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71424eb4
编写于
4月 07, 2022
作者:
S
shangliang Xu
提交者:
GitHub
4月 07, 2022
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[TIPC] update numpy infer input (#5623)
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test_tipc/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco_train_infer_python.txt
.../cascade_mask_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco_train_infer_python.txt
..._mask_rcnn_r50_vd_fpn_ssld_1x_coco_train_infer_python.txt
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test_tipc/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco_train_infer_python.txt
..._rcnn/cascade_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco_train_infer_python.txt
...scade_rcnn_r50_vd_fpn_ssld_1x_coco_train_infer_python.txt
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test_tipc/configs/dota/s2anet_1x_spine_train_infer_python.txt
..._tipc/configs/dota/s2anet_1x_spine_train_infer_python.txt
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test_tipc/configs/dota/s2anet_alignconv_2x_spine_train_infer_python.txt
...igs/dota/s2anet_alignconv_2x_spine_train_infer_python.txt
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test_tipc/configs/dota/s2anet_conv_2x_spine_train_infer_python.txt
.../configs/dota/s2anet_conv_2x_spine_train_infer_python.txt
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test_tipc/configs/face_detection/blazeface_1000e_train_infer_python.txt
...igs/face_detection/blazeface_1000e_train_infer_python.txt
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test_tipc/configs/face_detection/blazeface_fpn_ssh_1000e_train_infer_python.txt
..._detection/blazeface_fpn_ssh_1000e_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r101_1x_coco_train_infer_python.txt
...ster_rcnn/faster_rcnn_r101_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco_train_infer_python.txt
..._rcnn/faster_rcnn_r101_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco_train_infer_python.txt
...nn/faster_rcnn_r101_vd_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco_train_infer_python.txt
...r_rcnn/faster_rcnn_r34_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco_train_infer_python.txt
...cnn/faster_rcnn_r34_vd_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_1x_coco_train_infer_python.txt
...aster_rcnn/faster_rcnn_r50_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco_train_infer_python.txt
...r_rcnn/faster_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco_train_infer_python.txt
...er_rcnn/faster_rcnn_r50_vd_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco_train_infer_python.txt
...cnn/faster_rcnn_r50_vd_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco_train_infer_python.txt
.../faster_rcnn_swin_tiny_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco_train_infer_python.txt
...ter_rcnn_x101_vd_64x4d_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/fcos/fcos_dcn_r50_fpn_1x_coco_train_infer_python.txt
...figs/fcos/fcos_dcn_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/fcos/fcos_r50_fpn_1x_coco_train_infer_python.txt
.../configs/fcos/fcos_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/keypoint/dark_hrnet_w32_256x192_train_infer_python.txt
...gs/keypoint/dark_hrnet_w32_256x192_train_infer_python.txt
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test_tipc/configs/keypoint/dark_hrnet_w48_256x192_train_infer_python.txt
...gs/keypoint/dark_hrnet_w48_256x192_train_infer_python.txt
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test_tipc/configs/keypoint/higherhrnet_hrnet_w32_512_train_infer_python.txt
...keypoint/higherhrnet_hrnet_w32_512_train_infer_python.txt
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test_tipc/configs/keypoint/hrnet_w32_256x192_train_infer_python.txt
...configs/keypoint/hrnet_w32_256x192_train_infer_python.txt
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test_tipc/configs/keypoint/tinypose_128x96_train_infer_python.txt
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test_tipc/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco_train_infer_python.txt
...sk_rcnn/mask_rcnn_r101_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco_train_infer_python.txt
...rcnn/mask_rcnn_r101_vd_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/mask_rcnn/mask_rcnn_r50_1x_coco_train_infer_python.txt
...gs/mask_rcnn/mask_rcnn_r50_1x_coco_train_infer_python.txt
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test_tipc/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco_train_infer_python.txt
...ask_rcnn/mask_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco_train_infer_python.txt
..._rcnn/mask_rcnn_r50_vd_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco_train_infer_python.txt
...ask_rcnn_x101_vd_64x4d_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/mot/fairmot_dla34_30e_1088x608_train_infer_python.txt
...igs/mot/fairmot_dla34_30e_1088x608_train_infer_python.txt
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test_tipc/configs/mot/fairmot_dla34_30e_576x320_train_infer_python.txt
...figs/mot/fairmot_dla34_30e_576x320_train_infer_python.txt
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test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320_train_infer_python.txt
...mot_hrnetv2_w18_dlafpn_30e_576x320_train_infer_python.txt
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test_tipc/configs/mot/jde_darknet53_30e_1088x608_train_infer_python.txt
...igs/mot/jde_darknet53_30e_1088x608_train_infer_python.txt
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test_tipc/configs/mot/jde_darknet53_30e_576x320_train_infer_python.txt
...figs/mot/jde_darknet53_30e_576x320_train_infer_python.txt
