The workaround is to use source activate my_env but this shouldn't be necessary.. Steps to Reproduce. 3 scikit-learn . h5pyanacondah5pymodule 'h5py' has no attribute 'File'h5pycmdTensorFlow pip uninstall h5py conda install h5py Tensorflow 201590.1 201720.1 20192.02.0beta tensorflow Scikit-learngpu CaffeC++python Write a bash script with the following code inside, let's call it my-script.sh:

For me as well, the major issue was that both pip and conda had separate h5py installations, and possibly libraries and dependencies for tensorflow were split between the two. This means that you can use any of its packages but you cannot make any modifications to them (such as an upgrade) and you cannot install new ones in their location. conda create -n py36 python=3.6 conda activate py36 So you don't need to explicitly uninstall. win10 Anaconda 2020.07.20 tf2nlp + python3.7 Anacondatf2nlppip install tensorflow==2.0pythontensorflow See the pip documentation for more. AnacondaPythoncondaPython180 anacondaPython_ ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' 20190201 numpybug bug Then I stop Anaconda, run those monitor again, run again Anaconda-Navigator and set up the permissions on my security network monitor (for python 2.7 or 3.7). Uninstall the pairtools package: $ pip uninstall pairtools. serialpyserialserialpyserialpycharm 1. filesettings 2. Getting Started With LMDB. pip uninstall h5py. During the past few weeks, I have been trying to install solaris on google colab but with no success. I found my security network monitor (Little Snitch, Hands Off!, etc) block conda and anaconda. Now, Install keras, This will install updated and same version of keras and h5py Package Latest Version Doc Dev License linux-64 osx-64 win-64 noarch Summary _libgcc_mutex: 0.1: None: X: Mutex for libgcc and libgcc-ng _low_priority: 1.0: X: X: Metapackage to lower the priority of a package using track_features Another (cleaner) option is to create a new env: conda create -n your_env_name -c pytorch pytorch=1.2.0=py3.7_cuda92_cudnn7_1. anacondah5pymodule 'h5py' has no attribute 'File'h5pycmdTensorFlow pip uninstall h5py conda install h5py

Then I double clicked to open the jupyer-notebook.exe, a jupyter console window showed up and disappeared in 3 seconds and without openning the localhost:8888 page, nor could I manually open the localhost address. For reference they are: VTK 8.1; H5Py; Numpy <= 1.13; We no longer support python 2.7 on Windows builds. import keras c:\users\popeye\appdata\local\programs\python\python35\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. A lot. Not able to figure out what might be going wrong. pip install -U scikit-learn or pip uninstall scikit-learn conda . Now youre ready for storing and reading images from disk. There is. Remove keras pip uninstall keras. TensorFlowPython AttributeError: type object 'h5py.h5.H5PYConfig' has no attribute '__reduce_cython__' h5pyStack Overflowh5pypip uninstall h5pycondaconda install -c anaconda h5py The pip version was pointing to an imaginary hdf5 installation, and most likely it was out of date but being imported by the library I was trying to use (tensorboard). Except for filesystem issues on Windows, I think our actual uninstall-install transaction times are reasonable. I have python 3.6.4 on windows 7 64 bit machine. I am able to import h5Py in Anaconda prompt and ipython but it doesnt work in Spyder. The Anaconda Python distribution is system software. But setting performance expectations based on the current pip isnt reasonable, and is the wrong target. LMDB, sometimes referred to as the Lightning Database, stands for Lightning Memory-Mapped Database because its fast and uses memory-mapped files.Its a key-value store, not a relational database. 3 . From then all is ok. python 1.pip pip uninstall numpy 2. VMTK 1.4+ requires python 3.5+ on Windows 10. h5pyanacondah5pymodule 'h5py' has no attribute 'File'h5pycmdTensorFlow pip uninstall h5py conda install h5py Solution: I stop those monitor and Anaconda-Navigator and Coda works fine! Last time(a day ago) I lauched the notebook and close it, it was running fine. Benchmarking against yum and apt-get is *closer*, but there were even doing substantially more work. That command will reconfigure your environment to use the specified version. Package Latest Version Doc Dev License linux-64 osx-64 win-64 noarch Summary; 7za: 920: doc: LGPL: X: Open-source file archiver primarily used to compress files: 7zip Trying to use conda activate my_env does not work inside a bash script. Anaconda Promptjupyter notebooktensorflow Anaconda Prompt h5py pip uninstall h5py pip install h5py jupyter notebook I used jupyter notebook command in the cmd window, it shows the n Current Behavior. tf.keras:win10+anaconda+tf 1.2.0+keras 2.0.6+py 3.6.2import tensorflow.keras as kerastensorflow.kerasNo module named kerasimport tensorflow as tffrom tensorflow import kerasp pythonLinuxpython keras File "h5py\h5f.pyx", 3 4h5pypip uninstall h5py anacondaactivatelabelmepipopencv.

In future, it will be treated as `np.float64 == np.dtype(float).type`. 1.conda uninstall pytorch 2.conda uninstall libtorch source deactivate # conda conda deactivate # conda Linuxpytorch. The general dependencies of VMTK 1.4+ are automatically installed by the anaconda package manager. I have had countless problems with installing opencv with conda This is my approach, create an env if you don't already have one.