添加openmmlab测试用例

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/mobilenet_v2_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/mobilenet_v2_1x.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256_epochstep.py',
+    '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/mobilenet_v2_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/mobilenet_v2_1x.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256_epochstep.py',
+    '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet152_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/resnet152.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet152_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/resnet152.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet18_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/resnet18.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet18_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/resnet18.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet34_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/resnet34.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet34_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/resnet34.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet50_b32x8_fp16_imagenet.py

+#_base_ = ['../resnet/resnet50_b32x8_imagenet.py']
+
+_base_ = [
+    '../_base_/models/resnet50.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
+#fp16 = dict(loss_scale=dynamic)

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnet50_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/resnet50.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnext50_32x4d_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/resnext50_32x4d.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/resnext50_32x4d_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/resnext50_32x4d.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/seresnet50_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/seresnet50.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256_140e.py',
+    '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/seresnet50_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/seresnet50.py', './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256_140e.py',
+    '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/shufflenet_v1_1x_b64x16_linearlr_bn_nowd_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/shufflenet_v1_1x.py', './datasets/imagenet_bs64.py',
+    '../_base_/schedules/imagenet_bs1024_linearlr_bn_nowd.py',
+    '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/shufflenet_v1_1x_b64x16_linearlr_bn_nowd_imagenet.py

+_base_ = [
+    '../_base_/models/shufflenet_v1_1x.py', './datasets/imagenet_bs64.py',
+    '../_base_/schedules/imagenet_bs1024_linearlr_bn_nowd.py',
+    '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/shufflenet_v2_1x_b64x16_linearlr_bn_nowd_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/shufflenet_v2_1x.py', './datasets/imagenet_bs64.py',
+    '../_base_/schedules/imagenet_bs1024_linearlr_bn_nowd.py',
+    '../_base_/default_runtime.py'
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/shufflenet_v2_1x_b64x16_linearlr_bn_nowd_imagenet.py

+_base_ = [
+    '../_base_/models/shufflenet_v2_1x.py', './datasets/imagenet_bs64.py',
+    '../_base_/schedules/imagenet_bs1024_linearlr_bn_nowd.py',
+    '../_base_/default_runtime.py'
+]

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/vgg11_b32x8_fp16_imagenet.py

+_base_ = [
+    '../_base_/models/vgg11.py',
+    './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py',
+    '../_base_/default_runtime.py',
+]
+# fp16 settings
+fp16 = dict(loss_scale=512.)
\ No newline at end of file

openmmlab_test/mmclassification-speed-benchmark/configs/speed_test/vgg11_b32x8_imagenet.py

+_base_ = [
+    '../_base_/models/vgg11.py',
+    './datasets/imagenet_bs32.py',
+    '../_base_/schedules/imagenet_bs256.py',
+    '../_base_/default_runtime.py',
+]
+optimizer = dict(lr=0.01)