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- <value>pytorch/FP32/resnet50_torchvision/resnet50_torchvision.xml</value>
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+ <model framework="caffe" full_path="/nfs/inn/proj/vdp/vdp_tests/stress_tests/master_04d6f112132f92cab563ae7655747e0359687dc9/caffe/FP32/places205_alexnet/places205_alexnet.xml" path="caffe/FP32/places205_alexnet/places205_alexnet.xml" source="share" />
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\ No newline at end of file
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- <value>intel/face-detection-0106/FP32/face-detection-0106.xml</value>
- <value>intel/person-detection-action-recognition-teacher-0002/FP32/person-detection-action-recognition-teacher-0002.xml</value>
- <value>intel/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml</value>
- <value>intel/icnet-camvid-ava-sparse-60-0001/FP32/icnet-camvid-ava-sparse-60-0001.xml</value>
- <value>intel/face-detection-adas-0001/FP32/face-detection-adas-0001.xml</value>
- <value>intel/unet-camvid-onnx-0001/FP32/unet-camvid-onnx-0001.xml</value>
- <value>intel/human-pose-estimation-0001/FP32/human-pose-estimation-0001.xml</value>
- <value>intel/faster-rcnn-resnet101-coco-sparse-60-0001/FP32/faster-rcnn-resnet101-coco-sparse-60-0001.xml</value>
- <value>intel/action-recognition-0001-encoder/FP32/action-recognition-0001-encoder.xml</value>
- <value>intel/yolo-v2-ava-sparse-35-0001/FP32/yolo-v2-ava-sparse-35-0001.xml</value>
- <value>intel/yolo-v2-ava-sparse-70-0001/FP32/yolo-v2-ava-sparse-70-0001.xml</value>
- <value>intel/person-reidentification-retail-0248/FP32/person-reidentification-retail-0248.xml</value>
- <value>intel/person-detection-raisinghand-recognition-0001/FP32/person-detection-raisinghand-recognition-0001.xml</value>
- <value>intel/person-detection-asl-0001/FP32/person-detection-asl-0001.xml</value>
- <value>intel/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.xml</value>
- <value>intel/yolo-v2-tiny-ava-0001/FP32/yolo-v2-tiny-ava-0001.xml</value>
- <value>intel/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml</value>
- <value>intel/person-detection-retail-0013/FP32/person-detection-retail-0013.xml</value>
- <value>intel/instance-segmentation-security-0050/FP32/instance-segmentation-security-0050.xml</value>
- <value>intel/single-image-super-resolution-1032/FP32/single-image-super-resolution-1032.xml</value>
- <value>intel/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.xml</value>
- <value>intel/driver-action-recognition-adas-0002-decoder/FP32/driver-action-recognition-adas-0002-decoder.xml</value>
- <value>intel/person-reidentification-retail-0249/FP32/person-reidentification-retail-0249.xml</value>
- <value>intel/text-spotting-0002-recognizer-decoder/FP32/text-spotting-0002-recognizer-decoder.xml</value>
- <value>intel/yolo-v2-ava-0001/FP32/yolo-v2-ava-0001.xml</value>
- <value>intel/person-detection-action-recognition-0005/FP32/person-detection-action-recognition-0005.xml</value>
- <value>intel/text-recognition-0012/FP32/text-recognition-0012.xml</value>
- <value>intel/face-detection-retail-0004/FP32/face-detection-retail-0004.xml</value>
- <value>intel/product-detection-0001/FP32/product-detection-0001.xml</value>
- <value>intel/yolo-v2-tiny-ava-sparse-60-0001/FP32/yolo-v2-tiny-ava-sparse-60-0001.xml</value>
- <value>intel/face-reidentification-retail-0095/FP32/face-reidentification-retail-0095.xml</value>
- <value>intel/road-segmentation-adas-0001/FP32/road-segmentation-adas-0001.xml</value>
- <value>intel/single-image-super-resolution-1033/FP32/single-image-super-resolution-1033.xml</value>
- <value>intel/face-detection-retail-0005/FP32/face-detection-retail-0005.xml</value>
- <value>intel/pedestrian-and-vehicle-detector-adas-0001/FP32/pedestrian-and-vehicle-detector-adas-0001.xml</value>
- <value>intel/handwritten-japanese-recognition-0001/FP32/handwritten-japanese-recognition-0001.xml</value>
- <value>intel/semantic-segmentation-adas-0001/FP32/semantic-segmentation-adas-0001.xml</value>
- <value>intel/pedestrian-detection-adas-0002/FP32/pedestrian-detection-adas-0002.xml</value>
- <value>intel/driver-action-recognition-adas-0002-encoder/FP32/driver-action-recognition-adas-0002-encoder.xml</value>
- <value>intel/text-detection-0003/FP32/text-detection-0003.xml</value>
- <value>intel/text-spotting-0002-recognizer-encoder/FP32/text-spotting-0002-recognizer-encoder.xml</value>
- <value>intel/handwritten-score-recognition-0003/FP32/handwritten-score-recognition-0003.xml</value>
- <value>intel/icnet-camvid-ava-0001/FP32/icnet-camvid-ava-0001.xml</value>
- <value>intel/text-image-super-resolution-0001/FP32/text-image-super-resolution-0001.xml</value>
- <value>intel/gaze-estimation-adas-0002/FP32/gaze-estimation-adas-0002.xml</value>
- <value>intel/head-pose-estimation-adas-0001/FP32/head-pose-estimation-adas-0001.xml</value>
- <value>intel/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml</value>
- <value>intel/instance-segmentation-security-1025/FP32/instance-segmentation-security-1025.xml</value>
