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Hi Optimum guys,
Do you know how to enable fp16 input when use your quantized model? I find qconv2d don't support fp16 input.
The text was updated successfully, but these errors were encountered:
You should load the model with dtype=torch.float16, then quantize it. Do you have a specific code snippet that reproduces the error you are facing ?
dtype=torch.float16
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Hi, thanks for answering. I get this error when I use mix precision to Inference quantized model.
It seems that your weight is still fp32, Do you have a specific code snippet that reproduces the error you are facing ?
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Hi Optimum guys,
Do you know how to enable fp16 input when use your quantized model? I find qconv2d don't support fp16 input.
The text was updated successfully, but these errors were encountered: