wehub-resource-sync
60 lines
1.9 KiB
C++
60 lines
1.9 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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#include "paddle/phi/kernels/identity_loss_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/kernels/mean_all_grad_kernel.h"
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#include "paddle/phi/kernels/reduce_sum_grad_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void IdentityLossGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const int reduction,
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DenseTensor* x_grad) {
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switch (reduction) {
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case 0:
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// sum
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ReduceSumGradKernel<T>(
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dev_ctx, x, out_grad, std::vector<int64_t>{0}, false, true, x_grad);
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break;
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case 1:
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// mean
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MeanAllGradKernel<T>(dev_ctx, x, out_grad, x_grad);
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break;
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case 2:
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// none
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Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad);
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break;
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default:
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// error
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PADDLE_THROW(common::errors::InvalidArgument(
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"reduction should be 0, 1 and 2. But get %d", reduction));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(identity_loss_grad,
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CPU,
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ALL_LAYOUT,
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phi::IdentityLossGradKernel,
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float,
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double) {}
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