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RELEASE.md
enabled by calling `tf.debugging.is_traceback_filtering_enabled()`. Note that this feature is only available with Python 3.7 or higher. * Improve the informativeness of error messages raised by Keras `Layer.__call__()`, by adding the full list of argument values passed to the layer in every exception. * Introduce the `tf.compat.v1.keras.utils.track_tf1_style_variables`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
``` python a = tf.Variable(1.0) tf.debugging.check_numerics(a, message='') b = tf.Variable(np.nan) try: tf.debugging.check_numerics(b, message='Checking b') except Exception as e: assert "Checking b : Tensor had NaN values" in e.message c = tf.Variable(np.inf) try: tf.debugging.check_numerics(c, message='Checking c') except Exception as e:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)