[Enhance] Sthv2 checkpoint for TSN/TSM

configs/recognition/tsm/README.md

@@ -20,15 +20,23 @@ The explosive growth in video streaming gives rise to challenges on performing v
 
 ### Kinetics-400
 
-| frame sampling strategy |   resolution   | gpus |        backbone         | pretrain | top1 acc | top5 acc |  testing protocol  | inference time(video/s) | gpu_mem(M) |         config         |         ckpt         |         log         |
-| :---------------------: | :------------: | :--: | :---------------------: | :------: | :------: | :------: | :----------------: | :---------------------: | :--------: | :--------------------: | :------------------: | :-----------------: |
-|          1x1x8          | short-side 320 |  8   |        ResNet50         | ImageNet |  72.95   |  90.45   | 8 clips x 10 crop  |            x            |   13723    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb_20220831-64d69186.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb.log) |
-|          1x1x8          | short-side 320 |  8   |        ResNet50         | ImageNet |  73.11   |  90.06   | 8 clips x 10 crop  |            x            |   13723    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb_20220831-a6db1e5d.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb.log) |
-|         1x1x16          | short-side 320 |  8   |        ResNet50         | ImageNet |  74.64   |  91.42   | 16 clips x 10 crop |            x            |   27044    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb_20220831-042b1748.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb.log) |
-|      1x1x8 (dense)      | short-side 320 |  8   |        ResNet50         | ImageNet |  73.39   |  90.78   | 8 clips x 10 crop  |            x            |   13723    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb_20220831-f55d3c2b.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb.log) |
-|          1x1x8          | short-side 320 |  8   | ResNet50 (NonLocalDotProduct) | ImageNet |  74.17   |  90.95   | 8 clips x 10 crop  |            x            |   18413    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb_20220831-108bfde5.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb.log) |
-|          1x1x8          | short-side 320 |  8   | ResNet50 (NonLocalGauss) | ImageNet |  73.37   |  90.82   | 8 clips x 10 crop  |            x            |   19925    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb_20220831-7e54dacf.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.log) |
-|          1x1x8          | short-side 320 |  8   | ResNet50 (NonLocalEmbedGauss) | ImageNet |  74.45   |  91.11   | 8 clips x 10 crop  |            x            |   19726    | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb_20220831-35eddb57.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.log) |
+| frame sampling strategy |   resolution   | gpus |           backbone            | pretrain | top1 acc | top5 acc |  testing protocol  | FLOPs  | params |           config            |                      ckpt |                      log |
+| :---------------------: | :------------: | :--: | :---------------------------: | :------: | :------: | :------: | :----------------: | :----: | :----: | :-------------------------: | ------------------------: | -----------------------: |
+|          1x1x8          | short-side 320 |  8   |           ResNet50            | ImageNet |  72.95   |  90.45   | 8 clips x 10 crop  | 32.88G | 23.87M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb_20220831-64d69186.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb.log) |
+|          1x1x8          | short-side 320 |  8   |           ResNet50            | ImageNet |  73.11   |  90.06   | 8 clips x 10 crop  | 32.88G | 23.87M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb_20220831-a6db1e5d.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-100e_kinetics400-rgb.log) |
+|         1x1x16          | short-side 320 |  8   |           ResNet50            | ImageNet |  74.64   |  91.42   | 16 clips x 10 crop | 65.75G | 23.87M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb_20220831-042b1748.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_kinetics400-rgb.log) |
+|      1x1x8 (dense)      | short-side 320 |  8   |           ResNet50            | ImageNet |  73.39   |  90.78   | 8 clips x 10 crop  | 32.88G | 23.87M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb_20220831-f55d3c2b.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50_8xb16-dense-1x1x8-50e_kinetics400-rgb.log) |
+|          1x1x8          | short-side 320 |  8   | ResNet50 (NonLocalDotProduct) | ImageNet |  74.17   |  90.95   | 8 clips x 10 crop  | 61.30G | 31.68M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb_20220831-108bfde5.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-dot-product_8xb16-1x1x8-50e_kinetics400-rgb.log) |
+|          1x1x8          | short-side 320 |  8   |   ResNet50 (NonLocalGauss)    | ImageNet |  73.37   |  90.82   | 8 clips x 10 crop  | 59.06G | 28.00M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb_20220831-7e54dacf.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.log) |
+|          1x1x8          | short-side 320 |  8   | ResNet50 (NonLocalEmbedGauss) | ImageNet |  74.45   |  91.11   | 8 clips x 10 crop  | 61.30G | 31.68M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb_20220831-35eddb57.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-embedded-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.log) |
+
+### Something-something V2
+
+| frame sampling strategy | resolution | gpus | backbone  | pretrain | top1 acc | top5 acc |  testing protocol  | FLOPs  | params |               config                |               ckpt                |               log                |
+| :---------------------: | :--------: | :--: | :-------: | :------: | :------: | :------: | :----------------: | :----: | :----: | :---------------------------------: | :-------------------------------: | :------------------------------: |
+|          1x1x8          | height 256 |  8   | ResNet50  | ImageNet |  60.20   |  86.13   | 8 clips x 10 crop  | 32.88G | 23.87M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb_20221122-cb2cc64e.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb.log) |
+|         1x1x16          | height 256 |  8   | ResNet50  | ImageNet |  62.46   |  87.75   | 16 clips x 10 crop | 65.75G | 23.87M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb_20221122-b1fb8264.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb.log) |
+|          1x1x8          | height 256 |  8   | ResNet101 | ImageNet |  60.49   |  85.99   | 8 clips x 10 crop  | 62.66G | 42.86M | [config](/configs/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb.py) | [ckpt](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb_20221122-cb2cc64e.pth) | [log](https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb.log) |
 
