| clear_session | R Documentation | 
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"
clear_session(free_memory = TRUE)
| 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  | 
NULL, invisibly, called for side effects.
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() 
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