wehub-resource-sync
75 lines
2.5 KiB
Plaintext
75 lines
2.5 KiB
Plaintext
// Copyright (c) 2024 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_as_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/common_shape.h"
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#include "paddle/phi/kernels/funcs/reduce_function.h"
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#include "paddle/phi/kernels/gpu/reduce_grad.h"
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namespace phi {
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template <typename T, typename Context>
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void ReduceAsGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& target,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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auto reduce_dim = funcs::GetReduceDims(x, target);
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dev_ctx.Alloc(x_grad, x.dtype());
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if (reduce_dim.size() == 0) {
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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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auto update_dims = vectorize(x.dims());
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for (auto i : reduce_dim) {
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update_dims[i] = 1;
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}
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DenseTensor new_out_grad(out_grad.type());
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new_out_grad.ShareDataWith(out_grad);
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new_out_grad.Resize(update_dims);
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using MT = typename MPTypeTrait<T>::Type;
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ReduceGrad<kps::IdentityFunctor<T, MT>>(dev_ctx,
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&new_out_grad,
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x_grad,
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out_grad.dtype(),
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kps::IdentityFunctor<T, MT>());
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}
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} // namespace phi
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PD_REGISTER_KERNEL(reduce_as_grad,
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GPU,
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ALL_LAYOUT,
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phi::ReduceAsGradKernel,
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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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uint8_t,
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int8_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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