+ <model name="mobilenet-v2-1.4-224" source="omz" />
+ <model name="resnet-101" source="omz" />
+ <model name="brain-tumor-segmentation-0001" source="omz" />
+ <model name="octave-resnet-101-0.125" source="omz" />
+ <model name="faster_rcnn_inception_resnet_v2_atrous_coco" source="omz" />
+ <model name="efficientnet-b7_auto_aug" source="omz" />
+ <model name="yolo-v2-tf" source="omz" />
+ <model name="mobilenet-v2-1.0-224" source="omz" />
+ <model name="colorization-v2-norebal" source="omz" />
+ <model name="se-inception" source="omz" />
+ <model name="efficientnet-b0" source="omz" />
+ <model name="mobilenet-v1-1.0-224-tf" source="omz" />
+ <model name="mask_rcnn_resnet101_atrous_coco" source="omz" />
+ <model name="ssd_mobilenet_v1_coco" source="omz" />
+ <model name="se-resnet-152" source="omz" />
+ <model name="octave-resnext-50-0.25" source="omz" />
+ <model name="googlenet-v3" source="omz" />
+ <model name="ssd_mobilenet_v2_coco" source="omz" />
+ <model name="alexnet" source="omz" />
+ <model name="license-plate-recognition-barrier-0007" source="omz" />
+ <model name="mobilenet-v1-0.50-224" source="omz" />
+ <model name="ssd_mobilenet_v1_fpn_coco" source="omz" />
+ <model name="vgg16" source="omz" />
+ <model name="face-recognition-resnet34-arcface" source="omz" />
+ <model name="gmcnn-places2-tf" source="omz" />
+ <model name="mobilenet-v1-1.0-224" source="omz" />
+ <model name="se-resnet-101" source="omz" />
+ <model name="face-detection-retail-0044" source="omz" />
+ <model name="face-recognition-mobilefacenet-arcface" source="omz" />
+ <model name="vehicle-license-plate-detection-barrier-0123" source="omz" />
+ <model name="densenet-161" source="omz" />
+ <model name="mask_rcnn_inception_resnet_v2_atrous_coco" source="omz" />
+ <model name="octave-resnext-101-0.25" source="omz" />
+ <model name="face-recognition-resnet50-arcface" source="omz" />
+ <model name="densenet-161-tf" source="omz" />
+ <model name="octave-resnet-200-0.125" source="omz" />
+ <model name="mtcnn-p" source="omz" />
+ <model name="se-resnext-101" source="omz" />
+ <model name="efficientnet-b5" source="omz" />
+ <model name="densenet-169-tf" source="omz" />
+ <model name="densenet-201" source="omz" />
+ <model name="resnet-50-tf" source="omz" />
+ <model name="squeezenet1.1" source="omz" />
+ <model name="squeezenet1.0" source="omz" />
+ <model name="octave-resnet-26-0.25" source="omz" />
+ <model name="googlenet-v4-tf" source="omz" />
+ <model name="ssd300" source="omz" />
+ <model name="rfcn-resnet101-coco-tf" source="omz" />
+ <model name="vgg19" source="omz" />
+ <model name="ctdet_coco_dlav0_384" source="omz" />
+ <model name="efficientnet-b0_auto_aug" source="omz" />
+ <model name="googlenet-v1" source="omz" />
+ <model name="faster_rcnn_inception_v2_coco" source="omz" />
+ <model name="mask_rcnn_inception_v2_coco" source="omz" />
+ <model name="inception-resnet-v2-tf" source="omz" />
+ <model name="deeplabv3" source="omz" />
+ <model name="yolo-v3-tf" source="omz" />
+ <model name="resnet-152" source="omz" />
+ <model name="mtcnn-o" source="omz" />
+ <model name="octave-se-resnet-50-0.125" source="omz" />
+ <model name="yolo-v1-tiny-tf" source="omz" />
+ <model name="resnet-50" source="omz" />
+ <model name="googlenet-v1-tf" source="omz" />
+ <model name="yolo-v2-tiny-tf" source="omz" />
+ <model name="ssd512" source="omz" />
+ <model name="densenet-169" source="omz" />
+ <model name="brain-tumor-segmentation-0002" source="omz" />
+ <model name="Sphereface" source="omz" />
+ <model name="googlenet-v2" source="omz" />
+ <model name="face-recognition-resnet100-arcface" source="omz" />
+ <model name="mobilenet-v1-0.25-128" source="omz" />
+ <model name="ctdet_coco_dlav0_512" source="omz" />
+ <model name="facenet-20180408-102900" source="omz" />
+ <model name="ctpn" source="omz" />
+ <model name="ssdlite_mobilenet_v2" source="omz" />
+ <model name="i3d-rgb-tf" source="omz" />
+ <model name="mobilenet-v2" source="omz" />
+ <model name="mobilenet-ssd" source="omz" />
+ <model name="se-resnext-50" source="omz" />
+ <model name="caffenet" source="omz" />
+ <model name="mtcnn-r" source="omz" />
+ <model name="faster_rcnn_resnet50_coco" source="omz" />
+ <model name="se-resnet-50" source="omz" />
+ <model name="mask_rcnn_resnet50_atrous_coco" source="omz" />
+ <model name="octave-resnet-50-0.125" source="omz" />
+ <model name="densenet-121-tf" source="omz" />
+ <model name="mobilenet-v1-0.50-160" source="omz" />
+ <model name="densenet-121" source="omz" />
+ <model name="faster_rcnn_resnet101_coco" source="omz" />
+ <model name="octave-densenet-121-0.125" source="omz" />
+ <model name="colorization-v2" source="omz" />
+ <model name="densenet-121-caffe2" source="omz" />
+ <model name="efficientnet-b0-pytorch" source="omz" />
+ <model name="efficientnet-b5-pytorch" source="omz" />
+ <model name="efficientnet-b7-pytorch" source="omz" />
+ <model name="googlenet-v3-pytorch" source="omz" />
+ <model name="human-pose-estimation-3d-0001" source="omz" />
+ <model name="midasnet" source="omz" />
+ <model name="mobilenet-v2-pytorch" source="omz" />
