tf.contrib.eager.run
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Runs the program with an optional main function and argv list.
tf.contrib.eager.run(
main=None, argv=None
)
The program will run with eager execution enabled.
Example:
import tensorflow as tf
# Import subject to future changes:
from tensorflow.contrib.eager.python import tfe
def main(_):
u = tf.constant(6.0)
v = tf.constant(7.0)
print(u * v)
if __name__ == "__main__":
tfe.run()
Args |
main
|
the main function to run.
|
argv
|
the arguments to pass to it.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.eager.run\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/framework/ops.py#L5810-L5835) |\n\nRuns the program with an optional main function and argv list. \n\n tf.contrib.eager.run(\n main=None, argv=None\n )\n\nThe program will run with eager execution enabled.\n\n#### Example:\n\n import tensorflow as tf\n # Import subject to future changes:\n from tensorflow.contrib.eager.python import tfe\n\n def main(_):\n u = tf.constant(6.0)\n v = tf.constant(7.0)\n print(u * v)\n\n if __name__ == \"__main__\":\n tfe.run()\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|------------------------------|\n| `main` | the main function to run. |\n| `argv` | the arguments to pass to it. |\n\n\u003cbr /\u003e"]]