(part 3 of 3)
feature_extractor_blocks_3_1_conv_pwl_input_dtype_0);  feature_extractor_blocks_3_1_se = feature_extractor_blocks_3_1_conv_pwl_input_scale_0 = feature_extractor_blocks_3_1_conv_pwl_input_zero_point_0 = feature_extractor_blocks_3_1_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_3_1_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "3"), "1").conv_pwl(quantize_per_tensor_10);  quantize_per_tensor_10 = None
    feature_extractor_blocks_3_1_scale_0 = self.feature_extractor_blocks_3_1_scale_0
    feature_extractor_blocks_3_1_zero_point_0 = self.feature_extractor_blocks_3_1_zero_point_0
    add_4 = torch.ops.quantized.add(feature_extractor_blocks_3_1_conv_pwl, feature_extractor_blocks_3_0_conv_pwl, feature_extractor_blocks_3_1_scale_0, feature_extractor_blocks_3_1_zero_point_0);  feature_extractor_blocks_3_1_conv_pwl = feature_extractor_blocks_3_0_conv_pwl = feature_extractor_blocks_3_1_scale_0 = feature_extractor_blocks_3_1_zero_point_0 = None
    feature_extractor_blocks_3_2_conv_pw = getattr(getattr(self.feature_extractor.blocks, "3"), "2").conv_pw(add_4)
    feature_extractor_blocks_3_2_act1 = getattr(getattr(self.feature_extractor.blocks, "3"), "2").act1(feature_extractor_blocks_3_2_conv_pw);  feature_extractor_blocks_3_2_conv_pw = None
    feature_extractor_blocks_3_2_conv_dw = getattr(getattr(self.feature_extractor.blocks, "3"), "2").conv_dw(feature_extractor_blocks_3_2_act1);  feature_extractor_blocks_3_2_act1 = None
    feature_extractor_blocks_3_2_act2 = getattr(getattr(self.feature_extractor.blocks, "3"), "2").act2(feature_extractor_blocks_3_2_conv_dw);  feature_extractor_blocks_3_2_conv_dw = None
    dequantize_10 = feature_extractor_blocks_3_2_act2.dequantize();  feature_extractor_blocks_3_2_act2 = None
    feature_extractor_blocks_3_2_se = getattr(getattr(self.feature_extractor.blocks, "3"), "2").se(dequantize_10);  dequantize_10 = None
    feature_extractor_blocks_3_2_conv_pwl_input_scale_0 = self.feature_extractor_blocks_3_2_conv_pwl_input_scale_0
    feature_extractor_blocks_3_2_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_3_2_conv_pwl_input_zero_point_0
    feature_extractor_blocks_3_2_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_3_2_conv_pwl_input_dtype_0
    quantize_per_tensor_11 = torch.quantize_per_tensor(feature_extractor_blocks_3_2_se, feature_extractor_blocks_3_2_conv_pwl_input_scale_0, feature_extractor_blocks_3_2_conv_pwl_input_zero_point_0, feature_extractor_blocks_3_2_conv_pwl_input_dtype_0);  feature_extractor_blocks_3_2_se = feature_extractor_blocks_3_2_conv_pwl_input_scale_0 = feature_extractor_blocks_3_2_conv_pwl_input_zero_point_0 = feature_extractor_blocks_3_2_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_3_2_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "3"), "2").conv_pwl(quantize_per_tensor_11);  quantize_per_tensor_11 = None
    feature_extractor_blocks_3_2_scale_0 = self.feature_extractor_blocks_3_2_scale_0
    feature_extractor_blocks_3_2_zero_point_0 = self.feature_extractor_blocks_3_2_zero_point_0
    add_5 = torch.ops.quantized.add(feature_extractor_blocks_3_2_conv_pwl, add_4, feature_extractor_blocks_3_2_scale_0, feature_extractor_blocks_3_2_zero_point_0);  feature_extractor_blocks_3_2_conv_pwl = add_4 = feature_extractor_blocks_3_2_scale_0 = feature_extractor_blocks_3_2_zero_point_0 = None
