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  • v1.1.2

    • Fix bug in bashed computations
    • Add to wheel pykeops package licence file
  • v1.1.1

    • Change LazyTensor imports. One should use: from pykeops.{numpy,torch} import LazyTensor.
    • Add to wheel pykeops package a 'devtools' option that install cmake and gcc.
  • v1.1

    • Add Support for LazyTensor
    • Improve the documentation
    • Refactor KeOps cpp directory structure
    • Improve build dir structure: builds are done in a subdirectory and builds junks are removed after sucessful compilation. Add keops_hash.log file to decypher .so names.
    • Add support for environment variable (PYKEOS_VERBOSE and PYKEOPS_BUILD_TYPE) to make debug and verbosity easier
  • v1.0.2

    • fix a bug in variable parsing for pykeops bindings
    • KernelSolve syntax: move alpha kwarg in ''
    • doc improvement
  • v1.0.1

  • v1.0

    • add conjugate gradient solver KernelSolve
    • change variable notations in formula: {Vx,Vy} to {Vi,Vj}. Old notations are still compatible (warning message)
    • change kwarg 'cuda_type' to 'dtype'. Old Kwarg is still valid for backward compatibility
    • Doc has been improved
  • v0.1.6

  • v0.1.5

    • keops: the upper bound on CudaBlockSize is now computed at compilation time (and not at runtime). So binaries have to be recompiled when the hardware is changing.
    • pykeops: Lock file for the Build dir is now done in python.
  • v0.1.4

    • pyKeops compatibility with pytorch 1.0
    • some refactoring of Keopslab code (Kernel function is now called keops_kernel and Grad function is called kernel_grad)
  • v0.1.3

    • Fix pickle problem with inherited class in pytorch
    • 'import pykeops' do not try to import torch any more
  • v0.1.2

    • Small fixes on wheel packages
  • v0.1.0

    • PyKeOps is now using Pybind11
    • Multi GPU support
    • Min, Max ... reduction added
    • doc with sphinx
  • v0.0.12

    • Some performance improvements in the formula (Square, Inv, ...)
  • v0.0.10

    • First release of KeOps
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