doc: options auto update

jolibrain · Aug 21, 2023 · bd16f1e · bd16f1e
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diff --git a/docs/options.md b/docs/options.md
@@ -293,7 +293,7 @@ Here are all the available options to call with `train.py`
 | --train_lr_decay_iters | int | 50 | multiply by a gamma every lr_decay_iters iterations |
 | --train_lr_policy | string | linear | learning rate policy.<br/><br/> **Values:** linear, step, plateau, cosine |
 | --train_metrics_every | int | 1000 | compute metrics every N iterations |
-| --train_metrics_list | array | ['FID'] | metrics on results quality to compute<br/><br/> **Values:** FID, KID, MSID, PSNR |
+| --train_metrics_list | array | ['FID'] | metrics on results quality to compute<br/><br/> **Values:** FID, KID, MSID, PSNR, LPIPS |
 | --train_mm_lambda_z | float | 0.5 | weight for random z loss |
 | --train_mm_nz | int | 8 | number of latent vectors |
 | --train_n_epochs | int | 100 | number of epochs with the initial learning rate |

diff --git a/docs/source/_static/openapi.json b/docs/source/_static/openapi.json
diff --git a/docs/source/options.rst b/docs/source/options.rst
@@ -534,7 +534,7 @@ Training
 +-----------------------------------+-----------------+-----------------+----------------------------------------------------------------------------------------------------------------------------------------------------------+
 | --train_metrics_every             | int             | 1000            | compute metrics every N iterations                                                                                                                       |
 +-----------------------------------+-----------------+-----------------+----------------------------------------------------------------------------------------------------------------------------------------------------------+
-| --train_metrics_list              | array           | [‘FID’]         | metrics on results quality to compute **Values:** FID, KID, MSID, PSNR                                                                                   |
+| --train_metrics_list              | array           | [‘FID’]         | metrics on results quality to compute **Values:** FID, KID, MSID, PSNR, LPIPS                                                                            |
 +-----------------------------------+-----------------+-----------------+----------------------------------------------------------------------------------------------------------------------------------------------------------+
 | --train_mm_lambda_z               | float           | 0.5             | weight for random z loss                                                                                                                                 |
 +-----------------------------------+-----------------+-----------------+----------------------------------------------------------------------------------------------------------------------------------------------------------+