    feature_extractor_blocks_3_3_conv_pw = getattr(getattr(self.feature_extractor.blocks, "3"), "3").conv_pw(add_5)
    feature_extractor_blocks_3_3_act1 = getattr(getattr(self.feature_extractor.blocks, "3"), "3").act1(feature_extractor_blocks_3_3_conv_pw);  feature_extractor_blocks_3_3_conv_pw = None
    feature_extractor_blocks_3_3_conv_dw = getattr(getattr(self.feature_extractor.blocks, "3"), "3").conv_dw(feature_extractor_blocks_3_3_act1);  feature_extractor_blocks_3_3_act1 = None
    feature_extractor_blocks_3_3_act2 = getattr(getattr(self.feature_extractor.blocks, "3"), "3").act2(feature_extractor_blocks_3_3_conv_dw);  feature_extractor_blocks_3_3_conv_dw = None
    dequantize_11 = feature_extractor_blocks_3_3_act2.dequantize();  feature_extractor_blocks_3_3_act2 = None
    feature_extractor_blocks_3_3_se = getattr(getattr(self.feature_extractor.blocks, "3"), "3").se(dequantize_11);  dequantize_11 = None
    feature_extractor_blocks_3_3_conv_pwl_input_scale_0 = self.feature_extractor_blocks_3_3_conv_pwl_input_scale_0
    feature_extractor_blocks_3_3_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_3_3_conv_pwl_input_zero_point_0
    feature_extractor_blocks_3_3_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_3_3_conv_pwl_input_dtype_0
    quantize_per_tensor_12 = torch.quantize_per_tensor(feature_extractor_blocks_3_3_se, feature_extractor_blocks_3_3_conv_pwl_input_scale_0, feature_extractor_blocks_3_3_conv_pwl_input_zero_point_0, feature_extractor_blocks_3_3_conv_pwl_input_dtype_0);  feature_extractor_blocks_3_3_se = feature_extractor_blocks_3_3_conv_pwl_input_scale_0 = feature_extractor_blocks_3_3_conv_pwl_input_zero_point_0 = feature_extractor_blocks_3_3_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_3_3_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "3"), "3").conv_pwl(quantize_per_tensor_12);  quantize_per_tensor_12 = None
    feature_extractor_blocks_3_3_scale_0 = self.feature_extractor_blocks_3_3_scale_0
    feature_extractor_blocks_3_3_zero_point_0 = self.feature_extractor_blocks_3_3_zero_point_0
    add_6 = torch.ops.quantized.add(feature_extractor_blocks_3_3_conv_pwl, add_5, feature_extractor_blocks_3_3_scale_0, feature_extractor_blocks_3_3_zero_point_0);  feature_extractor_blocks_3_3_conv_pwl = add_5 = feature_extractor_blocks_3_3_scale_0 = feature_extractor_blocks_3_3_zero_point_0 = None
    feature_extractor_blocks_4_0_conv_pw = getattr(getattr(self.feature_extractor.blocks, "4"), "0").conv_pw(add_6);  add_6 = None
    feature_extractor_blocks_4_0_act1 = getattr(getattr(self.feature_extractor.blocks, "4"), "0").act1(feature_extractor_blocks_4_0_conv_pw);  feature_extractor_blocks_4_0_conv_pw = None
    feature_extractor_blocks_4_0_conv_dw = getattr(getattr(self.feature_extractor.blocks, "4"), "0").conv_dw(feature_extractor_blocks_4_0_act1);  feature_extractor_blocks_4_0_act1 = None
    feature_extractor_blocks_4_0_act2 = getattr(getattr(self.feature_extractor.blocks, "4"), "0").act2(feature_extractor_blocks_4_0_conv_dw);  feature_extractor_blocks_4_0_conv_dw = None
    dequantize_12 = feature_extractor_blocks_4_0_act2.dequantize();  feature_extractor_blocks_4_0_act2 = None
