from ... import functional as F
from .. import conv as Float
from .module import QATModule
class Conv2d(Float.Conv2d, QATModule):
def calc_conv_qat(self, inp):
w_qat = self.apply_quant_weight(self.weight)
b_qat = self.apply_quant_bias(self.bias, inp, w_qat)
conv = self.calc_conv(inp, w_qat, b_qat)
return conv
@classmethod
def from_float_module(cls, float_module: Float.Conv2d):
qat_module = cls(
float_module.in_channels,
float_module.out_channels,
float_module.kernel_size,
float_module.stride,
float_module.padding,
float_module.dilation,
float_module.groups,
float_module.bias is not None,
float_module.conv_mode,
float_module.compute_mode,
float_module.padding_mode,
name=float_module.name,
)
qat_module.weight = float_module.weight
qat_module.bias = float_module.bias
return qat_module
def forward(self, inp):
return self.apply_quant_activation(self.calc_conv_qat(inp))
class ConvRelu2d(Conv2d):
def forward(self, inp):
return self.apply_quant_activation(F.relu(self.calc_conv_qat(inp)))
class ConvTranspose2d(Float.ConvTranspose2d, QATModule):
def calc_conv_transpose2d_qat(self, inp):
w_qat = self.apply_quant_weight(self.weight)
b_qat = self.apply_quant_bias(self.bias, inp, w_qat)
conv = self.calc_conv_transpose2d(inp, w_qat, b_qat)
return conv
@classmethod
def from_float_module(cls, float_module: Float.ConvTranspose2d):
qat_module = cls(
float_module.in_channels,
float_module.out_channels,
float_module.kernel_size,
float_module.stride,
float_module.padding,
float_module.dilation,
float_module.groups,
float_module.bias is not None,
float_module.conv_mode,
float_module.compute_mode,
name=float_module.name,
)
qat_module.weight = float_module.weight
qat_module.bias = float_module.bias
return qat_module
def forward(self, inp):
return self.apply_quant_activation(self.calc_conv_transpose2d_qat(inp))