fix metafile error of sagan sngan and ddpm

configs/improved_ddpm/README.md

@@ -25,11 +25,11 @@ Denoising diffusion probabilistic models (DDPM) are a class of generative models
   <img src="https://user-images.githubusercontent.com/28132635/147954424-1c9e4623-5bed-4cdc-b49c-ab17d619f748.gif" width="300"/>
 </div>
 
-|             Models             |  Dataset   |   FID   |                                                                            Config                                                                            |                                                                                                                                                          Download                                                                                                                                                          |
-| :----------------------------: | :--------: | :-----: | :----------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| Improve-DDPM 32x32 Dropout=0.3 |  CIFAR10   | 3.8848  |   [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k.py)   |     [model](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k_20220103_222621-2f42f476.pth)\| [log](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k_20220103_222621-2f42f476.json)     |
-|       Improve-DDPM 64x64       | ImageNet1k | 13.5181 |      [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k)       |         [model](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k_20220103_223919-b8f1a310.pth)\| [log](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k_20220103_223919-b8f1a310.json)         |
-| Improve-DDPM 64x64 Dropout=0.3 | ImageNet1k | 13.4094 | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k.py) | [model](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k_20220103_224427-7bb55975.pth)\| [log](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k_20220103_224427-7bb55975.json) |
+|             Models             |  Dataset   |   FID   |                                                                            Config                                                                             |                                                                                                                                                          Download                                                                                                                                                          |
+| :----------------------------: | :--------: | :-----: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| Improve-DDPM 32x32 Dropout=0.3 |  CIFAR10   | 3.8848  |   [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k.py)   |     [model](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k_20220103_222621-2f42f476.pth)\| [log](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k_20220103_222621-2f42f476.json)     |
+|       Improve-DDPM 64x64       | ImageNet1k | 13.5181 |     [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k.py)      |         [model](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k_20220103_223919-b8f1a310.pth)\| [log](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k_20220103_223919-b8f1a310.json)         |
+| Improve-DDPM 64x64 Dropout=0.3 | ImageNet1k | 13.4094 | [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k.py) | [model](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k_20220103_224427-7bb55975.pth)\| [log](https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k_20220103_224427-7bb55975.json) |
 
 `FID` comparison with official:
 

configs/improved_ddpm/metafile.yml

@@ -7,7 +7,7 @@ Collections:
   - https://arxiv.org/abs/2102.09672
   README: configs/improved_ddpm/README.md
 Models:
-- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k.py
+- Config: https://github.com/open-mmlab/mmgeneration/blob/master/configs/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k.py
   In Collection: Improved-DDPM
   Metadata:
     Training Data: CIFAR
@@ -18,7 +18,7 @@ Models:
       FID: 3.8848
     Task: Denoising Diffusion Probabilistic Models
   Weights: https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_cifar10_32x32_b8x16_500k_20220103_222621-2f42f476.pth
-- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k
+- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k.py
   In Collection: Improved-DDPM
   Metadata:
     Training Data: IMAGENET
@@ -29,7 +29,7 @@ Models:
       FID: 13.5181
     Task: Denoising Diffusion Probabilistic Models
   Weights: https://download.openmmlab.com/mmgen/improved_ddpm/ddpm_cosine_hybird_timestep-4k_imagenet1k_64x64_b8x16_1500k_20220103_223919-b8f1a310.pth
-- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/improve_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k.py
+- Config: https://github.com/open-mmlab/mmgeneration/blob/master/configs/improved_ddpm/ddpm_cosine_hybird_timestep-4k_drop0.3_imagenet1k_64x64_b8x16_1500k.py
   In Collection: Improved-DDPM
   Metadata:
     Training Data: IMAGENET

configs/sagan/README.md

@@ -44,10 +44,10 @@ total_iters (biggan/pytorch studio gan) = our_total_iters / dist_step
 We also provide converted pre-train models from [Pytorch-StudioGAN](https://github.com/POSTECH-CVLab/PyTorch-StudioGAN).
 To be noted that, in Pytorch Studio GAN, **inplace ReLU** is used in generator and discriminator.
 
