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964e30de1d
Summary: Breaking out of #8338 This PR is a workaround for a bug with CUDA9.2 + GCC7. Here is the error this PR fixed: .../pytorch/caffe2/operators/elementwise_ops.h: In constructor ‘caffe2::BinaryElementwiseWithArgsOp<InputTypes, Context, Functor, OutputTypeMap>::BinaryElementwiseWithArgsOp(const caffe2::OperatorDef&, caffe2::Workspace*)’: .../pytorch/caffe2/operators/elementwise_ops.h:106:189: error: ‘GetSingleArgument<bool>’ is not a member of ‘caffe2::BinaryElementwiseWithArgsOp<InputTypes, Context, Functor, OutputTypeMap>’ BinaryElementwiseWithArgsOp(const OperatorDef& operator_def, Workspace* ws) Pull Request resolved: https://github.com/pytorch/pytorch/pull/10510 Reviewed By: orionr Differential Revision: D9319742 Pulled By: mingzhe09088 fbshipit-source-id: ce59e3db14539f071f3c20301e77ca36a6fc3f81
76 lines
2.3 KiB
C++
76 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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#ifndef SMOOTH_L1_LOSS_OP_H_
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#define SMOOTH_L1_LOSS_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/logging.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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template <typename T, class Context>
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class SmoothL1LossOp final : public Operator<Context> {
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public:
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SmoothL1LossOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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beta_(this->template GetSingleArgument<float>("beta", 1.)),
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scale_(this->template GetSingleArgument<float>("scale", 1.)) {
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CAFFE_ENFORCE(beta_ > 0);
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CAFFE_ENFORCE(scale_ >= 0);
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}
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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bool RunOnDevice() override {
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// No CPU implementation for now
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CAFFE_NOT_IMPLEMENTED;
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}
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protected:
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float beta_; // Transition point from L1 to L2 loss
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float scale_; // Scale the loss by scale_
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Tensor buff_{Context::GetDeviceType()}; // Buffer for element-wise differences
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};
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template <typename T, class Context>
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class SmoothL1LossGradientOp final : public Operator<Context> {
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public:
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SmoothL1LossGradientOp(const OperatorDef& def, Workspace* ws)
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: Operator<Context>(def, ws),
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beta_(this->template GetSingleArgument<float>("beta", 1.)),
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scale_(this->template GetSingleArgument<float>("scale", 1.)) {
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CAFFE_ENFORCE(beta_ > 0);
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CAFFE_ENFORCE(scale_ >= 0);
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}
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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bool RunOnDevice() override {
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// No CPU implementation for now
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CAFFE_NOT_IMPLEMENTED;
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}
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protected:
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float beta_; // Transition point from L1 to L2 loss
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float scale_; // Scale the loss by scale_
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Tensor buff_{Context::GetDeviceType()}; // Buffer for element-wise differences
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};
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} // namespace caffe2
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#endif // SMOOTH_L1_LOSS_OP_H_
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