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@@ -42,7 +42,7 @@ Here we discuss frequently asked questions that may occur and we found useful al
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The environment variable `TORCH_DISTRIBUTED_DEBUG` can be used to trigger additional useful logging and collective synchronization checks to ensure all ranks are synchronized appropriately. `TORCH_DISTRIBUTED_DEBUG` can be set to either OFF (default), INFO, or DETAIL depending on the debugging level required. Please note that the most verbose option, DETAIL may impact the application performance and thus should only be used when debugging issues.
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- We also added this environment variable in `setup_environ_flags` of the [train_utils.py](../src/llama_recipes/utils/train_utils.py), feel free to uncomment it if required.
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+ We also added this environment variable in `setup_environ_flags` of the [train_utils.py](../llama_recipes/utils/train_utils.py), feel free to uncomment it if required.
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9. I am getting import errors when running inference.
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Sanyam Bhutani