Home
last modified time | relevance | path

Searched refs:distributed_model (Results 1 – 2 of 2) sorted by relevance

/aosp_15_r20/external/tensorflow/tensorflow/python/keras/distribute/
H A Ddistributed_training_utils_v1.py758 distributed_model = strategy.extended.call_for_each_replica(
761 set_distributed_model(model, mode, distributed_model)
809 distributed_model = strategy.extended.call_for_each_replica(
811 set_distributed_model(model, mode, distributed_model)
813 model._make_callback_model(distributed_model)
896 distributed_model = get_distributed_model(model, mode)
905 if (distributed_model and hasattr(distributed_model, '_distribution_function')
906 and not (hasattr(distributed_model, '_recompile_exec_function') and
907 distributed_model._recompile_exec_function)):
908 return distributed_model._distributed_function
[all …]
/aosp_15_r20/external/tensorflow/tensorflow/python/distribute/
H A Ddistributed_table_test.py373 distributed_model = self.Model("value", file_path)
374 func_captures = distributed_model.use_table.get_concrete_function(
381 deferred_captures = distributed_model.use_table.get_concrete_function(
385 self.verifyWorkerLocalInstance(coordinator, distributed_model)