All Content tagged with Amazon SageMaker Neo

Amazon SageMaker Neo enables developers to optimize machine learning (ML) models for inference on SageMaker in the cloud and supported devices at the edge.

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SageMaker AutoML Model - Neo Compilation

I have trained a binary image classification model using AutoML as the predictions the AutoML training provides are better than the model I trained in SageMaker using MXNET and image-classification tr...

answers

votes

165

views

Nick

asked a year ago

Error for Compilation job Failed. Reason: ClientError: Input...

**Error for Compilation job Failed. Reason: ClientError: InputConfiguration: TVM cannot convert the PyTorch model. Invalid model or input-shape mismatch. Make sure that inputs are lexically ordered an...

Amazon SageMaker DevOps Amazon SageMaker Neo AWS Panorama Machine Learning & AI

answers

votes

517

views

JY Chan

asked 2 years ago

ClientError: An error occurred (UnknownOperationException) w...

Hi all, I was following SageMaker Developer Guide for Model Deployment at the edge (https://docs.aws.amazon.com/sagemaker/latest/dg/edge-getting-started-step2.html) I received this error ClientError...

Amazon SageMaker Amazon SageMaker Neo Machine Learning & AI

answers

votes

357

views

JY Chan

asked 2 years ago

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