wehub-resource-sync
66 lines
2.5 KiB
C++
66 lines
2.5 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/reduce_sum_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/kernels/cast_kernel.h"
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#include "paddle/phi/kernels/empty_kernel.h"
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#include "paddle/phi/kernels/funcs/reduce_functor.h"
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#include "paddle/phi/kernels/impl/reduce_grad.h"
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namespace phi {
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template <typename T, typename Context>
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void ReduceSumGradKernel(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& dims,
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bool keep_dim,
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bool reduce_all,
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DenseTensor* x_grad) {
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reduce_all = recompute_reduce_all(x, dims, reduce_all);
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if (x_grad && x_grad->numel() == 0) {
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dev_ctx.template Alloc<T>(x_grad);
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return;
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}
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ReduceGradKernel<Context, T, funcs::SumGradFunctor, true>(dev_ctx,
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x,
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paddle::none,
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out_grad,
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dims.GetData(),
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keep_dim,
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reduce_all,
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x_grad);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(sum_grad,
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CPU,
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ALL_LAYOUT,
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phi::ReduceSumGradKernel,
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bool,
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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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int16_t,
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int,
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int64_t,
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phi::complex64,
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phi::complex128) {
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kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
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}
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