提交 4b13c80e 编写于 作者: Q qijun

add selected rows

上级 4838ea25
......@@ -53,3 +53,6 @@ endif()
cc_library(tensor_array SRCS tensor_array.cc DEPS lod_tensor)
cc_test(tensor_array_test SRCS tensor_array_test.cc DEPS tensor_array place)
cc_library(selected_rows SRCS selected_rows.cc DEPS tensor)
cc_test(selected_rows_test SRCS selected_rows_test.cc DEPS selected_rows)
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/framework/selected_rows.h"
namespace paddle {
namespace framework {} // namespace framework
} // namespace paddle
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include "paddle/framework/tensor.h"
namespace paddle {
namespace framework {
class SelectedRows {
public:
SelectedRows(const std::vector<int64_t>& rows, const int64_t& height)
: rows_(rows), height_(height) {
value_.reset(new Tensor());
}
SelectedRows() {}
platform::Place place() const { return value_->place(); }
Tensor& value() const { return *value_; }
int64_t height() const { return height_; }
void set_height(int64_t height) { height_ = height; }
const std::vector<int64_t>& rows() const { return rows_; }
void set_rows(const std::vector<int64_t>& rows) { rows_ = rows; }
DDim GetCompleteDims() const {
std::vector<int64_t> dims = vectorize(value_->dims());
dims[0] = height_;
return make_ddim(dims);
}
private:
std::vector<int64_t> rows_;
std::unique_ptr<Tensor> value_{nullptr};
int64_t height_;
};
} // namespace framework
} // namespace paddle
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/framework/selected_rows.h"
#include "gtest/gtest.h"
namespace paddle {
namespace framework {
class SelectedRowsTester : public ::testing::Test {
public:
virtual void SetUp() override {
std::vector<int64_t> rows{0, 4, 7};
int64_t height = 10;
int64_t row_numel = 100;
selected_rows_.reset(new SelectedRows(rows, height));
Tensor& value = selected_rows_->value();
value.mutable_data<float>(
make_ddim({static_cast<int64_t>(rows.size()), row_numel}), place_);
}
protected:
platform::CPUPlace place_;
std::unique_ptr<SelectedRows> selected_rows_{nullptr};
};
TEST_F(SelectedRowsTester, height) { ASSERT_EQ(selected_rows_->height(), 10); }
TEST_F(SelectedRowsTester, dims) {
ASSERT_EQ(selected_rows_->value().dims(), make_ddim({3, 100}));
}
TEST_F(SelectedRowsTester, complete_dims) {
ASSERT_EQ(selected_rows_->GetCompleteDims(), make_ddim({10, 100}));
}
} // namespace framework
} // namespace paddle
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