+ <model name="resnet-18-pytorch" source="omz" />
+ <model name="resnet-50-caffe2" source="omz" />
+ <model name="resnet-50-pytorch" source="omz" />
+ <model name="single-human-pose-estimation-0001" source="omz" />
+ <model name="squeezenet1.1-caffe2" source="omz" />
+ <model name="vgg19-caffe2" source="omz" />
+ <model name="facial-landmarks-35-adas-0002" source="omz" />
+ <model name="vehicle-attributes-recognition-barrier-0039" source="omz" />
+ <model name="person-detection-action-recognition-0006" source="omz" />
+ <model name="asl-recognition-0004" source="omz" />
+ <model name="yolo-v2-tiny-ava-sparse-30-0001" source="omz" />
+ <model name="text-detection-0004" source="omz" />
+ <model name="person-vehicle-bike-detection-crossroad-1016" source="omz" />
+ <model name="text-spotting-0002-detector" source="omz" />
+ <model name="age-gender-recognition-retail-0013" source="omz" />
+ <model name="vehicle-detection-adas-0002" source="omz" />
+ <model name="image-retrieval-0001" source="omz" />
+ <model name="person-detection-retail-0002" source="omz" />
+ <model name="person-attributes-recognition-crossroad-0230" source="omz" />
+ <model name="face-detection-0100" source="omz" />
+ <model name="face-detection-0102" source="omz" />
+ <model name="person-reidentification-retail-0300" source="omz" />
+ <model name="instance-segmentation-security-0010" source="omz" />
+ <model name="instance-segmentation-security-0083" source="omz" />
+ <model name="face-detection-0105" source="omz" />
+ <model name="face-detection-0104" source="omz" />
+ <model name="icnet-camvid-ava-sparse-30-0001" source="omz" />
+ <model name="action-recognition-0001-decoder" source="omz" />
+ <model name="face-detection-0106" source="omz" />
+ <model name="person-detection-action-recognition-teacher-0002" source="omz" />
+ <model name="person-vehicle-bike-detection-crossroad-0078" source="omz" />
+ <model name="icnet-camvid-ava-sparse-60-0001" source="omz" />
+ <model name="face-detection-adas-0001" source="omz" />
+ <model name="unet-camvid-onnx-0001" source="omz" />
+ <model name="human-pose-estimation-0001" source="omz" />
+ <model name="faster-rcnn-resnet101-coco-sparse-60-0001" source="omz" />
+ <model name="action-recognition-0001-encoder" source="omz" />
+ <model name="yolo-v2-ava-sparse-35-0001" source="omz" />
+ <model name="yolo-v2-ava-sparse-70-0001" source="omz" />
+ <model name="person-reidentification-retail-0248" source="omz" />
+ <model name="person-detection-raisinghand-recognition-0001" source="omz" />
+ <model name="person-detection-asl-0001" source="omz" />
+ <model name="emotions-recognition-retail-0003" source="omz" />
+ <model name="yolo-v2-tiny-ava-0001" source="omz" />
+ <model name="license-plate-recognition-barrier-0001" source="omz" />
+ <model name="person-detection-retail-0013" source="omz" />
+ <model name="instance-segmentation-security-0050" source="omz" />
+ <model name="single-image-super-resolution-1032" source="omz" />
+ <model name="landmarks-regression-retail-0009" source="omz" />
+ <model name="driver-action-recognition-adas-0002-decoder" source="omz" />
+ <model name="person-reidentification-retail-0249" source="omz" />
+ <model name="text-spotting-0002-recognizer-decoder" source="omz" />
+ <model name="yolo-v2-ava-0001" source="omz" />
+ <model name="person-detection-action-recognition-0005" source="omz" />
+ <model name="text-recognition-0012" source="omz" />
+ <model name="face-detection-retail-0004" source="omz" />
+ <model name="product-detection-0001" source="omz" />
+ <model name="yolo-v2-tiny-ava-sparse-60-0001" source="omz" />
+ <model name="face-reidentification-retail-0095" source="omz" />
+ <model name="road-segmentation-adas-0001" source="omz" />
+ <model name="single-image-super-resolution-1033" source="omz" />
+ <model name="face-detection-retail-0005" source="omz" />
+ <model name="pedestrian-and-vehicle-detector-adas-0001" source="omz" />
+ <model name="handwritten-japanese-recognition-0001" source="omz" />
+ <model name="semantic-segmentation-adas-0001" source="omz" />
+ <model name="pedestrian-detection-adas-0002" source="omz" />
+ <model name="driver-action-recognition-adas-0002-encoder" source="omz" />
+ <model name="text-detection-0003" source="omz" />
+ <model name="text-spotting-0002-recognizer-encoder" source="omz" />
+ <model name="handwritten-score-recognition-0003" source="omz" />
+ <model name="icnet-camvid-ava-0001" source="omz" />
+ <model name="text-image-super-resolution-0001" source="omz" />
+ <model name="gaze-estimation-adas-0002" source="omz" />
+ <model name="head-pose-estimation-adas-0001" source="omz" />
+ <model name="vehicle-license-plate-detection-barrier-0106" source="omz" />
+ <model name="instance-segmentation-security-1025" source="omz" />
</models>
</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
<devices>
<value>CPU</value>
<value>GPU</value>
</devices>
<models>
- <value>public/vgg16/FP32/vgg16.xml</value>
- <value>public/mtcnn/mtcnn-r/FP32/mtcnn-r.xml</value>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
