How can I change the UINT8 to INT32 in tensorflow ssd inception v2 model.?
Is there any workaround for this model.?
Here is the model : http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_2018_01_28.tar.gz:
I used tf2onnx command to convert saved model to onnx. It worked .
Then I got the below error when I run this command ./trtexec --onxx=inception.onnx
Error repeated for both custom trained and also standard ssd inception v2 model
WARNING: ONNX model has a newer ir_version (0.0.5) than this parser was built against (0.0.3).
Unsupported ONNX data type: UINT8 (2)
ERROR: ModelImporter.cpp:54 In function importInput:
[8] Assertion failed: convert_dtype(onnx_tensor_type.elem_type(), &trt_dtype)
Any suggestions for this??
I am using jetson nano with below specifications.
sudo apt-cache show nvidia-jetpack
Package: nvidia-jetpack
Version: 4.3-b134
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-container-csv-cuda (= 10.0.326-1), libopencv-python (= 4.1.1-2-gd5a58aa75), libvisionworks-sfm-dev (= 0.90.4), libvisionworks-dev (= 1.6.0.500n), libvisionworks-samples (= 1.6.0.500n), libnvparsers6 (= 6.0.1-1+cuda10.0), libcudnn7-doc (= 7.6.3.28-1+cuda10.0), libcudnn7-dev (= 7.6.3.28-1+cuda10.0), libnvinfer-samples (= 6.0.1-1+cuda10.0), libnvinfer-bin (= 6.0.1-1+cuda10.0), nvidia-container-csv-cudnn (= 7.6.3.28-1+cuda10.0), libvisionworks-tracking-dev (= 0.88.2), vpi-samples (= 0.1.0), tensorrt (= 6.0.1.10-1+cuda10.0), libopencv (= 4.1.1-2-gd5a58aa75), libnvinfer-doc (= 6.0.1-1+cuda10.0), libnvparsers-dev (= 6.0.1-1+cuda10.0), libcudnn7 (= 7.6.3.28-1+cuda10.0), libnvidia-container0 (= 0.9.0~beta.1), cuda-toolkit-10-0 (= 10.0.326-1), nvidia-container-csv-visionworks (= 1.6.0.500n), graphsurgeon-tf (= 6.0.1-1+cuda10.0), libopencv-samples (= 4.1.1-2-gd5a58aa75), python-libnvinfer-dev (= 6.0.1-1+cuda10.0), libnvinfer-plugin-dev (= 6.0.1-1+cuda10.0), libnvinfer-plugin6 (= 6.0.1-1+cuda10.0), nvidia-container-toolkit (= 1.0.1-1), libnvinfer-dev (= 6.0.1-1+cuda10.0), libvisionworks (= 1.6.0.500n), libopencv-dev (= 4.1.1-2-gd5a58aa75), nvidia-l4t-jetson-multimedia-api (= 32.3.1-20191209225816), vpi-dev (= 0.1.0), vpi (= 0.1.0), python3-libnvinfer (= 6.0.1-1+cuda10.0), python3-libnvinfer-dev (= 6.0.1-1+cuda10.0), opencv-licenses (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-tensorrt (= 6.0.1.10-1+cuda10.0), libnvinfer6 (= 6.0.1-1+cuda10.0), libnvonnxparsers-dev (= 6.0.1-1+cuda10.0), libnvonnxparsers6 (= 6.0.1-1+cuda10.0), uff-converter-tf (= 6.0.1-1+cuda10.0), nvidia-docker2 (= 2.2.0-1), libvisionworks-sfm (= 0.90.4), libnvidia-container-tools (= 0.9.0~beta.1), nvidia-container-runtime (= 3.1.0-1), python-libnvinfer (= 6.0.1-1+cuda10.0), libvisionworks-tracking (= 0.88.2)
Homepage: Autonomous Machines | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.3-b134_arm64.deb
Size: 29742
SHA256: 1fd73e258509822b928b274f61a413038a29c3705ee8eef351a914b9b1b060ce
SHA1: a7c4ab8b241ab1d2016d2c42f183c295e66d67fe
MD5sum: de856bb9607db87fd298faf7f7cc320f
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8