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test_tipc/configs/picodet/picodet_l_640_coco_lcnet_train_infer_python.txt
...s/picodet/picodet_l_640_coco_lcnet_train_infer_python.txt
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test_tipc/configs/picodet/picodet_l_640_coco_train_infer_python.txt
...configs/picodet/picodet_l_640_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_lcnet_1_5x_416_coco_train_infer_python.txt
...icodet/picodet_lcnet_1_5x_416_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_m_416_coco_lcnet_train_infer_python.txt
...s/picodet/picodet_m_416_coco_lcnet_train_infer_python.txt
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test_tipc/configs/picodet/picodet_m_416_coco_train_infer_python.txt
...configs/picodet/picodet_m_416_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_mobilenetv3_large_1x_416_coco_train_infer_python.txt
...odet_mobilenetv3_large_1x_416_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_r18_640_coco_train_infer_python.txt
...nfigs/picodet/picodet_r18_640_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_s_320_coco_lcnet_train_infer_python.txt
...s/picodet/picodet_s_320_coco_lcnet_train_infer_python.txt
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test_tipc/configs/picodet/picodet_s_320_coco_train_infer_python.txt
...configs/picodet/picodet_s_320_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_shufflenetv2_1x_416_coco_train_infer_python.txt
...t/picodet_shufflenetv2_1x_416_coco_train_infer_python.txt
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test_tipc/configs/picodet/picodet_xs_320_coco_lcnet_train_infer_python.txt
.../picodet/picodet_xs_320_coco_lcnet_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_FPGM_train_infer_python.txt
...ppyolo/ppyolo_mbv3_large_coco_FPGM_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_KL_train_infer_python.txt
...s/ppyolo/ppyolo_mbv3_large_coco_KL_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_PACT_train_infer_python.txt
...ppyolo/ppyolo_mbv3_large_coco_PACT_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_infer_python.txt
...figs/ppyolo/ppyolo_mbv3_large_coco_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_mbv3_small_coco_train_infer_python.txt
...figs/ppyolo/ppyolo_mbv3_small_coco_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_r18vd_coco_train_infer_python.txt
...c/configs/ppyolo/ppyolo_r18vd_coco_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_FPGM_train_infer_python.txt
...yolo/ppyolo_r50vd_dcn_1x_coco_FPGM_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_KL_train_infer_python.txt
...ppyolo/ppyolo_r50vd_dcn_1x_coco_KL_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_PACT_train_infer_python.txt
...yolo/ppyolo_r50vd_dcn_1x_coco_PACT_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_infer_python.txt
...gs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_train_infer_python.txt
...nfigs/ppyolo/ppyolo_tiny_650e_coco_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolov2_r101vd_dcn_365e_coco_train_infer_python.txt
...yolo/ppyolov2_r101vd_dcn_365e_coco_train_infer_python.txt
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test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_infer_python.txt
...pyolo/ppyolov2_r50vd_dcn_365e_coco_train_infer_python.txt
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test_tipc/configs/ppyoloe/ppyoloe_crn_l_300e_coco_train_infer_python.txt
...gs/ppyoloe/ppyoloe_crn_l_300e_coco_train_infer_python.txt
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test_tipc/configs/ppyoloe/ppyoloe_crn_m_300e_coco_train_infer_python.txt
...gs/ppyoloe/ppyoloe_crn_m_300e_coco_train_infer_python.txt
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test_tipc/configs/ppyoloe/ppyoloe_crn_s_300e_coco_train_infer_python.txt
...gs/ppyoloe/ppyoloe_crn_s_300e_coco_train_infer_python.txt
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test_tipc/configs/ppyoloe/ppyoloe_crn_x_300e_coco_train_infer_python.txt
...gs/ppyoloe/ppyoloe_crn_x_300e_coco_train_infer_python.txt
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test_tipc/configs/solov2/solov2_r101_vd_fpn_3x_coco_train_infer_python.txt
.../solov2/solov2_r101_vd_fpn_3x_coco_train_infer_python.txt
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test_tipc/configs/solov2/solov2_r50_enhance_coco_train_infer_python.txt
...igs/solov2/solov2_r50_enhance_coco_train_infer_python.txt
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test_tipc/configs/solov2/solov2_r50_fpn_1x_coco_train_infer_python.txt
...figs/solov2/solov2_r50_fpn_1x_coco_train_infer_python.txt
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test_tipc/configs/ssd/ssdlite_mobilenet_v1_300_coco_train_infer_python.txt
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test_tipc/configs/ttfnet/ttfnet_darknet53_1x_coco_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_FPGM_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_KL_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_PACT_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_mobilenet_v1_270e_coco_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_r34_270e_coco_train_infer_python.txt
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test_tipc/configs/yolov3/yolov3_r50vd_dcn_270e_coco_train_infer_python.txt
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test_tipc/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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71424eb4
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/cascade_rcnn/cascade_mask_rcnn_r50_vd_fpn_ssld_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
\ No newline at end of file
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test_tipc/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/cascade_rcnn/cascade_rcnn_r50_vd_fpn_ssld_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/dota/s2anet_1x_spine_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,1024,1024]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x1024x1024.npy
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test_tipc/configs/dota/s2anet_alignconv_2x_spine_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,1024,1024]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x1024x1024.npy
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test_tipc/configs/dota/s2anet_conv_2x_spine_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,1024,1024]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x1024x1024.npy
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test_tipc/configs/face_detection/blazeface_1000e_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/face_detection/blazeface_fpn_ssh_1000e_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r101_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_r50_vd_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_swin_tiny_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/fcos/fcos_dcn_r50_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/fcos/fcos_r50_fpn_1x_coco_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:1
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@@ -56,4 +56,4 @@ epoch:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/keypoint/dark_hrnet_w32_256x192_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/keypoint_infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,256,192]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x256x192.npy
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test_tipc/configs/keypoint/dark_hrnet_w48_256x192_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/keypoint_infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,256,192]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x256x192.npy
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test_tipc/configs/keypoint/higherhrnet_hrnet_w32_512_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:20
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@@ -56,4 +56,4 @@ epoch:20
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,512,512]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x512x512.npy
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test_tipc/configs/keypoint/hrnet_w32_256x192_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:40
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@@ -56,4 +56,4 @@ epoch:40
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,256,192]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x256x192.npy
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test_tipc/configs/keypoint/tinypose_128x96_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,128,96]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x128x96.npy
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test_tipc/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco_train_infer_python.txt
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--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/mask_rcnn/mask_rcnn_r50_1x_coco_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco_train_infer_python.txt
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/mask_rcnn/mask_rcnn_r50_vd_fpn_1x_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/mot/fairmot_dla34_30e_1088x608_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,1088]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x1088.npy
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test_tipc/configs/mot/fairmot_dla34_30e_576x320_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/pptracking/python/mot_jde_infer.py
--run_benchmark:False
--run_benchmark:False
null:null
null:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,576]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x576.npy
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test_tipc/configs/mot/fairmot_hrnetv2_w18_dlafpn_30e_576x320_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/pptracking/python/mot_jde_infer.py
--run_benchmark:False
--run_benchmark:False
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,576]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x576.npy
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test_tipc/configs/mot/jde_darknet53_30e_1088x608_train_infer_python.txt
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@@ -56,4 +56,4 @@ epoch:1
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,1088]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x1088.npy
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test_tipc/configs/mot/jde_darknet53_30e_576x320_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/pptracking/python/mot_jde_infer.py
--run_benchmark:False
--run_benchmark:False
null:null
null:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,576]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x576.npy
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test_tipc/configs/picodet/picodet_l_640_coco_lcnet_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/picodet/picodet_l_640_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/picodet/picodet_lcnet_1_5x_416_coco_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,416,416]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x416x416.npy
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test_tipc/configs/picodet/picodet_m_416_coco_lcnet_train_infer_python.txt
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@@ -50,4 +50,4 @@ inference:./deploy/python/infer.py
--run_benchmark:True
--run_benchmark:True
null:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,416,416]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x416x416.npy