- <value>public/ssd300/FP32/ssd300.xml</value>
+ <model name="vgg16" source="omz" />
+ <model name="mtcnn-r" source="omz" />
+ <model name="mobilenet-ssd" source="omz" />
+ <model name="ssd300" source="omz" />
</models>
-</attributes>
+</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
<devices>
<value>CPU</value>
<value>GPU</value>
</devices>
<models>
- <value>public/mobilenet-v2-1.4-224/FP32/mobilenet-v2-1.4-224.xml</value>
- <value>public/resnet-101/FP32/resnet-101.xml</value>
- <value>public/brain-tumor-segmentation-0001/FP32/brain-tumor-segmentation-0001.xml</value>
- <value>public/octave-resnet-101-0.125/FP32/octave-resnet-101-0.125.xml</value>
- <value>public/faster_rcnn_inception_resnet_v2_atrous_coco/FP32/faster_rcnn_inception_resnet_v2_atrous_coco.xml</value>
- <value>public/efficientnet-b7_auto_aug/FP32/efficientnet-b7_auto_aug.xml</value>
- <value>public/yolo-v2-tf/FP32/yolo-v2-tf.xml</value>
- <value>public/mobilenet-v2-1.0-224/FP32/mobilenet-v2-1.0-224.xml</value>
- <value>public/colorization-v2-norebal/FP32/colorization-v2-norebal.xml</value>
- <value>public/se-inception/FP32/se-inception.xml</value>
- <value>public/efficientnet-b0/FP32/efficientnet-b0.xml</value>
- <value>public/mobilenet-v1-1.0-224-tf/FP32/mobilenet-v1-1.0-224-tf.xml</value>
- <value>public/mask_rcnn_resnet101_atrous_coco/FP32/mask_rcnn_resnet101_atrous_coco.xml</value>
- <value>public/ssd_mobilenet_v1_coco/FP32/ssd_mobilenet_v1_coco.xml</value>
- <value>public/se-resnet-152/FP32/se-resnet-152.xml</value>
- <value>public/octave-resnext-50-0.25/FP32/octave-resnext-50-0.25.xml</value>
- <value>public/googlenet-v3/FP32/googlenet-v3.xml</value>
- <value>public/ssd_mobilenet_v2_coco/FP32/ssd_mobilenet_v2_coco.xml</value>
- <value>public/alexnet/FP32/alexnet.xml</value>
- <value>public/license-plate-recognition-barrier-0007/FP32/license-plate-recognition-barrier-0007.xml</value>
- <value>public/mobilenet-v1-0.50-224/FP32/mobilenet-v1-0.50-224.xml</value>
- <value>public/ssd_mobilenet_v1_fpn_coco/FP32/ssd_mobilenet_v1_fpn_coco.xml</value>
- <value>public/vgg16/FP32/vgg16.xml</value>
- <value>public/face-recognition-resnet34-arcface/FP32/face-recognition-resnet34-arcface.xml</value>
- <value>public/gmcnn-places2-tf/FP32/gmcnn-places2-tf.xml</value>
- <value>public/mobilenet-v1-1.0-224/FP32/mobilenet-v1-1.0-224.xml</value>
- <value>public/se-resnet-101/FP32/se-resnet-101.xml</value>
- <value>public/face-detection-retail-0044/FP32/face-detection-retail-0044.xml</value>
- <value>public/face-recognition-mobilefacenet-arcface/FP32/face-recognition-mobilefacenet-arcface.xml</value>
- <value>public/vehicle-license-plate-detection-barrier-0123/FP32/vehicle-license-plate-detection-barrier-0123.xml</value>
- <value>public/densenet-161/FP32/densenet-161.xml</value>
- <value>public/mask_rcnn_inception_resnet_v2_atrous_coco/FP32/mask_rcnn_inception_resnet_v2_atrous_coco.xml</value>
- <value>public/octave-resnext-101-0.25/FP32/octave-resnext-101-0.25.xml</value>
- <value>public/face-recognition-resnet50-arcface/FP32/face-recognition-resnet50-arcface.xml</value>
- <value>public/densenet-161-tf/FP32/densenet-161-tf.xml</value>
- <value>public/octave-resnet-200-0.125/FP32/octave-resnet-200-0.125.xml</value>
- <value>public/mtcnn/mtcnn-p/FP32/mtcnn-p.xml</value>
- <value>public/se-resnext-101/FP32/se-resnext-101.xml</value>
- <value>public/efficientnet-b5/FP32/efficientnet-b5.xml</value>
- <value>public/densenet-169-tf/FP32/densenet-169-tf.xml</value>
- <value>public/densenet-201/FP32/densenet-201.xml</value>
- <value>public/resnet-50-tf/FP32/resnet-50-tf.xml</value>
- <value>public/squeezenet1.1/FP32/squeezenet1.1.xml</value>
- <value>public/squeezenet1.0/FP32/squeezenet1.0.xml</value>
- <value>public/octave-resnet-26-0.25/FP32/octave-resnet-26-0.25.xml</value>
- <value>public/googlenet-v4-tf/FP32/googlenet-v4-tf.xml</value>
- <value>public/ssd300/FP32/ssd300.xml</value>
- <value>public/rfcn-resnet101-coco-tf/FP32/rfcn-resnet101-coco-tf.xml</value>
- <value>public/vgg19/FP32/vgg19.xml</value>
- <value>public/ctdet_coco_dlav0_384/FP32/ctdet_coco_dlav0_384.xml</value>
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+ <model name="pedestrian-and-vehicle-detector-adas-0001" source="omz" />
+ <model name="handwritten-japanese-recognition-0001" source="omz" />
+ <model name="semantic-segmentation-adas-0001" source="omz" />
+ <model name="pedestrian-detection-adas-0002" source="omz" />
+ <model name="driver-action-recognition-adas-0002-encoder" source="omz" />
+ <model name="text-detection-0003" source="omz" />
+ <model name="text-spotting-0002-recognizer-encoder" source="omz" />
+ <model name="handwritten-score-recognition-0003" source="omz" />
+ <model name="icnet-camvid-ava-0001" source="omz" />
+ <model name="text-image-super-resolution-0001" source="omz" />
+ <model name="gaze-estimation-adas-0002" source="omz" />
+ <model name="head-pose-estimation-adas-0001" source="omz" />
+ <model name="vehicle-license-plate-detection-barrier-0106" source="omz" />
+ <model name="instance-segmentation-security-1025" source="omz" />
</models>