-|          Models          | Dataset  | Inplace ReLU | n_disc | Total Iters | IS (Our Pipeline) | FID (Our Pipeline) | IS (StudioGAN) | FID (StudioGAN) |                                                 Config                                                  |                                                         Download                                                         |                              Original Download link                               |
-| :----------------------: | :------: | :----------: | :----: | :---------: | :---------------: | :----------------: | :------------: | :-------------: | :-----------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------: |
-|  SAGAN-32x32 StudioGAN   | CIFAR10  |      w       |   5    |   100000    |       9.116       |      10.2011       |     8.680      |     14.009      |  [Config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sagan_32x32.py)  |   [model](https://download.openmmlab.com/mmgen/sagan/sagan_32_cifar10_convert-studio-rgb_20210730_153321-080da7e2.pth)   | [model](https://drive.google.com/drive/folders/1FA8hcz4MB8-hgTwLuDA0ZUfr8slud5P_) |
-| SAGAN0-128x128 StudioGAN | ImageNet |      w       |   1    |   1000000   |      27.367       |      40.1162       |     29.848     |     34.726      | [Config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sagan_128x128.py) | [model](https://download.openmmlab.com/mmgen/sagan/sagan_128_imagenet1k_convert-studio-rgb_20210730_153357-eddb0d1d.pth) | [model](https://drive.google.com/drive/folders/1ZYaqeeumDgxOPDhRR5QLeLFIpgBJ9S6B) |
+|          Models          | Dataset  | Inplace ReLU | n_disc | Total Iters | IS (Our Pipeline) | FID (Our Pipeline) | IS (StudioGAN) | FID (StudioGAN) |                                                  Config                                                  |                                                         Download                                                         |                              Original Download link                               |
+| :----------------------: | :------: | :----------: | :----: | :---------: | :---------------: | :----------------: | :------------: | :-------------: | :------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------: |
+|  SAGAN-32x32 StudioGAN   | CIFAR10  |      w       |   5    |   100000    |       9.116       |      10.2011       |     8.680      |     14.009      | [Config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/sagan/sagan_32_cvt_studioGAN.py) |   [model](https://download.openmmlab.com/mmgen/sagan/sagan_32_cifar10_convert-studio-rgb_20210730_153321-080da7e2.pth)   | [model](https://drive.google.com/drive/folders/1FA8hcz4MB8-hgTwLuDA0ZUfr8slud5P_) |
+| SAGAN0-128x128 StudioGAN | ImageNet |      w       |   1    |   1000000   |      27.367       |      40.1162       |     29.848     |     34.726      | [Config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/sagan/sagan_32_cvt_studioGAN.py) | [model](https://download.openmmlab.com/mmgen/sagan/sagan_128_imagenet1k_convert-studio-rgb_20210730_153357-eddb0d1d.pth) | [model](https://drive.google.com/drive/folders/1ZYaqeeumDgxOPDhRR5QLeLFIpgBJ9S6B) |
 
 - `Our Pipeline` denote results evaluated with our pipeline.
 - `StudioGAN` denote results released by Pytorch-StudioGAN.

configs/sagan/metafile.yml

@@ -151,11 +151,11 @@ Models:
       dist_step: 1.0
     Task: Conditional GANs
   Weights: https://download.openmmlab.com/mmgen/sagan/sagan_128_woReLUinplace_noaug_bigGAN_imagenet1k_b32x8_Glr1e-4_Dlr-4e-4_ndisc1_20210818_210232-3f5686af.pth
-- Config: https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sagan_32x32.py
+- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/sagan/sagan_32_cvt_studioGAN.py
   In Collection: SAGAN
   Metadata:
     Training Data: Others
-  Name: sagan_32x32
+  Name: sagan_32_cvt_studioGAN
   Results:
   - Dataset: Others
     Metrics:
@@ -168,11 +168,11 @@ Models:
       n_disc: 5.0
     Task: Conditional GANs
   Weights: https://download.openmmlab.com/mmgen/sagan/sagan_32_cifar10_convert-studio-rgb_20210730_153321-080da7e2.pth
-- Config: https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sagan_128x128.py
+- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/sagan/sagan_32_cvt_studioGAN.py
   In Collection: SAGAN
   Metadata:
     Training Data: Others
-  Name: sagan_128x128
+  Name: sagan_32_cvt_studioGAN
   Results:
   - Dataset: Others
     Metrics:

configs/sagan/sagan_128_cvt_studioGAN.py

@@ -0,0 +1 @@
+_base_ = ['../_base_/models/sagan/sagan_128x128.py']

configs/sagan/sagan_32_cvt_studioGAN.py

@@ -0,0 +1 @@
+_base_ = ['../_base_/models/sagan/sagan_32x32.py']

configs/sngan_proj/README.md

@@ -45,10 +45,10 @@ total_iters (biggan/pytorch studio gan) = our_total_iters / disc_step
 We also provide converted pre-train models from [Pytorch-StudioGAN](https://github.com/POSTECH-CVLab/PyTorch-StudioGAN).
 To be noted that, in Pytorch Studio GAN, **inplace ReLU** is used in generator and discriminator.
 
