Comments (1)
Hi @JiliangNi, AIMET offers quantization simulation, which simulates the quantization noise by quantizing and dequantizing. So, to get INT8 vectors, you will have to run your model on a quantized hardware.
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Related Issues (20)
- Use correct device for blockwise grouped conv
- API Doc for ONNX Quant Analyzer
- Use size_t for cuda kernel loop
- Add recipe for ONNX custom ops, to the ONNX QuantSim notebook
- Rewrite for loop to use PyTorch elementwise operations
- How to use adaround when the model requires multiple inputs HOT 1
- ONNX AdaRound giving different accuracies across multiple runs of same config
- Set device for NMS op output
- Optimize GatherNd custom module
- CUDA out of memory HOT 3
- examples for YOLOv5 HOT 3
- Invalid value NaN in offset
- CPU placement of model inputs fails for non-tensor inputs
- Is prepare_model mandatory to use? HOT 1
- Input quantizers are not enabled when NMS, DepthToSpace are inputs to model
- How to get a Qoperator format ONNX model after quantization? HOT 3
- collect_inp_out_data() routine fails with InstanceNorm1d layer with no weights.
- Added input processing for infinite values
- Training or workshops? HOT 1
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