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96 lines
3.5 KiB
96 lines
3.5 KiB
// Copyright (c) 2018 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 <algorithm>
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#include <map>
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#include <memory>
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#include <vector>
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/variable.h"
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#include "paddle/fluid/inference/anakin/engine.h"
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#include "framework/core/net/net.h"
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#include "framework/core/types.h"
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#include "framework/graph/graph.h"
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#include "framework/graph/graph_global_mem.h"
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#include "saber/saber_types.h"
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using anakin::saber::Shape;
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using anakin::AK_FLOAT;
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using anakin::AK_INT8;
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using anakin::PBlock;
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namespace paddle {
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namespace inference {
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namespace anakin {
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std::unique_ptr<framework::LoDTensor> tensor_from_var(
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const framework::Variable& var, const platform::Place& place);
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template <typename TargetT, ::anakin::Precision PrecisionT>
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PBlock<TargetT>* pblock_from_tensor(const framework::LoDTensor& tensor,
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std::vector<int> shape_vec,
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AnakinEngine<TargetT, PrecisionT>* engine) {
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while (shape_vec.size() < 4) {
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shape_vec.insert(shape_vec.begin(), 1);
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}
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Shape shape(shape_vec);
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PBlock<TargetT>* weight = new PBlock<TargetT>(shape, AK_FLOAT);
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engine->RegistBlock(weight);
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float* cpu_data = static_cast<float*>(weight->h_tensor().mutable_data());
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std::copy_n(tensor.data<float>(), tensor.numel(), cpu_data);
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weight->d_tensor().set_shape(shape);
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weight->d_tensor().copy_from(weight->h_tensor());
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return weight;
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}
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template <typename TargetT, ::anakin::Precision PrecisionT>
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PBlock<TargetT>* pblock_from_vector(const std::vector<float>& vec,
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std::vector<int> shape_vec,
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AnakinEngine<TargetT, PrecisionT>* engine) {
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while (shape_vec.size() < 4) {
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shape_vec.insert(shape_vec.begin(), 1);
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}
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Shape shape(shape_vec);
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PBlock<TargetT>* weight = new PBlock<TargetT>(shape, AK_FLOAT);
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engine->RegistBlock(weight);
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auto* weight_data = static_cast<float*>(weight->h_tensor().mutable_data());
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std::copy(std::begin(vec), std::end(vec), weight_data);
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weight->d_tensor().set_shape(shape);
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weight->d_tensor().copy_from(weight->h_tensor());
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return weight;
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}
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template <typename TargetT, ::anakin::Precision PrecisionT>
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PBlock<TargetT>* pblock_from_vector(const std::vector<float>& vec,
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AnakinEngine<TargetT, PrecisionT>* engine) {
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int size = vec.size();
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return pblock_from_vector<TargetT, PrecisionT>(
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vec, std::vector<int>({1, 1, 1, size}), engine);
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}
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template <typename TargetT, ::anakin::Precision PrecisionT>
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PBlock<TargetT>* pblock_from_var(const framework::Variable& var,
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AnakinEngine<TargetT, PrecisionT>* engine) {
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auto tensor = tensor_from_var(var, platform::CPUPlace());
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auto shape = framework::vectorize2int(tensor->dims());
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return pblock_from_tensor<TargetT, PrecisionT>(*tensor, shape, engine);
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}
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} // namespace anakin
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} // namespace inference
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} // namespace paddle
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