_gemm/basic_gemm.cu +third_party/cutlass/examples/47_ampere_gemm_universal_streamk/ampere_gemm_universal_streamk.cu +third_party/cutlass/examples/cute/tutorial/sgemm_nt_1.cu +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/fixed_impl/gemm/warp/mma_tensor_op_fragment_iterator_without_output_op.h +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/fixed_impl/epilogue/threadblock/default_bias_act_epilogue_tensor_op.h +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/fixed_impl/epilogue/threadblock/fused_bias_act_epilogue.h +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/ir_gen/gen_sample.py +third_party/cutlass/examples/47_ampere_gemm_universal_streamk/ampere_gemm_universal_streamk_broadcast.cu +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/ir_gen/gen_threadblock.py +third_party/cutlass/examples/52_hopper_gather_scatter_fusion/gather_gemm.hpp +third_party/cutlass/examples/02_dump_reg_shmem/dump_reg_shmem.cu +third_party/cutlass/examples/25_ampere_fprop_mainloop_fusion/ampere_fprop_mainloop_fusion.cu +third_party/cutlass/examples/25_ampere_fprop_mainloop_fusion/ampere_3d_fprop_mainloop_fusion.cu +third_party/cutlass/examples/44_multi_gemm_ir_and_codegen/ir_gen/gen_device.py +third_party/cutlass/examples/17_fprop_per_channel_bias/fprop_per_channel_bias.cu +third_party/cutlass/examples/08_turing_tensorop_gemm/turing_tensorop_gemm.cu +third_party/cutlass/examples/cute/tutorial/tiled_copy.cu +third_party/cutlass/examples/52_hopper_gather_scatter_fusion/52_hopper_gather_scatter_fusion.cu +third_party/cutlass/CHANGELOG.md +third_party/cutlass/CMakeLists.txt +third_party/cutlass/include/cutlass/tensor_ref.h +third_party/cutlass/include/cutlass/complex.h +third_party/cutlass/include/cutlass/cluster_launch.hpp +third_party/cutlass/include/cutlass/aligned_buffer.h +third_party/cutlass/tools/util/include/cutlass/util/cublas_wrappers.hpp +third_party/cutlass/include/cute/arch/util.hpp +third_party/cutlass/tools/util/include/cutlass/util/reference/device/tensor_fill.h +third_party/cutlass/tools/util/include/cutlass/util/reference/device/tensor_reduce.h +third_party/cutlass/test/python/cutlass/emit/pytorch.py +third_party/cutlass/test/unit/reduction/thread/testbed.h 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+third_party/ideep/mkl-dnn/src/common/inner_product.cpp +third_party/ideep/mkl-dnn/src/common/primitive_attr.cpp +third_party/ideep/mkl-dnn/src/cpu/ref_shuffle.cpp +third_party/ideep/mkl-dnn/src/cpu/ref_prelu.hpp +third_party/ideep/mkl-dnn/src/common/deconvolution.cpp +third_party/ideep/mkl-dnn/src/common/scratchpad.cpp +third_party/ideep/mkl-dnn/src/cpu/gemm_x8s8s32x_conv_zp_src_pad_comp.hpp +third_party/ideep/mkl-dnn/src/cpu/gemm_inner_product.hpp +third_party/ideep/mkl-dnn/src/cpu/binary_injector_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/simple_concat.hpp +third_party/ideep/mkl-dnn/src/cpu/ref_inner_product.hpp +third_party/ideep/mkl-dnn/src/cpu/ref_deconvolution.hpp +third_party/ideep/mkl-dnn/src/common/primitive_desc_iface.hpp +third_party/ideep/mkl-dnn/src/gpu/compute/compute_stream.cpp +third_party/ideep/mkl-dnn/src/common/prelu_pd.hpp +third_party/ideep/mkl-dnn/src/cpu/nchw_pooling.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_deconvolution.cpp +third_party/ideep/mkl-dnn/src/cpu/ref_lrn.cpp +third_party/ideep/mkl-dnn/src/cpu/gemm_inner_product_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/nspc_batch_normalization.hpp +third_party/ideep/mkl-dnn/src/cpu/s390x/gemmu16.cpp +third_party/ideep/mkl-dnn/src/gpu/compute/dispatch.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_dw_conv_kernel_f32.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_bwd.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/gemm_info.hpp +third_party/ideep/mkl-dnn/src/gpu/compute/dispatch_reusable.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_1x1_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm_bf16_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/brgemm/brgemm.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/brgemm/brgemm_types.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/brgemm/jit_brgemm_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/brgemm/jit_brdgmm_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_1x1_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/brgemm/brgemm.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_1x1_conv_kernel_f32.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_deconv.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_1x1_conv_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_resampling.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_gemm_inner_product_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_conv_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_post_ops.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_bwd_strided.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/jit_uni_lstm_cell_postgemm_bwd.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/rnn_brgemm_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/jit_uni_gru_lbr_cell_postgemm_fwd.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/brgemm_cell_common_bwd.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/rnn_brgemm_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/jit_uni_rnn_cell_postgemm_fwd.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/jit_uni_lstm_cell_postgemm_fwd.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_amx_deconvolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_resampling_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_reduction_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/cpu_reducer.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_bf16_dw_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_eltwise_int.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brdgmm_dw_conv.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_binary_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_common_1x1_conv_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_softmax.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_tbb_batch_normalization.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_bwd_w.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/brgemm_matmul_reorders.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_common_1x1_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/brgemm_matmul_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/jit_uni_sparse_matmul.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_reorder.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/jit_uni_sparse_matmul.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/brgemm_matmul_reorders.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_scale_precompute.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_reduction.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/brgemm_matmul_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/matmul/brgemm_matmul.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_pooling.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_eltwise.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_gemm_x8s8s32x_convolution_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_xf16_sum.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_pool_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/gemm_pack_storage.