! * \brief dump to visualizer format */

! * \brief combine two hash values */

r"""Loads a computing graph as a Network object. Args: model_path: file path of mge model. outspec: only load the sub

r"""Replace the Nodes in the graph. Args: repl_dict: the map {old_Node: new_Node} that specifies how to replace the Nodes.

check that fop(gop(a, b), c) has been changed

Check sign. \param arg number to check \retval true for negative number \retval false for positive number template<typename T> typename enable<bool,T>

Scans the module object and returns an iterable for the :class:`~.Tensor` and :class:`~.Module` attributes that agree with the ``predicate``.

r"""Recursively disable ``module`` fake quantization in QATModule through :meth:`~.Module.apply` Args: module: root module to do disable

r"""Element-wise :math:`e^x` function. Calculates an approximation to the exponential function for each element :math:`x_i` of the input tens

! * \brief whether at least one comp node has been set */

r"""Given a list of values and a ``TreeDef``, builds a pytree. This is the inverse operation of ``tree_flatten``.

r"""consume this iterator and return its content as a list

=================== MakeShapeEmitter ====================*/

r"""Get the Nodes that constitute this graph. Args: recursive: whether to get the Nodes in the subgraph. Default:

r"""Calculates the norm of tensor elements over a given axis. This function is able to return different matrix norms, or one of an infinite

r"""Instruct GradManager to track operations on tensors, so that gradients with respect to those tensors could be evaluated later. :m

r"""Delete unused expr.