(self, shape, dtype=tf.float32, name=None)
Creates a placeholder for a batch of tensors of a given shape and dtype

        Parameters
        ----------
        shape: [int]
            shape of a single elemenet of the batch
        dtype: tf.dtype
            number representation used for tensor contents
        name: str
            name of the underlying placeholder
Creates a placeholder for a batch of tensors of a given shape and dtype
Creates a placeholder for a batch of tensors of a given shape and dtype
def __init__(self, shape, dtype=tf.float32, name=None):
        """Creates a placeholder for a batch of tensors of a given shape and dtype

        Parameters
        ----------
        shape: [int]
            shape of a single elemenet of the batch
        dtype: tf.dtype
            number representation used for tensor contents
        name: str
            name of the underlying placeholder
        """
        super().__init__(tf.placeholder(dtype, [None] + list(shape), name=name))
def __init__ ( self , shape , dtype = tf . float32 , name = None ) : super ( ) . __init__ ( tf . placeholder ( dtype , [ None ] + list ( shape ) , name = name ) )