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tf.GraphKeys

class tf.GraphKeys

See the guide: Building Graphs > Graph collections

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.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.trainable_variables for more details.
  • SUMMARIES: the summary Tensor objects that have been created in the graph. See tf.summary.merge_all for more details.
  • QUEUE_RUNNERS: the QueueRunner objects that are used to produce input for a computation. See tf.train.start_queue_runners for more details.
  • MOVING_AVERAGE_VARIABLES: the subset of Variable objects that will also keep moving averages. See tf.moving_average_variables for more details.
  • REGULARIZATION_LOSSES: regularization losses collected during graph construction.
  • WEIGHTS: weights inside neural network layers
  • BIASES: biases inside neural network layers
  • ACTIVATIONS: activations of neural network layers

Class Members

ACTIVATIONS

ASSET_FILEPATHS

BIASES

CONCATENATED_VARIABLES

COND_CONTEXT

EVAL_STEP

GLOBAL_STEP

GLOBAL_VARIABLES

INIT_OP

LOCAL_INIT_OP

LOCAL_RESOURCES

LOCAL_VARIABLES

LOSSES

MODEL_VARIABLES

MOVING_AVERAGE_VARIABLES

QUEUE_RUNNERS

READY_FOR_LOCAL_INIT_OP

READY_OP

REGULARIZATION_LOSSES

RESOURCES

SAVEABLE_OBJECTS

SAVERS

SUMMARIES

SUMMARY_OP

TABLE_INITIALIZERS

TRAINABLE_RESOURCE_VARIABLES

TRAINABLE_VARIABLES

TRAIN_OP

UPDATE_OPS

VARIABLES

WEIGHTS

WHILE_CONTEXT

__init__

Defined in tensorflow/python/framework/ops.py.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/GraphKeys