tf.keras.backend.print_tensor

Prints message and the tensor value when evaluated.

View aliases

Compat aliases for migration

tf.compat.v1.keras.backend.print_tensor, tf.compat.v2.keras.backend.print_tensor

tf.keras.backend.print_tensor(
    x, message=''
)

Note that print_tensor returns a new tensor identical to x which should be used in the following code. Otherwise the print operation is not taken into account during evaluation.

Example:

>>> x = tf.constant([[1.0, 2.0], [3.0, 4.0]])
>>> tf.keras.backend.print_tensor(x)
<tf.Tensor: shape=(2, 2), dtype=float32, numpy=
  array([[1., 2.],
         [3., 4.]], dtype=float32)>

Arguments:

x: Tensor to print.
message: Message to print jointly with the tensor.

Returns:

The same tensor x, unchanged.