Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
135 changes: 135 additions & 0 deletions paddle/math/RowBuffer.h
Original file line number Diff line number Diff line change
@@ -0,0 +1,135 @@
/* 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 <vector>
#include "MemoryHandle.h"
#include "paddle/utils/Util.h"

namespace paddle {

/**
* @brief The RowBuffer class
* Represent the SparseRow Matrix Data.
*
* If not set memory handler, then the data could be auto growth.
*/
class RowBuffer {
public:
/**
* @brief RowBuffer create a auto-growth row buffer. The row length is width.
* @param width the length of each row, a.k.a matrix width.
*/
explicit RowBuffer(size_t width) : width_(width) {}

/**
* @brief RowBuffer create a row buffer, which cannot be auto-growth.
* @param mem the pre-allocated memory.
* @param width the length of each row, a.k.a matrix width.
*/
RowBuffer(const CpuMemHandlePtr& mem, size_t width)
: preallocatedBuf_(mem), width_(width) {}

/**
* @brief resize resize the buffer with rowCount
* @param rowCnt number of row. matrix height.
*/
inline void resize(int rowCnt) {
if (preallocatedBuf_) {
CHECK(preallocatedBuf_->getSize() >= rowCnt * width_ * sizeof(real));
} else {
rowStore_.resize(rowCnt * width_);
}
}

/**
* @brief get a row buffer with row index.
* @param row the index of row.
* @return row buffer.
*/
inline real* get(int row) const {
if (preallocatedBuf_) {
CHECK_LE((row + 1) * width_ * sizeof(real), preallocatedBuf_->getSize());
return reinterpret_cast<real*>(preallocatedBuf_->getBuf()) + row * width_;
} else {
CHECK_LE((row + 1) * width_, rowStore_.size());
return const_cast<real*>(rowStore_.data() + row * width_);
}
}

/**
* @brief get a row buffer with row index. If row index is larger than local
* buffer, the size of local buffer will grow.
* @param row the index of row.
* @return row buffer.
*/
inline real* getWithAutoGrowth(int row) {
if (preallocatedBuf_) {
return get(row);
} else {
if ((rowStore_.size() <= row * width_)) {
rowStore_.resize((row + 1) * width_);
}
return rowStore_.data() + row * width_;
}
}

/**
* @return raw data buffer.
*/
inline real* data() {
if (preallocatedBuf_) {
return reinterpret_cast<real*>(preallocatedBuf_->getBuf());
} else {
return rowStore_.data();
}
}

/**
* @brief clear local buffer. It only affect auto-growth buffer.
*/
inline void clear() { rowStore_.clear(); }

/**
* @brief get current number of rows.
* @return number of rows.
*/
inline size_t getRowCount() const {
if (preallocatedBuf_) {
return preallocatedBuf_->getSize() / sizeof(real) / width_;
} else {
return rowStore_.size() / width_;
}
}

/**
* @brief get is this buffer can automatically grow or not.
* @return ture if can automacitally grow.
*/
inline bool isAutoGrowth() const { return !preallocatedBuf_; }

/**
* @brief return the width of matrix. a.k.a length of row.
* @return width of matrix
*/
inline size_t getWidth() const { return width_; }

private:
//! TODO(yuyang18): Add resize method to CpuMemHandlePtr, then we can get rid
//! of std::vector here.
CpuMemHandlePtr preallocatedBuf_;
std::vector<real, AlignedAllocator<real, 32>> rowStore_;
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

rowStore_是不是直接用CpuMemoryHandle就可以了,只是resize greater的时候需要一次copy。

Copy link
Collaborator Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

有道理,不过再下一个PR里面加吧。

加了一个TODO注释

size_t width_;
};
} // namespace paddle
42 changes: 15 additions & 27 deletions paddle/math/SparseRowMatrix.h
Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@ limitations under the License. */
#include <string.h>
#include <algorithm>
#include "Matrix.h"
#include "RowBuffer.h"
#include "paddle/utils/Util.h"

DECLARE_bool(allow_inefficient_sparse_update);
Expand Down Expand Up @@ -45,12 +46,9 @@ class SparseRowCpuMatrix : public CpuMatrix {
IndexDictPtr indexDictHandle = nullptr,
bool trans = false)
: CpuMatrix(nullptr, height, width, trans),
storeMat_(dataHandle,
dataHandle ? dataHandle->getSize() / sizeof(real) / width : 0,
width,
trans),
indexDictHandle_(indexDictHandle) {
init(height, width);
buf_.reset(new RowBuffer(dataHandle, width));
}

virtual ~SparseRowCpuMatrix() {}
Expand All @@ -71,25 +69,16 @@ class SparseRowCpuMatrix : public CpuMatrix {
*
* @param row row id in local storage
*/
real* getLocalRow(size_t row) {
if (storeMat_.getData()) return storeMat_.rowBuf(row);
if (rowStore_.size() <= row * width_) {
rowStore_.resize((row + 1) * width_);
}
return rowStore_.data() + row * width_;
}
real* getLocalRow(size_t row) { return buf_->getWithAutoGrowth(row); }

/**
* reserve the storage for rows according to current size of indexDictHandle.
* reserve the storage for rows according to current size of
* indexDictHandle.
*
* This is only used when SparseRowCpuMatrix is constructed with
* indexDictHandle.
*/
void reserveStore() {
if (!storeMat_.getData() && !localIndices_->empty()) {
rowStore_.resize(localIndices_->size() * width_);
}
}
void reserveStore() { buf_->resize(localIndices_->size()); }

