From b2cb417842a1998795e8ead4d28d453343ab1bc0 Mon Sep 17 00:00:00 2001 From: Yang Nie Date: Tue, 23 May 2023 12:57:31 +0800 Subject: [PATCH] add-tinynet-tipc-configs --- .../TinyNet/TinyNet_A_train_infer_python.txt | 2 +- .../TinyNet/TinyNet_B_train_infer_python.txt | 54 +++++++++++++++++++ .../TinyNet/TinyNet_C_train_infer_python.txt | 54 +++++++++++++++++++ .../TinyNet/TinyNet_D_train_infer_python.txt | 54 +++++++++++++++++++ .../TinyNet/TinyNet_E_train_infer_python.txt | 54 +++++++++++++++++++ 5 files changed, 217 insertions(+), 1 deletion(-) create mode 100644 test_tipc/configs/TinyNet/TinyNet_B_train_infer_python.txt create mode 100644 test_tipc/configs/TinyNet/TinyNet_C_train_infer_python.txt create mode 100644 test_tipc/configs/TinyNet/TinyNet_D_train_infer_python.txt create mode 100644 test_tipc/configs/TinyNet/TinyNet_E_train_infer_python.txt diff --git a/test_tipc/configs/TinyNet/TinyNet_A_train_infer_python.txt b/test_tipc/configs/TinyNet/TinyNet_A_train_infer_python.txt index b19d69e7e6..c6939bcecb 100644 --- a/test_tipc/configs/TinyNet/TinyNet_A_train_infer_python.txt +++ b/test_tipc/configs/TinyNet/TinyNet_A_train_infer_python.txt @@ -37,7 +37,7 @@ inference_dir:null infer_model:../inference/ infer_export:True infer_quant:Fasle -inference:python/predict_cls.py -c configs/inference_cls.yaml +inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.transform_ops.0.ResizeImage.resize_short=219 -o PreProcess.transform_ops.1.CropImage.size=192 -o Global.use_gpu:True|False -o Global.enable_mkldnn:False -o Global.cpu_num_threads:1 diff --git a/test_tipc/configs/TinyNet/TinyNet_B_train_infer_python.txt b/test_tipc/configs/TinyNet/TinyNet_B_train_infer_python.txt new file mode 100644 index 0000000000..e23ad7c182 --- /dev/null +++ b/test_tipc/configs/TinyNet/TinyNet_B_train_infer_python.txt @@ -0,0 +1,54 @@ +===========================train_params=========================== +model_name:TinyNet_B +python:python3.7 +gpu_list:0|0,1 +-o Global.device:gpu +-o Global.auto_cast:null +-o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=120 +-o Global.output_dir:./output/ +-o DataLoader.Train.sampler.batch_size:8 +-o Global.pretrained_model:null +train_model_name:latest +train_infer_img_dir:./dataset/ILSVRC2012/val +null:null +## +trainer:norm_train +norm_train:tools/train.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_B.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -o Global.eval_during_train=False -o Global.save_interval=2 +pact_train:null +fpgm_train:null +distill_train:null +null:null +null:null +## +===========================eval_params=========================== +eval:tools/eval.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_B.yaml +null:null +## +===========================infer_params========================== +-o Global.save_inference_dir:./inference +-o Global.pretrained_model: +norm_export:tools/export_model.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_B.yaml +quant_export:null +fpgm_export:null +distill_export:null +kl_quant:null +export2:null +inference_dir:null +infer_model:../inference/ +infer_export:True +infer_quant:Fasle +inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.transform_ops.0.ResizeImage.resize_short=214 -o PreProcess.transform_ops.1.CropImage.size=188 +-o Global.use_gpu:True|False +-o Global.enable_mkldnn:False +-o Global.cpu_num_threads:1 +-o Global.batch_size:1 +-o Global.use_tensorrt:False +-o Global.use_fp16:False +-o Global.inference_model_dir:../inference +-o Global.infer_imgs:../dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG +-o Global.save_log_path:null +-o Global.benchmark:False +null:null +null:null +===========================infer_benchmark_params========================== +random_infer_input:[{float32,[3,188,188]}] \ No newline at end of file diff --git a/test_tipc/configs/TinyNet/TinyNet_C_train_infer_python.txt b/test_tipc/configs/TinyNet/TinyNet_C_train_infer_python.txt new file mode 100644 index 0000000000..8fb0043d0f --- /dev/null +++ b/test_tipc/configs/TinyNet/TinyNet_C_train_infer_python.txt @@ -0,0 +1,54 @@ +===========================train_params=========================== +model_name:TinyNet_C +python:python3.7 +gpu_list:0|0,1 +-o Global.device:gpu +-o Global.auto_cast:null +-o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=120 +-o Global.output_dir:./output/ +-o DataLoader.Train.sampler.batch_size:8 +-o Global.pretrained_model:null +train_model_name:latest +train_infer_img_dir:./dataset/ILSVRC2012/val +null:null +## +trainer:norm_train +norm_train:tools/train.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_C.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -o Global.eval_during_train=False -o Global.save_interval=2 +pact_train:null +fpgm_train:null +distill_train:null +null:null +null:null +## +===========================eval_params=========================== +eval:tools/eval.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_C.yaml +null:null +## +===========================infer_params========================== +-o Global.save_inference_dir:./inference +-o Global.pretrained_model: +norm_export:tools/export_model.