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#pragma once
#include "caffe2/core/tensor.h"
namespace caffe2 {
// This is a wrapper around the TensorPrinter that doesn't require the user to
// explicit specify the type of the tensor while calling the Print() method.
// It also supports a convenience function with a default constructed printer as
// a static method.
class TORCH_API SmartTensorPrinter {
public:
// The proliferation of constructors is to give the feature parity with
// TensorPrinter
// yet not repeat the default arguments explicitly in case they change in the
// future.
SmartTensorPrinter() = default;
explicit SmartTensorPrinter(const std::string& tensor_name);
SmartTensorPrinter(
const std::string& tensor_name,
const std::string& file_name);
SmartTensorPrinter(
const std::string& tensor_name,
const std::string& file_name,
int limit);
void Print(const Tensor& tensor);
void PrintMeta(const Tensor& tensor) {
tensorPrinter_.PrintMeta(tensor);
}
// Uses a default constructed SmartTensorPrinter
static void PrintTensor(const Tensor& tensor);
// Uses a default constructed SmartTensorPrinter
void PrintTensorMeta(const Tensor& tensor) {
DefaultTensorPrinter().PrintMeta(tensor);
}
private:
// Returns a thread local default constructed TensorPrinter
static SmartTensorPrinter& DefaultTensorPrinter();
TensorPrinter tensorPrinter_;
};
}
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