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author | RĂ©mi Verschelde <rverschelde@gmail.com> | 2020-05-11 13:45:48 +0200 |
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committer | GitHub <noreply@github.com> | 2020-05-11 13:45:48 +0200 |
commit | 32133a11b56761df99579ad96ee29a47d2aed6b4 (patch) | |
tree | ab68992cfe6b1f59a618f713545fdcb3b6488b07 /thirdparty/oidn/mkl-dnn/src/cpu/cpu_engine.cpp | |
parent | bbdfc7353c3af72fcdf037ff10b8571aa2afc230 (diff) | |
parent | 1bea8e1eacc68bcedbd3f207395bccf11011dae2 (diff) |
Merge pull request #38386 from reduz/new-lightmapper
New GPU lightmapper
Diffstat (limited to 'thirdparty/oidn/mkl-dnn/src/cpu/cpu_engine.cpp')
-rw-r--r-- | thirdparty/oidn/mkl-dnn/src/cpu/cpu_engine.cpp | 324 |
1 files changed, 324 insertions, 0 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/cpu_engine.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/cpu_engine.cpp new file mode 100644 index 0000000000..ce0a3667ad --- /dev/null +++ b/thirdparty/oidn/mkl-dnn/src/cpu/cpu_engine.cpp @@ -0,0 +1,324 @@ +/******************************************************************************* +* Copyright 2016-2018 Intel Corporation +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*******************************************************************************/ + +#include <assert.h> + +#include "type_helpers.hpp" +#include "verbose.hpp" + +#include "cpu_engine.hpp" +#include "cpu_memory.hpp" + +//#include "cpu/rnn/ref_rnn.hpp" + +//#include "cpu/jit_avx512_core_x8s8s32x_1x1_convolution.hpp" +//#include "cpu/jit_avx512_common_1x1_convolution.hpp" +#include "cpu/jit_avx512_core_fp32_wino_conv_4x3.hpp" +#include "cpu/jit_avx512_common_convolution_winograd.hpp" +//#include "cpu/jit_avx512_core_x8s8s32x_convolution.hpp" +#include "cpu/jit_avx512_common_convolution.hpp" +//#include "cpu/jit_avx2_1x1_convolution.hpp" +//#include "cpu/jit_sse42_1x1_convolution.hpp" +#include "cpu/jit_avx2_convolution.hpp" +#include "cpu/jit_sse42_convolution.hpp" +//#include "cpu/gemm_convolution.hpp" +//#include "cpu/gemm_x8s8s32x_convolution.hpp" +//#include "cpu/ref_convolution.hpp" +//#include "cpu/jit_avx512_core_x8s8s32x_deconvolution.hpp" +//#include "cpu/jit_avx512_core_x8s8s32x_1x1_deconvolution.hpp" +//#include "cpu/ref_deconvolution.hpp" +//#include "cpu/ref_shuffle.hpp" +//#include "cpu/jit_uni_eltwise.hpp" +//#include "cpu/ref_eltwise.hpp" +//#include "cpu/ref_softmax.hpp" +#include "cpu/jit_uni_pooling.hpp" +//#include "cpu/jit_uni_i8i8_pooling.hpp" +//#include "cpu/ref_pooling.hpp" +//#include "cpu/nchw_pooling.hpp" +//#include "cpu/nhwc_pooling.hpp" +//#include "cpu/jit_avx512_common_lrn.hpp" +//#include "cpu/jit_uni_lrn.hpp" +//#include "cpu/ref_lrn.hpp" +//#include "cpu/jit_uni_batch_normalization.hpp" +//#include "cpu/ref_batch_normalization.hpp" +//#include "cpu/ncsp_batch_normalization.hpp" +//#include "cpu/nspc_batch_normalization.hpp" +//#include "cpu/ref_inner_product.hpp" +//#include "cpu/gemm_inner_product.hpp" +//#include "cpu/gemm_x8s8s32x_inner_product.hpp" +//#include "cpu/jit_uni_dw_convolution.hpp" +//#include "cpu/jit_avx512_core_u8s8s32x_wino_convolution.hpp" +#include "cpu/jit_avx512_core_fp32_wino_conv_2x3.hpp" + +namespace mkldnn { +namespace impl { +namespace cpu { + +status_t cpu_engine_t::memory_create(memory_t **memory, + const