From 0d473ccd4e8fcbe774428dc32a1bfd17814e4620 Mon Sep 17 00:00:00 2001 From: huyingfan Date: Wed, 23 Mar 2022 20:41:10 +0800 Subject: [PATCH] lint --- mmcls/core/utils/__init__.py | 4 +++- mmcls/core/utils/dist_utils.py | 2 +- mmcls/datasets/builder.py | 3 ++- mmcls/datasets/samplers/repeat_aug.py | 20 +++++++++----------- 4 files changed, 15 insertions(+), 14 deletions(-) diff --git a/mmcls/core/utils/__init__.py b/mmcls/core/utils/__init__.py index 51a575d0901..7170f232d3f 100644 --- a/mmcls/core/utils/__init__.py +++ b/mmcls/core/utils/__init__.py @@ -2,4 +2,6 @@ from .dist_utils import DistOptimizerHook, allreduce_grads, sync_random_seed from .misc import multi_apply -__all__ = ['allreduce_grads', 'DistOptimizerHook', 'multi_apply', 'sync_random_seed'] +__all__ = [ + 'allreduce_grads', 'DistOptimizerHook', 'multi_apply', 'sync_random_seed' +] diff --git a/mmcls/core/utils/dist_utils.py b/mmcls/core/utils/dist_utils.py index 30cafdbd15a..8912cea435a 100644 --- a/mmcls/core/utils/dist_utils.py +++ b/mmcls/core/utils/dist_utils.py @@ -95,4 +95,4 @@ def sync_random_seed(seed=None, device='cuda'): else: random_num = torch.tensor(0, dtype=torch.int32, device=device) dist.broadcast(random_num, src=0) - return random_num.item() \ No newline at end of file + return random_num.item() diff --git a/mmcls/datasets/builder.py b/mmcls/datasets/builder.py index f73c32fca3f..1c74af9c42b 100644 --- a/mmcls/datasets/builder.py +++ b/mmcls/datasets/builder.py @@ -104,7 +104,8 @@ def build_dataloader(dataset, sampler = build_sampler( sampler_cfg, default_args=dict( - dataset=dataset, num_replicas=world_size, rank=rank, seed=seed)) + dataset=dataset, num_replicas=world_size, rank=rank, + seed=seed)) # Default sampler logic elif dist: sampler = build_sampler( diff --git a/mmcls/datasets/samplers/repeat_aug.py b/mmcls/datasets/samplers/repeat_aug.py index e1863857c79..5de096bdef2 100644 --- a/mmcls/datasets/samplers/repeat_aug.py +++ b/mmcls/datasets/samplers/repeat_aug.py @@ -21,17 +21,15 @@ class RepeatAugSampler(Sampler): Copyright (c) 2015-present, Facebook, Inc. """ - def __init__( - self, - dataset, - num_replicas=None, - rank=None, - shuffle=True, - num_repeats=3, - selected_round=256, - selected_ratio=0, - seed=0 - ): + def __init__(self, + dataset, + num_replicas=None, + rank=None, + shuffle=True, + num_repeats=3, + selected_round=256, + selected_ratio=0, + seed=0): default_rank, default_world_size = get_dist_info() rank = default_rank if rank is None else rank num_replicas = (