</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
-<!--[ WARNING ] Use of attribute "processes" from config isn't implemented yet. It will be ignored.-->
+
<processes>
<value>1</value>
</processes>
<value>GPU</value>
</devices>
<models>
- <value>public/alexnet/FP32/alexnet.xml</value>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
- <value>public/mtcnn/mtcnn-r/FP32/mtcnn-r.xml</value>
+ <model name="alexnet" source="omz" />
+ <model name="mobilenet-ssd" source="omz" />
+ <model name="mtcnn-r" source="omz" />
</models>
-</attributes>
+</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
-<!--[ WARNING ] Use of attribute "processes" from config isn't implemented yet. It will be ignored.-->
+
<processes>
<value>1</value>
</processes>
<value>GPU</value>
</devices>
<models>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
+ <model name="mobilenet-ssd" source="omz" />
</models>
-</attributes>
+</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
-<!--[ WARNING ] Use of attribute "processes" from config isn't implemented yet. It will be ignored.-->
+
<processes>
<value>1</value>
</processes>
<value>GPU</value>
</devices>
<models>
- <value>public/alexnet/FP32/alexnet.xml</value>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
- <value>public/mtcnn/mtcnn-r/FP32/mtcnn-r.xml</value>
+ <model name="alexnet" source="omz" />
+ <model name="mobilenet-ssd" source="omz" />
+ <model name="mtcnn-r" source="omz" />
</models>
-</attributes>
+</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
<processes>
<value>1</value>
<value>GPU</value>
</devices>
<models>
- <value>public/alexnet/FP32/alexnet.xml</value>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
- <value>public/mtcnn/mtcnn-r/FP32/mtcnn-r.xml</value>
+ <model name="alexnet" source="omz" />
+ <model name="mobilenet-ssd" source="omz" />
+ <model name="mtcnn-r" source="omz" />
</models>
-</attributes>
+</attributes>
\ No newline at end of file
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>${STRESS_IRS_PATH}</value>
- </irs_path>
-</attributes>
-<?xml version="1.0"?>
<attributes>
<processes>
<value>1</value>
- <!--<value>2</value>-->
+
</processes>
<threads>
<value>1</value>
<value>GPU</value>
</devices>
<models>
- <value>public/alexnet/FP32/alexnet.xml</value>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
- <!--<value>public/mtcnn/mtcnn-r/FP32/mtcnn-r.xml</value>-->
+ <model name="alexnet" source="omz" />
+ <model name="mobilenet-ssd" source="omz" />
+
</models>
-</attributes>
+</attributes>
\ No newline at end of file
_test_config.reset(test_config);
}
-const pugi::xml_document & Environment::getEnvConfig() {
- return _env_config;
-}
-
-void Environment::setEnvConfig(const pugi::xml_document &env_config) {
- _env_config.reset(env_config);
-}
-
const bool & Environment::getCollectResultsOnly() {
return _collect_results_only;
}
std::vector<TestCase> generateTestsParams(std::initializer_list<std::string> fields) {
std::vector<TestCase> tests_cases;
const pugi::xml_document & test_config = Environment::Instance().getTestConfig();
- std::string models_path = Environment::Instance().getEnvConfig()
- .child("attributes").child("irs_path").child("value").text().as_string();
- models_path = expand_env_vars(models_path);
- std::vector<int> processes;
- std::vector<int> threads;
- std::vector<int> iterations;
- std::vector<std::string> devices;
- std::vector<std::string> models;
+ std::vector<int> processes, threads, iterations;
+ std::vector<std::string> devices, models, models_names;
pugi::xml_node values;
for (auto field = fields.begin(); field != fields.end(); field++) {
devices.push_back(val.text().as_string());
} else if (*field == "models") {
values = test_config.child("attributes").child("models");
- for (pugi::xml_node val = values.first_child(); val; val = val.next_sibling())
- models.push_back(val.text().as_string());
+ for (pugi::xml_node val = values.first_child(); val; val = val.next_sibling()) {
+ std::string full_path = val.attribute("full_path").as_string();
+ std::string path = val.attribute("path").as_string();
+ if (full_path.empty() || path.empty())
+ throw std::logic_error("One of the 'model' records from test config doesn't contain 'full_path' or 'path' attributes");
+ else {
+ models.push_back(full_path);
+ models_names.push_back(path);
+ }
+ }
}
}
iterations = !iterations.empty() ? iterations: std::vector<int>{1};
devices = !devices.empty() ? devices : std::vector<std::string>{"NULL"};
models = !models.empty() ? models : std::vector<std::string>{"NULL"};
+ models_names = !models_names.empty() ? models_names : std::vector<std::string>{"NULL"};
for (auto &numprocesses : processes)
for (auto &numthreads : threads)
for (auto &numiters : iterations)
for (auto &device : devices)
- for (auto &model : models)
- tests_cases.push_back(TestCase(numprocesses, numthreads, numiters, device, OS_PATH_JOIN({models_path, model}), model));
+ for (int i = 0; i < models.size(); i++)
+ tests_cases.push_back(TestCase(numprocesses, numthreads, numiters, device, models[i], models_names[i]));
return tests_cases;
}
class Environment {
private:
