tf.keras.backend.print_tensor

TensorFlow 1 version

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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)>