wehub-resource-sync
58 lines
1.7 KiB
C++
58 lines
1.7 KiB
C++
/* Copyright (c) 2020 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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#pragma once
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#include <string>
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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class DenseTensor;
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} // namespace phi
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namespace phi::funcs {
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class PADDLE_API TensorFormatter {
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public:
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TensorFormatter() {}
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std::string Format(const DenseTensor& print_tensor,
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const std::string& tensor_name = "",
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const std::string& message = "");
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template <typename T>
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void FormatData(const DenseTensor& print_tensor,
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std::stringstream& log_stream,
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int precision = 6);
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void Print(const DenseTensor& print_tensor,
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const std::string& tensor_name = "",
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const std::string& message = "");
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void SetPrintTensorType(bool print_tensor_type);
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void SetPrintTensorShape(bool print_tensor_shape);
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void SetPrintTensorLod(bool print_tensor_lod);
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void SetPrintTensorLayout(bool print_tensor_layout);
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void SetSummarize(int64_t summarize);
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private:
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int64_t summarize_ = -1;
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bool print_tensor_type_ = true;
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bool print_tensor_shape_ = true;
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bool print_tensor_lod_ = true;
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bool print_tensor_layout_ = true;
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};
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} // namespace phi::funcs
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