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I followed the steps in https://github.com/pytorch/torchrec/tree/main/torchrec/inference to test inference. But in 4. Build inference library and example server, the Build server and C++ protobufs fa…
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### Product Version
- [ ] Amazon SageMaker Studio Classic
- [X] Amazon SageMaker Studio
- [ ] It is not related to SageMaker Studio
### Product Category
Pipelines, Other
### Description
Currently…
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### System Info
Sagemaker Docker images:
```shell
763104351884.dkr.ecr.us-east-2.amazonaws.com/huggingface-pytorch-training-neuronx:1.13.1-transformers4.36.2-neuronx-py310-sdk2.18.0-ubuntu20.04
…
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I've been following the walkthough found [here](https://github.com/developmentseed/label-maker/blob/master/examples/walkthrough-classification-mxnet-sagemaker.md) (albeit with a smaller bounding box),…
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**Link to the notebook**
[Example Notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segm…
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### Name of the resource
AWS::SageMaker::Domain
### Resource Name
_No response_
### Issue Description
SageMaker Studio Domains deploy an EFS share as part of its resource provisioning. When delet…
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### Terraform Core Version
1.8.3
### AWS Provider Version
5.42.0
### Affected Resource(s)
When specifying a `custom_image` inside a `sagemaker_domain`, the `image_version_number` field is optiona…
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### Community Note
* Please vote on this issue by adding a 👍 [reaction](https://blog.github.com/2016-03-10-add-reactions-to-pull-requests-issues-and-comments/) to the original issue to help…
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### System Info
```shell
I'm compiling a fine-tuned Llama 3.1 70B model with the below system info on an inf2.48xlarge machine. I'm using neuronX TGI 0.0.25 with AWS Sagemaker. I get the below err…
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### System Info
```shell
Using TGI v0.0.24 to deploy the model on SageMaker
```
### Who can help?
@dacorvo
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### T…