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Add torchvision as dependency for image (#1131)
* Enhance RayClient shutdown process by resetting RAY_ADDRESS environment variable and improve logging for Grafana and Prometheus dashboard access with dynamic port information. Signed-off-by: Abhinav Garg <[email protected]> * move ray address around Signed-off-by: Praateek <[email protected]> * accept ip address as arg Signed-off-by: Praateek <[email protected]> * add torchvision Signed-off-by: Praateek <[email protected]> --------- Signed-off-by: Abhinav Garg <[email protected]> Signed-off-by: Praateek <[email protected]> Co-authored-by: Abhinav Garg <[email protected]>
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pyproject.toml

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@@ -75,10 +75,13 @@ audio_cuda12 = [
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"nemo_curator[cuda12]",
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]
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image_cpu = []
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image_cpu = [
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"torchvision"
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]
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# NVIDIA DALI (simplified; update the package to match your CUDA version if needed)
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image_cuda12 = [
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"nemo_curator[image_cpu]",
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"nemo_curator[cuda12]",
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"nemo_curator[deduplication_cuda12]",
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"nvidia-dali-cuda120",

uv.lock

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