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* Enabling fasterrcnn variant and vehicle detector * changes for 2021_2 branch * yolov3_pytorch commit * fixed braces in basic_backend.cc * ci information added * faster rcnn variant and vehicle detector changes were made in 2021.1 and not in 2021.2 * some changes to support unit tests * disable some tests which are failing * fix myriad tests for vehicle detector * Did some cleanup *cleaned up comments *Disabled Add_Broadcast_0x1 and Add_Broadcast_1x0 tests on MYRIAD_FP16 backend due to a bug *cleaned up capability_2021_2.cc file *Removed extra conditions which were added for some validation in backend_utils Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * yolov3 pytorch workaround to ensure that the output names are matched * gemmoptest fixed on myriad * Fixed MYRIADX CPP Test Failures *Expand,GatherND,Range,Round op's are only supported in model *where op with float input data types are not supported and fixed *Scatter and ScatterElements op's with negative axis are fixed *Reshape op with 0 dim value are not supported and fixed *Disabled InstanceNorm_2 test on MYRIADX Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * make changes to yolov3 pytorch * Fixed python unit tests *Fixed failing python tests on vpu, GPU and CPU Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * Fixes POW op failures on GPU_FP16 Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * Clean up capability_2021_2.cc Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * Updated docx for MultiThreading option *Added extra info on setting the num_of_threads option using the API and it's actual usage Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * fixed slice and removed extra prints * Disabled failing python tests Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * Minor changes added in capabilty_2021_2 Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * made changes to slice to avoid failures * Disabling FP16 support for GPU_FP32 ->Inferencing an FP16 model on GPU_FP32 leads to accuracy mismatches. so, we would rather use GPU_FP16 to infer an FP16 model on GPU Device Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * Updated docx for Inferencing a FP16 Model Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com> * fix for mask rcnn * Script for installing openvino from source * Updated with openvino 2021.2 online installation * code comment fixes fixed accuracy mismatch for div * Update OpenvinoEP-ExecutionProvider.md updated for 2021.2 branch * Update README.md updated dockerfile documentation * Update BUILD.md build.md update documentation * permissiong change of install_openvino.sh * made changes to align with microsoft onnxruntime changes * Updated with ov 2021.2.200 Co-authored-by: suryasidd <surya.siddharth.pemmaraju@intel.com> Co-authored-by: sfatimar <sahar.fatima@intel/com> Co-authored-by: MaajidKhan <n.maajidkhan@gmail.com> Co-authored-by: mohdansx <mohdx.ansari@intel.com> |
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| .. | ||
| manylinux2014_build_scripts | ||
| scripts | ||
| cuda_manylinux2010.repo | ||
| cuda_manylinux2014.repo | ||
| Dockerfile.arm_yocto | ||
| Dockerfile.centos | ||
| Dockerfile.centos_gpu | ||
| Dockerfile.fedora_gpu | ||
| Dockerfile.manylinux2014_cpu | ||
| Dockerfile.manylinux2014_cuda10_2 | ||
| Dockerfile.manylinux2014_cuda11 | ||
| Dockerfile.manylinux2014_gpu | ||
| Dockerfile.ubuntu | ||
| Dockerfile.ubuntu_for_android | ||
| Dockerfile.ubuntu_for_arm | ||
| Dockerfile.ubuntu_gpu | ||
| Dockerfile.ubuntu_gpu_cuda9 | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_server | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile.ubuntu_x86 | ||