wehub-resource-sync
70 lines
2.4 KiB
Plaintext
70 lines
2.4 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/expand_grad_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/funcs/reduce_function.h"
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#include "paddle/phi/kernels/reduce_sum_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void ExpandGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const IntArray& shape,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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auto expand_shape = shape.GetData();
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if (expand_shape.empty()) {
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Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad);
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return;
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}
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if ((x_grad && x_grad->numel() == 0) || out_grad.numel() == 0) {
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Full<T, Context>(dev_ctx, x_grad->dims(), 0, x_grad);
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return;
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}
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if (x_grad->dims() == out_grad.dims()) {
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Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad);
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} else {
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std::vector<int> reduce_dims =
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funcs::GetReduceDim(x_grad->dims(), out_grad.dims(), -1);
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SumKernel<T, Context>(
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dev_ctx, out_grad, reduce_dims, out_grad.dtype(), false, x_grad);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(expand_grad,
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GPU,
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ALL_LAYOUT,
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phi::ExpandGradKernel,
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float,
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double,
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int,
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int64_t,
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bool,
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int16_t,
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uint8_t,
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int8_t,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {}
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