Moving to KomputeProject org

2021-07-22 08:30:00 +01:00 · 2021-07-22 08:30:00 +01:00 · d9203477d2
commit d9203477d2
parent 4ac54bf642
19 changed files with 202 additions and 202 deletions
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@ -1,279 +1,279 @@
 # Changelog

-## [v0.7.0](https://github.com/KomputeFoundation/kompute/tree/v0.7.0)
+## [v0.7.0](https://github.com/KomputeProject/kompute/tree/v0.7.0)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.6.0...v0.7.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.6.0...v0.7.0)

 **Implemented enhancements:**

- Extend non-spdlog print functions to use std::format [\#158](https://github.com/KomputeFoundation/kompute/issues/158)
- Add code coverage reports with codecov [\#145](https://github.com/KomputeFoundation/kompute/issues/145)
- Explore removing `std::vector mData;` completely from Tensor in favour of always storing data in hostVisible buffer memory \(TBC\) [\#144](https://github.com/KomputeFoundation/kompute/issues/144)
- Update all examples to match breaking changes in 0.7.0 [\#141](https://github.com/KomputeFoundation/kompute/issues/141)
- Avoid copy when returning python numpy / array [\#139](https://github.com/KomputeFoundation/kompute/issues/139)
- Cover all Python & C++ tests in CI  [\#121](https://github.com/KomputeFoundation/kompute/issues/121)
- Add C++ Test for Simple Work Groups Example [\#117](https://github.com/KomputeFoundation/kompute/issues/117)
- Expose push constants in OpAlgo [\#54](https://github.com/KomputeFoundation/kompute/issues/54)
- Expose ability to create barriers in OpTensor operations [\#45](https://github.com/KomputeFoundation/kompute/issues/45)
- Create delete function in manager to free / destroy sequence [\#36](https://github.com/KomputeFoundation/kompute/issues/36)
- Make specialisation data extensible [\#12](https://github.com/KomputeFoundation/kompute/issues/12)
- Support multiple types for Kompute Tensors [\#2](https://github.com/KomputeFoundation/kompute/issues/2)
- Added re-record sequence functionality and updated docs [\#171](https://github.com/KomputeFoundation/kompute/pull/171) ([axsaucedo](https://github.com/axsaucedo))
- Extend non-spdlog print functions to use fmt::format / fmt::print [\#159](https://github.com/KomputeFoundation/kompute/pull/159) ([axsaucedo](https://github.com/axsaucedo))
- Added support for custom SpecializedConstants and removed KomputeWorkgroup class [\#151](https://github.com/KomputeFoundation/kompute/pull/151) ([axsaucedo](https://github.com/axsaucedo))
- Added destroy functions for tensors and sequences \(named and object\) [\#146](https://github.com/KomputeFoundation/kompute/pull/146) ([axsaucedo](https://github.com/axsaucedo))
+- Extend non-spdlog print functions to use std::format [\#158](https://github.com/KomputeProject/kompute/issues/158)
+- Add code coverage reports with codecov [\#145](https://github.com/KomputeProject/kompute/issues/145)
+- Explore removing `std::vector mData;` completely from Tensor in favour of always storing data in hostVisible buffer memory \(TBC\) [\#144](https://github.com/KomputeProject/kompute/issues/144)
+- Update all examples to match breaking changes in 0.7.0 [\#141](https://github.com/KomputeProject/kompute/issues/141)
+- Avoid copy when returning python numpy / array [\#139](https://github.com/KomputeProject/kompute/issues/139)
+- Cover all Python & C++ tests in CI  [\#121](https://github.com/KomputeProject/kompute/issues/121)
+- Add C++ Test for Simple Work Groups Example [\#117](https://github.com/KomputeProject/kompute/issues/117)
+- Expose push constants in OpAlgo [\#54](https://github.com/KomputeProject/kompute/issues/54)
+- Expose ability to create barriers in OpTensor operations [\#45](https://github.com/KomputeProject/kompute/issues/45)
+- Create delete function in manager to free / destroy sequence [\#36](https://github.com/KomputeProject/kompute/issues/36)
+- Make specialisation data extensible [\#12](https://github.com/KomputeProject/kompute/issues/12)
+- Support multiple types for Kompute Tensors [\#2](https://github.com/KomputeProject/kompute/issues/2)
+- Added re-record sequence functionality and updated docs [\#171](https://github.com/KomputeProject/kompute/pull/171) ([axsaucedo](https://github.com/axsaucedo))
+- Extend non-spdlog print functions to use fmt::format / fmt::print [\#159](https://github.com/KomputeProject/kompute/pull/159) ([axsaucedo](https://github.com/axsaucedo))
+- Added support for custom SpecializedConstants and removed KomputeWorkgroup class [\#151](https://github.com/KomputeProject/kompute/pull/151) ([axsaucedo](https://github.com/axsaucedo))
+- Added destroy functions for tensors and sequences \(named and object\) [\#146](https://github.com/KomputeProject/kompute/pull/146) ([axsaucedo](https://github.com/axsaucedo))

