delete config files

segmentation_configs/ade20k/B5/segformer-ade20k640-b5-bsm-fast.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb2-160k_ade20k-640x640.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(kv_mode='bsm', kv_r=0.9, kv_sx=4, kv_sy=4),
-            dict(kv_mode='bsm', kv_r=0.9, kv_sx=4, kv_sy=4),
-            dict(q_mode='bsm', q_r=0.9, q_sx=4, q_sy=4),
-            dict(q_mode='bsm', q_r=0.9, q_sx=4, q_sy=4)
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=8, num_workers=8)

segmentation_configs/ade20k/B5/segformer-ade20k640-b5-bsm-hq.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb2-160k_ade20k-640x640.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(kv_mode='bsm', kv_r=0.6, kv_sx=2, kv_sy=2),
-            dict(kv_mode='bsm', kv_r=0.6, kv_sx=2, kv_sy=2),
-            dict(q_mode='bsm', q_r=0.8, q_sx=4, q_sy=4),
-            dict(q_mode='bsm', q_r=0.8, q_sx=4, q_sy=4)
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=8, num_workers=8)

segmentation_configs/ade20k/B5/segformer-ade20k640-b5-default.py

@@ -1,3 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb2-160k_ade20k-640x640.py']
-
-train_dataloader = dict(batch_size=8, num_workers=8)

segmentation_configs/ade20k/B5/segformer-ade20k640-b5-downsample.py

@@ -1,9 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb2-160k_ade20k-640x640.py']
-
-model = dict(
-    backbone=dict(
-        down_sample=True
-    )
-)
-
-train_dataloader = dict(batch_size=8, num_workers=8)

segmentation_configs/ade20k/B5/segformer-ade20k640-b5-n2d-2x2.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb2-160k_ade20k-640x640.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2))
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=8, num_workers=8)

segmentation_configs/cityscapes/B2/segformer-cityscapes-b2-bsm-fast.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b2_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(kv_mode='bsm', kv_r=0.9, kv_sx=4, kv_sy=4),
-            dict(kv_mode='bsm', kv_r=0.9, kv_sx=4, kv_sy=4),
-            dict(q_mode='bsm', q_r=0.9, q_sx=4, q_sy=4),
-            dict(q_mode='bsm', q_r=0.9, q_sx=4, q_sy=4)
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B2/segformer-cityscapes-b2-bsm-hq.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b2_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(kv_mode='bsm', kv_r=0.6, kv_sx=2, kv_sy=2),
-            dict(kv_mode='bsm', kv_r=0.6, kv_sx=2, kv_sy=2),
-            dict(q_mode='bsm', q_r=0.8, q_sx=4, q_sy=4),
-            dict(q_mode='bsm', q_r=0.8, q_sx=4, q_sy=4)
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B2/segformer-cityscapes-b2-default.py

@@ -1,3 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b2_8xb1-160k_cityscapes-1024x1024.py']
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B2/segformer-cityscapes-b2-downsample.py

@@ -1,9 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b2_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        down_sample=True
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B2/segformer-cityscapes-b2-n2d-2x2.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b2_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2))
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B5/segformer-cityscapes-b5-bsm-fast.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(kv_mode='bsm', kv_r=0.9, kv_sx=4, kv_sy=4),
-            dict(kv_mode='bsm', kv_r=0.9, kv_sx=4, kv_sy=4),
-            dict(q_mode='bsm', q_r=0.9, q_sx=4, q_sy=4),
-            dict(q_mode='bsm', q_r=0.9, q_sx=4, q_sy=4)
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B5/segformer-cityscapes-b5-bsm-hq.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(kv_mode='bsm', kv_r=0.6, kv_sx=2, kv_sy=2),
-            dict(kv_mode='bsm', kv_r=0.6, kv_sx=2, kv_sy=2),
-            dict(q_mode='bsm', q_r=0.8, q_sx=4, q_sy=4),
-            dict(q_mode='bsm', q_r=0.8, q_sx=4, q_sy=4)
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B5/segformer-cityscapes-b5-default.py

@@ -1,3 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb1-160k_cityscapes-1024x1024.py']
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B5/segformer-cityscapes-b5-downsample.py

@@ -1,9 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        down_sample=True
-    ),
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)

segmentation_configs/cityscapes/B5/segformer-cityscapes-b5-n2d-2x2.py

@@ -1,14 +0,0 @@
-_base_ = ['../../../configs/segformer/segformer_mit-b5_8xb1-160k_cityscapes-1024x1024.py']
-
-model = dict(
-    backbone=dict(
-        tome_cfg=[
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2)),
-            dict(q_mode='n2d', q_s=(2, 2))
-        ]
-    )
-)
-
-train_dataloader = dict(batch_size=4, num_workers=8)