tf.compat.v1.experimental.output_all_intermediates
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Whether to output all intermediates from functional control flow ops.
tf.compat.v1.experimental.output_all_intermediates(
state
)
The "default" behavior to is to output all intermediates when using v2 control
flow inside Keras models in graph mode. This is needed to support taking
gradients of v2 control flow. In graph mode, Keras can sometimes freeze the
forward graph before the gradient computation which does not work for v2
control flow since it requires updating the forward ops to output the needed
intermediates. We work around this by proactively outputting the needed
intermediates when building the forward pass itself. Ideally any such extra
tensors should be pruned out at runtime. However, if for any reason this
doesn't work for you or if you have an inference-only model you can turn this
behavior off using
tf.compat.v1.experimental.output_all_intermediates(False).
If with the default behavior you are still seeing errors of the form
"Connecting to invalid output X of source node Y which has Z outputs" try
setting tf.compat.v1.experimental.output_all_intermediates(True) and
please file an issue at https://github.com/tensorflow/tensorflow/issues.
Args |
|---|
state
|
True, False or None. None restores the default behavior.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.compat.v1.experimental.output_all_intermediates\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/control_flow_util_v2.py#L404-L429) |\n\nWhether to output all intermediates from functional control flow ops. \n\n tf.compat.v1.experimental.output_all_intermediates(\n state\n )\n\nThe \"default\" behavior to is to output all intermediates when using v2 control\nflow inside Keras models in graph mode. This is needed to support taking\ngradients of v2 control flow. In graph mode, Keras can sometimes freeze the\nforward graph before the gradient computation which does not work for v2\ncontrol flow since it requires updating the forward ops to output the needed\nintermediates. We work around this by proactively outputting the needed\nintermediates when building the forward pass itself. Ideally any such extra\ntensors should be pruned out at runtime. However, if for any reason this\ndoesn't work for you or if you have an inference-only model you can turn this\nbehavior off using\n[`tf.compat.v1.experimental.output_all_intermediates(False)`](../../../../tf/compat/v1/experimental/output_all_intermediates).\n\nIf with the default behavior you are still seeing errors of the form\n\"Connecting to invalid output X of source node Y which has Z outputs\" try\nsetting [`tf.compat.v1.experimental.output_all_intermediates(True)`](../../../../tf/compat/v1/experimental/output_all_intermediates) and\nplease file an issue at https://github.com/tensorflow/tensorflow/issues.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|----------------------------------------------------------|\n| `state` | True, False or None. None restores the default behavior. |\n\n\u003cbr /\u003e"]]
View source on GitHub