Ë Â¯wgãó$—dZddlZddlZd„Zd„Zy)anThis file provides a location for operators that help exporting models via onnx. E.g. `shape_as_tensor` and `reshape_from_tensor_shape` are to make all dynamic sizes operations traceable. NOTE: at one point these functions were implemented differently. Since then we have implemented these directly in ATen, so this file is kept purely for backward-compatibility. éNcó,—tj|«S)a.Get the shape of a tensor as a tensor. Args: x (Tensor): The input tensor. Returns: Tensor: A tensor of shape [len(x.shape)] containing the size of each dimension of x. Example: >>> x = torch.randn(2, 3) >>> shape_as_tensor(x) tensor([2, 3]) )ÚtorchÚ_shape_as_tensor)Úxs úY/home/mcse/projects/flask/flask-venv/lib/python3.12/site-packages/torch/onnx/operators.pyÚshape_as_tensorrs€ô × !Ñ ! !Ó $Ð$ócó.—tj||«S)a…Reshape a tensor to the given shape. This function is used to make dynamic size operations traceable when exporting models via ONNX. This function is kept for backward-compatibility. It is implemented directly in ATen. Parameters: x (Tensor): the tensor to be reshaped. shape (Tensor): the target shape. Returns: Tensor: the reshaped tensor. )rÚ_reshape_from_tensor)rÚshapes rÚreshape_from_tensor_shaper "s€ô × %Ñ % a¨Ó /Ð/r )Ú__doc__rÚ torch.onnxrr ©r rúrsðñó Ûò%ó$ 0r