parameters: (self, name, output_name, output_shape, value=0.0)
return_statement: return spec_layer
docstring: Add a fill_static layer to the model that outputs a tensor filled
          with a scalar value given shape as parameter.
          Refer to the **FillStaticLayerParams** message in specification
          (NeuralNetwork.proto) for more details.
  
          Parameters
          ----------
          name: str
              The name of this layer.
          output_name: str
              The output blob name of this layer.
          output_shape: list of int or tuple of int
              The target shape of the output tensor.
          value: float, optional
              A scalar value for the fill operation, default 0.
  
          See Also
          --------
          add_fill_like, add_fill_static
docstring_summary: Add a fill_static layer to the model that outputs a tensor filled
          with a scalar value given shape as parameter.
          Refer to the **FillStaticLayerParams** message in specification
          (NeuralNetwork.proto) for more details.
docstring_tokens: Add a fill_static layer to the model that outputs a tensor filled with a scalar value given shape as parameter . Refer to the ** FillStaticLayerParams ** message in specification ( NeuralNetwork . proto ) for more details .
function: def add_fill_static(self, name, output_name, output_shape, value=0.0):
          """
          Add a fill_static layer to the model that outputs a tensor filled
          with a scalar value given shape as parameter.
          Refer to the **FillStaticLayerParams** message in specification
          (NeuralNetwork.proto) for more details.
  
          Parameters
          ----------
          name: str
              The name of this layer.
          output_name: str
              The output blob name of this layer.
          output_shape: list of int or tuple of int
              The target shape of the output tensor.
          value: float, optional
              A scalar value for the fill operation, default 0.
  
          See Also
          --------
          add_fill_like, add_fill_static
          """
  
          spec_layer = self._add_generic_layer(name, [], [output_name])
          spec_layer_params = spec_layer.fillStatic
          spec_layer_params.value = value
          spec_layer_params.targetShape.extend(output_shape)
          self.rank_dict[output_name] = len(output_shape)
          return spec_layer
function_tokens: def add_fill_static ( self , name , output_name , output_shape , value = 0.0 ) : spec_layer = self . _add_generic_layer ( name , [ ] , [ output_name ] ) spec_layer_params = spec_layer . fillStatic spec_layer_params . value = value spec_layer_params . targetShape . extend ( output_shape ) self . rank_dict [ output_name ] = len ( output_shape ) return spec_layer