0.13.1

Fixed

• Add spir file to package.
• Do not modify CC env variable during build.
• Use correct version in documentation.

0.13.0

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.

0.13.0rc1

Added

• Documentation.
• Support NumPy functions via dpNP: random, linalg, transcendental, array ops, array creation.

Changed

• Start using black code style formatter.
• Start using Apache 2.0 license.
• Updated to Numba 0.52, dpCtl 0.6 and dpNP 0.5.1.
• Start using pytest for running tests.

0.12.0

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.

0.12.0rc2

• 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.*