    feature_extractor_blocks_4_0_se = getattr(getattr(self.feature_extractor.blocks, "4"), "0").se(dequantize_12);  dequantize_12 = None
    feature_extractor_blocks_4_0_conv_pwl_input_scale_0 = self.feature_extractor_blocks_4_0_conv_pwl_input_scale_0
    feature_extractor_blocks_4_0_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_4_0_conv_pwl_input_zero_point_0
    feature_extractor_blocks_4_0_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_4_0_conv_pwl_input_dtype_0
    quantize_per_tensor_13 = torch.quantize_per_tensor(feature_extractor_blocks_4_0_se, feature_extractor_blocks_4_0_conv_pwl_input_scale_0, feature_extractor_blocks_4_0_conv_pwl_input_zero_point_0, feature_extractor_blocks_4_0_conv_pwl_input_dtype_0);  feature_extractor_blocks_4_0_se = feature_extractor_blocks_4_0_conv_pwl_input_scale_0 = feature_extractor_blocks_4_0_conv_pwl_input_zero_point_0 = feature_extractor_blocks_4_0_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_4_0_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "4"), "0").conv_pwl(quantize_per_tensor_13);  quantize_per_tensor_13 = None
    feature_extractor_blocks_4_1_conv_pw = getattr(getattr(self.feature_extractor.blocks, "4"), "1").conv_pw(feature_extractor_blocks_4_0_conv_pwl)
    feature_extractor_blocks_4_1_act1 = getattr(getattr(self.feature_extractor.blocks, "4"), "1").act1(feature_extractor_blocks_4_1_conv_pw);  feature_extractor_blocks_4_1_conv_pw = None
    feature_extractor_blocks_4_1_conv_dw = getattr(getattr(self.feature_extractor.blocks, "4"), "1").conv_dw(feature_extractor_blocks_4_1_act1);  feature_extractor_blocks_4_1_act1 = None
    feature_extractor_blocks_4_1_act2 = getattr(getattr(self.feature_extractor.blocks, "4"), "1").act2(feature_extractor_blocks_4_1_conv_dw);  feature_extractor_blocks_4_1_conv_dw = None
    dequantize_13 = feature_extractor_blocks_4_1_act2.dequantize();  feature_extractor_blocks_4_1_act2 = None
    feature_extractor_blocks_4_1_se = getattr(getattr(self.feature_extractor.blocks, "4"), "1").se(dequantize_13);  dequantize_13 = None
    feature_extractor_blocks_4_1_conv_pwl_input_scale_0 = self.feature_extractor_blocks_4_1_conv_pwl_input_scale_0
    feature_extractor_blocks_4_1_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_4_1_conv_pwl_input_zero_point_0
    feature_extractor_blocks_4_1_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_4_1_conv_pwl_input_dtype_0
    quantize_per_tensor_14 = torch.quantize_per_tensor(feature_extractor_blocks_4_1_se, feature_extractor_blocks_4_1_conv_pwl_input_scale_0, feature_extractor_blocks_4_1_conv_pwl_input_zero_point_0, feature_extractor_blocks_4_1_conv_pwl_input_dtype_0);  feature_extractor_blocks_4_1_se = feature_extractor_blocks_4_1_conv_pwl_input_scale_0 = feature_extractor_blocks_4_1_conv_pwl_input_zero_point_0 = feature_extractor_blocks_4_1_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_4_1_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "4"), "1").conv_pwl(quantize_per_tensor_14);  quantize_per_tensor_14 = None
    feature_extractor_blocks_4_1_scale_0 = self.feature_extractor_blocks_4_1_scale_0
    feature_extractor_blocks_4_1_zero_point_0 = self.feature_extractor_blocks_4_1_zero_point_0
