diff --git a/Task_1/README.md b/Task_1/README.md index cf103d0..61affc0 100644 --- a/Task_1/README.md +++ b/Task_1/README.md @@ -11,6 +11,7 @@ Please ask any additional questions in our discussion pages on our github site a 2. [Git LFS](https://github.com/git-lfs/git-lfs#downloading) 2. Python with virtual environment management system: we recommend using [Anaconda](https://www.anaconda.com/products/individual). 3. **Windows- Only**: Pickle5 requires Microsoft C++ 14.0 or greater from the [C++ build tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/). +> * _Note: if you run into ```UnicodeDecodeError``` during installation, trying pinning ```openfl @ git+https://github.com/intel/openfl.git@v1.4``` in [setup.py](https://github.com/FeTS-AI/Challenge/blob/main/Task_1/setup.py#L31)_ 4. Use CUDA 11 for your installation as CUDA 12 is not compatible with this codebase. ### Instructions @@ -27,10 +28,12 @@ conda activate ./venv ``` 6. ```pip install --upgrade pip``` 7. Install Pytorch LTS (1.8.2) for your system using [these instructions](https://pytorch.org/get-started/locally/) -8. ```pip install .``` -9. ```python FeTS_Challenge.py``` -10. All lower-level details are in the [FeTS Challenge python file](./FeTS_Challenge.py) -11. To view intermediate results with TensorBoard during training, you can run the following command: +8. Set the environment variable `SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True` (to avoid sklearn deprecation error) +9. ```pip install .``` +> * _Note: if you run into ```ERROR: Failed building wheel for SimpleITK```, try running ```pip install SimpleITK --only-binary :all:``` then rerunning ```pip install .```_ +10. ```python FeTS_Challenge.py``` +11. All lower-level details are in the [FeTS Challenge python file](./FeTS_Challenge.py) +12. To view intermediate results with TensorBoard during training, you can run the following command: ```tensorboard --logdir ~/.local/workspace/logs/tensorboard``` ## Time to Convergence Metric (formerly "communication cost")