mirror of
https://github.com/saymrwulf/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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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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*/
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#pragma once
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#include "caffe2/core/tensor.h"
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namespace caffe2 {
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// This is a wrapper around the TensorPrinter that doesn't require the user to
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// explicit specify the type of the tensor while calling the Print() method.
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// It also supports a convenience function with a default constructed printer as
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// a static method.
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class SmartTensorPrinter {
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public:
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// The proliferation of constructors is to give the feature parity with
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// TensorPrinter
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// yet not repeat the default arguments explicitly in case they change in the
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// future.
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SmartTensorPrinter() = default;
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explicit SmartTensorPrinter(const std::string& tensor_name);
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SmartTensorPrinter(
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const std::string& tensor_name,
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const std::string& file_name);
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SmartTensorPrinter(
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const std::string& tensor_name,
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const std::string& file_name,
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int limit);
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void Print(const Tensor<CPUContext>& tensor);
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template <class Context>
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void PrintMeta(const Tensor<Context>& tensor) {
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tensorPrinter_.PrintMeta(tensor);
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}
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// Uses a default constructed SmartTensorPrinter
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static void PrintTensor(const Tensor<CPUContext>& tensor);
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// Uses a default constructed SmartTensorPrinter
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template <class Context>
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void PrintTensorMeta(const Tensor<Context>& tensor) {
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DefaultTensorPrinter().PrintMeta(tensor);
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}
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private:
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// Returns a thread local default constructed TensorPrinter
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static SmartTensorPrinter& DefaultTensorPrinter();
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TensorPrinter tensorPrinter_;
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};
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}
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