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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[0.13.0] - 2021-03-02

Added

  • Documentation.
  • Add support for dpctl.dparray.
  • Support NumPy functions via DPNP: random, linalg, transcendental, array ops, array creation.
  • Wheels building.
  • Using Bandit for finding common security issues in Python code.

Changed

  • Start using black code style formatter.
  • Build SPIRV code in setup.py.
  • Start using pytest for running tests.
  • Start using Apache 2.0 license.
  • Consistency of file headers.
  • Updated to Numba 0.52, dpCtl 0.6 and dpNP 0.5.1.
  • Don't create a new copy of a usm shared array data pointers for kernel call.
  • Modify test cases and examples to use Level Zero queue.

Fixed

  • Fix incorrect import in examples.

[0.12.0] - 2020-12-17

Added

  • numba-dppy is a standalone package now. Added setup.py and conda recipe.
  • Offload diagnostics.
  • Controllable fallback.
  • Add flags to generate debug symbols.
  • Implementation of np.linalg.eig, np.ndarray.sum, np.ndarray.max, np.ndarray.min, np.ndarray.mean.
  • Two new re-write passes to convert NumPy calls into a pseudo numba_dppy call site to allow target-specific overload of NumPy functions. The rewrite passes is a temporary fix till Numba gains support for target-specific overlaods.
  • Updated to dpCtl 0.5.* and dpNP 0.4.*

Changed

  • The dpnp interface now uses Numba's @overload functionality as opposed to the previous @lower_builtin method.
  • Rename DPPL to DPPY.
  • Cleaned test code.
  • DPPLTestCase replaced with unittest.TestCase.
  • All tests and examples use with device_context.
  • Config environment variables starts with NUMBA_DPPY_ (i.e. NUMBA_DPPY_SAVE_IR_FILES and NUMBA_DPPY_SPIRV_VAL)
  • Remove nested folder dppl in tests.
  • No dependency on cffi.

Removed

  • The old backup file.

NUMBA Version 0.48.0 + DPPY Version 0.3.0 (June 29, 2020)

This release includes:

  • Caching of dppy.kernels which will improve performance.
  • Addition of support for Intel Advisor which will help in profiling applications.