wehub-resource-sync
69 lines
2.4 KiB
C++
69 lines
2.4 KiB
C++
// 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/core/kernel_registry.h"
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#include "paddle/phi/kernels/impl/sequence_expand_kernel_impl.h"
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namespace phi {
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/*
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*Given Grad(Out)
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*
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* Grad(Out).lod = [[0, 2],
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* [0, 3, 6]]
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* Grad(Out).data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
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* Then
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* Grad(X).data = [(0.1 + 0.2 + 0.3), (0.4 + 0.5 + 0.6)]
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* = [0.6, 1.5]
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* Grad(X).lod = Input(X).lod
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*
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* */
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template <typename T>
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struct SequenceExpandGradFunctor<CPUContext, T> {
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void operator()(const CPUContext& dev_ctx,
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const DenseTensor& dout,
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const Vector<size_t>& x_lod, /*expand source lod*/
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const Vector<size_t>& ref_lod, /*expand referenced lod*/
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DenseTensor* dx) {
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int dout_offset = 0;
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for (size_t i = 1; i < ref_lod.size(); ++i) {
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int repeat_num = ref_lod[i] - ref_lod[i - 1];
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if (repeat_num > 0) {
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int x_start = x_lod[i - 1];
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int x_end = x_lod[i];
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int x_seq_len = x_end - x_start;
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if (x_seq_len == 0) continue;
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auto dx_sub = dx->Slice(x_start, x_end);
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dx_sub.Resize(common::flatten_to_1d(dx_sub.dims()));
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int dout_end = dout_offset + repeat_num * x_seq_len;
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auto dout_sub = dout.Slice(dout_offset, dout_end);
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dout_sub.Resize({repeat_num, dx_sub.dims()[0]});
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funcs::ColwiseSum<CPUContext, T> col_sum;
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col_sum(dev_ctx, dout_sub, &dx_sub);
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dout_offset += repeat_num * x_seq_len;
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}
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}
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}
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};
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} // namespace phi
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PD_REGISTER_KERNEL(sequence_expand_grad,
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CPU,
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ALL_LAYOUT,
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phi::SequenceExpandGradKernel,
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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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