clear_session {keras3} | R Documentation |
Resets all state generated by Keras.
Description
Keras manages a global state, which it uses to implement the Functional model-building API and to uniquify autogenerated layer names.
If you are creating many models in a loop, this global state will consume
an increasing amount of memory over time, and you may want to clear it.
Calling clear_session()
releases the global state: this helps avoid
clutter from old models and layers, especially when memory is limited.
Example 1: calling clear_session()
when creating models in a loop
for (i in 1:100) { # Without `clear_session()`, each iteration of this loop will # slightly increase the size of the global state managed by Keras model <- keras_model_sequential() for (j in 1:10) { model <- model |> layer_dense(units = 10) } } for (i in 1:100) { # With `clear_session()` called at the beginning, # Keras starts with a blank state at each iteration # and memory consumption is constant over time. clear_session() model <- keras_model_sequential() for (j in 1:10) { model <- model |> layer_dense(units = 10) } }
Example 2: resetting the layer name generation counter
layers <- lapply(1:10, \(i) layer_dense(units = 10)) new_layer <- layer_dense(units = 10) print(new_layer$name)
## [1] "dense_10"
clear_session() new_layer <- layer_dense(units = 10) print(new_layer$name)
## [1] "dense"
Usage
clear_session(free_memory = TRUE)
Arguments
free_memory |
Whether to call Python garbage collection.
It's usually a good practice to call it to make sure
memory used by deleted objects is immediately freed.
However, it may take a few seconds to execute, so
when using |
Value
NULL
, invisibly, called for side effects.
See Also
Other backend:
config_backend()
config_epsilon()
config_floatx()
config_image_data_format()
config_set_epsilon()
config_set_floatx()
config_set_image_data_format()
Other utils:
audio_dataset_from_directory()
config_disable_interactive_logging()
config_disable_traceback_filtering()
config_enable_interactive_logging()
config_enable_traceback_filtering()
config_is_interactive_logging_enabled()
config_is_traceback_filtering_enabled()
get_file()
get_source_inputs()
image_array_save()
image_dataset_from_directory()
image_from_array()
image_load()
image_smart_resize()
image_to_array()
layer_feature_space()
normalize()
pad_sequences()
set_random_seed()
split_dataset()
text_dataset_from_directory()
timeseries_dataset_from_array()
to_categorical()
zip_lists()