wehub-resource-sync
62 lines
2.0 KiB
Plaintext
62 lines
2.0 KiB
Plaintext
// 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/log_softmax_grad_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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#include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h"
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namespace phi {
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template <typename T, typename Context>
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void LogSoftmaxGradKernel(const Context &dev_ctx,
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const DenseTensor &out,
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const DenseTensor &out_grad,
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int axis,
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DenseTensor *x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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const int rank = out.dims().size();
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// For 0D Tensor
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if (rank == 0) {
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funcs::set_constant(dev_ctx, x_grad, static_cast<T>(0.0));
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return;
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}
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if (out.numel() == 0) return;
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SoftmaxBackwardCUDAKernelDriver<T, true>(
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dev_ctx, out, out_grad, axis, x_grad);
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}
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} // namespace phi
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#ifdef PADDLE_WITH_HIP
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PD_REGISTER_KERNEL(log_softmax_grad,
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GPU,
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ALL_LAYOUT,
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phi::LogSoftmaxGradKernel,
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float,
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phi::float16,
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phi::bfloat16) {}
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#else
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PD_REGISTER_KERNEL(log_softmax_grad,
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GPU,
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ALL_LAYOUT,
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phi::LogSoftmaxGradKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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#endif
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