parameters: (self, blob)
docstring: Sets the input weights matrix. The dimensions:
  
              - **BatchLength** * **BatchWidth** * **ListSize** is hidden_size
              - **Height** * **Width** * **Depth** * **Channels** is the same as for the input
docstring_summary: Sets the input weights matrix. The dimensions:
docstring_tokens: Sets the input weights matrix . The dimensions :
function: def input_weights(self, blob):
          """Sets the input weights matrix. The dimensions:
  
              - **BatchLength** * **BatchWidth** * **ListSize** is hidden_size
              - **Height** * **Width** * **Depth** * **Channels** is the same as for the input
          """
          if not type(blob) is Blob.Blob:
              raise ValueError('The `blob` must be neoml.Blob.')
  
          self._internal.set_input_weights(blob._internal)
function_tokens: def input_weights ( self , blob ) : if not type ( blob ) is Blob . Blob : raise ValueError ( 'The `blob` must be neoml.Blob.' ) self . _internal . set_input_weights ( blob . _internal )