Fix path for FedAvgRecipe (#3934)

Fix path for FedAvgRecipe.

### Description

Fix path for FedAvgRecipe.

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Quick tests passed locally by running `./runtest.sh`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated.

Co-authored-by: Chester Chen <[email protected]>

Author: nvkevlu

examples/advanced/experiment-tracking/README.md

@@ -7,7 +7,7 @@ This section demonstrates how NVIDIA FLARE supports flexible experiment tracking
 These examples use the Recipe API with the `add_experiment_tracking()` utility for simplified configuration:
 
 ```python
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 # Create your training recipe

examples/advanced/experiment-tracking/mlflow/hello-lightning-mlflow/README.md

@@ -11,7 +11,7 @@ as the deep learning training framework with **MLflow experiment tracking**.
 This example demonstrates PyTorch Lightning integration with MLflow tracking:
 
 ```python
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 # Create FedAvg recipe for Lightning model

examples/advanced/experiment-tracking/mlflow/hello-lightning-mlflow/job.py

@@ -16,7 +16,7 @@
 
 from model import LitNet
 
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 WORKSPACE = "/tmp/nvflare/jobs/workdir"

examples/advanced/experiment-tracking/mlflow/hello-pt-mlflow-client/README.md

@@ -19,7 +19,7 @@ This example demonstrates **site-specific (decentralized) MLflow tracking** usin
 This example shows how to configure per-client MLflow tracking:
 
 ```python
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.app_opt.tracking.mlflow.mlflow_receiver import MLflowReceiver
 from nvflare.apis.analytix import ANALYTIC_EVENT_TYPE
 

examples/advanced/experiment-tracking/mlflow/hello-pt-mlflow-client/job.py

@@ -17,7 +17,7 @@
 from model import SimpleNetwork
 
 from nvflare.apis.analytix import ANALYTIC_EVENT_TYPE
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.app_opt.tracking.mlflow.mlflow_receiver import MLflowReceiver
 
 WORKSPACE = "/tmp/nvflare/jobs/workdir"

examples/advanced/experiment-tracking/mlflow/hello-pt-mlflow/README.md

@@ -35,7 +35,7 @@ python3 job.py
 
 The Recipe API makes it simple:
 ```python
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 # Create training recipe

examples/advanced/experiment-tracking/mlflow/hello-pt-mlflow/job.py

@@ -16,7 +16,7 @@
 
 from model import SimpleNetwork
 
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 WORKSPACE = "/tmp/nvflare/jobs/workdir"

examples/advanced/experiment-tracking/tensorboard/README.md

@@ -13,7 +13,7 @@ This example demonstrates the **Recipe API** for easily adding TensorBoard strea
 This example uses the `FedAvgRecipe` with the `add_experiment_tracking()` utility to easily add TensorBoard streaming:
 
 ```python
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 # Create training recipe

examples/advanced/experiment-tracking/tensorboard/job.py

@@ -14,7 +14,7 @@
 
 from model import SimpleNetwork
 
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 if __name__ == "__main__":

examples/advanced/experiment-tracking/wandb/README.md

@@ -11,7 +11,7 @@ with **Weights & Biases (WandB)** experiment tracking.
 This example demonstrates Weights & Biases tracking with flexible options for server-side or client-side metric collection:
 
 ```python
-from nvflare.app_opt.pt.recipes import FedAvgRecipe
+from nvflare.app_opt.pt.recipes.fedavg import FedAvgRecipe
 from nvflare.recipe.utils import add_experiment_tracking
 
 # Create FedAvg recipe