(tensor, expected_rank=None, name=None)
return shape
Returns a list of the shape of tensor, preferring static dimensions.

	Args:
		tensor: A tf.Tensor object to find the shape of.
		expected_rank: (optional) int. The expected rank of `tensor`. If this is
			specified and the `tensor` has a different rank, and exception will be
			thrown.
		name: Optional name of the tensor for the error message.

	Returns:
		A list of dimensions of the shape of tensor. All static dimensions will
		be returned as python integers, and dynamic dimensions will be returned
		as tf.Tensor scalars.
Returns a list of the shape of tensor, preferring static dimensions.
Returns a list of the shape of tensor preferring static dimensions .
def get_shape_list(tensor, expected_rank=None, name=None):
	"""Returns a list of the shape of tensor, preferring static dimensions.

	Args:
		tensor: A tf.Tensor object to find the shape of.
		expected_rank: (optional) int. The expected rank of `tensor`. If this is
			specified and the `tensor` has a different rank, and exception will be
			thrown.
		name: Optional name of the tensor for the error message.

	Returns:
		A list of dimensions of the shape of tensor. All static dimensions will
		be returned as python integers, and dynamic dimensions will be returned
		as tf.Tensor scalars.
	"""
	if name is None:
		name = tensor.name

	if expected_rank is not None:
		assert_rank(tensor, expected_rank, name)

	shape = tensor.shape.as_list()

	non_static_indexes = []
	for (index, dim) in enumerate(shape):
		if dim is None:
			non_static_indexes.append(index)

	if not non_static_indexes:
		return shape

	dyn_shape = tf.shape(tensor)
	for index in non_static_indexes:
		shape[index] = dyn_shape[index]
	return shape
def get_shape_list ( tensor , expected_rank = None , name = None ) : if name is None : name = tensor . name if expected_rank is not None : assert_rank ( tensor , expected_rank , name ) shape = tensor . shape . as_list ( ) non_static_indexes = [ ] for ( index , dim ) in enumerate ( shape ) : if dim is None : non_static_indexes . append ( index ) if not non_static_indexes : return shape dyn_shape = tf . shape ( tensor ) for index in non_static_indexes : shape [ index ] = dyn_shape [ index ] return shape