mirror of
https://github.com/zebrajr/pytorch.git
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dbab9b73b6
Summary: 1. Remove avx2 support in mkldnn 2. Seperate mkl, mklml, and mkldnn 3. Fix convfusion test case Pull Request resolved: https://github.com/pytorch/pytorch/pull/12170 Reviewed By: yinghai Differential Revision: D10207126 Pulled By: orionr fbshipit-source-id: 1e62eb47943f426a89d57e2d2606439f2b04fd51
84 lines
2.3 KiB
C++
84 lines
2.3 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://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,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "upsample_nearest_op.h"
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#ifdef CAFFE2_USE_MKLDNN
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#include "caffe2/ideep/operators/operator_fallback_ideep.h"
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#include "caffe2/ideep/utils/ideep_operator.h"
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#endif
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namespace caffe2 {
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#ifdef CAFFE2_USE_MKLDNN
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REGISTER_IDEEP_OPERATOR(
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UpsampleNearest,
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IDEEPFallbackOp<UpsampleNearestOp<float, CPUContext>>);
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#endif
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REGISTER_CPU_OPERATOR(UpsampleNearest, UpsampleNearestOp<float, CPUContext>);
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REGISTER_CPU_OPERATOR(
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UpsampleNearestGradient,
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UpsampleNearestGradientOp<float, CPUContext>);
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OPERATOR_SCHEMA(UpsampleNearest)
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.NumInputs(1)
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.NumOutputs(1)
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.SetDoc(R"DOC(
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Nearest neighbor upsampling operation. Implementation taken from THCUNN.
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)DOC")
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.Arg(
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"scale",
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"(int) default 2; integer upsampling factor.")
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.Input(
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0,
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"X",
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"4D feature map input of shape (N, C, H, W).")
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.Output(
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0,
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"Y",
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"4D feature map of shape (N, C, scale * H, scale * W); Values are "
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"neareast neighbor samples from X.");
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OPERATOR_SCHEMA(UpsampleNearestGradient)
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.NumInputs(2)
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.NumOutputs(1)
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.Input(
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0,
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"X",
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"See UpsampleNearest.")
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.Input(
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1,
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"dY",
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"Gradient of forward output 0 (Y).")
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.Output(
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0,
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"dX",
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"Gradient of forward input 0 (X).");
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class GetUpsampleNearestGradient : public GradientMakerBase {
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using GradientMakerBase::GradientMakerBase;
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vector<OperatorDef> GetGradientDefs() override {
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return SingleGradientDef(
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"UpsampleNearestGradient",
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"",
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vector<string>{I(0), GO(0)},
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vector<string>{GI(0)});
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}
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};
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REGISTER_GRADIENT(UpsampleNearest, GetUpsampleNearestGradient);
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} // namespace caffe2
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