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_C.yaml +quant_export:null +fpgm_export:null +distill_export:null +kl_quant:null +export2:null +inference_dir:null +infer_model:../inference/ +infer_export:True +infer_quant:Fasle +inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.transform_ops.0.ResizeImage.resize_short=210 -o PreProcess.transform_ops.1.CropImage.size=184 +-o Global.use_gpu:True|False +-o Global.enable_mkldnn:False +-o Global.cpu_num_threads:1 +-o Global.batch_size:1 +-o Global.use_tensorrt:False +-o Global.use_fp16:False +-o Global.inference_model_dir:../inference +-o Global.infer_imgs:../dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG +-o Global.save_log_path:null +-o Global.benchmark:False +null:null +null:null +===========================infer_benchmark_params========================== +random_infer_input:[{float32,[3,184,184]}] \ No newline at end of file diff --git a/test_tipc/configs/TinyNet/TinyNet_D_train_infer_python.txt b/test_tipc/configs/TinyNet/TinyNet_D_train_infer_python.txt new file mode 100644 index 0000000000..59512b1347 --- /dev/null +++ b/test_tipc/configs/TinyNet/TinyNet_D_train_infer_python.txt @@ -0,0 +1,54 @@ +===========================train_params=========================== +model_name:TinyNet_D +python:python3.7 +gpu_list:0|0,1 +-o Global.device:gpu +-o Global.auto_cast:null +-o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=120 +-o Global.output_dir:./output/ +-o DataLoader.Train.sampler.batch_size:8 +-o Global.pretrained_model:null +train_model_name:latest +train_infer_img_dir:./dataset/ILSVRC2012/val +null:null +## +trainer:norm_train +norm_train:tools/train.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_D.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -o Global.eval_during_train=False -o Global.save_interval=2 +pact_train:null +fpgm_train:null +distill_train:null +null:null +null:null +## +===========================eval_params=========================== +eval:tools/eval.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_D.yaml +null:null +## +===========================infer_params========================== +-o Global.save_inference_dir:./inference +-o Global.pretrained_model: +norm_export:tools/export_model.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_D.yaml +quant_export:null +fpgm_export:null +distill_export:null +kl_quant:null +export2:null +inference_dir:null +infer_model:../inference/ +infer_export:True +infer_quant:Fasle +inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.transform_ops.0.ResizeImage.resize_short=173 -o PreProcess.transform_ops.1.CropImage.size=152 +-o Global.use_gpu:True|False +-o Global.enable_mkldnn:False +-o Global.cpu_num_threads:1 +-o Global.batch_size:1 +-o Global.use_tensorrt:False +-o Global.use_fp16:False +-o Global.inference_model_dir:../inference +-o Global.infer_imgs:../dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG +-o Global.save_log_path:null +-o Global.benchmark:False +null:null +null:null +===========================infer_benchmark_params========================== +random_infer_input:[{float32,[3,152,152]}] \ No newline at end of file diff --git a/test_tipc/configs/TinyNet/TinyNet_E_train_infer_python.txt b/test_tipc/configs/TinyNet/TinyNet_E_train_infer_python.txt new file mode 100644 index 0000000000..ae6962af5b --- /dev/null +++ b/test_tipc/configs/TinyNet/TinyNet_E_train_infer_python.txt @@ -0,0 +1,54 @@ +===========================train_params=========================== +model_name:TinyNet_E +python:python3.7 +gpu_list:0|0,1 +-o Global.device:gpu +-o Global.auto_cast:null +-o Global.epochs:lite_train_lite_infer=2|whole_train_whole_infer=120 +-o Global.output_dir:./output/ +-o DataLoader.Train.sampler.batch_size:8 +-o Global.pretrained_model:null +train_model_name:latest +train_infer_img_dir:./dataset/ILSVRC2012/val +null:null +## +trainer:norm_train +norm_train:tools/train.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_E.yaml -o Global.seed=1234 -o DataLoader.Train.sampler.shuffle=False -o DataLoader.Train.loader.num_workers=0 -o DataLoader.Train.loader.use_shared_memory=False -o Global.eval_during_train=False -o Global.save_interval=2 +pact_train:null +fpgm_train:null +distill_train:null +null:null +null:null +## +===========================eval_params=========================== +eval:tools/eval.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_E.yaml +null:null +## +===========================infer_params========================== +-o Global.save_inference_dir:./inference +-o Global.pretrained_model: +norm_export:tools/export_model.py -c ppcls/configs/ImageNet/TinyNet/TinyNet_E.yaml +quant_export:null +fpgm_export:null +distill_export:null +kl_quant:null +export2:null +inference_dir:null +infer_model:../inference/ +infer_export:True +infer_quant:Fasle +inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.transform_ops.0.ResizeImage.resize_short=121 -o PreProcess.transform_ops.1.CropImage.size=106 +-o Global.use_gpu:True|False +-o Global.enable_mkldnn:False +-o Global.cpu_num_threads:1 +-o Global.batch_size:1 +-o Global.use_tensorrt:False +-o Global.use_fp16:False +-o Global.inference_model_dir:../inference +-o Global.infer_imgs:../dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG +-o Global.save_log_path:null +-o Global.benchmark:False +null:null +null:null +===========================infer_benchmark_params========================== +random_infer_input:[{float32,[3,106,106]}] \ No newline at end of file