fix inception (#1954)

torchvision/models/quantization/inception.py

@@ -138,14 +138,16 @@ class QuantizableInceptionD(inception_module.InceptionD):
 class QuantizableInceptionE(inception_module.InceptionE):
     def __init__(self, *args, **kwargs):
         super(QuantizableInceptionE, self).__init__(conv_block=QuantizableBasicConv2d, *args, **kwargs)
-        self.myop = nn.quantized.FloatFunctional()
+        self.myop1 = nn.quantized.FloatFunctional()
+        self.myop2 = nn.quantized.FloatFunctional()
+        self.myop3 = nn.quantized.FloatFunctional()
 
     def _forward(self, x):
         branch1x1 = self.branch1x1(x)
 
         branch3x3 = self.branch3x3_1(x)
         branch3x3 = [self.branch3x3_2a(branch3x3), self.branch3x3_2b(branch3x3)]
-        branch3x3 = self.myop.cat(branch3x3, 1)
+        branch3x3 = self.myop1.cat(branch3x3, 1)
 
         branch3x3dbl = self.branch3x3dbl_1(x)
         branch3x3dbl = self.branch3x3dbl_2(branch3x3dbl)
@@ -153,7 +155,7 @@ class QuantizableInceptionE(inception_module.InceptionE):
             self.branch3x3dbl_3a(branch3x3dbl),
             self.branch3x3dbl_3b(branch3x3dbl),
         ]
-        branch3x3dbl = self.myop.cat(branch3x3dbl, 1)
+        branch3x3dbl = self.myop2.cat(branch3x3dbl, 1)
 
         branch_pool = F.avg_pool2d(x, kernel_size=3, stride=1, padding=1)
         branch_pool = self.branch_pool(branch_pool)
@@ -163,7 +165,7 @@ class QuantizableInceptionE(inception_module.InceptionE):
 
     def forward(self, x):
         outputs = self._forward(x)
-        return self.myop.cat(outputs, 1)
+        return self.myop3.cat(outputs, 1)
 
 
 class QuantizableInceptionAux(inception_module.InceptionAux):