// row is the row id in the original matrix
virtual real* getRowBuf(size_t row) { return getRow(row); }
Expand Down Expand Up @@ -117,7 +106,8 @@ class SparseRowCpuMatrix : public CpuMatrix {
*
* If L1 decay set use L1, else if L2 set use L2, otherwise no decay atall.
*
* t0 is a int vector used by L1/L2 decay, size = height of parameter matrix,
* t0 is a int vector used by L1/L2 decay, size = height of parameter
* matrix,
* store the time that each weight row last updated.
*
* Time is batchId, currentTime is current batchId.
Expand Down Expand Up @@ -176,8 +166,7 @@ class SparseRowCpuMatrix : public CpuMatrix {
protected:
template <typename Func>
void apply(Func f) {
real* data = storeMat_.getData() ? storeMat_.getData() : rowStore_.data();
f(data, localIndices_->size() * width_);
f(buf_->data(), localIndices_->size() * width_);
}

void init(size_t height, size_t width);
Expand All @@ -188,25 +177,24 @@ class SparseRowCpuMatrix : public CpuMatrix {
globalIndices_[id] = kUnusedId_;
}
localIndices_->clear();
rowStore_.clear();
buf_->clear();
}

inline void checkStoreSize() {
if (storeMat_.getData()) {
CHECK_LE(localIndices_->size(), storeMat_.getHeight());
} else if (!FLAGS_allow_inefficient_sparse_update) {
if (localIndices_->size() > 0.5 * height_) {
if (buf_->isAutoGrowth()) {
if (buf_->getRowCount() > 0.5 * height_) {
LOG(WARNING)
<< "There are more than 0.5*height (" << localIndices_->size()
<< ") rows are used for sparse "
<< "update, which is not efficient. Considering not use "
<< "sparse_update or set --allow_inefficient_sparse_update=true";
}
} else {
CHECK_LE(localIndices_->size(), buf_->getRowCount());
}
}

CpuMatrix storeMat_;
std::vector<real, AlignedAllocator<real, 32>> rowStore_;
std::unique_ptr<RowBuffer> buf_;
IndexDictPtr indexDictHandle_;
std::vector<unsigned int>* localIndices_; // =&indexDictHandle_->localIndices
unsigned int* globalIndices_; // =indexDictHandle_->globalIndices.data();
Expand Down
1 change: 1 addition & 0 deletions paddle/math/tests/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ add_simple_unittest(test_ExecViaCpu)
add_simple_unittest(test_SIMDFunctions)
add_simple_unittest(test_TrainingAlgorithm)
add_simple_unittest(test_SparseMatrix)
add_simple_unittest(test_RowBuffer)

# TODO(yuyang18): Refactor TestUtil.cpp. Remove this cross module reference.
add_unittest(test_matrixCompare
Expand Down
65 changes: 65 additions & 0 deletions paddle/math/tests/test_RowBuffer.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,65 @@
/* 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 <gtest/gtest.h>
#include "paddle/math/RowBuffer.h"

TEST(RowBuffer, testAutoGrow) {
paddle::RowBuffer buf(128);
ASSERT_EQ(128, buf.getWidth());
ASSERT_TRUE(buf.isAutoGrowth());
buf.resize(2);
ASSERT_EQ(2, buf.getRowCount());
for (size_t i = 0; i < buf.getWidth() * 2; ++i) {
buf.data()[i] = i;
}
for (size_t i = 0; i < buf.getRowCount(); ++i) {
for (size_t j = 0; j < buf.getWidth(); ++j) {
ASSERT_NEAR(i * buf.getWidth() + j, buf.get(i)[j], 1e-5);
}
}

auto data = buf.getWithAutoGrowth(2);
for (size_t i = 0; i < buf.getWidth(); ++i) {
data[i] = i;
}

ASSERT_EQ(3, buf.getRowCount());
for (size_t i = 0; i < buf.getRowCount() - 1; ++i) {
for (size_t j = 0; j < buf.getWidth(); ++j) {
ASSERT_NEAR(i * buf.getWidth() + j, buf.get(i)[j], 1e-5);
}
}
for (size_t i = 0; i < buf.getWidth(); ++i) {
ASSERT_NEAR(i, buf.get(2)[i], 1e-5);
}
}

TEST(RowBuffer, testWithMemBuf) {
paddle::CpuMemHandlePtr mem =
std::make_shared<paddle::CpuMemoryHandle>(128 * 2 * sizeof(real));
paddle::RowBuffer buf(mem, 128);
ASSERT_TRUE(!buf.isAutoGrowth());
ASSERT_EQ(2, buf.getRowCount());
for (size_t i = 0; i < buf.getWidth() * 2; ++i) {
buf.data()[i] = i;
}
for (size_t i = 0; i < buf.getRowCount(); ++i) {
for (size_t j = 0; j < buf.getWidth(); ++j) {
ASSERT_NEAR(i * buf.getWidth() + j, buf.getWithAutoGrowth(i)[j], 1e-5);
}
}

ASSERT_DEATH_IF_SUPPORTED(buf.getWithAutoGrowth(3), ".*");
}