quant matmul op in image classification act example (#1473)

example/auto_compression/image_classification/configs/EfficientNetB0/qat_dis.yaml

@@ -24,6 +24,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 
 TrainConfig:

example/auto_compression/image_classification/configs/GhostNet_x1_0/qat_dis.yaml

@@ -22,6 +22,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 TrainConfig:
   epochs: 1

example/auto_compression/image_classification/configs/InceptionV3/qat_dis.yaml

@@ -22,6 +22,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
   
 TrainConfig:

example/auto_compression/image_classification/configs/MobileNetV1/qat_dis.yaml

@@ -22,6 +22,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 TrainConfig:
   epochs: 1

example/auto_compression/image_classification/configs/MobileNetV3_large_x1_0/qat_dis.yaml

@@ -23,6 +23,7 @@ Quantization:
   - conv2d
   - depthwise_conv2d
   - matmul
+  - matmul_v2
   weight_bits: 8
 
 TrainConfig:

example/auto_compression/image_classification/configs/PPHGNet_tiny/qat_dis.yaml

@@ -24,6 +24,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 
 TrainConfig:

example/auto_compression/image_classification/configs/PPLCNetV2_base/qat_dis.yaml

@@ -24,6 +24,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 
 TrainConfig:

example/auto_compression/image_classification/configs/PPLCNet_x1_0/qat_dis.yaml

@@ -22,6 +22,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 TrainConfig:
   epochs: 1

example/auto_compression/image_classification/configs/ResNet50_vd/qat_dis.yaml

@@ -24,6 +24,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 
 TrainConfig:

example/auto_compression/image_classification/configs/ShuffleNetV2_x1_0/qat_dis.yaml

@@ -22,6 +22,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 TrainConfig:
   epochs: 1

example/auto_compression/image_classification/configs/SqueezeNet1_0/qat_dis.yaml

@@ -21,6 +21,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 TrainConfig:
   epochs: 1

example/auto_compression/image_classification/configs/SwinTransformer_base_patch4_window7_224/qat_dis.yaml

@@ -22,6 +22,8 @@ Quantization:
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - matmul
+  - matmul_v2
   weight_bits: 8
 TrainConfig:
   epochs: 1