* libnd4j first step of softmax mkldnn implementation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j raw implementation of mkldnn softmax Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j merge master and added softmax to MklDnnTests Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j some corrections for softmax mkldnn Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j minor corrections to avoid risk connected with negative axis usage Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed dataType selection per request Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fix for mac and windows builds Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j builds fix Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j first spet of elementwize tanh implementation on mkldnn Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed typo in error message for softmax MKLDNN, test case added, implementation of tanh on MKLDNN, need supported DataType testing Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j several fixes for tanh and temporary performance test added Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed mkldnn platform loader for tanh Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j MklDnn tanh removed unsupported data types, removed performance test case, added more appropriate equivalence test case, code clean up Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed problem with empty input case for MklDnn tanh and softmax Signed-off-by: Oleg <oleg.semeniv@gmail.com>
78 lines
2.7 KiB
C++
78 lines
2.7 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include "testlayers.h"
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#include <initializer_list>
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#include <ops/declarable/PlatformHelper.h>
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#ifdef HAVE_MKLDNN
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#include <ops/declarable/platform/mkldnn/mkldnnUtils.h>
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#endif
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class MklDnnTests : public testing::Test {
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public:
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};
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static void printer(std::initializer_list<sd::ops::platforms::PlatformHelper*> helpers) {
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for (auto v:helpers) {
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nd4j_printf("Initialized [%s]\n", v->name().c_str());
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}
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}
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TEST_F(MklDnnTests, helpers_includer) {
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// we need this block, to make sure all helpers are still available within binary, and not optimized out by linker
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#ifdef HAVE_MKLDNN
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sd::ops::platforms::PLATFORM_conv2d_ENGINE_CPU conv2d;
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sd::ops::platforms::PLATFORM_conv2d_bp_ENGINE_CPU conv2d_bp;
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sd::ops::platforms::PLATFORM_conv2d_ENGINE_CPU conv3d;
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sd::ops::platforms::PLATFORM_conv2d_bp_ENGINE_CPU conv3d_bp;
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sd::ops::platforms::PLATFORM_avgpool2d_ENGINE_CPU avgpool2d;
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sd::ops::platforms::PLATFORM_avgpool2d_bp_ENGINE_CPU avgpool2d_bp;
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sd::ops::platforms::PLATFORM_maxpool2d_ENGINE_CPU maxpool2d;
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sd::ops::platforms::PLATFORM_maxpool2d_bp_ENGINE_CPU maxpool2d_bp;
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sd::ops::platforms::PLATFORM_avgpool3dnew_ENGINE_CPU avgpool3d;
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sd::ops::platforms::PLATFORM_avgpool3dnew_bp_ENGINE_CPU avgpool3d_bp;
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sd::ops::platforms::PLATFORM_maxpool3dnew_ENGINE_CPU maxpool3d;
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sd::ops::platforms::PLATFORM_maxpool3dnew_bp_ENGINE_CPU maxpool3d_bp;
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sd::ops::platforms::PLATFORM_lrn_ENGINE_CPU lrn;
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sd::ops::platforms::PLATFORM_batchnorm_ENGINE_CPU batchnorm;
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sd::ops::platforms::PLATFORM_matmul_ENGINE_CPU matmul;
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sd::ops::platforms::PLATFORM_softmax_ENGINE_CPU softmax;
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sd::ops::platforms::PLATFORM_tanh_ENGINE_CPU tanh;
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printer({&conv2d, &conv2d_bp, &conv3d, &conv3d_bp, &avgpool2d, &avgpool2d_bp, &maxpool2d, &maxpool2d_bp, &avgpool3d, &avgpool3d_bp, &maxpool3d, &maxpool3d_bp, &lrn, &batchnorm, &matmul, &softmax, &tanh });
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#endif
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} |