def get_devices(self):
raw_devices = self.benchmark_cnn.raw_devices
if self.benchmark_cnn.local_parameter_device_flag == 'gpu':
return [
variable_mgr_util.ParamServerDeviceSetter(d, raw_devices)
for d in raw_devices
]
else:
return [
tf.train.replica_device_setter(
worker_device=d,
ps_device=self.benchmark_cnn.param_server_device,
ps_tasks=1) for d in raw_devices
]
def get_devices(self):
raw_devices = self.model_helper.raw_devices
if self.model_helper.local_parameter_device == "gpu":
return [
variable_mgr_util.ParamServerDeviceSetter(d, raw_devices)
for d in raw_devices
]
else:
return [
tf.train.replica_device_setter(
worker_device=d,
ps_device=self.model_helper.param_server_device,
ps_tasks=1,
) for d in raw_devices
]