Add support for serverless inference endpoints#242
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Job PR-242-1cec676 is done. |
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Job PR-242-a511459 is done. |
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Description of changes:
inference_mode("realtime"|"serverless") andinference_configkwargs toSagemakerBackend.deploy,CloudPredictor.deploy, andTimeSeriesFoundationModel.deploy. Serverless usesServerlessInferenceConfigwith presetmemory_size_in_mb=4096,max_concurrency=5, overlaid by userinference_config. SetsLOG_LOCATION/METRICS_LOCATION=/tmpfor serverless (TorchServe fails on read-only/).JobPredictionFuture(endpoint/prediction_future.py) —status()/result()handle returned bypredict(wait=False)instead ofNone.0.4.2→0.5.0.By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.