tf.compat.v1.GraphKeys

Standard names to use for graph collections.

The standard library uses various well-known names to collect and retrieve values associated with a graph. For example, the tf.Optimizer subclasses default to optimizing the variables collected under tf.GraphKeys.TRAINABLE_VARIABLES if none is specified, but it is also possible to pass an explicit list of variables.

The following standard keys are defined:

• GLOBAL_VARIABLES: the default collection of Variable objects, shared across distributed environment (model variables are subset of these). See tf.compat.v1.global_variables for more details. Commonly, all TRAINABLE_VARIABLES variables will be in MODEL_VARIABLES, and all MODEL_VARIABLES variables will be in GLOBAL_VARIABLES.
• LOCAL_VARIABLES: the subset of Variable objects that are local to each machine. Usually used for temporarily variables, like counters. Note: use tf.contrib.framework.local_variable to add to this collection.
• MODEL_VARIABLES: the subset of Variable objects that are used in the model for inference (feed forward). Note: use tf.contrib.framework.model_variable to add to this collection.
• TRAINABLE_VARIABLES: the subset of Variable objects that will be trained by an optimizer. See tf.compat.v1.trainable_variables for more details.
• SUMMARIES: the summary Tensor objects that have been created in the graph. See tf.compat.v1.summary.merge_all for more details.
• QUEUE_RUNNERS: the QueueRunner objects that are used to produce input for a computation. See tf.compat.v1.train.start_queue_runners for more details.
• MOVING_AVERAGE_VARIABLES: the subset of Variable objects that will also keep moving averages. See tf.compat.v1.moving_average_variables for more details.
• REGULARIZATION_LOSSES: regularization losses collected during graph construction.

The following standard keys are defined, but their collections are not automatically populated as many of the others are:

• WEIGHTS
• BIASES
• ACTIVATIONS

Class Variables
ACTIVATIONS	'activations'
ASSET_FILEPATHS	'asset_filepaths'
BIASES	'biases'
CONCATENATED_VARIABLES	'concatenated_variables'
COND_CONTEXT	'cond_context'
EVAL_STEP	'eval_step'
GLOBAL_STEP	'global_step'
GLOBAL_VARIABLES	'variables'
INIT_OP	'init_op'
LOCAL_INIT_OP	'local_init_op'
LOCAL_RESOURCES	'local_resources'
LOCAL_VARIABLES	'local_variables'
LOSSES	'losses'
METRIC_VARIABLES	'metric_variables'
MODEL_VARIABLES	'model_variables'
MOVING_AVERAGE_VARIABLES	'moving_average_variables'
QUEUE_RUNNERS	'queue_runners'
READY_FOR_LOCAL_INIT_OP	'ready_for_local_init_op'
READY_OP	'ready_op'
REGULARIZATION_LOSSES	'regularization_losses'
RESOURCES	'resources'
SAVEABLE_OBJECTS	'saveable_objects'
SAVERS	'savers'
SUMMARIES	'summaries'
SUMMARY_OP	'summary_op'
TABLE_INITIALIZERS	'table_initializer'
TRAINABLE_RESOURCE_VARIABLES	'trainable_resource_variables'
TRAINABLE_VARIABLES	'trainable_variables'
TRAIN_OP	'train_op'
UPDATE_OPS	'update_ops'
VARIABLES	'variables'
WEIGHTS	'weights'
WHILE_CONTEXT	'while_context'