Source code for qtorch.quant.quant_module
import torch
import torch.nn as nn
from .quant_function import *
import numpy as np
__all__ = ["Quantizer"]
[docs]class Quantizer(nn.Module):
def __init__(
self,
forward_number=None,
backward_number=None,
forward_rounding="stochastic",
backward_rounding="stochastic",
):
super(Quantizer, self).__init__()
self.quantize = quantizer(
forward_number, backward_number, forward_rounding, backward_rounding
)