Add test tutorial (open-mmlab#9)

* add test tutorial

* remote torch/torchvision from requirements

* update getting started

* rename drop_out_ratio -> dropout_ratio

Author: xvjiarui

configs/_base_/models/ann_r50-d8.py

@@ -22,7 +22,7 @@
         project_channels=256,
         query_scales=(1, ),
         key_pool_scales=(1, 3, 6, 8),
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -35,7 +35,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/ccnet_r50-d8.py

@@ -20,7 +20,7 @@
         in_index=3,
         channels=512,
         recurrence=2,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -33,7 +33,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/danet_r50-d8.py

@@ -20,7 +20,7 @@
         in_index=3,
         channels=512,
         pam_channels=64,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -33,7 +33,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/deeplabv3_r50-d8.py

@@ -20,7 +20,7 @@
         in_index=3,
         channels=512,
         dilations=(1, 12, 24, 36),
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -33,7 +33,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/deeplabv3plus_r50-d8.py

@@ -22,7 +22,7 @@
         dilations=(1, 12, 24, 36),
         c1_in_channels=256,
         c1_channels=48,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -35,7 +35,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/encnet_r50-d8.py

@@ -22,7 +22,7 @@
         num_codes=32,
         use_se_loss=True,
         add_lateral=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -37,7 +37,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/fcn_hr18.py

@@ -41,7 +41,7 @@
         kernel_size=1,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=-1,
+        dropout_ratio=-1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/fcn_r50-d8.py

@@ -21,7 +21,7 @@
         channels=512,
         num_convs=2,
         concat_input=True,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -34,7 +34,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/gcnet_r50-d8.py

@@ -22,7 +22,7 @@
         ratio=1 / 4.,
         pooling_type='att',
         fusion_types=('channel_add', ),
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,
@@ -35,7 +35,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,

configs/_base_/models/nonlocal_r50-d8.py

@@ -19,7 +19,7 @@
         in_channels=2048,
         in_index=3,
         channels=512,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         reduction=2,
         use_scale=True,
         mode='embedded_gaussian',
@@ -35,7 +35,7 @@
         channels=256,
         num_convs=1,
         concat_input=False,
-        drop_out_ratio=0.1,
+        dropout_ratio=0.1,
         num_classes=19,
         norm_cfg=norm_cfg,
         align_corners=False,