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// 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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#include "paddle/framework/reader.h"
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namespace paddle {
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namespace framework {
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DDim Reader::shape(int idx) const {
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PADDLE_ENFORCE_LT(
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idx, shapes_.size(),
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"Cannot get the %d'th shape, 'shapes_' only has %d elements.", idx,
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shapes_.size());
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}
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int RandomReader::ReadNext(std::vector<LoDTensor>* outs) {
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PADDLE_ENFORCE_EQ(
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shapes_.size(), outs.size(),
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"shapes_.size() is %d, while outs.size() is %d. They are not equal.",
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shapes_.size(), outs.size());
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std::minstd_rand engine;
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unsigned int seed = std::random_device()();
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engine.seed(seed);
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std::uniform_real_distribution<float> dist(min_, max_);
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for (int idx = 0; idx < shapes_.size(); ++idx) {
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DDim shape = shapes_[idx];
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LoDTensor* out = outs[idx];
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int64_t numel = out->numel();
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PADDLE_ENFORCE_EQ(product(shape), numel,
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"The product of %d'th shape is %lld, while the "
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"corresponding out's numel is %lld. They are not equal.",
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idx, product(shape), numel);
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for (int64_t i = 0; i < numel, ++i) {
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out[i] = dist(engine);
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}
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}
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return 0;
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}
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} // namespace framework
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} // namespace paddle
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// 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 "paddle/framework/ddim.h"
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#include "paddle/framework/lod_tensor.h"
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namespace paddle {
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namespace framework {
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class Reader {
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public:
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virtual int ReadNext(std::vector<LoDTensor>* outs) = 0;
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DDim shape(int idx) const;
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private:
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std::vector<DDim> shapes_;
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};
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// file readers
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class RandomReader : public Reader {
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public:
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RandomReader(const std::vector<DDim>& shapes, float min, float max)
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: shapes_(shapes), min_(min), max_(max) {}
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int ReadNext(std::vector<LoDTensor>* outs) override;
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private:
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float min_;
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float max_;
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};
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// decorators
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class BatchReader : public Reader {
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public:
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BatchReader(const Reader* reader) : reader_(reader) {}
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int ReadNext(std::vector<LoDTensor>* outs) override;
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private:
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const Reader* reader_;
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};
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class ShuffleReader : public Reader {
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public:
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ShuffleReader(const Reader* reader) : reader_(reader) {}
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int ReadNext(std::vector<LoDTensor>* outs) override;
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private:
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const Reader* reader_;
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};
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} // namespace framework
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} // namespace paddle
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