Returns the size of a tensor.
tfp.experimental.distributions.marginal_fns.ps.size(
input, out_type=None, name=None
)
See also tf.shape.
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)<tf.Tensor: shape=(), dtype=int32, numpy=12>
Args | |
|---|---|
input
|
A Tensor or SparseTensor.
|
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.)
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type out_type. Defaults to tf.int32.
|
numpy compatibility
Equivalent to np.size()