[Quantization] Update auto compression configs files. (#846)

* Fix links in readme

* Fix links in readme

* Update PPOCRv2/v3 examples

* Update auto compression configs

tools/common_tools/auto_compression/configs/README.md

@@ -24,7 +24,7 @@ Distillation:
   alpha: 1.0                                  #蒸馏loss所占权重
   loss: soft_label                            #蒸馏loss算法
 
-Quantization:
+QuantAware:
   onnx_format: true                           #是否采用ONNX量化标准格式, 要在FastDeploy上部署, 必须选true
   use_pact: true                              #量化训练是否使用PACT方法
   activation_quantize_type: 'moving_average_abs_max'     #激活量化方式

tools/common_tools/auto_compression/configs/README_EN.md

@@ -26,7 +26,7 @@ Distillation:
   alpha: 1.0                                  #Distillation loss weight
   loss: soft_label                            #Distillation loss algorithm
 
-Quantization:
+QuantAware:
   onnx_format: true                           #Whether to use ONNX quantization standard format or not, must be true to deploy on FastDeploy
   use_pact: true                              #Whether to use the PACT method for training
   activation_quantize_type: 'moving_average_abs_max'     #Activations quantization methods

tools/common_tools/auto_compression/configs/classification/mobilenetv1_ssld_quant.yaml

@@ -17,7 +17,7 @@ Distillation:
   - softmax_0.tmp_0
 
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false

tools/common_tools/auto_compression/configs/classification/resnet50_vd_quant.yaml

@@ -16,7 +16,7 @@ Distillation:
   node:
   - softmax_0.tmp_0
 
-Quantization:
+QuantAware:
   use_pact: true
   activation_bits: 8
   is_full_quantize: false

tools/common_tools/auto_compression/configs/detection/ppyoloe_plus_withNMS_quant.yaml

@@ -14,7 +14,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'

tools/common_tools/auto_compression/configs/detection/ppyoloe_withNMS_quant.yaml

@@ -14,7 +14,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'

tools/common_tools/auto_compression/configs/detection/yolov5s_quant.yaml

@@ -14,7 +14,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   use_pact: true
   activation_quantize_type: 'moving_average_abs_max'

tools/common_tools/auto_compression/configs/detection/yolov6s_quant.yaml

@@ -14,12 +14,13 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
+  - conv2d_transpose
 
 
 PTQ:

tools/common_tools/auto_compression/configs/detection/yolov7_quant.yaml

@@ -14,7 +14,7 @@ Distillation:
   alpha: 1.0
   loss: soft_label
 
-Quantization:
+QuantAware:
   onnx_format: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:

tools/common_tools/auto_compression/configs/segmentation/pp_liteseg_quant.yaml

@@ -17,7 +17,7 @@ Distillation:
   node:
   - conv2d_94.tmp_0
 
-Quantization:
+QuantAware:
   onnx_format: True
   quantize_op_types:
   - conv2d