    add_7 = torch.ops.quantized.add(feature_extractor_blocks_4_1_conv_pwl, feature_extractor_blocks_4_0_conv_pwl, feature_extractor_blocks_4_1_scale_0, feature_extractor_blocks_4_1_zero_point_0);  feature_extractor_blocks_4_1_conv_pwl = feature_extractor_blocks_4_0_conv_pwl = feature_extractor_blocks_4_1_scale_0 = feature_extractor_blocks_4_1_zero_point_0 = None
    feature_extractor_blocks_4_2_conv_pw = getattr(getattr(self.feature_extractor.blocks, "4"), "2").conv_pw(add_7)
    feature_extractor_blocks_4_2_act1 = getattr(getattr(self.feature_extractor.blocks, "4"), "2").act1(feature_extractor_blocks_4_2_conv_pw);  feature_extractor_blocks_4_2_conv_pw = None
    feature_extractor_blocks_4_2_conv_dw = getattr(getattr(self.feature_extractor.blocks, "4"), "2").conv_dw(feature_extractor_blocks_4_2_act1);  feature_extractor_blocks_4_2_act1 = None
    feature_extractor_blocks_4_2_act2 = getattr(getattr(self.feature_extractor.blocks, "4"), "2").act2(feature_extractor_blocks_4_2_conv_dw);  feature_extractor_blocks_4_2_conv_dw = None
    dequantize_14 = feature_extractor_blocks_4_2_act2.dequantize();  feature_extractor_blocks_4_2_act2 = None
    feature_extractor_blocks_4_2_se = getattr(getattr(self.feature_extractor.blocks, "4"), "2").se(dequantize_14);  dequantize_14 = None
    feature_extractor_blocks_4_2_conv_pwl_input_scale_0 = self.feature_extractor_blocks_4_2_conv_pwl_input_scale_0
    feature_extractor_blocks_4_2_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_4_2_conv_pwl_input_zero_point_0
    feature_extractor_blocks_4_2_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_4_2_conv_pwl_input_dtype_0
    quantize_per_tensor_15 = torch.quantize_per_tensor(feature_extractor_blocks_4_2_se, feature_extractor_blocks_4_2_conv_pwl_input_scale_0, feature_extractor_blocks_4_2_conv_pwl_input_zero_point_0, feature_extractor_blocks_4_2_conv_pwl_input_dtype_0);  feature_extractor_blocks_4_2_se = feature_extractor_blocks_4_2_conv_pwl_input_scale_0 = feature_extractor_blocks_4_2_conv_pwl_input_zero_point_0 = feature_extractor_blocks_4_2_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_4_2_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "4"), "2").conv_pwl(quantize_per_tensor_15);  quantize_per_tensor_15 = None
    feature_extractor_blocks_4_2_scale_0 = self.feature_extractor_blocks_4_2_scale_0
    feature_extractor_blocks_4_2_zero_point_0 = self.feature_extractor_blocks_4_2_zero_point_0
    add_8 = torch.ops.quantized.add(feature_extractor_blocks_4_2_conv_pwl, add_7, feature_extractor_blocks_4_2_scale_0, feature_extractor_blocks_4_2_zero_point_0);  feature_extractor_blocks_4_2_conv_pwl = add_7 = feature_extractor_blocks_4_2_scale_0 = feature_extractor_blocks_4_2_zero_point_0 = None
    feature_extractor_blocks_5_0_conv_pw = getattr(getattr(self.feature_extractor.blocks, "5"), "0").conv_pw(add_8);  add_8 = None
    feature_extractor_blocks_5_0_act1 = getattr(getattr(self.feature_extractor.blocks, "5"), "0").act1(feature_extractor_blocks_5_0_conv_pw);  feature_extractor_blocks_5_0_conv_pw = None
    feature_extractor_blocks_5_0_conv_dw = getattr(getattr(self.feature_extractor.blocks, "5"), "0").conv_dw(feature_extractor_blocks_5_0_act1);  feature_extractor_blocks_5_0_act1 = None
    feature_extractor_blocks_5_0_act2 = getattr(getattr(self.feature_extractor.blocks, "5"), "0").act2(feature_extractor_blocks_5_0_conv_dw);  feature_extractor_blocks_5_0_conv_dw = None
