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* Fixed several spelling errors under colossalai * Fix the spelling error in colossalai and docs directory * Cautious Changed the spelling error under the example folder * Update runtime_preparation_pass.py revert autograft to autograd * Update search_chunk.py utile to until * Update check_installation.py change misteach to mismatch in line 91 * Update 1D_tensor_parallel.md revert to perceptron * Update 2D_tensor_parallel.md revert to perceptron in line 73 * Update 2p5D_tensor_parallel.md revert to perceptron in line 71 * Update 3D_tensor_parallel.md revert to perceptron in line 80 * Update README.md revert to resnet in line 42 * Update reorder_graph.py revert to indice in line 7 * Update p2p.py revert to megatron in line 94 * Update initialize.py revert to torchrun in line 198 * Update routers.py change to detailed in line 63 * Update routers.py change to detailed in line 146 * Update README.md revert random number in line 402
39 lines
914 B
Markdown
39 lines
914 B
Markdown
# Pipeline Parallelism Demo with GPT2
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## Requirements
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Before you can launch training, you need to install the following requirements.
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### Install PyTorch
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```bash
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#conda
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conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch
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#pip
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pip install torch==1.12.0+cu113 torchvision==0.13.0+cu113 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113
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```
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### Install [Colossal-AI v0.2.0](https://colossalai.org/download/) From Official Website
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```bash
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pip install colossalai==0.2.0+torch1.12cu11.3 -f https://release.colossalai.org
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```
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### Install transformers
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```bash
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pip install transformers
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```
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## Dataset
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For simplicity, the input data is randomly generated here.
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## Training
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```bash
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#Run the Pipeline Parallel on GPT with default setting and a dummy dataset.
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#You can change the GPU number or microbatch number in the run.sh .
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bash run.sh
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```
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