 Note:
 

configs/recognition/tsm/metafile.yml

@@ -166,3 +166,72 @@ Models:
         Top 5 Accuracy: 90.82
     Training Log: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb.log
     Weights: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb/tsm_imagenet-pretrained-r50-nl-gaussian_8xb16-1x1x8-50e_kinetics400-rgb_20220831-7e54dacf.pth
+
+  - Name: tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb
+    Config: configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb.py
+    In Collection: TSM
+    Metadata:
+      Architecture: ResNet50
+      Batch Size: 16
+      Epochs: 100
+      FLOPs: 32.88G
+      Parameters: 23.87M
+      Pretrained: ImageNet
+      Resolution: height 256
+      Training Data: Kinetics-400
+      Training Resources: 8 GPUs
+    Modality: RGB
+    Results:
+    - Dataset: Kinetics-400
+      Task: Action Recognition
+      Metrics:
+        Top 1 Accuracy: 60.20
+        Top 5 Accuracy: 86.13
+    Training Log: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb.log
+    Weights: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb_20221122-cb2cc64e.pth
+
+  - Name: tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb
+    Config: configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb.py
+    In Collection: TSM
+    Metadata:
+      Architecture: ResNet50
+      Batch Size: 16
+      Epochs: 100
+      FLOPs: 65.75G
+      Parameters: 23.87M
+      Pretrained: ImageNet
+      Resolution: height 256
+      Training Data: Kinetics-400
+      Training Resources: 8 GPUs
+    Modality: RGB
+    Results:
+    - Dataset: Kinetics-400
+      Task: Action Recognition
+      Metrics:
+        Top 1 Accuracy: 62.46
+        Top 5 Accuracy: 87.75
+    Training Log: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb.log
+    Weights: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb_20221122-b1fb8264.pth
+
+  - Name: tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb
+    Config: configs/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb.py
+    In Collection: TSM
+    Metadata:
+      Architecture: ResNet101
+      Batch Size: 16
+      Epochs: 100
+      FLOPs: 62.66G
+      Parameters: 42.86M
+      Pretrained: ImageNet
+      Resolution: height 256
+      Training Data: Kinetics-400
+      Training Resources: 8 GPUs
+    Modality: RGB
+    Results:
+    - Dataset: Kinetics-400
+      Task: Action Recognition
+      Metrics:
+        Top 1 Accuracy: 60.49
+        Top 5 Accuracy: 85.99
+    Training Log: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb.log
+    Weights: https://download.openmmlab.com/mmaction/v1.0/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb_20221122-cb2cc64e.pth

configs/recognition/tsm/tsm_imagenet-pretrained-r101_8xb16-1x1x8-50e_sthv2-rgb.py

@@ -0,0 +1,6 @@
+_base_ = ['tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb.py']
+
+# model settings
+r101_checkpoint = 'https://download.pytorch.org/models/resnet101-cd907fc2.pth'
+
+model = dict(backbone=dict(pretrained=r101_checkpoint, depth=101))

configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x16-50e_sthv2-rgb.py

@@ -0,0 +1,56 @@
+_base_ = ['tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_sthv2-rgb.py']
+
+model = dict(backbone=dict(num_segments=16), cls_head=dict(num_segments=16))
+
+train_pipeline = [
+    dict(type='DecordInit'),
+    dict(type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16),
+    dict(type='DecordDecode'),
+    dict(type='Resize', scale=(-1, 256)),
+    dict(
+        type='MultiScaleCrop',
+        input_size=224,
+        scales=(1, 0.875, 0.75, 0.66),
+        random_crop=False,
+        max_wh_scale_gap=1,
+        num_fixed_crops=13),
+    dict(type='Resize', scale=(224, 224), keep_ratio=False),
+    dict(type='Flip', flip_ratio=0.5),
+    dict(type='FormatShape', input_format='NCHW'),
+    dict(type='PackActionInputs')
+]
+val_pipeline = [
+    dict(type='DecordInit'),
+    dict(
+        type='SampleFrames',
+        clip_len=1,
+        frame_interval=1,
+        num_clips=16,
+        test_mode=True),
+    dict(type='DecordDecode'),
+    dict(type='Resize', scale=(-1, 256)),
+    dict(type='CenterCrop', crop_size=224),
+    dict(type='FormatShape', input_format='NCHW'),
+    dict(type='PackActionInputs')
+]
+test_pipeline = [
+    dict(type='DecordInit'),
+    dict(
+        type='SampleFrames',
+        clip_len=1,
+        frame_interval=1,
+        num_clips=16,
+        twice_sample=True,
+        test_mode=True),
+    dict(type='DecordDecode'),
+    dict(type='Resize', scale=(-1, 256)),
+    dict(type='TenCrop', crop_size=224),
+    dict(type='FormatShape', input_format='NCHW'),
+    dict(type='PackActionInputs')
+]
+
+train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
+
+val_dataloader = dict(dataset=dict(pipeline=val_pipeline))
+
+test_dataloader = dict(pipeline=test_pipeline, test_mode=True)