LostTech.TensorFlow : API Documentation

Type tf.experimental

Namespace tensorflow

Methods

Properties

Public static methods

IContextManager<T> function_executor_type(string executor_type)

Context manager for setting the executor of eager defined functions.

Eager defined functions are functions decorated by tf.contrib.eager.defun.
Parameters
string executor_type
a string for the name of the executor to be used to execute functions defined by tf.contrib.eager.defun.

object function_executor_type_dyn(object executor_type)

Context manager for setting the executor of eager defined functions.

Eager defined functions are functions decorated by tf.contrib.eager.defun.
Parameters
object executor_type
a string for the name of the executor to be used to execute functions defined by tf.contrib.eager.defun.

void output_all_intermediates(Nullable<bool> state)

Whether to output all intermediates from functional control flow ops.

The "default" behavior to is to output all intermediates when using v2 control flow inside Keras models in graph mode (possibly inside Estimators). 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 infernce-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.
Parameters
Nullable<bool> state
True, False or None. None restores the default behavior.

object output_all_intermediates_dyn(object state)

Whether to output all intermediates from functional control flow ops.

The "default" behavior to is to output all intermediates when using v2 control flow inside Keras models in graph mode (possibly inside Estimators). 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 infernce-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.
Parameters
object state
True, False or None. None restores the default behavior.

Public properties

PythonFunctionContainer function_executor_type_fn get;

PythonFunctionContainer output_all_intermediates_fn get;