new version of config adapts ResNet

mmpretrain/configs/_base_/schedules/imagenet_bs2048.py

@@ -0,0 +1,24 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+# This is a BETA new format config file, and the usage may change recently.
+from mmengine.optim import LinearLR, MultiStepLR
+from torch.optim import SGD
+
+# optimizer
+optim_wrapper = dict(
+    optimizer=dict(
+        type=SGD, lr=0.8, momentum=0.9, weight_decay=0.0001, nesterov=True))
+
+# learning policy
+param_scheduler = [
+    dict(type=LinearLR, start_factor=0.25, by_epoch=False, begin=0, end=2500),
+    dict(type=MultiStepLR, by_epoch=True, milestones=[30, 60, 90], gamma=0.1)
+]
+
+# train, val, test setting
+train_cfg = dict(by_epoch=True, max_epochs=100, val_interval=1)
+val_cfg = dict()
+test_cfg = dict()
+
+# NOTE: `auto_scale_lr` is for automatically scaling LR,
+# based on the actual training batch size.
+auto_scale_lr = dict(base_batch_size=2048)