parameters: (self, blob)
docstring: Sets the filters. The dimensions:
  
          - **BatchLength** * **BatchWidth** * **ListSize** is filter_count
          - **Height**, **Width** are taken from filter_size
          - **Depth**, **Channels** are equal to the inputs' dimensions
docstring_summary: Sets the filters. The dimensions:
docstring_tokens: Sets the filters . The dimensions :
function: def filter(self, blob):
          """Sets the filters. The dimensions:
  
          - **BatchLength** * **BatchWidth** * **ListSize** is filter_count
          - **Height**, **Width** are taken from filter_size
          - **Depth**, **Channels** are equal to the inputs' dimensions
          """
          if not isinstance(blob, Blob.Blob):
              raise ValueError('The `blob` must be neoml.Blob.Blob.')
  
          self._internal.set_filter(blob._internal)
function_tokens: def filter ( self , blob ) : if not isinstance ( blob , Blob . Blob ) : raise ValueError ( 'The `blob` must be neoml.Blob.Blob.' ) self . _internal . set_filter ( blob . _internal )