 **Fixed bugs:**

- push\_constant not working in my case? [\#168](https://github.com/KomputeFoundation/kompute/issues/168)
- DescriptorPool set is not being freed [\#155](https://github.com/KomputeFoundation/kompute/issues/155)
- Updated memory barriers to include staging buffers [\#182](https://github.com/KomputeFoundation/kompute/pull/182) ([axsaucedo](https://github.com/axsaucedo))
- Adds push const ranges in pipelinelayout to fix \#168 [\#174](https://github.com/KomputeFoundation/kompute/pull/174) ([axsaucedo](https://github.com/axsaucedo))
- Added destructor for staging tensors [\#134](https://github.com/KomputeFoundation/kompute/pull/134) ([axsaucedo](https://github.com/axsaucedo))
+- push\_constant not working in my case? [\#168](https://github.com/KomputeProject/kompute/issues/168)
+- DescriptorPool set is not being freed [\#155](https://github.com/KomputeProject/kompute/issues/155)
+- Updated memory barriers to include staging buffers [\#182](https://github.com/KomputeProject/kompute/pull/182) ([axsaucedo](https://github.com/axsaucedo))
+- Adds push const ranges in pipelinelayout to fix \#168 [\#174](https://github.com/KomputeProject/kompute/pull/174) ([axsaucedo](https://github.com/axsaucedo))
+- Added destructor for staging tensors [\#134](https://github.com/KomputeProject/kompute/pull/134) ([axsaucedo](https://github.com/axsaucedo))

 **Closed issues:**

- Update memory barriers to align with tensor staging/primary memory revamp [\#181](https://github.com/KomputeFoundation/kompute/issues/181)
- Move shader defaultResource inside kp_test_utils::Shader class [\#175](https://github.com/KomputeFoundation/kompute/issues/175)
- Reach at least 90% code coverage on tests [\#170](https://github.com/KomputeFoundation/kompute/issues/170)
- Add functionality to re-record sequence as now it's possible to update the underlying algorithm [\#169](https://github.com/KomputeFoundation/kompute/issues/169)
- Use numpy arrays as default return value [\#166](https://github.com/KomputeFoundation/kompute/issues/166)
- Update all shared\_ptr value passes to be by ref or const ref [\#161](https://github.com/KomputeFoundation/kompute/issues/161)
- Amend memory hierarchy for kp::Operations so they can be created separately [\#160](https://github.com/KomputeFoundation/kompute/issues/160)
- Customise theme of documentation [\#156](https://github.com/KomputeFoundation/kompute/issues/156)
- Remove KomputeWorkgroup class in favour of std::array\<uint32\_t, 3\> [\#152](https://github.com/KomputeFoundation/kompute/issues/152)
- Passing raw GLSL string to Shader Module depricated so remove this method from supported approach [\#150](https://github.com/KomputeFoundation/kompute/issues/150)
- Add python backwards compatibility for eval\_tensor\_create\_def [\#147](https://github.com/KomputeFoundation/kompute/issues/147)
- Document breaking changes for 0.7.0 [\#140](https://github.com/KomputeFoundation/kompute/issues/140)
- Tensor memory management and memory hierarchy redesign [\#136](https://github.com/KomputeFoundation/kompute/issues/136)
- Staging tensor GPU memory is not freed as part of OpCreateTensor removal [\#133](https://github.com/KomputeFoundation/kompute/issues/133)
- eStorage Tensors are currently unusable as OpTensorCreate calls mapDataIntoHostMemory [\#132](https://github.com/KomputeFoundation/kompute/issues/132)
- 0.6.0 Release [\#126](https://github.com/KomputeFoundation/kompute/issues/126)
- java.lang.UnsatisfiedLinkError: dlopen failed: library "libkompute-jni.so" not found [\#125](https://github.com/KomputeFoundation/kompute/issues/125)
- Initial exploration: Include explicit GLSL to SPIRV compilation [\#107](https://github.com/KomputeFoundation/kompute/issues/107)
- Add support for push constants [\#106](https://github.com/KomputeFoundation/kompute/issues/106)
+- Update memory barriers to align with tensor staging/primary memory revamp [\#181](https://github.com/KomputeProject/kompute/issues/181)
+- Move shader defaultResource inside kp_test_utils::Shader class [\#175](https://github.com/KomputeProject/kompute/issues/175)
+- Reach at least 90% code coverage on tests [\#170](https://github.com/KomputeProject/kompute/issues/170)
+- Add functionality to re-record sequence as now it's possible to update the underlying algorithm [\#169](https://github.com/KomputeProject/kompute/issues/169)
+- Use numpy arrays as default return value [\#166](https://github.com/KomputeProject/kompute/issues/166)
+- Update all shared\_ptr value passes to be by ref or const ref [\#161](https://github.com/KomputeProject/kompute/issues/161)
+- Amend memory hierarchy for kp::Operations so they can be created separately [\#160](https://github.com/KomputeProject/kompute/issues/160)
+- Customise theme of documentation [\#156](https://github.com/KomputeProject/kompute/issues/156)
+- Remove KomputeWorkgroup class in favour of std::array\<uint32\_t, 3\> [\#152](https://github.com/KomputeProject/kompute/issues/152)
+- Passing raw GLSL string to Shader Module depricated so remove this method from supported approach [\#150](https://github.com/KomputeProject/kompute/issues/150)
+- Add python backwards compatibility for eval\_tensor\_create\_def [\#147](https://github.com/KomputeProject/kompute/issues/147)
+- Document breaking changes for 0.7.0 [\#140](https://github.com/KomputeProject/kompute/issues/140)
+- Tensor memory management and memory hierarchy redesign [\#136](https://github.com/KomputeProject/kompute/issues/136)
+- Staging tensor GPU memory is not freed as part of OpCreateTensor removal [\#133](https://github.com/KomputeProject/kompute/issues/133)
+- eStorage Tensors are currently unusable as OpTensorCreate calls mapDataIntoHostMemory [\#132](https://github.com/KomputeProject/kompute/issues/132)
+- 0.6.0 Release [\#126](https://github.com/KomputeProject/kompute/issues/126)
+- java.lang.UnsatisfiedLinkError: dlopen failed: library "libkompute-jni.so" not found [\#125](https://github.com/KomputeProject/kompute/issues/125)
+- Initial exploration: Include explicit GLSL to SPIRV compilation [\#107](https://github.com/KomputeProject/kompute/issues/107)
+- Add support for push constants [\#106](https://github.com/KomputeProject/kompute/issues/106)

