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# PyTorch torch.promote_types Function * * Pytorch torch Reference Manual](#) `torch.promote_types` is a function in PyTorch used for type promotion. It accepts multiple data types as input and returns the common type (most suitable type) that can accommodate all input types. ### Function Definition torch.promote_types(type1, type2) ### Parameter Description * `type1`: First data type * `type2`: Second data type * * * ## Usage Example ## Example import torch # Type promotion example dtype1 = torch.float32 dtype2 = torch.float64 # Get common type result_dtype = torch.promote_types(dtype1, dtype2) print("Common type of float32 and float64:", result_dtype) # Integer type and floating-point type dtype3 = torch.int32 dtype4 = torch.float32 result_dtype2 = torch.promote_types(dtype3, dtype4) print("Common type of int32 and float32:", result_dtype2) Output result: Common type of float32 and float64: torch.float64 Common type of int32 and float32: torch.float32 * * Pytorch torch Reference Manual](#)