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Added Jetson Nano specific release -- Downgraded PyToch to 1.10 to regain 5.3 support
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‎Jetson/BuildConf/jetson_tensorflow_opencv-r32.6.1_1.15_3.4.16-20220407.txt‎

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‎Jetson/BuildConf/jetson_tensorflow_opencv-r32.6.1_1.15_4.5.5-20220407.txt‎

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CTO_FROM : nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf1.15-py3
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docker build \
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--build-arg CTO_FROM="nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf1.15-py3" \
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--build-arg CTO_OPENCV_VERSION=4.5.5 \
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--build-arg CTO_NUMPROC=4 \
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--build-arg CTO_CUDA_BUILD="-DWITH_CUDA=ON -DCUDA_FAST_MATH=1 -DWITH_CUBLAS=1 -DCUDA_ARCH_BIN=5.3,6.2,7.2 -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-10.2 -DCUDA_ARCH_PTX=" \
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--build-arg CTO_TF_KERAS="keras==2.3.1 tensorflow<2" \
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--tag="datamachines/jetson_tensorflow_opencv:r32.6.1_1.15_4.5.5-20220407" \
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.
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General configuration for OpenCV 4.5.5 =====================================
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Version control: unknown
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Extra modules:
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Location (extra): /usr/local/src/opencv_contrib/modules
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Version control (extra): unknown
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Platform:
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Timestamp: 2022-04-08T07:59:03Z
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Host: Linux 4.9.253-tegra aarch64
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CMake: 3.22.2
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CMake generator: Unix Makefiles
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CMake build tool: /usr/bin/make
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Configuration: Release
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CPU/HW features:
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Baseline: NEON FP16
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C/C++:
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Built as dynamic libs?: YES
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C++ standard: 11
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C++ Compiler: /usr/bin/c++ (ver 7.5.0)
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C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -O3 -DNDEBUG -DNDEBUG
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C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG
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C Compiler: /usr/bin/cc
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C flags (Release): -I/usr/include/openjpeg-2.3 -I/usr/include/jxrlib -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fopenmp -O3 -DNDEBUG -DNDEBUG
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C flags (Debug): -I/usr/include/openjpeg-2.3 -I/usr/include/jxrlib -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG
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Linker flags (Release): -Wl,--gc-sections -Wl,--as-needed
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Linker flags (Debug): -Wl,--gc-sections -Wl,--as-needed
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ccache: NO
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Precompiled headers: NO
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Extra dependencies: m pthread cudart_static dl rt nppc nppial nppicc nppicom nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cufft -L/usr/local/cuda-10.2/lib64 -L/usr/lib/aarch64-linux-gnu
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3rdparty dependencies:
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OpenCV modules:
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To be built: alphamat aruco barcode bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dpm face features2d flann freetype fuzzy gapi hdf hfs highgui img_hash imgcodecs imgproc intensity_transform line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency sfm shape stereo stitching structured_light superres surface_matching text tracking video videoio videostab wechat_qrcode xfeatures2d ximgproc xobjdetect xphoto
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Disabled: world
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Disabled by dependency: -
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Unavailable: cvv java julia matlab ovis python2 ts viz
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Applications: apps
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Documentation: NO
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Non-free algorithms: NO
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GUI: GTK3
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GTK+: YES (ver 3.22.30)
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GThread : YES (ver 2.56.4)
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GtkGlExt: NO
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OpenGL support: NO
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VTK support: NO
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Media I/O:
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ZLib: /usr/lib/aarch64-linux-gnu/libz.so (ver 1.2.11)
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JPEG: /usr/lib/aarch64-linux-gnu/libjpeg.so (ver 80)
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WEBP: /usr/lib/aarch64-linux-gnu/libwebp.so (ver encoder: 0x020e)
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PNG: /usr/lib/aarch64-linux-gnu/libpng.so (ver 1.6.34)
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TIFF: build (ver 42 - 4.2.0)
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JPEG 2000: OpenJPEG (ver 2.3.0)
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OpenEXR: build (ver 2.3.0)
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GDAL: NO
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HDR: YES
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SUNRASTER: YES
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PXM: YES
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PFM: YES
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Video I/O:
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DC1394: YES (2.2.5)
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FFMPEG: YES
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avcodec: YES (57.107.100)
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avformat: YES (57.83.100)
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avutil: YES (55.78.100)
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swscale: YES (4.8.100)
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avresample: NO
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GStreamer: YES (1.14.5)
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v4l/v4l2: YES (linux/videodev2.h)
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Xine: YES (ver 1.2.8)
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Parallel framework: TBB (ver 2017.0 interface 9107)
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Trace: YES (with Intel ITT)
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Other third-party libraries:
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Lapack: NO
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Eigen: YES (ver 3.3.4)
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Custom HAL: YES (carotene (ver 0.0.1))
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Protobuf: build (3.19.1)
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NVIDIA CUDA: YES (ver 10.2, CUFFT CUBLAS FAST_MATH)
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NVIDIA GPU arch: 53 62 72
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NVIDIA PTX archs:
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cuDNN: NO
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Python 3:
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Interpreter: /usr/bin/python3 (ver 3.6.9)
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Libraries: /usr/lib/aarch64-linux-gnu/libpython3.6m.so (ver 3.6.9)
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numpy: /usr/local/lib/python3.6/dist-packages/numpy/core/include (ver 1.18.5)
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install path: /usr/lib/python3/dist-packages/cv2/python-3.6
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Python (for build): /usr/bin/python2.7
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Java:
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ant: NO
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JNI: NO
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Java wrappers: NO
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Java tests: NO
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Install to: /usr/local
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-----------------------------------------------------------------
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[pip list]
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Package Version
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-------------------- ---------------
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absl-py 0.13.0
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appdirs 1.4.4
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argon2-cffi 21.3.0
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argon2-cffi-bindings 21.2.0
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astor 0.8.1
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astunparse 1.6.3
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async-generator 1.10
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attrs 21.4.0
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autovizwidget 0.19.1
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backcall 0.2.0
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beautifulsoup4 4.6.0
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bleach 4.1.0
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certifi 2021.10.8