    dequantize_15 = feature_extractor_blocks_5_0_act2.dequantize();  feature_extractor_blocks_5_0_act2 = None
    feature_extractor_blocks_5_0_se = getattr(getattr(self.feature_extractor.blocks, "5"), "0").se(dequantize_15);  dequantize_15 = None
    feature_extractor_blocks_5_0_conv_pwl_input_scale_0 = self.feature_extractor_blocks_5_0_conv_pwl_input_scale_0
    feature_extractor_blocks_5_0_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_5_0_conv_pwl_input_zero_point_0
    feature_extractor_blocks_5_0_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_5_0_conv_pwl_input_dtype_0
    quantize_per_tensor_16 = torch.quantize_per_tensor(feature_extractor_blocks_5_0_se, feature_extractor_blocks_5_0_conv_pwl_input_scale_0, feature_extractor_blocks_5_0_conv_pwl_input_zero_point_0, feature_extractor_blocks_5_0_conv_pwl_input_dtype_0);  feature_extractor_blocks_5_0_se = feature_extractor_blocks_5_0_conv_pwl_input_scale_0 = feature_extractor_blocks_5_0_conv_pwl_input_zero_point_0 = feature_extractor_blocks_5_0_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_5_0_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "5"), "0").conv_pwl(quantize_per_tensor_16);  quantize_per_tensor_16 = None
    feature_extractor_blocks_5_1_conv_pw = getattr(getattr(self.feature_extractor.blocks, "5"), "1").conv_pw(feature_extractor_blocks_5_0_conv_pwl)
    feature_extractor_blocks_5_1_act1 = getattr(getattr(self.feature_extractor.blocks, "5"), "1").act1(feature_extractor_blocks_5_1_conv_pw);  feature_extractor_blocks_5_1_conv_pw = None
    feature_extractor_blocks_5_1_conv_dw = getattr(getattr(self.feature_extractor.blocks, "5"), "1").conv_dw(feature_extractor_blocks_5_1_act1);  feature_extractor_blocks_5_1_act1 = None
    feature_extractor_blocks_5_1_act2 = getattr(getattr(self.feature_extractor.blocks, "5"), "1").act2(feature_extractor_blocks_5_1_conv_dw);  feature_extractor_blocks_5_1_conv_dw = None
    dequantize_16 = feature_extractor_blocks_5_1_act2.dequantize();  feature_extractor_blocks_5_1_act2 = None
    feature_extractor_blocks_5_1_se = getattr(getattr(self.feature_extractor.blocks, "5"), "1").se(dequantize_16);  dequantize_16 = None
    feature_extractor_blocks_5_1_conv_pwl_input_scale_0 = self.feature_extractor_blocks_5_1_conv_pwl_input_scale_0
    feature_extractor_blocks_5_1_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_5_1_conv_pwl_input_zero_point_0
    feature_extractor_blocks_5_1_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_5_1_conv_pwl_input_dtype_0
    quantize_per_tensor_17 = torch.quantize_per_tensor(feature_extractor_blocks_5_1_se, feature_extractor_blocks_5_1_conv_pwl_input_scale_0, feature_extractor_blocks_5_1_conv_pwl_input_zero_point_0, feature_extractor_blocks_5_1_conv_pwl_input_dtype_0);  feature_extractor_blocks_5_1_se = feature_extractor_blocks_5_1_conv_pwl_input_scale_0 = feature_extractor_blocks_5_1_conv_pwl_input_zero_point_0 = feature_extractor_blocks_5_1_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_5_1_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "5"), "1").conv_pwl(quantize_per_tensor_17);  quantize_per_tensor_17 = None
    feature_extractor_blocks_5_1_scale_0 = self.feature_extractor_blocks_5_1_scale_0
