tf.autograph.trace
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Traces argument information at compilation time.
tf.autograph.trace(
*args
)
trace
is useful when debugging, and it always executes during the tracing
phase, that is, when the TF graph is constructed.
Example usage
import tensorflow as tf
for i in tf.range(10):
tf.autograph.trace(i)
# Output: <Tensor ...>
Args |
*args
|
Arguments to print to sys.stdout .
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.autograph.trace\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/autograph/utils/ag_logging.py#L87-L107) |\n\nTraces argument information at compilation time.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.autograph.trace`](https://www.tensorflow.org/api_docs/python/tf/autograph/trace)\n\n\u003cbr /\u003e\n\n tf.autograph.trace(\n *args\n )\n\n`trace` is useful when debugging, and it always executes during the tracing\nphase, that is, when the TF graph is constructed.\n\n*Example usage* \n\n import tensorflow as tf\n\n for i in tf.range(10):\n tf.autograph.trace(i)\n # Output: \u003cTensor ...\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|-------------------------------------|\n| `*args` | Arguments to print to `sys.stdout`. |\n\n\u003cbr /\u003e"]]