def __init__()

in maddpg/common/tf_util.py [0:0]

• 4 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self, shape, name=None):
        """Takes input in uint8 format which is cast to float32 and divided by 255
        before passing it to the model.

        On GPU this ensures lower data transfer times.

        Parameters
        ----------
        shape: [int]
            shape of the tensor.
        name: str
            name of the underlying placeholder
        """

        super().__init__(tf.placeholder(tf.uint8, [None] + list(shape), name=name))
        self._shape = shape
        self._output = tf.cast(super().get(), tf.float32) / 255.0