plot_model of Keras installed on Windows may return pydot and graphviz related error like “Graphviz’s executables are not found’. The error cause is that the computer does not know the path of Graphviz’s executable exactly mentioned as the error message. The solution is explained here.
- Install GraphViz software not python module
- add GraphViz’s bin directory to system path
- install graphviz like conda install graphviz
- install pydot like pip install git+https://github.com/nlhepler/pydot.git
We need the appropriate cuDNN and this kind of import error occurred by missing the right version.
See this release note. TensorFlow 1.3.0 (and other prebuilt binaries) have been built with cuDNN 6 and TensorFlow 1.4 with cuDNN 7.
cuDNN installer are downloadable from here. On 2017.08.30, they provide the following versions.
- cuDNN 7.0 for CUDA 9.0 RC
- cuDNN 7.0 for CUDA 8.0
- cuDNN 6.0 for CUDA 8.0
- cuDNN 6.0 for CUDA 7.5
- cuDNN 5.1 for CUDA 8.0
- cuDNN 5.1 for CUDA 7.5
Suppose you have a file containing a space at the end of its extension on Windows. Let ABSOLUTE_PATH denote the absolute path of the file, the following command can erase the file.
right after you installed visual studio 2015, CMake cannot find C and C++ compiler of it because Visual Studio 2015 installer didn’t install any compiler. Although I have no ideas this is due to default or my install setting, I found the solution.
Open Visual Studio 2015 and create a new project using C or C++ so that FXXX Visual Studio asks you whether you install the compiler or not.
Let ANACONDA_ROOT_DIR denote the root directory of Anaconda, C:\Anaconda2 in my case.
- copy Leap.py to ANACONDA_ROOT_DIR\Lib
- copy Leap.dll, LeapPython.pyd, msvcp120.dll, msvcr120.dll to ANACONDA_ROOT_DIR\DLLs
spyder installed in my Windows 10 PC failed to boot after update conda –all. The error cause is a kind of conflict between pyqt and pyside. A solution I found on the web is here and it worked on my case. The solution is re-install pyqt version 4.10 by
conda install pyqt=4.10 -f