Software Engineering And Web Development With PyTorch Functions
is_floating_point() checks if tensor is float type, while is_complex() checks for complex type. is_nonzero() checks if single-element tensor is nonzero.
Buy Me a Coffee☕ *Memos: My post explains isreal(), isnan() and isfinite(). My post explains isinf(), isposinf() and isneginf(). My post explains isin(). My post explains torch.nan and torch.inf. My post explains type promotion, result_type(), promote_types() and can_cast(). is_floating_point() can check if the 0D or more D tensor of zero or more elements is float type, getting the scalar of a boolean value as shown below: *Memos: is_floating_point() can be used with torch or a tensor. The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool)...