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feature: Add Neo image uri config for Pytorch 1.12 #3507

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Merged
merged 2 commits into from
Dec 7, 2022
Merged

feature: Add Neo image uri config for Pytorch 1.12 #3507

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eeebb45
feature add Neo image uri config for Pytorch 1.12
HappyAmazonian Dec 5, 2022
9c5fb18
Merge branch 'master' into neo_pt_112
HappyAmazonian Dec 6, 2022
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36 changes: 35 additions & 1 deletion src/sagemaker/image_uri_config/neo-pytorch.json
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,9 @@
"1.7.0": "1.7",
"1.7.1": "1.7",
"1.8.0": "1.8",
"1.8.1": "1.8"
"1.8.1": "1.8",
"1.12.0": "1.12",
"1.12.1": "1.12"
},
"versions": {
"1.4": {
Expand Down Expand Up @@ -173,6 +175,38 @@
"us-west-2": "301217895009"
},
"repository": "sagemaker-inference-pytorch"
},
"1.12": {
"py_versions": ["py3"],
"registries": {
"af-south-1": "774647643957",
"ap-east-1": "110948597952",
"ap-northeast-1": "941853720454",
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"ap-south-1": "763008648453",
"ap-southeast-1": "324986816169",
"ap-southeast-2": "355873309152",
"ca-central-1": "464438896020",
"cn-north-1": "472730292857",
"cn-northwest-1": "474822919863",
"eu-central-1": "746233611703",
"eu-north-1": "601324751636",
"eu-south-1": "966458181534",
"eu-west-1": "802834080501",
"eu-west-2": "205493899709",
"eu-west-3": "254080097072",
"me-south-1": "836785723513",
"sa-east-1": "756306329178",
"us-east-1": "785573368785",
"us-east-2": "007439368137",
"us-gov-west-1": "263933020539",
"us-iso-east-1": "167761179201",
"us-isob-east-1": "406031935815",
"us-west-1": "710691900526",
"us-west-2": "301217895009"
},
"repository": "sagemaker-inference-pytorch"
}
}
}
4 changes: 2 additions & 2 deletions tests/data/pytorch_neo/code/inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,8 +71,8 @@ def model_fn(model_dir):
logger.info("model_fn")
neopytorch.config(model_dir=model_dir, neo_runtime=True)
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# The compiled model is saved as "model.pth"
model = torch.jit.load(os.path.join(model_dir, "model.pth"), map_location=device)
# The compiled model is saved as "model.pth" or "model.pt"
model = torch.jit.load(os.path.join(model_dir, "model.pt"), map_location=device)

# It is recommended to run warm-up inference during model load
sample_input_path = os.path.join(model_dir, "sample_input.pkl")
Expand Down