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cffi 1.15.0
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chardet 3.0.4
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charset-normalizer 2.0.12
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cupy 9.2.0
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cycler 0.10.0
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Cython 0.29.28
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dataclasses 0.8
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decorator 4.4.2
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defusedxml 0.7.1
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distro 1.7.0
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entrypoints 0.4
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fastrlock 0.8
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future 0.18.2
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futures 3.1.1
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gast 0.3.3
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google-pasta 0.2.0
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grpcio 1.39.0
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h5py 2.10.0
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hdijupyterutils 0.19.1
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html5lib 0.999999999
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idna 3.3
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imagecodecs 2020.5.30
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imageio 2.15.0
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imageio-ffmpeg 0.4.5
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importlib-metadata 4.6.3
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importlib-resources 5.4.0
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ipykernel 5.5.6
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ipython 7.16.3
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ipython-genutils 0.2.0
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ipywidgets 7.6.5
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jedi 0.17.2
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Jinja2 3.0.3
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joblib 1.1.0
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jsonschema 3.2.0
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jupyter 1.0.0
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jupyter-client 7.1.2
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jupyter-console 6.4.3
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jupyter-core 4.9.2
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jupyterlab-pygments 0.1.2
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jupyterlab-widgets 1.0.2
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Keras 2.3.1
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Keras-Applications 1.0.8
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Keras-Preprocessing 1.1.1
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kiwisolver 1.3.1
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llvmlite 0.36.0
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lxml 4.2.1
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Mako 1.1.4
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Markdown 3.3.4
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MarkupSafe 2.0.1
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matplotlib 2.1.1
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mistune 0.8.4
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mock 3.0.5
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moviepy 1.0.3
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nbclient 0.5.9
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nbconvert 6.0.7
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nbformat 5.1.3
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nest-asyncio 1.5.4
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networkx 2.5.1
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ninja 1.10.2.3
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nose 1.3.7
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notebook 6.4.8
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numba 0.47.0
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numpy 1.18.5
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olefile 0.45.1
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onnx 1.11.0
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opt-einsum 3.3.0
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packaging 21.3
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pandas 1.1.5
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pandocfilters 1.5.0
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parso 0.7.1
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pbr 5.8.1
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pexpect 4.8.0
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pickleshare 0.7.5
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Pillow 8.4.0
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pip 21.3.1
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plotly 5.6.0
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proglog 0.1.9
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prometheus-client 0.13.1
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prompt-toolkit 3.0.28
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protobuf 3.17.3
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ptyprocess 0.7.0
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pybind11 2.9.1
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pycparser 2.21
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pycuda 2021.1
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Pygments 2.11.2
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PyGObject 3.26.1
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pyparsing 2.2.0
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pyrsistent 0.18.0
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PySoundFile 0.9.0.post1
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python-apt 1.6.5+ubuntu0.7
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python-dateutil 2.8.2
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pytools 2021.2.7
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pytz 2018.3
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PyWavelets 1.1.1
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PyYAML 3.12
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pyzmq 22.3.0
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qtconsole 5.2.2
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QtPy 2.0.1
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requests 2.27.1
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scikit-build 0.13.1
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scikit-image 0.17.2
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scikit-learn 0.24.2
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scipy 1.5.4
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Send2Trash 1.8.0
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setuptools 59.6.0
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six 1.16.0
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tenacity 8.0.1
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tensorboard 1.15.0
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tensorflow 1.15.5+nv21.7
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tensorflow-estimator 1.15.1
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termcolor 1.1.0
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terminado 0.12.1
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testpath 0.6.0
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testresources 2.0.1
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threadpoolctl 3.1.0
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tifffile 2020.9.3
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torch 1.10.0
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tornado 6.1
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tqdm 4.63.0
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traitlets 4.3.3
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typing-extensions 3.10.0.0
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unattended-upgrades 0.1
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urllib3 1.26.8
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wcwidth 0.2.5
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webencodings 0.5
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Werkzeug 2.0.1
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wheel 0.36.2
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widgetsnbextension 3.5.2
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wrapt 1.12.1
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zipp 3.5.0
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-- Confirming OpenCV Python is installed. Version: 4.5.5
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-------------------------------------------------------
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[Extra information]
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FOUND_UBUNTU: 18.04
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FOUND_CUDNN: 8.2.1
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2022-04-08 10:13:11.884587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.2
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WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
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*** Tensorflow version : 1.15.5
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*** Tensorflow Keras : 2.2.4-tf
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*** TF Builf with cuda : True
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*** TF compile flags : ['-I/usr/local/lib/python3.6/dist-packages/tensorflow_core/include', '-D_GLIBCXX_USE_CXX11_ABI=1']
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*** TF include : /usr/local/lib/python3.6/dist-packages/tensorflow_core/include
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*** TF lib : /usr/local/lib/python3.6/dist-packages/tensorflow_core
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*** TF link flags : ['-L/usr/local/lib/python3.6/dist-packages/tensorflow_core', '-l:libtensorflow_framework.so.1']
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*** OpenCV version : 4.5.5
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Using TensorFlow backend.