memory_desc_t *md, void *handle) { + auto _memory = new cpu_memory_t(this, md, handle); + if (_memory == nullptr) + return status::out_of_memory; + + status_t status = _memory->init(); + if (status != status::success) { + delete _memory; + return status; + } + + return safe_ptr_assign<memory_t>(*memory, _memory); +} + +using pd_create_f = mkldnn::impl::engine_t::primitive_desc_create_f; + +namespace { +using namespace mkldnn::impl::data_type; + +#define INSTANCE(...) &primitive_desc_t::create<__VA_ARGS__::pd_t> +static const pd_create_f cpu_impl_list[] = { + /* RNN */ + /* + INSTANCE(ref_rnn_fwd_f32_t), + INSTANCE(ref_rnn_fwd_u8s8_t), + INSTANCE(ref_rnn_bwd_f32_t), + */ + /* conv */ + /* + INSTANCE(jit_avx512_common_dw_convolution_fwd_t), + INSTANCE(jit_avx512_common_dw_convolution_bwd_data_t), + INSTANCE(jit_avx512_common_dw_convolution_bwd_weights_t), + INSTANCE(jit_avx512_common_1x1_convolution_fwd_f32_t), + INSTANCE(jit_avx512_common_1x1_convolution_bwd_data_f32_t), + INSTANCE(jit_avx512_common_1x1_convolution_bwd_weights_t), + */ + INSTANCE(jit_avx512_core_fp32_wino_conv_2x3_fwd_t), + INSTANCE(jit_avx512_core_fp32_wino_conv_4x3_fwd_t), + //INSTANCE(jit_avx512_core_fp32_wino_conv_4x3_bwd_data_t), + //INSTANCE(jit_avx512_core_fp32_wino_conv_4x3_bwd_weights_t), + INSTANCE(jit_avx512_common_convolution_winograd_fwd_t), + //INSTANCE(jit_avx512_common_convolution_winograd_bwd_data_t), + //INSTANCE(jit_avx512_common_convolution_winograd_bwd_weights_t), + INSTANCE(jit_avx512_common_convolution_fwd_t<f32>), + //INSTANCE(jit_avx512_common_convolution_bwd_data_t<f32>), + //INSTANCE(jit_avx512_common_convolution_bwd_weights_t<f32>), + /* + INSTANCE(jit_avx2_dw_convolution_fwd_t), + INSTANCE(jit_avx2_dw_convolution_bwd_data_t), + INSTANCE(jit_avx2_dw_convolution_bwd_weights_t), + INSTANCE(jit_avx2_1x1_convolution_fwd_t), + INSTANCE(jit_avx2_1x1_convolution_bwd_data_t), + INSTANCE(jit_avx2_1x1_convolution_bwd_weights_t), + INSTANCE(jit_sse42_dw_convolution_fwd_t), + INSTANCE(jit_sse42_dw_convolution_bwd_data_t), + INSTANCE(jit_sse42_dw_convolution_bwd_weights_t), + INSTANCE(jit_sse42_1x1_convolution_fwd_t), + */ + INSTANCE(jit_avx2_convolution_fwd_t), + //INSTANCE(jit_avx2_convolution_bwd_data_t), + //INSTANCE(jit_avx2_convolution_bwd_weights_t), + INSTANCE(jit_sse42_convolution_fwd_t), + /* + INSTANCE(gemm_convolution_fwd_t), + INSTANCE(gemm_convolution_bwd_data_t), + INSTANCE(gemm_convolution_bwd_weights_t), + INSTANCE(ref_convolution_fwd_t<f32>), + INSTANCE(ref_convolution_bwd_data_t<f32, f32, f32, f32>), + INSTANCE(ref_convolution_bwd_weights_t<f32, f32, f32, f32>), + */ + /* conv (int) */ + /* + INSTANCE(jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<f32>), + INSTANCE(jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<s32>), + INSTANCE(jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<s8>), + INSTANCE(jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<u8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<u8,f32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<u8,s32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<u8,u8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<u8,s8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<s8,f32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<s8,s32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<s8,u8