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# Control Flow
Note: Functions taking `Tensor` arguments can also take anything accepted by
`tf.convert_to_tensor`.
[TOC]
## Control Flow Operations
TensorFlow provides several operations and classes that you can use to control
the execution of operations and add conditional dependencies to your graph.
* `tf.identity`
* `tf.tuple`
* `tf.group`
* `tf.no_op`
* `tf.count_up_to`
* `tf.cond`
* `tf.case`
* `tf.while_loop`
## Logical Operators
TensorFlow provides several operations that you can use to add logical operators
to your graph.
* `tf.logical_and`
* `tf.logical_not`
* `tf.logical_or`
* `tf.logical_xor`
## Comparison Operators
TensorFlow provides several operations that you can use to add comparison
operators to your graph.
* `tf.equal`
* `tf.not_equal`
* `tf.less`
* `tf.less_equal`
* `tf.greater`
* `tf.greater_equal`
* `tf.where`
## Debugging Operations
TensorFlow provides several operations that you can use to validate values and
debug your graph.
* `tf.is_finite`
* `tf.is_inf`
* `tf.is_nan`
* `tf.verify_tensor_all_finite`
* `tf.check_numerics`
* `tf.add_check_numerics_ops`
* `tf.Assert`
* `tf.Print`
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