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*** Keras version : 2.3.1
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*** PyTorch version : 1.10.0
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*** pandas version : 1.1.5
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(!! the following is build device specific, and here only to confirm hardware availability, ignore !!)
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2022-04-08 10:13:44.764802: W tensorflow/core/platform/profile_utils/cpu_utils.cc:98] Failed to find bogomips in /proc/cpuinfo; cannot determine CPU frequency
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2022-04-08 10:13:44.765491: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x395117d0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
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2022-04-08 10:13:44.765574: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
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2022-04-08 10:13:44.774694: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
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2022-04-08 10:13:44.927419: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:13:44.927807: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3f21d3d0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
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2022-04-08 10:13:44.927895: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA Tegra X1, Compute Capability 5.3
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2022-04-08 10:13:44.928492: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:13:44.928642: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1666] Found device 0 with properties:
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name: NVIDIA Tegra X1 major: 5 minor: 3 memoryClockRate(GHz): 0.9216
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pciBusID: 0000:00:00.0
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2022-04-08 10:13:44.928738: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.2
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2022-04-08 10:13:44.929078: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10
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2022-04-08 10:13:44.929245: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
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2022-04-08 10:13:44.929445: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
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2022-04-08 10:13:44.929630: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
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2022-04-08 10:13:44.929798: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.10
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2022-04-08 10:13:44.929951: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
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2022-04-08 10:13:44.930298: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:13:44.930663: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:13:44.930766: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1794] Adding visible gpu devices: 0
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2022-04-08 10:13:44.930925: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.2
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2022-04-08 10:14:09.598368: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1206] Device interconnect StreamExecutor with strength 1 edge matrix:
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2022-04-08 10:14:09.787432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] 0
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2022-04-08 10:14:09.787563: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1225] 0: N
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2022-04-08 10:14:09.994143: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:14:09.996027: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:14:10.019156: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1351] Created TensorFlow device (/device:GPU:0 with 158 MB memory) -> physical GPU (device: 0, name: NVIDIA Tegra X1, pci bus id: 0000:00:00.0, compute capability: 5.3)
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--- All seen hardware :
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[name: "/device:CPU:0"
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device_type: "CPU"
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memory_limit: 268435456
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locality {
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}
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incarnation: 11904819483682238112
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, name: "/device:XLA_CPU:0"
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device_type: "XLA_CPU"
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memory_limit: 17179869184
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locality {
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}
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incarnation: 129974269573400188
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physical_device_desc: "device: XLA_CPU device"
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, name: "/device:XLA_GPU:0"
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device_type: "XLA_GPU"
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memory_limit: 17179869184
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locality {
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}
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incarnation: 10911684157245218561
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physical_device_desc: "device: XLA_GPU device"
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, name: "/device:GPU:0"
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device_type: "GPU"
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memory_limit: 166195200
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locality {
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bus_id: 1
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links {
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}
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}
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incarnation: 2668093820693791662
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physical_device_desc: "device: 0, name: NVIDIA Tegra X1, pci bus id: 0000:00:00.0, compute capability: 5.3"
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]
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2022-04-08 10:14:10.246954: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:14:10.247309: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1666] Found device 0 with properties:
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name: NVIDIA Tegra X1 major: 5 minor: 3 memoryClockRate(GHz): 0.9216
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pciBusID: 0000:00:00.0
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2022-04-08 10:14:10.276324: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.2
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2022-04-08 10:14:10.368962: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10
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2022-04-08 10:14:10.369422: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
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2022-04-08 10:14:10.380364: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
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2022-04-08 10:14:10.380861: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
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2022-04-08 10:14:10.381203: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.10
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2022-04-08 10:14:10.381635: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
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2022-04-08 10:14:10.382939: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:14:10.384193: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero
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2022-04-08 10:14:10.384528: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1794] Adding visible gpu devices: 0
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--- TF GPU Available :
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[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

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