def gpus_metrics(self) -> Dict[str, float]:
"""
.. deprecated:: v1.5
Will be removed in v1.7.
"""
if self.trainer._device_type == _AcceleratorType.GPU and self.log_gpu_memory:
mem_map = memory.get_memory_profile(self.log_gpu_memory)
self._gpus_metrics.update(mem_map)
return self._gpus_metrics
def test_multi_gpu_model_ddp_spawn(tmpdir):
tutils.set_random_main_port()
trainer_options = dict(
default_root_dir=tmpdir,
max_epochs=1,
limit_train_batches=10,
limit_val_batches=10,
gpus=[0, 1],
strategy="ddp_spawn",
enable_progress_bar=False,
)
model = BoringModel()
tpipes.run_model_test(trainer_options, model)
# test memory helper functions
memory.get_memory_profile("min_max")
def test_multi_gpu_model_dp(tmpdir):
tutils.set_random_master_port()
trainer_options = dict(
default_root_dir=tmpdir,
max_epochs=1,
limit_train_batches=10,
limit_val_batches=10,
gpus=[0, 1],
accelerator="dp",
progress_bar_refresh_rate=0,
)
model = BoringModel()
tpipes.run_model_test(trainer_options, model)
# test memory helper functions
memory.get_memory_profile("min_max")
def gpus_metrics(self) -> Dict[str, float]:
"""
.. deprecated:: v1.5
Will be removed in v1.7.
"""
if isinstance(self.trainer.accelerator,
GPUAccelerator) and self.log_gpu_memory:
mem_map = memory.get_memory_profile(self.log_gpu_memory)
self._gpus_metrics.update(mem_map)
return self._gpus_metrics
def gpus_metrics(self) -> Dict[str, float]:
if self.trainer._device_type == DeviceType.GPU and self.log_gpu_memory:
mem_map = memory.get_memory_profile(self.log_gpu_memory)
self._gpus_metrics.update(mem_map)
return self._gpus_metrics
