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42 lines
1.6 KiB
42 lines
1.6 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/framework/op_registry.h"
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#include "paddle/operators/modified_huber_loss_op.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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template <typename T>
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class ModifiedHuberLossGradGPUKernel : public framework::OpKernel {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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// auto* in0 = context.Input<Tensor>("X");
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// auto* in1 = context.Input<Tensor>("Y");
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// auto* in2 = context.Input<Tensor>("intermediate_val");
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// auto* in3 = context.Input<Tensor>(framework::GradVarName("Out"));
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// auto* out0 = context.Output<Tensor>(framework::GradVarName("X"));
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// auto* out1 = context.Output<Tensor>(framework::GradVarName("X"));
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_GPU_KERNEL(
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modified_huber_loss,
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ops::ModifiedHuberLossKernel<paddle::platform::GPUPlace, float>);
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REGISTER_OP_GPU_KERNEL(modified_huber_loss_grad,
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ops::ModifiedHuberLossGradGPUKernel<float>);
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