wehub-resource-sync
80 lines
2.6 KiB
Plaintext
80 lines
2.6 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/take_along_axis_grad_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/utils/data_type.h"
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#include "paddle/phi/kernels/funcs/gather_scatter_functor.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace phi {
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template <typename T, typename Context>
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void TakeAlongAxisGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& index,
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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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// We need to know the shape of input matrix to determine the shape of grad
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// matrix of input.
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x_grad->Resize(x.dims());
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dev_ctx.template Alloc<T>(x_grad);
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if (x_grad->numel() == 0) {
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return;
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}
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// Set to zero tensor.
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funcs::SetConstant<Context, T> functor;
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functor(dev_ctx, x_grad, static_cast<T>(0));
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const auto& index_type = index.dtype();
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_add_kernel<T, int32_t>(
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*x_grad,
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axis,
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index,
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out_grad,
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true,
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dev_ctx); // the gradient of gather is scatter
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_add_kernel<T, int64_t>(
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*x_grad, axis, index, out_grad, true, dev_ctx);
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} else {
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PADDLE_THROW(common::errors::InvalidArgument(
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"The data type of input index is expected "
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"to be int32 or int64, but received %s.",
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DataTypeToString(index_type)));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(take_along_axis_grad,
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GPU,
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ALL_LAYOUT,
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phi::TakeAlongAxisGradKernel,
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float,
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double,
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int64_t,
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int,
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int16_t,
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uint8_t,
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phi::float16,
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phi::bfloat16) {}
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