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test_tipc/configs/picodet/picodet_m_416_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,416,416]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x416x416.npy
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test_tipc/configs/picodet/picodet_mobilenetv3_large_1x_416_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,416,416]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x416x416.npy
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test_tipc/configs/picodet/picodet_r18_640_coco_train_infer_python.txt
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/picodet/picodet_s_320_coco_lcnet_train_infer_python.txt
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/picodet/picodet_s_320_coco_train_infer_python.txt
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/picodet/picodet_shufflenetv2_1x_416_coco_train_infer_python.txt
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,416,416]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x416x416.npy
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test_tipc/configs/picodet/picodet_xs_320_coco_lcnet_train_infer_python.txt
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_FPGM_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_KL_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_PACT_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolo_mbv3_large_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolo_mbv3_small_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolo_r18vd_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,512,512]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x512x512.npy
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_FPGM_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_KL_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
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random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_PACT_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/ppyolo/ppyolo_r50vd_dcn_1x_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/ppyolo/ppyolo_tiny_650e_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,320,320]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x320x320.npy
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test_tipc/configs/ppyolo/ppyolov2_r101vd_dcn_365e_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/ppyolo/ppyolov2_r50vd_dcn_365e_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/ppyoloe/ppyoloe_crn_l_300e_coco_train_infer_python.txt
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--run_benchmark:False
--run_benchmark:False
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/ppyoloe/ppyoloe_crn_m_300e_coco_train_infer_python.txt
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--run_benchmark:False
--run_benchmark:False
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/ppyoloe/ppyoloe_crn_s_300e_coco_train_infer_python.txt
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--run_benchmark:False
--run_benchmark:False
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/ppyoloe/ppyoloe_crn_x_300e_coco_train_infer_python.txt
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--run_benchmark:False
--run_benchmark:False
--trt_max_shape:1600
--trt_max_shape:1600
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,640,640]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x640x640.npy
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test_tipc/configs/solov2/solov2_r101_vd_fpn_3x_coco_train_infer_python.txt
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--run_benchmark:False
--run_benchmark:False
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/solov2/solov2_r50_enhance_coco_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,512,864]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x512x864.npy
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test_tipc/configs/solov2/solov2_r50_fpn_1x_coco_train_infer_python.txt
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,800,1344]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x800x1344.npy
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test_tipc/configs/ssd/ssdlite_mobilenet_v1_300_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,300,300]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x300x300.npy
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test_tipc/configs/ttfnet/ttfnet_darknet53_1x_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,512,512]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x512x512.npy
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_FPGM_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_KL_train_infer_python.txt
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--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_PACT_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_darknet53_270e_coco_train_infer_python.txt
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
flags:null
flags:null
===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_mobilenet_v1_270e_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_r34_270e_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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test_tipc/configs/yolov3/yolov3_r50vd_dcn_270e_coco_train_infer_python.txt
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--run_benchmark:True
--run_benchmark:True
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===========================infer_benchmark_params===========================
===========================infer_benchmark_params===========================
random_infer_input:[{float32,[3,608,608]},{float32,[2]},{float32,[2]}]
numpy_infer_input:3x608x608.npy
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