parameters: (builder, node, graph, err)
docstring: convert to CoreML Squeeze Layer:
      https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4903
docstring_summary: convert to CoreML Squeeze Layer:
      https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4903
docstring_tokens: convert to CoreML Squeeze Layer : https : // github . com / apple / coremltools / blob / 655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492 / mlmodel / format / NeuralNetwork . proto#L4903
function: def _convert_squeeze(builder, node, graph, err):
      """
      convert to CoreML Squeeze Layer:
      https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4903
      """
      axes = node.attrs.get("axes", None)
      builder.add_squeeze(
          name=node.name,
          input_name=node.inputs[0],
          output_name=node.outputs[0],
          axes=axes,
      )
function_tokens: def _convert_squeeze ( builder , node , graph , err ) : axes = node . attrs . get ( "axes" , None ) builder . add_squeeze ( name = node . name , input_name = node . inputs [ 0 ] , output_name = node . outputs [ 0 ] , axes = axes , )