tf.shape

Returns the shape of a tensor.

Used in the notebooks

Used in the guide Used in the tutorials

See also tf.size, tf.rank.

tf.shape 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)
<tf.Tensor: shape=(3,), dtype=int32, numpy=array([2, 2, 3], dtype=int32)>
a = tf.keras.layers.Input((None, 10))
tf.shape(a)
<tf.Tensor ... shape=(3,) dtype=int32>

In these cases, using tf.Tensor.shape will return more informative results.

a.shape
TensorShape(