diff options
Diffstat (limited to 'tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.GraphKeys.md')
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.GraphKeys.md | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.GraphKeys.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.GraphKeys.md new file mode 100644 index 0000000000..1d656f4018 --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.GraphKeys.md @@ -0,0 +1,36 @@ +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: + +* `VARIABLES`: the `Variable` objects that comprise a model, and + must be saved and restored together. See + [`tf.all_variables()`](../../api_docs/python/state_ops.md#all_variables) + for more details. +* `TRAINABLE_VARIABLES`: the subset of `Variable` objects that will + be trained by an optimizer. See + [`tf.trainable_variables()`](../../api_docs/python/state_ops.md#trainable_variables) + for more details. +* `SUMMARIES`: the summary `Tensor` objects that have been created in the + graph. See + [`tf.merge_all_summaries()`](../../api_docs/python/train.md#merge_all_summaries) + for more details. +* `QUEUE_RUNNERS`: the `QueueRunner` objects that are used to + produce input for a computation. See + [`tf.start_queue_runners()`](../../api_docs/python/train.md#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()`](../../api_docs/python/state_ops.md#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 |