You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have 2 3090 gpus, so I set gpus=[0, 1] in configs, but the time of train one epoch need 4 hours, and the output shows that Root Member(assigned_device_name_index_=-1 requested_device_name_='/device:GPU:1' assigned_device_name_='' resource_device_name_='/device:GPU:1' supported_device_types_=[CPU] possible_devices_=[]
Identity: CPU
Switch: CPU
AssignSubVariableOp: CPU
Mul: CPU
VarHandleOp: CPU
Const: CPU
VarIsInitializedOp: CPU
AssignVariableOp: CPU
ReadVariableOp: CPU
Sub: CPU
So, I guess I don't use gpu to train the model and I want to know how could run train.py on GPU? thank you for your help.
The text was updated successfully, but these errors were encountered:
I have 2 3090 gpus, so I set gpus=[0, 1] in configs, but the time of train one epoch need 4 hours, and the output shows that Root Member(assigned_device_name_index_=-1 requested_device_name_='/device:GPU:1' assigned_device_name_='' resource_device_name_='/device:GPU:1' supported_device_types_=[CPU] possible_devices_=[]
Identity: CPU
Switch: CPU
AssignSubVariableOp: CPU
Mul: CPU
VarHandleOp: CPU
Const: CPU
VarIsInitializedOp: CPU
AssignVariableOp: CPU
ReadVariableOp: CPU
Sub: CPU
So, I guess I don't use gpu to train the model and I want to know how could run train.py on GPU? thank you for your help.
The text was updated successfully, but these errors were encountered: