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Update instance type to ensure newer CUDA driver version
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buildspec.yml

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@ env:
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variables:
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FRAMEWORK_VERSIONS: '2.1.0 2.2.0'
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CPU_INSTANCE_TYPE: 'ml.c4.xlarge'
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GPU_INSTANCE_TYPE: 'ml.g4dn.12xlarge'
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GPU_INSTANCE_TYPE: 'ml.g5.12xlarge'
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ECR_REPO: 'sagemaker-test'
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GITHUB_REPO: 'sagemaker-pytorch-serving-container'
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DLC_ACCOUNT: '763104351884'

test/integration/sagemaker/test_multi_model_endpoint_sagemaker.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -49,7 +49,7 @@ def fixture_mme_endpoint(
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sagemaker_session, image_uri, region, use_gpu, resnet18_filename, traced_resnet18_filename, s3, bucket
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):
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try:
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instance_type = 'ml.g4dn.xlarge' if use_gpu else 'ml.c5.xlarge'
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instance_type = 'ml.g5.xlarge' if use_gpu else 'ml.c5.xlarge'
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endpoint_name = sagemaker.utils.unique_name_from_base("sagemaker-pytorch-serving")
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model_data = sagemaker_session.upload_data(

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