[Refactor] Add auto lr in cfg (#1807)

* add deploy.yaml

* add auto_scale_lr in cfg

* fix cfg

configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb2-2x_lyft-3d.py

@@ -41,3 +41,8 @@ model = dict(
             ],
             rotations=[0, 1.57],
             reshape_out=True)))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (8 GPUs) x (2 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=16)

configs/regnet/pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb2-2x_lyft-3d.py

@@ -22,3 +22,8 @@ model = dict(
         norm_eval=False,
         style='pytorch'),
     pts_neck=dict(in_channels=[64, 160, 384]))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (8 GPUs) x (2 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=16)

configs/regnet/pointpillars_hv_regnet-400mf_fpn_sbn-all_range100_8xb2-2x_lyft-3d.py

@@ -22,3 +22,8 @@ model = dict(
         norm_eval=False,
         style='pytorch'),
     pts_neck=dict(in_channels=[64, 160, 384]))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (8 GPUs) x (2 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=16)

configs/second/second_hv_secfpn_sbn-all_16xb2-2x_waymoD5-3d-3class.py

@@ -140,3 +140,8 @@ test_dataloader = dict(
         test_mode=True,
         metainfo=metainfo,
         box_type_3d='LiDAR'))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (16 GPUs) x (2 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=32)

configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py

@@ -220,3 +220,8 @@ model = dict(
             code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
             pos_weight=-1,
             debug=False)))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (16 GPUs) x (2 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=32)

configs/votenet/votenet_8xb16_sunrgbd-3d.py

@@ -20,3 +20,8 @@ model = dict(
                 [0.404671, 1.071108, 1.688889], [0.76584, 1.398258, 0.472728]
             ]),
     ))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (8 GPUs) x (16 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=128)

configs/votenet/votenet_8xb8_scannet-3d.py

@@ -32,3 +32,8 @@ model = dict(
                         [0.47535285, 0.49249494, 0.5802117]])))
 
 default_hooks = dict(logger=dict(type='LoggerHook', interval=30))
+# Default setting for scaling LR automatically
+#   - `enable` means enable scaling LR automatically
+#       or not by default.
+#   - `base_batch_size` = (8 GPUs) x (8 samples per GPU).
+auto_scale_lr = dict(enable=False, base_batch_size=64)