nncf/experimental/tensorflow/nncf_network.py
def call(self, inputs, **kwargs):
        """
        Calls the model on new inputs and returns the outputs as tensors.
        We call the model inside the tracing context to add the NNCF
        operations to the graph of the model.

        :param inputs: Input tensor, or dict/list/tuple of input tensors.
        :return: A tensor if there is a single output, or a list of tensors
            if there are more than one outputs.
        """
        xs = self._apply_post_hooks_for_inputs(inputs)
        with get_current_context().enter(in_call=True, wrap_ops=True, model=self):
            outputs = self._model(xs, **kwargs)
        return outputs

        Calls the model on new inputs and returns the outputs as tensors.
        We call the model inside the tracing context to add the NNCF
        operations to the graph of the model.

        :param inputs: Input tensor, or dict/list/tuple of input tensors.
        :return: A tensor if there is a single output, or a list of tensors
            if there are more than one outputs.
        
Calls the model on new inputs and returns the outputs as tensors.
We call the model inside the tracing context to add the NNCF
operations to the graph of the model.
Calls the model on new inputs and returns the outputs as tensors . We call the model inside the tracing context to add the NNCF operations to the graph of the model .
def call(self, inputs, **kwargs):
        xs = self._apply_post_hooks_for_inputs(inputs)
        with get_current_context().enter(in_call=True, wrap_ops=True, model=self):
            outputs = self._model(xs, **kwargs)
        return outputs
def call ( self , inputs , ** kwargs ) : xs = self . _apply_post_hooks_for_inputs ( inputs ) with get_current_context ( ) . enter ( in_call = True , wrap_ops = True , model = self ) : outputs = self . _model ( xs , ** kwargs ) return outputs
Calls the model on new inputs and returns the outputs as tensors.
Calls the model on new inputs and returns the outputs as tensors .
"""
        Calls the model on new inputs and returns the outputs as tensors.
        We call the model inside the tracing context to add the NNCF
        operations to the graph of the model.

        :param inputs: Input tensor, or dict/list/tuple of input tensors.
        :return: A tensor if there is a single output, or a list of tensors
            if there are more than one outputs.
        """
A tensor if there is a single output, or a list of tensors
if there are more than one outputs.
A tensor if there is a single output or a list of tensors if there are more than one outputs .
self
inputs
Input tensor, or dict/list/tuple of input tensors.
Input tensor or dict / list / tuple of input tensors .