Returns the shape of a tensor.

# Aliases:

• tf.compat.v2.shape

 tf.shape(
    input,
    out_type=tf.dtypes.int32,
    name=None
)

# Used in the guide:

• Writing customlayers and modelswith Keras

# Used in the tutorials:

• DeepDream
• Neuralstyletransfer
• Pix2Pix
• Transformer model for languageunderstanding`` This operation returns a 1-D integer tensor representing the shape of input.

# For example:

 t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.shape(t)  # [2, 2, 3]

# Args:

• input: A Tensor or SparseTensor.
• out_type: (Optional) The specified output type of the operation (int32 or int64). Defaults to tf.int32.
• name: A name for the operation (optional).

# Returns:

A Tensor of type out_type.