r"""Removes dimension of shape 1. Args: inp: input tensor. axis: place of axis to be removed. Returns: output tensor

fast 0..255 * 0..255 => 0..255 rounded multiplication

r"""Calculates fan_in / fan_out value for given weight tensor. This function assumes input tensor is stored in ``NCHW`` format. Note:

r"""Concat some tensors Args: inps: input tensors to concat. axis: over which dimension the tensors are concatenated. Default: 0

r"""Get client of python XML RPC server.

r"""Gets Module's attribute compatible with complex key from Module's :meth:`~.named_children`. Supports handling structure containing list or dic

get total and free memory on the computing device in bytes

! * \brief Equality test */

lock and acquire the operator

--------------- make cudnn-frontend tensor descriptor --------------- */

r"""Element-wise maximum of tensor elements. Compare two tensors and returns a new tensor containing the element-wise maxima. If one of t

r"""Returns an iterable of key-module pairs for all the modules within this module, including itself, where 'key' is the dotted path from this

r"""Recursively set ``module``'s qconfig through :meth:`~.Module.apply`. Args: module: root module to traverse recursively. qconf

r"""Save an object to disk file. The saved object must be a :class:`~.module.Module`, :attr:`.Module.state_dict` or :attr:`.Optimizer.state_di

Convert the result tensor to a numpy ndarray

shortcut for raw_storage().use_count(), but won't trigger lazy alloc

wait until forward finish in sync model