tf.compat.v1.placeholder_with_default

A placeholder op that passes through input when its output is not fed.

tf.compat.v1.placeholder_with_default(
    input, shape, name=None
)

Migrate to TF2

This API is strongly discouraged for use with eager execution and tf.function. The primary use of this API is for testing computation wrapped within a tf.function where the input tensors might not have statically known fully-defined shapes. The same can be achieved by creating a concrete function from the tf.function with a tf.TensorSpec input which has partially defined shapes. For example, the code

@tf.function
def f():
  x = tf.compat.v1.placeholder_with_default(
      tf.constant([[1., 2., 3.], [4., 5., 6.]]), [None, 3])
  y = tf.constant([[1.],[2.], [3.]])
  z = tf.matmul(x, y)
  assert z.shape[0] == None
  assert z.shape[1] == 1
 
f()

can easily be replaced by

@tf.function
def f(x):
  y = tf.constant([[1.],[2.], [3.]])
  z = tf.matmul(x, y)
  assert z.shape[0] == None
  assert z.shape[1] == 1
 
g = f.get_concrete_function(tf.TensorSpec([None, 3]))

You can learn more about tf.function at Better performance with tf.function.

Description

input A Tensor. The default value to produce when output is not fed.
shape A tf.TensorShape or list of ints. The (possibly partial) shape of the tensor.
name A name for the operation (optional).

A Tensor. Has the same type as input.