SelectionPostTraining
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
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