wehub-resource-sync
77 lines
2.3 KiB
C++
77 lines
2.3 KiB
C++
// Copyright (c) 2023 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 <vector>
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/core/generator.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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#ifdef PADDLE_WITH_CUDA
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#include "paddle/phi/kernels/gpu/cudnn_lstm_cache.h"
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#endif
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#ifdef PADDLE_WITH_HIP
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#include "paddle/phi/kernels/gpu/miopen_lstm_cache.h"
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#endif
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namespace phi {
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template <typename T, typename Type>
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inline bool is_continuous(const Type &weight_list) {
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bool continuous = true;
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for (size_t i = 0; i < weight_list.size() - 1; ++i) {
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auto *in_data = weight_list[i]->template data<T>();
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auto *in_after_data = weight_list[i + 1]->template data<T>();
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auto in_size = weight_list[i]->numel();
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bool temp = in_data + in_size == in_after_data;
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continuous = continuous && temp;
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}
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return continuous;
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}
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inline int size_sum(const std::vector<const DenseTensor *> &weight_list) {
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int size = 0;
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for (size_t i = 0; i < weight_list.size(); ++i) {
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auto in_size = weight_list[i]->numel();
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size += in_size;
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}
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return size;
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}
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template <typename T>
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inline void weight_to_tensor(
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const Place &place,
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gpuStream_t stream,
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const std::vector<const DenseTensor *> &weight_list,
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DenseTensor *weight) {
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auto weight_data = weight->data<T>();
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int weight_offset = 0;
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for (size_t i = 0; i < weight_list.size(); ++i) {
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const T *in_data = weight_list[i]->data<T>();
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auto in_size = weight_list[i]->numel();
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memory_utils::Copy(weight->place(),
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weight_data + weight_offset,
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weight_list[i]->place(),
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in_data,
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in_size * sizeof(T),
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stream);
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weight_offset += in_size;
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}
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}
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} // namespace phi
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