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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](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [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.