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tf.keras.backend.print_tensor

TensorFlow 1 version View source on GitHub

Prints message and the tensor value when evaluated.

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.