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<s8,s8>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<u8,f32>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<u8,s32>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<u8,u8>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<u8,s8>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<s8,f32>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<s8,s32>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<s8,u8>), + INSTANCE(jit_avx512_core_x8s8s32x_convolution_fwd_t<s8,s8>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<u8, s32>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<u8, u8>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<u8, s8>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<u8, f32>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<s8, s32>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<s8, u8>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<s8, s8>), + INSTANCE(_gemm_x8s8s32x_convolution_fwd_t<s8, f32>), + INSTANCE(_gemm_u8s8s32x_convolution_bwd_data_t<s32>), + INSTANCE(_gemm_u8s8s32x_convolution_bwd_data_t<u8>), + INSTANCE(_gemm_u8s8s32x_convolution_bwd_data_t<s8>), + INSTANCE(_gemm_u8s8s32x_convolution_bwd_data_t<f32>), + INSTANCE(ref_convolution_fwd_t<u8, s8, f32, s32>), + INSTANCE(ref_convolution_fwd_t<u8, s8, s32, s32>), + INSTANCE(ref_convolution_fwd_t<u8, s8, s8, s32>), + INSTANCE(ref_convolution_fwd_t<u8, s8, u8, s32>), + INSTANCE(ref_convolution_bwd_data_t<f32, s8, u8, s32>), + INSTANCE(ref_convolution_bwd_data_t<s32, s8, u8, s32>), + INSTANCE(ref_convolution_bwd_data_t<s8, s8, u8, s32>), + INSTANCE(ref_convolution_bwd_data_t<u8, s8, u8, s32>), + */ + /* deconv */ + /* + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<u8,f32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<u8,s32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<u8,u8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<u8,s8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<s8,f32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<s8,s32>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<s8,u8>), + INSTANCE(jit_avx512_core_x8s8s32x_1x1_deconvolution_fwd_t<s8,s8>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<u8,s32>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<u8,u8>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<u8,s8>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<u8,f32>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<s8,s32>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<s8,u8>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<s8,s8>), + INSTANCE(_jit_avx512_core_x8s8s32x_deconvolution_fwd_t<s8,f32>), + INSTANCE(ref_deconvolution_bwd_weights_t), + INSTANCE(ref_deconvolution_bwd_data_t), + INSTANCE(ref_deconvolution_fwd_t), + */ + /* shuffle */ + /* + INSTANCE(ref_shuffle_t<4>), // f32 or s32 + INSTANCE(ref_shuffle_t<1>), // s8 or u8 + */ + /* eltwise */ + /* + INSTANCE(jit_uni_eltwise_fwd_t<avx512_common>), + INSTANCE(jit_uni_eltwise_bwd_t<avx512_common>), + INSTANCE(jit_uni_eltwise_fwd_t<avx2>), + INSTANCE(jit_uni_eltwise_bwd_t<avx2>), + INSTANCE(jit_uni_eltwise_fwd_t<sse42>), + INSTANCE(jit_uni_eltwise_bwd_t<sse42>), + INSTANCE(ref_eltwise_fwd_t<f32>), + INSTANCE(ref_eltwise_bwd_t<f32>), + */ + /* eltwise (int) */ + /* + INSTANCE(ref_eltwise_fwd_t<s32>), + INSTANCE(ref_eltwise_fwd_t<s8>), + INSTANCE(ref_eltwise_fwd_t<u8>), + INSTANCE(ref_eltwise_bwd_t<s32>), + */ + /* softmax */ + /* + INSTANCE(ref_softmax_fwd_t<f32>), + INSTANCE(ref_softmax_bwd_t<f32>), + */ + /* pool */ + INSTANCE(jit_uni_pooling_fwd_t<avx512_common>), + //INSTANCE(jit_uni_pooling_bwd_t<avx512_common>), + INSTANCE(jit_uni_pooling_fwd_t<avx>), + //INSTANCE(jit_uni_pooling_bwd_t<avx>), + INSTANCE(jit_uni_pooling_fwd_t<sse42>), + //INSTANCE(jit_uni_pooling_bwd_t<sse42>), + /* + INSTANCE(nchw_pooling_fwd_t<f32>), + INSTANCE(nchw_pooling_bwd_t<f32>), + INSTANCE(nhwc_pooling_fwd_t<f32>), + INSTANCE(nhwc_pooling_bwd_t<f32>), + INSTANCE(ref_pooling_fwd_t<f32>), + INSTANCE(ref_pooling_bwd_t<f32>), + */ + /* pool (int) */ + /* + INSTANCE(jit_uni_i8i8_pooling_fwd_t<avx512_core>), + INSTANCE(jit_uni_i8i8_pooling_fwd_t<avx2>), + INSTANCE(ref_pooling_fwd_t<s32>), + INSTANCE(ref_pooling_fwd_t<s8, s32>), + INSTANCE(ref_pooling_fwd_t<u8, s32>), + INSTANCE(ref_pooling_bwd_t<s32>), + */ + /* lrn */ + /* + INSTANCE(jit_avx512_common_lrn_fwd_t), + INSTANCE(jit_avx512_common_lrn_bwd_t), + INSTANCE(jit_uni_lrn_fwd_t<avx2>), + INSTANCE(jit_uni_lrn_bwd_t<avx2>), + INSTANCE(jit_uni_lrn_fwd_t<sse42>), + INSTANCE(ref_lrn_fwd_t<f32>), + INSTANCE(ref_lrn_bwd_t<f32>), + */ + /* batch normalization */ + /* + INSTANCE(jit_uni_batch_normalization_fwd_t<avx512_common>), + INSTANCE(jit_uni_batch_normalization_bwd_t<avx512_common>), + INSTANCE(jit_uni_batch_normalization_fwd_t<avx2>), + INSTANCE(jit_uni_batch_normalization_bwd_t<avx2>), + INSTANCE(jit_uni_batch_normalization_fwd_t<sse42>), + INSTANCE(jit_uni_batch_normalization_bwd_t<sse42>), + INSTANCE(ncsp_batch_normalization_fwd_t), + INSTANCE(ncsp_batch_normalization_bwd_t), + INSTANCE(nspc_batch_normalization_fwd_t), + INSTANCE(nspc_batch_normalization_bwd_t), + INSTANCE(ref_batch_normalization_fwd_t<f32>), + INSTANCE(ref_batch_normalization_bwd_t<f32>), + INSTANCE(ref_batch_normalization_fwd_t<s8>), + */ + /* inner product */ + /* + INSTANCE(gemm_inner_product_fwd_t<f32>), + INSTANCE(gemm_inner_product_bwd_data_t<f32>), + INSTANCE(gemm_inner_product_bwd_weights_t<f32>), + INSTANCE(ref_inner_product_fwd_t<f32>), + INSTANCE(ref_inner_product_bwd_data_t<f32, f32, f32, f32>), + INSTANCE(ref_inner_product_bwd_weights_t<f32>), + */ + /* inner product (int) */ + /* + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<u8, u8>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<u8, s8>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<u8, s32>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<u8, f32>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<s8, u8>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<s8, s8>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<s8, s32>), + INSTANCE(gemm_x8s8s32x_inner_product_fwd_t<s8, f32>), + INSTANCE(ref_inner_product_fwd_t<u8, s8, u8, s32>), + INSTANCE(ref_inner_product_fwd_t<u8, s8, s8, s32>), + INSTANCE(ref_inner_product_fwd_t<u8, s8, s32, s32>), + INSTANCE(ref_inner_product_fwd_t<u8, s8, f32, s32>), + */ + /* eol */ + nullptr, +}; +#undef INSTANCE +} + +const pd_create_f* cpu_engine_t::get_implementation_list() const { + return cpu_impl_list; +} + +cpu_engine_factory_t engine_factory; + +} +} +} + +// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s |