Automated Neural Architecture Construction (AutoNAC)

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The Automated Neural Architecture Construction (AutoNAC) technology is an algorithmic optimization engine that squeezes maximum utilization out of any hardware. It contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. The AutoNAC is Deci’s proprietary technology that powers its Deep Learning Acceleration Platform.

AutoNAC

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")