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change: add compilation option for ml_eia2 #2242

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Merged
merged 15 commits into from
Mar 30, 2021
Merged

change: add compilation option for ml_eia2 #2242

merged 15 commits into from
Mar 30, 2021

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Yixiao99
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Issue #, if available:

Description of changes:

Testing done:

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  • I have read the CONTRIBUTING doc
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@@ -651,7 +651,9 @@ def compile(
job_status = self.sagemaker_session.wait_for_compilation_job(job_name)
self.model_data = job_status["ModelArtifacts"]["S3ModelArtifacts"]
if target_instance_family is not None:
if target_instance_family.startswith("ml_"):
if target_instance_family == "ml_eia2":
LOGGER.info("You are using target device ml_eia2...")
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what is this for?

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Our trt target device name is "ml_eia2", we don't need neither set the _compilation_image_uri which is just for neo and inferentia nor set the model as compiled since in our case the compiled model uses the same deploy workflow as what the uncompiled model does.

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