try without categories

.github/workflows/ci.yaml

@@ -29,7 +29,7 @@ jobs:
         shell: bash
 
       - name: Install Pipfile packages
-        run: pipenv sync --python 3.10 --categories="packages dev-packages cpu"
+        run: pipenv sync --python 3.10 --dev
         shell: bash
 
       - name: Formatting

Pipfile

@@ -6,24 +6,18 @@ name = "pypi"
 [[source]]
 url = "https://download.pytorch.org/whl/cpu"
 verify_ssl = true
-name = "pytorch-cpu"
+name = "pytorchcpu"
 
 [packages]
 audiocraft = "*"
 librosa = "*"
 music_interpolation = { editable = true, path = "." }
 numpy = "*"
 soundfile = "*"
+torch = { version = "~=2.0", index = "pytorchcpu" }
+torchaudio = { version = "~=2.0", index = "pytorchcpu" }
 transformers = "~=4.0"
 
-[cpu]
-torch = { version = "~=2.0", index = "pytorch-cpu" }
-torchaudio = { version = "~=2.0", index = "pytorch-cpu" }
-
-[gpu]
-torch = "~=2.0"
-torchaudio = "~=2.0"
-
 [dev-packages]
 argparse = "==1.4.0"
 black = "==23.7.0"

README.md

@@ -11,10 +11,7 @@ This repository is a sandbox to experiment with machine learning techniques for
 1. `git clone https://github.com/jhurliman/music-interpolation.git`
 2. `cd music-interpolation`
 3. Install pipenv if you have not already: `pip install pipenv`
-4. Install dependencies: `pipenv sync --python 3.10 --categories="packages dev-packages cpu"`
-
-> Note: Replace `cpu` with `gpu` if you have a CUDA-enabled GPU and want to use it
-
+4. Install dependencies: `pipenv sync --python 3.10 --dev`
 5. Run tests: `pipenv run pytest`
 
 ## Usage