    feature_extractor_blocks_5_1_zero_point_0 = self.feature_extractor_blocks_5_1_zero_point_0
    add_9 = torch.ops.quantized.add(feature_extractor_blocks_5_1_conv_pwl, feature_extractor_blocks_5_0_conv_pwl, feature_extractor_blocks_5_1_scale_0, feature_extractor_blocks_5_1_zero_point_0);  feature_extractor_blocks_5_1_conv_pwl = feature_extractor_blocks_5_0_conv_pwl = feature_extractor_blocks_5_1_scale_0 = feature_extractor_blocks_5_1_zero_point_0 = None
    feature_extractor_blocks_5_2_conv_pw = getattr(getattr(self.feature_extractor.blocks, "5"), "2").conv_pw(add_9)
    feature_extractor_blocks_5_2_act1 = getattr(getattr(self.feature_extractor.blocks, "5"), "2").act1(feature_extractor_blocks_5_2_conv_pw);  feature_extractor_blocks_5_2_conv_pw = None
    feature_extractor_blocks_5_2_conv_dw = getattr(getattr(self.feature_extractor.blocks, "5"), "2").conv_dw(feature_extractor_blocks_5_2_act1);  feature_extractor_blocks_5_2_act1 = None
    feature_extractor_blocks_5_2_act2 = getattr(getattr(self.feature_extractor.blocks, "5"), "2").act2(feature_extractor_blocks_5_2_conv_dw);  feature_extractor_blocks_5_2_conv_dw = None
    dequantize_17 = feature_extractor_blocks_5_2_act2.dequantize();  feature_extractor_blocks_5_2_act2 = None
    feature_extractor_blocks_5_2_se = getattr(getattr(self.feature_extractor.blocks, "5"), "2").se(dequantize_17);  dequantize_17 = None
    feature_extractor_blocks_5_2_conv_pwl_input_scale_0 = self.feature_extractor_blocks_5_2_conv_pwl_input_scale_0
    feature_extractor_blocks_5_2_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_5_2_conv_pwl_input_zero_point_0
    feature_extractor_blocks_5_2_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_5_2_conv_pwl_input_dtype_0
    quantize_per_tensor_18 = torch.quantize_per_tensor(feature_extractor_blocks_5_2_se, feature_extractor_blocks_5_2_conv_pwl_input_scale_0, feature_extractor_blocks_5_2_conv_pwl_input_zero_point_0, feature_extractor_blocks_5_2_conv_pwl_input_dtype_0);  feature_extractor_blocks_5_2_se = feature_extractor_blocks_5_2_conv_pwl_input_scale_0 = feature_extractor_blocks_5_2_conv_pwl_input_zero_point_0 = feature_extractor_blocks_5_2_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_5_2_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "5"), "2").conv_pwl(quantize_per_tensor_18);  quantize_per_tensor_18 = None
    feature_extractor_blocks_5_2_scale_0 = self.feature_extractor_blocks_5_2_scale_0
    feature_extractor_blocks_5_2_zero_point_0 = self.feature_extractor_blocks_5_2_zero_point_0
    add_10 = torch.ops.quantized.add(feature_extractor_blocks_5_2_conv_pwl, add_9, feature_extractor_blocks_5_2_scale_0, feature_extractor_blocks_5_2_zero_point_0);  feature_extractor_blocks_5_2_conv_pwl = add_9 = feature_extractor_blocks_5_2_scale_0 = feature_extractor_blocks_5_2_zero_point_0 = None
    feature_extractor_blocks_6_0_conv_pw = getattr(getattr(self.feature_extractor.blocks, "6"), "0").conv_pw(add_10);  add_10 = None
    feature_extractor_blocks_6_0_act1 = getattr(getattr(self.feature_extractor.blocks, "6"), "0").act1(feature_extractor_blocks_6_0_conv_pw);  feature_extractor_blocks_6_0_conv_pw = None
    feature_extractor_blocks_6_0_conv_dw = getattr(getattr(self.feature_extractor.blocks, "6"), "0").conv_dw(feature_extractor_blocks_6_0_act1);  feature_extractor_blocks_6_0_act1 = None
