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syncbn in linear evaluataion
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parent
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commit
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@ -17,7 +17,7 @@ model = dict(
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in_indices=[0, 1, 2, 3, 4],
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in_indices=[0, 1, 2, 3, 4],
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with_last_layer_unpool=False,
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with_last_layer_unpool=False,
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backbone='resnet50',
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backbone='resnet50',
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norm_cfg=dict(type='BN', momentum=0.1, affine=False),
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norm_cfg=dict(type='SyncBN', momentum=0.1, affine=False),
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num_classes=1000))
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num_classes=1000))
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# dataset settings
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# dataset settings
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data_source_cfg = dict(
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data_source_cfg = dict(
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@ -17,7 +17,7 @@ model = dict(
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in_indices=[0, 1, 2, 3, 4],
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in_indices=[0, 1, 2, 3, 4],
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with_last_layer_unpool=False,
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with_last_layer_unpool=False,
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backbone='resnet50',
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backbone='resnet50',
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norm_cfg=dict(type='BN', momentum=0.1, affine=False),
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norm_cfg=dict(type='SyncBN', momentum=0.1, affine=False),
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num_classes=1000))
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num_classes=1000))
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# dataset settings
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# dataset settings
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data_source_cfg = dict(
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data_source_cfg = dict(
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@ -17,7 +17,7 @@ model = dict(
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in_indices=[0, 1, 2, 3, 4],
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in_indices=[0, 1, 2, 3, 4],
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with_last_layer_unpool=False,
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with_last_layer_unpool=False,
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backbone='resnet50',
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backbone='resnet50',
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norm_cfg=dict(type='BN', momentum=0.1, affine=False),
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norm_cfg=dict(type='SyncBN', momentum=0.1, affine=False),
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num_classes=205))
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num_classes=205))
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# dataset settings
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# dataset settings
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data_source_cfg = dict(
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data_source_cfg = dict(
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@ -17,7 +17,7 @@ model = dict(
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in_indices=[0, 1, 2, 3, 4],
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in_indices=[0, 1, 2, 3, 4],
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with_last_layer_unpool=False,
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with_last_layer_unpool=False,
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backbone='resnet50',
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backbone='resnet50',
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norm_cfg=dict(type='BN', momentum=0.1, affine=False),
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norm_cfg=dict(type='SyncBN', momentum=0.1, affine=False),
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num_classes=205))
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num_classes=205))
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# dataset settings
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# dataset settings
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data_source_cfg = dict(
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data_source_cfg = dict(
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