73 lines
2.2 KiB
C++
73 lines
2.2 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/funcs/stack_functor.h"
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#if defined(__NVCC__) || defined(__HIPCC__)
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#include <thrust/device_vector.h>
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#endif
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namespace phi {
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template <typename T, typename Context>
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void UnStackKernel(const Context &dev_ctx,
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const DenseTensor &x,
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int axis,
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int num UNUSED,
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std::vector<DenseTensor *> outs) {
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auto *dy = &x;
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auto dx = outs;
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if (axis < 0) axis += dy->dims().size();
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int64_t n = dy->dims()[axis];
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std::vector<T *> dx_datas(n); // NOLINT
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for (int64_t i = 0; i < n; i++) {
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dx_datas[i] = dev_ctx.template Alloc<T>(dx[i]);
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}
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auto dy_data = dy->data<T>();
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if (dy->numel() == 0) {
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for (int64_t i = 0; i < n; i++) {
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dev_ctx.template Alloc<T>((outs)[i]);
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(outs)[i]->Resize((outs)[i]->dims());
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}
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return;
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}
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int64_t pre = 1;
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for (int i = 0; i < axis; ++i) pre *= dy->dims()[i];
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int64_t total_num = dy->numel();
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int64_t post = total_num / (n * pre);
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// TODO(large-tensor): StackGradFunctorForRange not support int64
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PADDLE_ENFORCE_LE_INT_MAX(total_num, "total_num");
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#if defined(__NVCC__) || defined(__HIPCC__)
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thrust::device_vector<T *> device_dx_vec(dx_datas);
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auto dx_data_arr = device_dx_vec.data().get();
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#else
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auto dx_data_arr = dx_datas.data();
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#endif
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funcs::StackGradFunctorForRange(
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dev_ctx, dx_data_arr, dy_data, total_num, n, post);
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#if defined(__NVCC__) || defined(__HIPCC__)
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// Wait() must be called because device_dx_vec may be destructed before
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// kernel ends
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dev_ctx.Wait();
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#endif
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}
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} // namespace phi
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