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I use the tool assets/tflite_export.py to convert effcientvit_b1 to tflite, I noticed that in the function TFLiteConverter, the parameter quantize_target_type is set to the default value 'uint8'. However, the output weight file does not include quantized and dequantized layers; each layer is still in float32 format."
The text was updated successfully, but these errors were encountered:
I use the tool assets/tflite_export.py to convert effcientvit_b1 to tflite, I noticed that in the function TFLiteConverter, the parameter quantize_target_type is set to the default value 'uint8'. However, the output weight file does not include quantized and dequantized layers; each layer is still in float32 format."
The text was updated successfully, but these errors were encountered: