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Use nvidia channel for linux cuda build #16

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Use nvidia channel for linux cuda build #16

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13 changes: 1 addition & 12 deletions CONTRIBUTING.md
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Expand Up @@ -31,19 +31,8 @@ outlined on that page and do not file a public issue.

### Install Dependencies

Same as in [README](README.md) with the exception of:
```
conda install pytorch torchvision torchtext cudatoolkit=11.3 -c pytorch-nightly

# For CPU-only install
conda install pytorch torchvision torchtext cpuonly -c pytorch-nightly
```

### Install TorchMultimodal

```
git clone --recursive https://github.com/facebookresearch/multimodal.git torchmultimodal
cd torchmultimodal
pip install -r requirements.txt
python setup.py develop
```

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13 changes: 7 additions & 6 deletions README.md
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Expand Up @@ -15,16 +15,17 @@ TorchMultimodal requires Python >= 3.8. The library can be installed with or wit

1. Create conda environment
```
conda create -n torch-multimodal
conda create -n torch-multimodal python=<python_version>
conda activate torch-multimodal
```
2. Install pytorch, torchvision, and torchtext. See [PyTorch documentation](https://pytorch.org/get-started/locally/).
```
conda install pytorch torchvision torchtext cudatoolkit=11.3 -c pytorch-nightly
For now we only support Linux platform.
```
conda install pytorch torchvision torchtext cudatoolkit=11.3 -c pytorch-nightly -c nvidia

# For CPU-only install
conda install pytorch torchvision torchtext cpuonly -c pytorch-nightly
```
# For CPU-only install
conda install pytorch torchvision torchtext cpuonly -c pytorch-nightly
```
3. Download and install TorchMultimodal and remaining requirements.
```
git clone --recursive https://github.com/facebookresearch/multimodal.git torchmultimodal
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