1f22feb7dae28cbaa157e900f3444680a6fe258f,catalyst/utils/distributed.py,,distributed_mean,#Any#,54
Before Change
def distributed_mean(value: float):
if torch.distributed.is_initialized():
value = torch.tensor(
value,
dtype=torch.float,
After Change
Computes distributed mean among all nodes
if is_torch_distributed_initialized():
value = torch.tensor(
value,
dtype=torch.float,
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances
Project Name: Scitator/catalyst
Commit Name: 1f22feb7dae28cbaa157e900f3444680a6fe258f
Time: 2020-03-11
Author: andrew.zharkov@abbyy.com
File Name: catalyst/utils/distributed.py
Class Name:
Method Name: distributed_mean
Project Name: catalyst-team/catalyst
Commit Name: 1f22feb7dae28cbaa157e900f3444680a6fe258f
Time: 2020-03-11
Author: andrew.zharkov@abbyy.com
File Name: catalyst/utils/distributed.py
Class Name:
Method Name: get_rank