wehub-resource-sync
65 lines
2.0 KiB
C++
65 lines
2.0 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/index_add_grad_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.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/full_kernel.h"
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#include "paddle/phi/kernels/index_select_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void IndexAddGradKernel(const Context& dev_ctx,
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const DenseTensor& index,
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const DenseTensor& add_value,
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const DenseTensor& out_grad,
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int dim,
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DenseTensor* x_grad,
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DenseTensor* add_value_grad) {
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if (out_grad.numel() == 0) {
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dev_ctx.template Alloc<T>(x_grad);
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if (add_value_grad) {
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Full<T, Context>(dev_ctx, add_value_grad->dims(), 0, add_value_grad);
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}
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return;
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}
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if (dim < 0) {
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dim += out_grad.dims().size();
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}
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if (x_grad) {
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Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad);
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}
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if (add_value_grad) {
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phi::IndexSelectKernel<T, Context>(
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dev_ctx, out_grad, index, dim, add_value_grad);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(index_add_grad,
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XPU,
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ALL_LAYOUT,
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phi::IndexAddGradKernel,
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float,
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phi::float16,
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phi::bfloat16,
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int,
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int64_t) {}
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