TGI 1.0.3 Release

[amzn-choeric]

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Description

Modifying the release images for TGI 1.0.2 for preparation.

Tests run

NOTE: By default, docker builds are disabled. In order to build your container, please update dlc_developer_config.toml and specify the framework to build in "build_frameworks"

• I have run builds/tests on commit for my changes.

NOTE: If you are creating a PR for a new framework version, please ensure success of the standard, rc, and efa sagemaker remote tests by updating the dlc_developer_config.toml file:

• Revision A: sagemaker_remote_tests = "standard"
• Revision B: sagemaker_remote_tests = "rc"
• Revision C: sagemaker_remote_tests = "efa"

Additionally, please run the sagemaker local tests in at least one revision:

• sagemaker_local_tests = true

Formatting

• I have run black -l 100 on my code (formatting tool: https://black.readthedocs.io/en/stable/getting_started.html)

DLC image/dockerfile

Additional context

PR Checklist

• I've prepended PR tag with frameworks/job this applies to : [mxnet, tensorflow, pytorch] | [ei/neuron/graviton] | [build] | [test] | [benchmark] | [ec2, ecs, eks, sagemaker]
• If the PR changes affects SM test, I've modified dlc_developer_config.toml in my PR branch by setting sagemaker_tests = true and efa_tests = true
• If this PR changes existing code, the change fully backward compatible with pre-existing code. (Non backward-compatible changes need special approval.)
• (If applicable) I've documented below the DLC image/dockerfile this relates to
• (If applicable) I've documented below the tests I've run on the DLC image
• (If applicable) I've reviewed the licenses of updated and new binaries and their dependencies to make sure all licenses are on the Apache Software Foundation Third Party License Policy Category A or Category B license list. See https://www.apache.org/legal/resolved.html.
• (If applicable) I've scanned the updated and new binaries to make sure they do not have vulnerabilities associated with them.

Pytest Marker Checklist

• (If applicable) I have added the marker @pytest.mark.model("<model-type>") to the new tests which I have added, to specify the Deep Learning model that is used in the test (use "N/A" if the test doesn't use a model)
• (If applicable) I have added the marker @pytest.mark.integration("<feature-being-tested>") to the new tests which I have added, to specify the feature that will be tested
• (If applicable) I have added the marker @pytest.mark.multinode(<integer-num-nodes>) to the new tests which I have added, to specify the number of nodes used on a multi-node test
• (If applicable) I have added the marker @pytest.mark.processor(<"cpu"/"gpu"/"eia"/"neuron">) to the new tests which I have added, if a test is specifically applicable to only one processor type

EIA/NEURON/GRAVITON Testing Checklist

• When creating a PR:

• I've modified dlc_developer_config.toml in my PR branch by setting ei_mode = true, neuron_mode = true or graviton_mode = true

Benchmark Testing Checklist

• When creating a PR:

• I've modified dlc_developer_config.toml in my PR branch by setting benchmark_mode = true

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license. I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

[ystarikovich]

@haixiw is there a plan to merge this PR in the near future? Is there a possibility of accessing the image before the official release? I was checking the image 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-tgi-inference:2.0.1-tgi1.0.3-gpu-py39-cu118-ubuntu20.04 but the manifest is still unknown.

I that the PR - awslabs/llm-hosting-container#30 got already approved

[haixiw]

@haixiw is there a plan to merge this PR in the near future? Is there a possibility of accessing the image before the official release? I was checking the image 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-tgi-inference:2.0.1-tgi1.0.3-gpu-py39-cu118-ubuntu20.04 but the manifest is still unknown.

I that the PR - awslabs/llm-hosting-container#30 got already approved

Yeah we are gonna release this in a week or so. Accessing image before official image is not allowed by the process, But let me know if it's urgently needed Thanks

[ystarikovich]

@haixiw is there a plan to merge this PR in the near future? Is there a possibility of accessing the image before the official release? I was checking the image 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-tgi-inference:2.0.1-tgi1.0.3-gpu-py39-cu118-ubuntu20.04 but the manifest is still unknown.
I that the PR - awslabs/llm-hosting-container#30 got already approved

Yeah we are gonna release this in a week or so. Accessing image before official image is not allowed by the process, But let me know if it's urgently needed Thanks

Would be great to have EAP. I created the AWS case as well for the same, but generally speaking this would be helpful to have earlier access. We found a workaround, but maybe we will hit again some limitations and will be forced to use TGI 1.0.3. So I will contact again.

[haixiw]

new PR:#3323