update places205 linear classification config

pull/33/head
Jiahao000 2020-09-01 00:06:55 +08:00
parent 30c14b415e
commit c3f7d6adf6
2 changed files with 8 additions and 8 deletions

View File

@ -46,7 +46,7 @@ test_pipeline = [
]
data = dict(
imgs_per_gpu=32, # total 32x8=256
workers_per_gpu=5,
workers_per_gpu=4,
train=dict(
type=dataset_type,
data_source=dict(
@ -65,7 +65,7 @@ custom_hooks = [
dataset=data['val'],
initial=True,
interval=10,
imgs_per_gpu=128,
imgs_per_gpu=32,
workers_per_gpu=4,
eval_param=dict(topk=(1, )))
]
@ -78,7 +78,7 @@ optimizer = dict(
paramwise_options=dict(norm_decay_mult=0.),
nesterov=True)
# learning policy
lr_config = dict(policy='step', step=[30, 60, 90])
lr_config = dict(policy='step', step=[7, 14, 21])
checkpoint_config = dict(interval=10)
# runtime settings
total_epochs = 100
total_epochs = 28

View File

@ -46,7 +46,7 @@ test_pipeline = [
]
data = dict(
imgs_per_gpu=32, # total 32x8=256
workers_per_gpu=5,
workers_per_gpu=4,
train=dict(
type=dataset_type,
data_source=dict(
@ -65,7 +65,7 @@ custom_hooks = [
dataset=data['val'],
initial=True,
interval=10,
imgs_per_gpu=128,
imgs_per_gpu=32,
workers_per_gpu=4,
eval_param=dict(topk=(1, )))
]
@ -78,7 +78,7 @@ optimizer = dict(
paramwise_options=dict(norm_decay_mult=0.),
nesterov=True)
# learning policy
lr_config = dict(policy='step', step=[30, 60, 90])
lr_config = dict(policy='step', step=[7, 14, 21])
checkpoint_config = dict(interval=10)
# runtime settings
total_epochs = 100
total_epochs = 28