-|            Models            | Dataset  | Inplace ReLU | disc_step | Total Iters | IS (Our Pipeline) | FID (Our Pipeline) | IS (StudioGAN) | FID (StudioGAN) |                                                    Config                                                    |                                                         Download                                                          |                              Original Download link                               |
-| :--------------------------: | :------: | :----------: | :-------: | :---------: | :---------------: | :----------------: | :------------: | :-------------: | :----------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------: |
-|  SAGAN_Proj-32x32 StudioGAN  | CIFAR10  |      w       |     5     |   100000    |       9.372       |      10.2011       |     8.677      |     13.248      |  [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sngan_proj_32x32.py)  |  [model](https://download.openmmlab.com/mmgen/sngan_proj/sngan_cifar10_convert-studio-rgb_20210709_111346-2979202d.pth)   | [model](https://drive.google.com/drive/folders/16s5Cr-V-NlfLyy_uyXEkoNxLBt-8wYSM) |
-| SAGAN_Proj-128x128 StudioGAN | ImageNet |      w       |     2     |   1000000   |      30.218       |      29.8199       |     32.247     |     26.792      | [config](https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sngan_proj_128x128.py) | [model](https://download.openmmlab.com/mmgen/sngan_proj/sngan_imagenet1k_convert-studio-rgb_20210709_111406-877b1130.pth) | [model](https://drive.google.com/drive/folders/1Ek2wAMlxpajL_M8aub4DKQ9B313K8XhS) |
+|            Models            | Dataset  | Inplace ReLU | disc_step | Total Iters | IS (Our Pipeline) | FID (Our Pipeline) | IS (StudioGAN) | FID (StudioGAN) |                                                       Config                                                       |                                                         Download                                                          |                              Original Download link                               |
+| :--------------------------: | :------: | :----------: | :-------: | :---------: | :---------------: | :----------------: | :------------: | :-------------: | :----------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------: |
+|  SAGAN_Proj-32x32 StudioGAN  | CIFAR10  |      w       |     5     |   100000    |       9.372       |      10.2011       |     8.677      |     13.248      | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/sngan_proj/sngan_proj_32_cvt_studioGAN.py) |  [model](https://download.openmmlab.com/mmgen/sngan_proj/sngan_cifar10_convert-studio-rgb_20210709_111346-2979202d.pth)   | [model](https://drive.google.com/drive/folders/16s5Cr-V-NlfLyy_uyXEkoNxLBt-8wYSM) |
+| SAGAN_Proj-128x128 StudioGAN | ImageNet |      w       |     2     |   1000000   |      30.218       |      29.8199       |     32.247     |     26.792      | [config](https://github.com/open-mmlab/mmgeneration/tree/master/configs/sngan_proj/sngan_proj_32_cvt_studioGAN.py) | [model](https://download.openmmlab.com/mmgen/sngan_proj/sngan_imagenet1k_convert-studio-rgb_20210709_111406-877b1130.pth) | [model](https://drive.google.com/drive/folders/1Ek2wAMlxpajL_M8aub4DKQ9B313K8XhS) |
 
 - `Our Pipeline` denote results evaluated with our pipeline.
 - `StudioGAN` denote results released by Pytorch-StudioGAN.

configs/sngan_proj/metafile.yml

@@ -143,11 +143,11 @@ Models:
       disc_step: 5.0
     Task: Conditional GANs
   Weights: https://download.openmmlab.com/mmgen/sngan_proj/sngan_proj_imagenet1k_128_Glr2e-4_Dlr5e-5_ndisc5_b128x2_wReLUinplace_fid-iter988000_20210730_132401-9a682411.pth
-- Config: https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sngan_proj_32x32.py
+- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/sngan_proj/sngan_proj_32_cvt_studioGAN.py
   In Collection: SNGAN
   Metadata:
     Training Data: Others
-  Name: sngan_proj_32x32
+  Name: sngan_proj_32_cvt_studioGAN
   Results:
   - Dataset: Others
     Metrics:
@@ -160,11 +160,11 @@ Models:
       disc_step: 5.0
     Task: Conditional GANs
   Weights: https://download.openmmlab.com/mmgen/sngan_proj/sngan_cifar10_convert-studio-rgb_20210709_111346-2979202d.pth
-- Config: https://github.com/open-mmlab/mmgeneration/blob/master/configs/_base_/models/sngan_proj_128x128.py
+- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/sngan_proj/sngan_proj_32_cvt_studioGAN.py
   In Collection: SNGAN
   Metadata:
     Training Data: Others
-  Name: sngan_proj_128x128
+  Name: sngan_proj_32_cvt_studioGAN
   Results:
   - Dataset: Others
     Metrics:

configs/sngan_proj/sngan_proj_128_cvt_studioGAN.py

@@ -0,0 +1 @@
+_base_ = ['../_base_/models/sngan_proj/sngan_proj_128x128.py']

configs/sngan_proj/sngan_proj_32_cvt_studioGAN.py

@@ -0,0 +1 @@
+_base_ = ['../_base_/models/sngan_proj/sngan_proj_32x32.py']