pugi::xml_document _test_config;
- pugi::xml_document _env_config;
bool _collect_results_only = false;
Environment() = default;
const pugi::xml_document & getTestConfig();
void setTestConfig(const pugi::xml_document &test_config);
- const pugi::xml_document & getEnvConfig();
- void setEnvConfig(const pugi::xml_document &env_config);
const bool & getCollectResultsOnly();
void setCollectResultsOnly(const bool &collect_results_only);
};
# Copy local configs to BIN_FOLDER
configure_file(local_configs/test_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/memcheck_tests/test_config.xml COPYONLY)
-configure_file(local_configs/env_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/memcheck_tests/env_config.xml COPYONLY)
configure_file(local_configs/references_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/memcheck_tests/references_config.xml COPYONLY)
/// test_conf is an optional parameter
DEFINE_string(test_conf, OS_PATH_JOIN({"stress_tests_configs", "memcheck_tests", "test_config.xml"}), test_conf_message);
+// TODO: env_conf key is deprecated
/// @brief message for env_config argument
static const char env_conf_message[] = "Optional. Path to an env config with paths to models etc.";
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>/nfs/inn/proj/vdp/vdp_tests/stress_tests/open_model_zoo/efd238d02035f8a5417b7b1e25cd4c997d44351f/IRs</value>
- </irs_path>
-</attributes>
<value>GPU</value>
</devices>
<models>
- <value>public/vgg16/FP32/vgg16.xml</value>
- <value>public/mtcnn-r/FP32/mtcnn-r.xml</value>
- <value>public/mobilenet-ssd/FP32/mobilenet-ssd.xml</value>
- <value>public/ssd300/FP32/ssd300.xml</value>
+ <model name="vgg16" source="omz"/>
+ <model name="mtcnn-r" source="omz"/>
+ <model name="mobilenet-ssd" source="omz"/>
+ <model name="ssd300" source="omz"/>
</models>
</attributes>
log_err("Exception while reading test config \"" << FLAGS_test_conf << "\": " << result.description());
return false;
}
- result = config.load_file(FLAGS_env_conf.c_str());
- if (!result) {
- log_err("Exception while reading env config \"" << FLAGS_env_conf << "\": " << result.description());
- return false;
- }
result = config.load_file(FLAGS_refs_conf.c_str());
if (!result) {
log_err("Exception while reading references config \"" << FLAGS_refs_conf << "\": " << result.description());
pugi::xml_document config;
config.load_file(FLAGS_test_conf.c_str());
Environment::Instance().setTestConfig(config);
- config.load_file(FLAGS_env_conf.c_str());
- Environment::Instance().setEnvConfig(config);
config.load_file(FLAGS_refs_conf.c_str());
MemCheckEnvironment::Instance().setRefsConfig(config);
::testing::InitGoogleTest(&argc, argv);
class TestReferences {
private:
- std::vector<std::string> model_path_v, test_name_v, device_v;
+ std::vector<std::string> model_name_v, test_name_v, device_v;
std::vector<long> vmsize_v, vmpeak_v, vmrss_v, vmhwm_v;
public:
std::array<long, MeasureValueMax> references;
std::fill(references.begin(), references.end(), -1);
// Parse RefsConfig from MemCheckEnvironment
- std::string models_path = Environment::Instance().getEnvConfig()
- .child("attributes").child("irs_path").child("value").text().as_string();
- models_path = expand_env_vars(models_path);
-
const pugi::xml_document &refs_config = MemCheckEnvironment::Instance().getRefsConfig();
auto values = refs_config.child("attributes").child("models");
for (pugi::xml_node node = values.first_child(); node; node = node.next_sibling()) {
for (pugi::xml_attribute_iterator ait = node.attributes_begin(); ait != node.attributes_end(); ait++) {
if (strncmp(ait->name(), "path", strlen(ait->name())) == 0) {
- model_path_v.push_back(OS_PATH_JOIN({models_path, ait->value()}));
+ model_name_v.push_back(ait->value());
} else if (strncmp(ait->name(), "test", strlen(ait->name())) == 0) {
test_name_v.push_back(ait->value());
} else if (strncmp(ait->name(), "device", strlen(ait->name())) == 0) {
void collect_vm_values_for_test(std::string test_name, TestCase test_params) {
for (int i = 0; i < test_name_v.size(); i++)
if (test_name_v[i] == test_name)
- if (model_path_v[i] == test_params.model)
+ if (model_name_v[i] == test_params.model_name)
if (device_v[i] == test_params.device) {
references[VMSIZE] = vmsize_v[i];
references[VMPEAK] = vmpeak_v[i];
# Copy local configs to BIN_FOLDER
configure_file(local_configs/test_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/memleaks_tests/test_config.xml COPYONLY)
-configure_file(local_configs/env_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/memleaks_tests/env_config.xml COPYONLY)
/// test_conf is an optional parameter
DEFINE_string(test_conf, OS_PATH_JOIN({"stress_tests_configs", "memleaks_tests", "test_config.xml"}), test_conf_message);
+// TODO: env_conf key is deprecated
/// @brief message for env_config argument
static const char env_conf_message[] = "Optional. Path to an env config with paths to models etc.";
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>/nfs/inn/proj/vdp/vdp_tests/stress_tests/master_04d6f112132f92cab563ae7655747e0359687dc9/</value>
- </irs_path>
-</attributes>
<!-- <value>GPU</value>-->
