Arguments - 2.0 English

Vitis AI RNN User Guide (UG1563)

Document ID
UG1563
Release Date
2022-01-20
Version
2.0 English
model
Float module to be quantized.
input_signature
Input tensor with the same shape as real input of float module to be quantized, but the values can be random numbers.
quant_mode
A string that indicates which quantization mode the process is using:
  • calib: for calibration of quantization
  • test: for evaluation of quantized model
output_dir
Directory for quantization result and intermediate files. The default value is quantize_result.
bitwidth
Global quantization bit width. The default value is 8.