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https://developer.nvidia.com/blog/achieving-fp32-accuracy-for-int8-inference-using-quantization-aware-training-with-tensorrt

Achieving FP32 Accuracy for INT8 Inference Using Quantization Aware Training with NVIDIA TensorRT | NVIDIA Technical Blog

○ TensorRT is an SDK for high-performance deep learning inference and with TensorRT 8.0, you can import models trained using Quantization Aware Training (QAT)…



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Achieving FP32 Accuracy for INT8 Inference Using Quantization Aware Training with NVIDIA TensorRT | NVIDIA Technical Blog

https://developer.nvidia.com/blog/achieving-fp32-accuracy-for-int8-inference-using-quantization-aware-training-with-tensorrt

○ TensorRT is an SDK for high-performance deep learning inference and with TensorRT 8.0, you can import models trained using Quantization Aware Training (QAT)…



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https://developer.nvidia.com/blog/achieving-fp32-accuracy-for-int8-inference-using-quantization-aware-training-with-tensorrt

Achieving FP32 Accuracy for INT8 Inference Using Quantization Aware Training with NVIDIA TensorRT | NVIDIA Technical Blog

○ TensorRT is an SDK for high-performance deep learning inference and with TensorRT 8.0, you can import models trained using Quantization Aware Training (QAT)…

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      ○ TensorRT is an SDK for high-performance deep learning inference and with TensorRT 8.0, you can import models trained using Quantization Aware Training (QAT) to run inference in INT8 precision…
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      ○ TensorRT is an SDK for high-performance deep learning inference and with TensorRT 8.0, you can import models trained using Quantization Aware Training (QAT) to run inference in INT8 precision…
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