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hub / github.com/tensorflow/models / create_optimizer

Function create_optimizer

official/core/train_utils.py:244–263  ·  view source on GitHub ↗

A create optimizer util to be backward compatability with new args.

(task: base_task.Task,
                     params: config_definitions.ExperimentConfig
                     )

Source from the content-addressed store, hash-verified

242
243
244def create_optimizer(task: base_task.Task,
245 params: config_definitions.ExperimentConfig
246 ) -> tf_keras.optimizers.Optimizer:
247 """A create optimizer util to be backward compatability with new args."""
248 if 'dp_config' in inspect.signature(task.create_optimizer).parameters:
249 dp_config = None
250 if hasattr(params.task, 'differential_privacy_config'):
251 dp_config = params.task.differential_privacy_config
252 optimizer = task.create_optimizer(
253 params.trainer.optimizer_config, params.runtime,
254 dp_config=dp_config)
255 else:
256 if hasattr(params.task, 'differential_privacy_config'
257 ) and params.task.differential_privacy_config is not None:
258 raise ValueError('Differential privacy config is specified but '
259 'task.create_optimizer api does not accept it.')
260 optimizer = task.create_optimizer(
261 params.trainer.optimizer_config,
262 params.runtime)
263 return optimizer
264
265
266@gin.configurable

Callers 1

create_trainerFunction · 0.70

Calls 1

create_optimizerMethod · 0.45

Tested by

no test coverage detected