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tf.keras.backend.print_tensor
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/print_tensor