53 lines
1.9 KiB
53 lines
1.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <glog/logging.h>
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#include "BufferArg.h"
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#include "paddle/math/SparseMatrix.h"
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namespace paddle {
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const SequenceArg& BufferArg::sequence() const {
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CHECK_EQ(bufferType_, TENSOR_SEQUENCE_DATA);
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return dynamic_cast<const SequenceArg&>(*this);
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}
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const SparseMatrixArg& BufferArg::sparse() const {
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CHECK_EQ(bufferType_, TENSOR_SPARSE);
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return dynamic_cast<const SparseMatrixArg&>(*this);
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}
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SparseMatrixArg::SparseMatrixArg(const CpuSparseMatrix& sparse, ArgType argType)
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: BufferArg(sparse, argType),
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row_(reinterpret_cast<void*>(sparse.getRows()), VALUE_TYPE_INT32),
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col_(reinterpret_cast<void*>(sparse.getCols()), VALUE_TYPE_INT32),
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nnz_(sparse.getElementCnt()),
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format_(static_cast<SparseDataFormat>(sparse.getFormat())),
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type_(static_cast<SparseDataType>(sparse.getValueType())) {
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bufferType_ = TENSOR_SPARSE;
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}
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SparseMatrixArg::SparseMatrixArg(const GpuSparseMatrix& sparse, ArgType argType)
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: BufferArg(sparse, argType),
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row_(reinterpret_cast<void*>(sparse.getRows()), VALUE_TYPE_INT32),
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col_(reinterpret_cast<void*>(sparse.getCols()), VALUE_TYPE_INT32),
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nnz_(sparse.getElementCnt()),
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format_(static_cast<SparseDataFormat>(sparse.getFormat())),
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type_(static_cast<SparseDataType>(sparse.getValueType())) {
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bufferType_ = TENSOR_SPARSE;
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}
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} // namespace paddle
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