    feature_extractor_blocks_6_0_act2 = getattr(getattr(self.feature_extractor.blocks, "6"), "0").act2(feature_extractor_blocks_6_0_conv_dw);  feature_extractor_blocks_6_0_conv_dw = None
    dequantize_18 = feature_extractor_blocks_6_0_act2.dequantize();  feature_extractor_blocks_6_0_act2 = None
    feature_extractor_blocks_6_0_se = getattr(getattr(self.feature_extractor.blocks, "6"), "0").se(dequantize_18);  dequantize_18 = None
    feature_extractor_blocks_6_0_conv_pwl_input_scale_0 = self.feature_extractor_blocks_6_0_conv_pwl_input_scale_0
    feature_extractor_blocks_6_0_conv_pwl_input_zero_point_0 = self.feature_extractor_blocks_6_0_conv_pwl_input_zero_point_0
    feature_extractor_blocks_6_0_conv_pwl_input_dtype_0 = self.feature_extractor_blocks_6_0_conv_pwl_input_dtype_0
    quantize_per_tensor_19 = torch.quantize_per_tensor(feature_extractor_blocks_6_0_se, feature_extractor_blocks_6_0_conv_pwl_input_scale_0, feature_extractor_blocks_6_0_conv_pwl_input_zero_point_0, feature_extractor_blocks_6_0_conv_pwl_input_dtype_0);  feature_extractor_blocks_6_0_se = feature_extractor_blocks_6_0_conv_pwl_input_scale_0 = feature_extractor_blocks_6_0_conv_pwl_input_zero_point_0 = feature_extractor_blocks_6_0_conv_pwl_input_dtype_0 = None
    feature_extractor_blocks_6_0_conv_pwl = getattr(getattr(self.feature_extractor.blocks, "6"), "0").conv_pwl(quantize_per_tensor_19);  quantize_per_tensor_19 = None
    feature_extractor_conv_head = self.feature_extractor.conv_head(feature_extractor_blocks_6_0_conv_pwl);  feature_extractor_blocks_6_0_conv_pwl = None
    feature_extractor_act2 = self.feature_extractor.act2(feature_extractor_conv_head);  feature_extractor_conv_head = None
    dequantize_19 = feature_extractor_act2.dequantize();  feature_extractor_act2 = None
    feature_extractor_global_pool_pool = self.feature_extractor.global_pool.pool(dequantize_19);  dequantize_19 = None
    feature_extractor_classifier = self.feature_extractor.classifier(feature_extractor_global_pool_pool);  feature_extractor_global_pool_pool = None
    getattr_1 = feature_extractor_classifier.shape
    getitem = getattr_1[-2];  getattr_1 = None
    max_pool2d_1 = torch.nn.functional.max_pool2d(feature_extractor_classifier, (getitem, 1), stride = 1, padding = 0, dilation = 1, ceil_mode = False, return_indices = False);  feature_extractor_classifier = getitem = None
    squeeze_1 = max_pool2d_1.squeeze(2);  max_pool2d_1 = None
    permute = squeeze_1.permute(0, 2, 1);  squeeze_1 = None
    rnn = self.rnn(permute);  permute = None
    getitem_1 = rnn[0]
    getitem_2 = rnn[1];  rnn = None
    relu_1 = self.relu(getitem_1);  getitem_1 = None
    dropout_1 = self.dropout(relu_1);  relu_1 = None
    fc_input_scale_0 = self.fc_input_scale_0
    fc_input_zero_point_0 = self.fc_input_zero_point_0
    fc_input_dtype_0 = self.fc_input_dtype_0
    quantize_per_tensor_20 = torch.quantize_per_tensor(dropout_1, fc_input_scale_0, fc_input_zero_point_0, fc_input_dtype_0);  dropout_1 = fc_input_scale_0 = fc_input_zero_point_0 = fc_input_dtype_0 = None
    fc = self.fc(quantize_per_tensor_20);  quantize_per_tensor_20 = None
    dequantize_20 = fc.dequantize();  fc = None
    return dequantize_20