</devices>
<models>
- <value>caffe/FP32/alexnet/alexnet.xml</value>
+ <model name="mobilenet-ssd" source="omz"/>
</models>
</attributes>
log_err("Exception while reading test config \"" << FLAGS_test_conf << "\": " << result.description());
return false;
}
- result = config.load_file(FLAGS_env_conf.c_str());
- if (!result) {
- log_err("Exception while reading env config \"" << FLAGS_env_conf << "\": " << result.description());
- return false;
- }
return true;
}
pugi::xml_document config;
config.load_file(FLAGS_test_conf.c_str());
Environment::Instance().setTestConfig(config);
- config.load_file(FLAGS_env_conf.c_str());
- Environment::Instance().setEnvConfig(config);
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
\ No newline at end of file
import shutil
import subprocess
import sys
+import json
from inspect import getsourcefile
from pathlib import Path
from xml.etree import ElementTree as ET
help='Skip errors caused by OMZ while downloading and converting.')
args = parser.parse_args()
+ # constants
+ PRECISION = "FP32"
+
# parse models from test config
- tree = ET.parse(str(args.test_conf))
- root = tree.getroot()
+ test_conf_obj = ET.parse(str(args.test_conf))
+ test_conf_root = test_conf_obj.getroot()
models_from_cfg = []
- for attributes in root:
- if attributes.tag == "models":
- models = [child.text for child in attributes]
- models_from_cfg = [Path(model).stem for model in models]
- break
+ for model_rec in test_conf_root.find("models"):
+ if "source" in model_rec.attrib and "name" in model_rec.attrib:
+ if model_rec.attrib["source"] == "omz":
+ models_from_cfg.append(model_rec.attrib["name"])
+ else:
+ log.warning("Record from test config '{}' doesn't contain attributes 'source' or 'name'"
+ .format(args.test_conf.resolve()))
# prepare Open Model Zoo
if args.omz_repo:
' https://github.com/opencv/open_model_zoo {omz_path}'.format(omz_path=omz_path)
run_in_subprocess(cmd)
- # prepare models
+ # prepare models list
downloader_path = omz_path / "tools" / "downloader" / "downloader.py"
models_list_path = args.omz_models_out_dir / "models_list.txt"
- cmd = '{downloader_path} --list {models_list_path}' \
- ' --num_attempts {num_attempts}' \
- ' --output_dir {models_dir}' \
- ' --cache_dir {cache_dir}' \
- ' --jobs {jobs_num}'.format(downloader_path=downloader_path, models_list_path=models_list_path,
- num_attempts=OMZ_NUM_ATTEMPTS,
- models_dir=args.omz_models_out_dir,
- cache_dir=args.omz_cache_dir,
- jobs_num=DOWNLOADER_JOBS_NUM)
- models_available = subprocess.check_output(cmd + " --print_all", shell=True, universal_newlines=True).split("\n")
+
+ cmd = '{downloader_path} --print_all'.format(downloader_path=downloader_path)
+ models_available = subprocess.check_output(cmd, shell=True, universal_newlines=True).split("\n")
models_to_run = set(models_from_cfg).intersection(models_available)
os.makedirs(str(args.omz_models_out_dir), exist_ok=True)
log.warning("List of models defined in config but not available in OMZ: {}"
.format(",".join(set(models_from_cfg) - models_to_run)))
+ # update test config with Open Model Zoo info
+ info_dumper_path = omz_path / "tools" / "downloader" / "info_dumper.py"
+ cmd = "{executable} {info_dumper_path} --list {models_list_path}"\
+ .format(executable=sys.executable, info_dumper_path=info_dumper_path,
+ models_list_path=models_list_path)
+ out = subprocess.check_output(cmd, shell=True, universal_newlines=True)
+ models_info = json.loads(out)
+
+ fields_to_add = ["framework", "subdirectory"]
+ models_root = test_conf_root.find("models")
+ for model_rec in list(models_root): # convert iterator to list to prevent incorrect removing of records
+ if model_rec.attrib.get("source") == "omz" and "name" in model_rec.attrib:
+ if model_rec.attrib["name"] not in models_to_run:
+ # remove models from test config which aren't available in OMZ
+ models_root.remove(model_rec)
+ else:
+ # Open Model Zoo ensures name uniqueness of every model
+ models_info_rec = next(iter([rec for rec in models_info if rec["name"] == model_rec.attrib["name"]]))
+ info_to_add = {key: models_info_rec[key] for key in fields_to_add}
+ model_rec.attrib.update(info_to_add)
+ model_rec.attrib["precision"] = PRECISION
+ model_rec.attrib["path"] = str(
+ Path(model_rec.attrib["subdirectory"]) / PRECISION / (model_rec.attrib["name"] + ".xml"))
+ model_rec.attrib["full_path"] = str(
+ args.omz_irs_out_dir / model_rec.attrib["subdirectory"] / PRECISION / (model_rec.attrib["name"] + ".xml"))
+ test_conf_obj.write(args.test_conf)
+
+ # prepare models
+ cmd = '{downloader_path} --list {models_list_path}' \
+ ' --num_attempts {num_attempts}' \
+ ' --output_dir {models_dir}' \
+ ' --cache_dir {cache_dir}' \
+ ' --jobs {jobs_num}'.format(downloader_path=downloader_path, models_list_path=models_list_path,
+ num_attempts=OMZ_NUM_ATTEMPTS,
+ models_dir=args.omz_models_out_dir,
+ cache_dir=args.omz_cache_dir,
+ jobs_num=DOWNLOADER_JOBS_NUM)
+
run_in_subprocess(cmd, check_call=not args.skip_omz_errors)
+ # Open Model Zoo doesn't copy downloaded IRs to converter.py output folder where IRs should be stored.
