Unverified 提交 84bfa892 authored 作者: Glenn Jocher's avatar Glenn Jocher 提交者: GitHub

Consolidate `init_seeds()` (#4849)

上级 302a1b0b
...@@ -29,7 +29,6 @@ import yaml ...@@ -29,7 +29,6 @@ import yaml
from utils.downloads import gsutil_getsize from utils.downloads import gsutil_getsize
from utils.metrics import box_iou, fitness from utils.metrics import box_iou, fitness
from utils.torch_utils import init_torch_seeds
# Settings # Settings
torch.set_printoptions(linewidth=320, precision=5, profile='long') torch.set_printoptions(linewidth=320, precision=5, profile='long')
...@@ -91,10 +90,13 @@ def set_logging(rank=-1, verbose=True): ...@@ -91,10 +90,13 @@ def set_logging(rank=-1, verbose=True):
def init_seeds(seed=0): def init_seeds(seed=0):
# Initialize random number generator (RNG) seeds # Initialize random number generator (RNG) seeds https://pytorch.org/docs/stable/notes/randomness.html
# cudnn seed 0 settings are slower and more reproducible, else faster and less reproducible
import torch.backends.cudnn as cudnn
random.seed(seed) random.seed(seed)
np.random.seed(seed) np.random.seed(seed)
init_torch_seeds(seed) torch.manual_seed(seed)
cudnn.benchmark, cudnn.deterministic = (False, True) if seed == 0 else (True, False)
def get_latest_run(search_dir='.'): def get_latest_run(search_dir='.'):
......
...@@ -15,7 +15,6 @@ from copy import deepcopy ...@@ -15,7 +15,6 @@ from copy import deepcopy
from pathlib import Path from pathlib import Path
import torch import torch
import torch.backends.cudnn as cudnn
import torch.distributed as dist import torch.distributed as dist
import torch.nn as nn import torch.nn as nn
import torch.nn.functional as F import torch.nn.functional as F
...@@ -41,15 +40,6 @@ def torch_distributed_zero_first(local_rank: int): ...@@ -41,15 +40,6 @@ def torch_distributed_zero_first(local_rank: int):
dist.barrier(device_ids=[0]) dist.barrier(device_ids=[0])
def init_torch_seeds(seed=0):
# Speed-reproducibility tradeoff https://pytorch.org/docs/stable/notes/randomness.html
torch.manual_seed(seed)
if seed == 0: # slower, more reproducible
cudnn.benchmark, cudnn.deterministic = False, True
else: # faster, less reproducible
cudnn.benchmark, cudnn.deterministic = True, False
def date_modified(path=__file__): def date_modified(path=__file__):
# return human-readable file modification date, i.e. '2021-3-26' # return human-readable file modification date, i.e. '2021-3-26'
t = datetime.datetime.fromtimestamp(Path(path).stat().st_mtime) t = datetime.datetime.fromtimestamp(Path(path).stat().st_mtime)
......
Markdown 格式
0%
您添加了 0 到此讨论。请谨慎行事。
请先完成此评论的编辑!
注册 或者 后发表评论