Reduce size of python array

    • [PDF File]CME 323: TensorFlow Tutorial

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      Convert tensors to numpy array and print. TensorFlow is fastidious about types and shapes. Check that types/shapes of all tensors match. TensorFlow API is less mature than Numpy API. Many advanced Numpy operations (e.g. complicated array slicing) not supported yet!

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    • [PDF File]Python: Working with pixels

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      Assignment: Create a python function for each of the following: 1. Decrease red by 20% 2. Decrease green by 20% 3. Decrease blue by 20% 4. Increase red by 20%, if possible (i.e., if it does not exceed 255) 5. Similarly for increasing blue and green 6. “Posterize” 7. …

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    • [PDF File]100 numpy exercises

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      Aug 12, 2016 · Create a null vector of size 10 (★☆☆) ... print(Z) 4. How to get the documentation of the numpy add function from the command line? (★☆☆) python -c "import numpy; numpy.info(numpy.add)" 5. Create a null vector of size 10 but the fifth value which is 1 (★☆☆) ... np.add.reduce(Z) 34. Consider two random array A anb B, check if ...

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    • [PDF File]Evaluation of PyTorch as a Data-Parallel Programming API ...

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      level languages such as Python, which could help developers sidestep the need for low-level application programming in C++ ... apply an operation to a size-N array in O(logN) time, assuming an unlimited number of processors. Such primitives are intended ... [EHK In order to reduce memory consumption, works like [06], where L0 is the background ...

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    • [PDF File]MPI for Python

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      Features { Interoperability Good support for wrapping other MPI-based codes. I You can use Cython (cimport statement). I You can use SWIG (typemaps provided). I You can use F2Py (py2f()/f2py() methods). I You can use Boost::Python or hand-written C extensions. mpi4py will allow you to use virtually any MPI based C/C++/Fortran code from Python.

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    • [PDF File]Parallel Computing in Python using mpi4py

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      In this mpi4py example every worker displays its rank and the world size: from mpi4py import MPI comm = MPI.COMM_WORLD print("%d of %d" % (comm.Get_rank(), comm.Get_size())) Use mpirun and python to execute this script: $ mpirun -n 4 python script.py Notes: MPI Init is called when mpi4py is imported MPI Finalize is called when the script exits

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