Create a scalar tensor in LibTorch, Part 2

				
					#include <iostream>
#include <torch/torch.h>
	
	// Torch Scalar
	std::cout << "-------------- Torch Scalar --------------\n";
	const auto TorchScalar = torch::Scalar(56.0f);
	std::cout << "TorchScalar value: " << TorchScalar << std::endl;
	std::cout << "TorchScalar is floating point: " << std::boolalpha << TorchScalar.isFloatingPoint() << std::endl;

The provided code initializes a scalar value in LibTorch, which is a single numeric value used in computations. The value of the scalar is 56.0f, represented as a floating-point number, and it is stored in a constant variable named TorchScalar.

				
					const auto TorchScalar = torch::Scalar(56.0f);

To display the value of TorchScalar, the code uses the std::cout stream to output the string “TorchScalar value: ” followed by the value of TorchScalar. A newline character is added to the output using std::endl.

				
					std::cout << "TorchScalar value: " << TorchScalar << std::endl;

In addition, the code checks whether the scalar value is a floating-point number using the isFloatingPoint() method of TorchScalar. The result of this check is printed to the console using std::cout, which outputs the string “TorchScalar is floating point: ” followed by the boolean value indicating whether TorchScalar is a floating-point number. Again, a newline character is added to the output using std::endl.

				
					std::cout << "TorchScalar is floating point: " << std::boolalpha << TorchScalar.isFloatingPoint() << std::endl;

This code can be useful in a variety of machine learning applications where single numeric values need to be manipulated and analyzed.

I hope you find this post useful.

Good luck!.

Photo by Katie Doherty on Unsplash

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