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[doc] Fix typo under colossalai and doc(#3618)
* 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
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@@ -76,7 +76,7 @@ def check_installation():
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click.echo("")
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click.echo(f"Note:")
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click.echo(
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f"1. AOT (ahead-of-time) compilation of the CUDA kernels occurs during installation when the environment varialbe CUDA_EXT=1 is set"
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f"1. AOT (ahead-of-time) compilation of the CUDA kernels occurs during installation when the environment variable CUDA_EXT=1 is set"
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)
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click.echo(f"2. If AOT compilation is not enabled, stay calm as the CUDA kernels can still be built during runtime")
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@@ -88,7 +88,7 @@ def check_installation():
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click.echo(f"Note:")
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click.echo(f"1. The table above checks the version compatibility of the libraries/tools in the current environment")
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click.echo(
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f" - PyTorch version mistach: whether the PyTorch version in the current environment is compatible with the PyTorch version used for AOT compilation"
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f" - PyTorch version mismatch: whether the PyTorch version in the current environment is compatible with the PyTorch version used for AOT compilation"
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)
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click.echo(
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f" - System and PyTorch CUDA version match: whether the CUDA version in the current environment is compatible with the CUDA version required by PyTorch"
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