2022-04-28 13:06:03 +08:00
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_base_ = [
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'../_base_/models/densenet/densenet201.py',
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'../_base_/datasets/imagenet_bs64.py',
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'../_base_/schedules/imagenet_bs256.py',
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'../_base_/default_runtime.py',
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]
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2022-06-01 14:11:53 +08:00
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# dataset settings
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train_dataloader = dict(batch_size=256)
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2022-04-28 13:06:03 +08:00
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2022-06-01 14:11:53 +08:00
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# schedule settings
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2022-05-23 17:31:57 +08:00
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train_cfg = dict(by_epoch=True, max_epochs=90)
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2022-07-14 19:15:49 +08:00
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2022-07-15 15:20:17 +08:00
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# NOTE: `auto_scale_lr` is for automatically scaling LR
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# based on the actual training batch size.
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2022-07-14 19:15:49 +08:00
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# base_batch_size = (4 GPUs) x (256 samples per GPU)
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auto_scale_lr = dict(base_batch_size=1024)
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