Hey,
I can’t find where to report bugs, or where the sources are located to make a pull request.
This is a major issue because libraries such as Keras depend on this attribute to exist.
Steps to reproduce:
- Flash the latest Jetson Nano image, currently: nv-jetson-nano-sd-card-image-r32.4.2b.zip
- Flash it to nano and complete the login so you can ssh to the machine
- From ssh install dependencies for tensorflow:
sudo bash -c 'wget https://bootstrap.pypa.io/get-pip.py -O - | python3'
sudo apt-get build-dep python3-scipy
sudo apt-get install libhdf5-dev
- Install tensforflow as described in the official docs:
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 tensorflow
Expected:
Tensorflow 2 should have __version__:
python3 -c "import tensorflow ; print(tensorflow.__version__)"
2.2.0
Actual:
root@jetson:/home/guy# python3 -c "import tensorflow ; print(tensorflow.__version__)"
2020-07-07 12:10:11.183012: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.2
2020-07-07 12:10:13.887448: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libnvinfer.so.7
2020-07-07 12:10:13.889675: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libnvinfer_plugin.so.7
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/module_wrapper.py", line 192, in __getattr__
attr = getattr(self._tfmw_wrapped_module, name)
AttributeError: module 'tensorflow' has no attribute '__version__'
Jetpack version:
sudo apt-cache show nvidia-jetpack
Package: nvidia-jetpack
Version: 4.4-b144
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 195
Depends: nvidia-container-csv-cuda (= 10.2.89-1), libopencv-python (= 4.1.1-2-gd5a58aa75), libvisionworks-sfm-dev (= 0.90.4.501), libvisionworks-dev (= 1.6.0.501), libnvparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-plugin-dev (= 7.1.0-1+cuda10.2), libnvonnxparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-samples (= 7.1.0-1+cuda10.2), libnvinfer-bin (= 7.1.0-1+cuda10.2), libvisionworks-samples (= 1.6.0.501), libvisionworks-tracking-dev (= 0.88.2.501), vpi-samples (= 0.2.0), tensorrt (= 7.1.0.16-1+cuda10.2), libopencv (= 4.1.1-2-gd5a58aa75), libnvinfer-doc (= 7.1.0-1+cuda10.2), libnvparsers-dev (= 7.1.0-1+cuda10.2), libnvidia-container0 (= 0.9.0~beta.1), nvidia-container-csv-visionworks (= 1.6.0.501), cuda-toolkit-10-2 (= 10.2.89-1), graphsurgeon-tf (= 7.1.0-1+cuda10.2), libcudnn8 (= 8.0.0.145-1+cuda10.2), libopencv-samples (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-cudnn (= 8.0.0.145-1+cuda10.2), python-libnvinfer-dev (= 7.1.0-1+cuda10.2), libnvinfer-plugin7 (= 7.1.0-1+cuda10.2), libvisionworks (= 1.6.0.501), libcudnn8-doc (= 8.0.0.145-1+cuda10.2), nvidia-container-toolkit (= 1.0.1-1), libnvinfer-dev (= 7.1.0-1+cuda10.2), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0), libopencv-dev (= 4.1.1-2-gd5a58aa75), vpi-dev (= 0.2.0), vpi (= 0.2.0), libcudnn8-dev (= 8.0.0.145-1+cuda10.2), python3-libnvinfer (= 7.1.0-1+cuda10.2), python3-libnvinfer-dev (= 7.1.0-1+cuda10.2), opencv-licenses (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-tensorrt (= 7.1.0.16-1+cuda10.2), libnvinfer7 (= 7.1.0-1+cuda10.2), libnvonnxparsers-dev (= 7.1.0-1+cuda10.2), uff-converter-tf (= 7.1.0-1+cuda10.2), nvidia-docker2 (= 2.2.0-1), libvisionworks-sfm (= 0.90.4.501), libnvidia-container-tools (= 0.9.0~beta.1), nvidia-container-runtime (= 3.1.0-1), python-libnvinfer (= 7.1.0-1+cuda10.2), libvisionworks-tracking (= 0.88.2.501)
Conflicts: cuda-command-line-tools-10-0, cuda-compiler-10-0, cuda-cublas-10-0, cuda-cublas-dev-10-0, cuda-cudart-10-0, cuda-cudart-dev-10-0, cuda-cufft-10-0, cuda-cufft-dev-10-0, cuda-cuobjdump-10-0, cuda-cupti-10-0, cuda-curand-10-0, cuda-curand-dev-10-0, cuda-cusolver-10-0, cuda-cusolver-dev-10-0, cuda-cusparse-10-0, cuda-cusparse-dev-10-0, cuda-documentation-10-0, cuda-driver-dev-10-0, cuda-gdb-10-0, cuda-gpu-library-advisor-10-0, cuda-libraries-10-0, cuda-libraries-dev-10-0, cuda-license-10-0, cuda-memcheck-10-0, cuda-misc-headers-10-0, cuda-npp-10-0, cuda-npp-dev-10-0, cuda-nsight-compute-addon-l4t-10-0, cuda-nvcc-10-0, cuda-nvdisasm-10-0, cuda-nvgraph-10-0, cuda-nvgraph-dev-10-0, cuda-nvml-dev-10-0, cuda-nvprof-10-0, cuda-nvprune-10-0, cuda-nvrtc-10-0, cuda-nvrtc-dev-10-0, cuda-nvtx-10-0, cuda-samples-10-0, cuda-toolkit-10-0, cuda-tools-10-0, libcudnn7, libcudnn7-dev, libcudnn7-doc, libnvinfer-plugin6, libnvinfer6, libnvonnxparsers6, libnvparsers6
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4-b144_arm64.deb
Size: 30394
SHA256: 1d9d4937623862e4990d25df9a0dd09c78ddbbc4919d1f4c9bf4cd8df09b8869
SHA1: 0608076bbb7ee28f2c388532594ff1951f99e61b
MD5sum: 2c12a5042171a8caa2dd3e4a32246cd2
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8
Release:
cat /etc/nv_tegra_release
# R32 (release), REVISION: 4.2, GCID: 20074772, BOARD: t210ref, EABI: aarch64, DATE: Thu Apr 9 01:22:12 UTC 2020
Output after installing tensorflow, it is there:
Successfully installed absl-py-0.9.0 astor-0.8.1 cachetools-4.1.1 gast-0.2.2 google-auth-1.18.0 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.30.0 h5py-2.10.0 importlib-metadata-1.7.0 keras-applications-1.0.8 keras-preprocessing-1.1.2 markdown-3.2.2 oauthlib-3.1.0 opt-einsum-3.2.1 protobuf-3.12.2 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.24.0 requests-oauthlib-1.3.0 rsa-4.6 scipy-1.4.1 tensorboard-2.1.1 tensorflow-2.1.0+nv20.4 tensorflow-estimator-2.1.0 termcolor-1.1.0 werkzeug-1.0.1 wrapt-1.12.1 zipp-3.1.0
Should I post this anywhere else?