tf.compat.v1.size

Returns the size of a tensor.

tf.compat.v1.size(
    input, name=None, out_type=None
)

Returns a 0-D Tensor representing the number of elements in input of type out_type. Defaults to tf.int32.

For example:

t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.size(t)  # 12

input A Tensor or SparseTensor.
name A name for the operation (optional).
out_type (Optional) The specified non-quantized numeric output type of the operation. Defaults to tf.int32. (Note: there is an experimental flag, tf_shape_default_int64 that changes the default to tf.int64. This is an unsupported, experimental setting that causes known breakages.)

A Tensor of type out_type. Defaults to tf.int32.

numpy compatibility

Equivalent to np.size()