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 layersBIASES
: biases inside neural network layersACTIVATIONS
: activations of neural network layersACTIVATIONS
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