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JacoCheung
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Move root ReadMe env setting up to training
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examples/hstu/training/README.md

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@@ -10,20 +10,22 @@ This integration ensures efficient training by coordinating sparse (embedding) a
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## Environment Setup
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### Start from dockerfile
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We provide [dockerfile](./docker/Dockerfile) for users to build environment.
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We provide [dockerfile](../../../docker/Dockerfile) for users to build environment.
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```
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git clone https://github.com/NVIDIA/recsys-examples.git && cd recsys-examples
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docker build -f docker/Dockerfile --platform linux/amd64 -t recsys-examples:latest .
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```
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If you want to build image for Grace, you can use
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```
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git clone https://github.com/NVIDIA/recsys-examples.git && cd recsys-examples
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docker build -f docker/Dockerfile --platform linux/arm64 -t recsys-examples:latest .
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```
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You can also set your own base image with args `--build-arg <BASE_IMAGE>`.
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### Start from source file
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Before running examples, build and install libs under corelib following instruction in documentation:
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- [HSTU attention documentation](./corelib/hstu/README.md)
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- [Dynamic Embeddings documentation](./corelib/dynamicemb/README.md)
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- [HSTU attention documentation](.../../../corelib/hstu/README.md)
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- [Dynamic Embeddings documentation](.../../../corelib/dynamicemb/README.md)
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On top of those two core libs, Megatron-Core along with other libs are required. You can install them via pypi package:
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