In pure server mode, it always runs at a maximum clock rate of 600 MHz without being used. I was able to compile it successfully by following the steps given there. This time it's about downclocking the GPU, the graphics processor of the ODROID-XU4. Sudo pip2 install /tmp/tensorflow_pkg/tensorflow-1.4.0-cp27-cp27mu-linux_armv7l.whl -upgrade -ignore-installed Big power in a small package The ODROID-XU4Q packs an octa-core Heterogeneous Multi-Processing ARM CPU, 2GB of high-speed RAM, 2x full-sized USB3.0 ports, Gigabit Ethernet and more into one great solution The ODROID-XU4Q is. Disable XLA as it's causing some problems.īazel build -c opt -copt="-funsafe-math-optimizations" -copt="-ftree-vectorize" -copt="-fomit-frame-pointer" -local_resources 8192,8.0,1.0 -verbose_failures tensorflow/tools/pip_package:build_pip_packageīazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg or 4 interest-free payments of 16.74 with. The ODROID-XU4 is built around a Samsung Exynos5422 SoC that features four Cortex-A15 cores at 2.0GHz and four Cortex-A7 cores at 1.3GHz, while the graphics are provided by a Mali-T628. Figure 1 - The ODROID-XU4 single board computer.
0 Comments
Leave a Reply. |