fixes to solutions

Author: SkafteNicki

s3_reproducibility/config_files.md

@@ -218,10 +218,12 @@ look online for your answers before looking at the solution. Remember: its not a
         and the python code to load the configuration file and instantiate the optimizer could look like this
 
         ```python
+        import os
+
         import hydra
         import torch.optim as optim
 
-        @hydra.main(config_name="adam.yaml")
+        @hydra.main(config_name="adam.yaml", config_path=f"{os.getcwd()}/configs")
         def main(cfg):
             model = ...  # define the model we want to optimize
             # the first argument of any optimize is the parameters to optimize

s6_the_cloud/using_the_cloud.md

@@ -881,7 +881,7 @@ models, and then use other services for different parts of our pipeline.
                     machineType: n1-highmem-2
                 replicaCount: 1
                 containerSpec:
-                    imageUri: gcr.io/<project-id>/<docker-img>
+                    imageUri: <region>-docker.pkg.dev/<project-id>/<registry-name>/<image-name>:<image-tag>
                     env:
                     - name: WANDB_API_KEY
                       value: <your-wandb-api-key>
@@ -913,7 +913,7 @@ to inject secrets into our code without having to store them in the code itself.
             imageUri: gcr.io/<project-id>/<docker-img>
             env:
             - name: WANDB_API_KEY
-                value: $WANDB_API_KEY
+              value: $WANDB_API_KEY
     ```
 
     we do not want to store the `WANDB_API_KEY` in the config file, rather we would like to store it in the Secret
@@ -971,6 +971,8 @@ to inject secrets into our code without having to store them in the code itself.
             '--config',
             '${_VERTEX_TRAIN_CONFIG}',
           ]
+        substitutions:
+          _VERTEX_TRAIN_CONFIG: 'config.yaml'
         availableSecrets:
           secretManager:
           - versionName: projects/$PROJECT_ID/secrets/WANDB_API_KEY/versions/latest