+ # Do it manually to have only one folder with IRs
+ for ir_src_path in args.omz_models_out_dir.rglob("*.xml"):
+ ir_dst_path = args.omz_irs_out_dir / os.path.relpath(ir_src_path, args.omz_models_out_dir)
+ shutil.copytree(ir_src_path.parent, ir_dst_path.parent)
+
# prepare virtual environment and install requirements
python_executable = sys.executable
if not args.no_venv:
# NOTE: remove --precision if both precisions (FP32 & FP16) required
cmd = '{executable} {converter_path} --list {models_list_path}' \
' -p {executable}' \
- ' --precision=FP32' \
+ ' --precision={PRECISION}' \
' --output_dir {irs_dir}' \
' --download_dir {models_dir}' \
- ' --mo {mo_tool} --jobs {workers_num}'.format(executable=python_executable, converter_path=converter_path,
+ ' --mo {mo_tool} --jobs {workers_num}'.format(executable=python_executable, PRECISION=PRECISION,
+ converter_path=converter_path,
models_list_path=models_list_path, irs_dir=args.omz_irs_out_dir,
models_dir=args.omz_models_out_dir, mo_tool=args.mo_tool,
workers_num=multiprocessing.cpu_count())
from glob import glob
import xml.etree.ElementTree as ET
import hashlib
+from pathlib import Path
import yaml
from pymongo import MongoClient
}
+def info_from_test_config(test_conf):
+ """ Extract models information for memcheck record from test config
+ """
+ test_conf_obj = ET.parse(test_conf)
+ test_conf_root = test_conf_obj.getroot()
+ records = {}
+ for model_rec in test_conf_root.find("models"):
+ model = model_rec.attrib["path"]
+ records[Path(model)] = {
+ "framework": model_rec.attrib.get("framework"),
+ "source": model_rec.attrib.get("source"),
+ }
+ return records
+
+
def parse_memcheck_log(log_path):
""" Parse memcheck log
"""
import os
import subprocess
import sys
+from pathlib import Path
from memcheck_upload import create_memcheck_records, \
upload_memcheck_records, \
create_memcheck_report, \
- metadata_from_manifest
+ metadata_from_manifest, \
+ info_from_test_config
from compare_memcheck_2_runs import compare_memcheck_2_runs, \
get_memcheck_records, get_db_memcheck_records
if len(records) != len(logs):
logging.warning('Skipped %d logs of %d', len(logs) - len(records), len(logs))
+ # extend memcheck records with info from test config
+ test_conf_parser = argparse.ArgumentParser()
+ test_conf_parser.add_argument('--test_conf')
+ test_conf = test_conf_parser.parse_known_args(binary_args)[0].test_conf
+ if test_conf:
+ info = info_from_test_config(test_conf)
+ for record in records:
+ record.update(info.get(Path(record["model"]), {}))
+
# upload
if args.upload:
if records:
# Copy local configs to BIN_FOLDER
configure_file(local_configs/test_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/unittests/test_config.xml COPYONLY)
-configure_file(local_configs/env_config.xml ${OUTPUT_ROOT}/${BIN_FOLDER}/${CMAKE_BUILD_TYPE}/stress_tests_configs/unittests/env_config.xml COPYONLY)
/// test_conf is an optional parameter
DEFINE_string(test_conf, OS_PATH_JOIN({"stress_tests_configs", "unittests", "test_config.xml"}), test_conf_message);
+// TODO: env_conf key is deprecated
/// @brief message for env_config argument
static const char env_conf_message[] = "Optional. Path to an env config with paths to models etc.";
+++ /dev/null
-<?xml version="1.0"?>
-<attributes>
- <irs_path>
- <value>/nfs/inn/proj/vdp/vdp_tests/stress_tests/master_04d6f112132f92cab563ae7655747e0359687dc9/</value>
- </irs_path>
-</attributes>
<value>GPU</value>
</devices>
<models>
- <value>caffe/FP32/alexnet/alexnet.xml</value>
+ <model name="alexnet" source="omz"/>
</models>
</attributes>
log_err("Exception while reading test config \"" << FLAGS_test_conf << "\": " << result.description());
return false;
}
- result = config.load_file(FLAGS_env_conf.c_str());
- if (!result) {
- log_err("Exception while reading env config \"" << FLAGS_env_conf << "\": " << result.description());
- return false;
- }
return true;
}
pugi::xml_document config;
config.load_file(FLAGS_test_conf.c_str());
Environment::Instance().setTestConfig(config);
- config.load_file(FLAGS_env_conf.c_str());
- Environment::Instance().setEnvConfig(config);
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
\ No newline at end of file