torch.square torch.square(input: Tensor, *, out: Optional[Tensor]) → Tensor Returns a new tensor with the square of the elements of input. Parameters input (Tensor) – the input tensor. …

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Feb 18, 2019 · There is also a torch.square function now (PR) that you can call like A.square().

Built with Sphinx using a theme provided by Read the Docs. Access comprehensive developer documentation for PyTorch. Get in-depth tutorials for beginners and advanced developers. …

Oct 30, 2023 · PyTorch‘s square() function is a simple yet versatile tool for element-wise squaring of tensors. In this comprehensive guide, we‘ll explore how to fully utilize square() for your …

Dec 31, 2024 · square() 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). out= must be used. My …

torch.square operates on tensors element-wise, meaning it squares each individual element. It creates a new tensor as output, not modifying the original input tensor. It's generally more …

Returns a new tensor with the square of the elements of input. input (Tensor) – the input tensor. out (Tensor, optional) – the output tensor. >>> torch.square(a) . PyTorch has a BSD-style …

Jun 16, 2023 · What is the purpose of torch.neg, torch.square, and torch.sqrt? Based on the doc, they are just regular operations. That is, the following lines are exactly the same. [torch.neg(x), …

torch.square(input, out=None) → Tensor Returns a new tensor with the square of the elements of input. Parameters input ( Tensor) – the input tensor. out ( Tensor, optional) – the output …