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# PyTorch torch.result_type Function * * Pytorch torch Reference Manual](#) `torch.result_type` is a function in PyTorch used to determine the result type of an operation. It accepts tensors or scalars as input and returns the data type that should be used after performing the relevant operation. ### Function Definition torch.result_type(tensor, scalar) ### Parameter Description * `tensor`: Input tensor or data type * `scalar`: Scalar value or another tensor * * * ## Usage Examples ## Example import torch # Create tensors of different types a = torch.tensor([1,2,3], dtype=torch.float32) b = torch.tensor([4,5,6], dtype=torch.float64) # Get result type result_dtype = torch.result_type(a, b) print("Result type of float32 and float64:", result_dtype) # Using scalar c = torch.tensor([1,2,3], dtype=torch.int32) result_dtype2 = torch.result_type(c,1.5) print("Result type of int32 and 1.5:", result_dtype2) Output: Result type of float32 and float64: torch.float64 Result type of int32 and 1.5: torch.float32 * * Pytorch torch Reference Manual](#)