Control Flow

Note: Functions taking Tensor arguments can also take anything accepted by tf.convert_to_tensor.

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