[CI] Fix broken workflows

.github/unittest/linux_libs/scripts_minari/environment.yml

@@ -17,4 +17,4 @@ dependencies:
     - pyyaml
     - scipy
     - hydra-core
-    - minari
+    - minari[gcs]

.github/workflows/build-wheels-windows.yml

@@ -32,6 +32,8 @@ jobs:
       matrix:
         include:
           - repository: pytorch/rl
+            pre-script: .github/scripts/td_script.sh
+            env-script: .github/scripts/version_script.bat
             post-script: "python packaging/wheel/relocate.py"
             smoke-test-script: test/smoke_test.py
             package-name: torchrl
@@ -43,8 +45,9 @@ jobs:
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
       build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      env-script: ${{ matrix.env-script }}
+      post-script: ${{ matrix.post-script }}
       package-name: ${{ matrix.package-name }}
       smoke-test-script: ${{ matrix.smoke-test-script }}
       trigger-event: ${{ github.event_name }}
-      pre-script: .github/scripts/td_script.sh
-      env-script: .github/scripts/version_script.bat

.github/workflows/docs.yml

@@ -50,7 +50,7 @@ jobs:
         conda activate "${env_dir}"
 
         # 2. upgrade pip, ninja and packaging
-        apt-get install python3.9 python3-pip -y
+        # apt-get install python3.9 python3-pip -y
         python3 -m pip install --upgrade pip
         python3 -m pip install setuptools ninja packaging -U
 

test/test_loggers.py

@@ -281,25 +281,27 @@ def test_log_video(self, wandb_logger):
         # C - number of image channels (e.g. 3 for RGB), H, W - image dimensions.
         # the first 64 frames are black and the next 64 are white
         video = torch.cat(
-            (torch.zeros(64, 1, 32, 32), torch.full((64, 1, 32, 32), 255))
+            (torch.zeros(128, 1, 32, 32), torch.full((128, 1, 32, 32), 255))
         )
         video = video[None, :]
         wandb_logger.log_video(
             name="foo",
             video=video,
-            fps=6,
+            fps=4,
+            format="mp4",
         )
         wandb_logger.log_video(
-            name="foo_12fps",
+            name="foo_16fps",
             video=video,
-            fps=24,
+            fps=16,
+            format="mp4",
         )
         sleep(0.01)  # wait until events are registered
 
         # check that fps can be passed and that it has impact on the length of the video
-        video_6fps_size = wandb_logger.experiment.summary["foo"]["size"]
-        video_24fps_size = wandb_logger.experiment.summary["foo_12fps"]["size"]
-        assert video_6fps_size > video_24fps_size, video_6fps_size
+        video_4fps_size = wandb_logger.experiment.summary["foo"]["size"]
+        video_16fps_size = wandb_logger.experiment.summary["foo_16fps"]["size"]
+        assert video_4fps_size > video_16fps_size, (video_4fps_size, video_16fps_size)
 
         # check that we catch the error in case the format of the tensor is wrong
         video_wrong_format = torch.zeros(64, 2, 32, 32)