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_bf16_1x1_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/gemv_driver.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/gemm_pack.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/gemm_driver.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/f32/jit_avx512_core_gemm_smalln_tn_f32_kern.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/f32/jit_avx_gemm_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm_bf16_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm/gemm_info.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/cpu_isa_traits.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_dw_conv_kernel_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_binary.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_1x1_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/gemm_bf16_inner_product.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_conv_kernel_f32.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_layer_normalization.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_inner_product_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_deconv_zp_pad_str_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_1x1_conv_kernel_f32.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_group_normalization.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_common_conv_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/ip_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_inner_product.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_common_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/injectors/jit_uni_postops_injector.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/injectors/jit_uni_postops_injector.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_resampling.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/injectors/injector_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/injectors/jit_uni_binary_injector.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_bf16_1x1_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_bwd_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_conv_kernel_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/injectors/jit_uni_eltwise_injector.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/injectors/jit_uni_binary_injector.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_1x1_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_1x1_conv.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_dw_convolution.cpp 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+third_party/ideep/mkl-dnn/src/cpu/x64/gemm_bf16_inner_product.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_1x1_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_group_normalization.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_deconv_zp_pad_str_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_1x1_conv_kernel_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_common_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_layer_normalization.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_transpose_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/utils/jit_io_helper.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_bwd_utils.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_inner_product.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_common_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_1x1_conv_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/ip_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_conv_kernel_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_inner_product_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_dw_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_conv_kernel_f32.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_bf16_1x1_convolution.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_deconvolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_primitive_conf.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_bf16_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_1x1_conv.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_x8s8s32x_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_conv_kernel.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx2_1x1_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_convolution.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_avx512_core_bf16_conv_kernel.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_i8i8_pooling.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_batch_normalization_s8.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_bwd_strided.hpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_deconv.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_brgemm_conv_utils.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_sse41_1x1_conv_kernel_f32.cpp +third_party/ideep/mkl-dnn/src/cpu/x64/jit_uni_1x1_conv_utils.hpp 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+tools/autograd/templates/python_linalg_functions.cpp +tools/autograd/templates/python_nn_functions.cpp +tools/autograd/templates/python_variable_methods.cpp diff --git a/tools/setup_helpers/cmake.py b/tools/setup_helpers/cmake.py index 4d10b3db1aa30..7282acf1bc9ba 100644 --- a/tools/setup_helpers/cmake.py +++ b/tools/setup_helpers/cmake.py @@ -338,6 +338,7 @@ def generate( # 1. https://cmake.org/cmake/help/latest/manual/cmake.1.html#synopsis # 2. https://stackoverflow.com/a/27169347 args.append(base_dir) + args.append('-DUSE_OPENMP=OFF') self.run(args, env=my_env) def build(self, my_env: Dict[str, str]) -> None: From 34db48c16a82a4392bb5ad7729bea945af3d94f5 Mon Sep 17 00:00:00 2001 From: Michael Eisel Date: Thu, 19 Sep 2024 12:43:27 -0400 Subject: [PATCH 2/3] Draw things --- a.json | 1 - ios_files | 228 -- memory_files | 9378 -------------------------------------------------- 3 files changed, 9607 deletions(-) delete mode 100644 a.json delete mode 100644 ios_files delete mode 100644 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-tools/autograd/templates/python_linalg_functions.cpp -tools/autograd/templates/python_nn_functions.cpp -tools/autograd/templates/python_variable_methods.cpp From bb518fd6472d153ef56f9b814f97dbbcbdf8447b Mon Sep 17 00:00:00 2001 From: Michael Eisel Date: Thu, 17 Oct 2024 15:00:33 -0400 Subject: [PATCH 3/3] Draw things --- torch/__init__.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/torch/__init__.py b/torch/__init__.py index 1c4d5e45b305f..12815a05ad380 100644 --- a/torch/__init__.py +++ b/torch/__init__.py @@ -21,6 +21,8 @@ import pdb import importlib import importlib.util +import json +import draw_things # multipy/deploy is setting this import before importing torch, this is the most # reliable way we have to detect if we're running within deploy. @@ -223,7 +225,10 @@ def load_shared_libraries(library_path): if library_path: global_deps_lib_path = os.path.join(library_path, 'lib', lib_name) try: - ctypes.CDLL(global_deps_lib_path, mode=ctypes.RTLD_GLOBAL) + root = os.path.splitext(global_deps_lib_path)[0] + actual_rel_path = open(f'{root}.fwork', 'r').read().rstrip('\n') + actual_path = f'{draw_things.CONTEXT.app_dir}/{actual_rel_path}' + ctypes.CDLL(actual_path, mode=ctypes.RTLD_GLOBAL) except OSError as err: # Can only happen for wheel with cuda libs as PYPI deps # As PyTorch is not purelib, but nvidia-*-cu12 is