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Fix lr to 8gpus in slowonly #136

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Aug 18, 2020
Merged

Fix lr to 8gpus in slowonly #136

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4 changes: 2 additions & 2 deletions configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@
dict(type='ToTensor', keys=['imgs'])
]
data = dict(
videos_per_gpu=16,
videos_per_gpu=8,
workers_per_gpu=4,
train=dict(
type=dataset_type,
Expand All @@ -90,7 +90,7 @@
pipeline=test_pipeline))
# optimizer
optimizer = dict(
type='SGD', lr=0.6, momentum=0.9,
type='SGD', lr=0.1, momentum=0.9,
weight_decay=0.0001) # this lr is used for 8 gpus
optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2))
# learning policy
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4 changes: 2 additions & 2 deletions configs/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@
dict(type='ToTensor', keys=['imgs'])
]
data = dict(
videos_per_gpu=16,
videos_per_gpu=8,
workers_per_gpu=4,
train=dict(
type=dataset_type,
Expand All @@ -90,7 +90,7 @@
pipeline=test_pipeline))
# optimizer
optimizer = dict(
type='SGD', lr=0.6, momentum=0.9,
type='SGD', lr=0.1, momentum=0.9,
weight_decay=0.0001) # this lr is used for 8 gpus
optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2))
# learning policy
Expand Down