 **Merged pull requests:**

- Resolve moving all functions from tensor HPP to CPP [\#186](https://github.com/KomputeFoundation/kompute/pull/186) ([axsaucedo](https://github.com/axsaucedo))
- Device Properties [\#184](https://github.com/KomputeFoundation/kompute/pull/184) ([alexander-g](https://github.com/alexander-g))
- Too many warnings [\#183](https://github.com/KomputeFoundation/kompute/pull/183) ([alexander-g](https://github.com/alexander-g))
- Add support for bool, double, int32, uint32 and float32 on Tensors via TensorT [\#177](https://github.com/KomputeFoundation/kompute/pull/177) ([axsaucedo](https://github.com/axsaucedo))
- Support for Timestamping [\#176](https://github.com/KomputeFoundation/kompute/pull/176) ([alexander-g](https://github.com/alexander-g))
- Test for ShaderResources [\#165](https://github.com/KomputeFoundation/kompute/pull/165) ([aliPMPAINT](https://github.com/aliPMPAINT))
- Amend memory hierarchy to enable for push constants and functional interface for more flexible operations [\#164](https://github.com/KomputeFoundation/kompute/pull/164) ([axsaucedo](https://github.com/axsaucedo))
- made changes for include paths for complete installation [\#163](https://github.com/KomputeFoundation/kompute/pull/163) ([aliPMPAINT](https://github.com/aliPMPAINT))
- Added dark mode on docs [\#157](https://github.com/KomputeFoundation/kompute/pull/157) ([axsaucedo](https://github.com/axsaucedo))
- Glslang implementation for online shader compilation [\#154](https://github.com/KomputeFoundation/kompute/pull/154) ([axsaucedo](https://github.com/axsaucedo))
- Adding test code coverage using gcov and lcov [\#149](https://github.com/KomputeFoundation/kompute/pull/149) ([axsaucedo](https://github.com/axsaucedo))
- Added temporary backwards compatibility for eval\_tensor\_create\_def function [\#148](https://github.com/KomputeFoundation/kompute/pull/148) ([axsaucedo](https://github.com/axsaucedo))
- Amend memory ownership hierarchy to have Tensor owned by Manager instead of OpCreateTensor / OpBase [\#138](https://github.com/KomputeFoundation/kompute/pull/138) ([axsaucedo](https://github.com/axsaucedo))
- Removed Staging Tensors in favour of having two buffer & memory in a Tensor to minimise data transfer [\#137](https://github.com/KomputeFoundation/kompute/pull/137) ([axsaucedo](https://github.com/axsaucedo))
+- Resolve moving all functions from tensor HPP to CPP [\#186](https://github.com/KomputeProject/kompute/pull/186) ([axsaucedo](https://github.com/axsaucedo))
+- Device Properties [\#184](https://github.com/KomputeProject/kompute/pull/184) ([alexander-g](https://github.com/alexander-g))
+- Too many warnings [\#183](https://github.com/KomputeProject/kompute/pull/183) ([alexander-g](https://github.com/alexander-g))
+- Add support for bool, double, int32, uint32 and float32 on Tensors via TensorT [\#177](https://github.com/KomputeProject/kompute/pull/177) ([axsaucedo](https://github.com/axsaucedo))
+- Support for Timestamping [\#176](https://github.com/KomputeProject/kompute/pull/176) ([alexander-g](https://github.com/alexander-g))
+- Test for ShaderResources [\#165](https://github.com/KomputeProject/kompute/pull/165) ([aliPMPAINT](https://github.com/aliPMPAINT))
+- Amend memory hierarchy to enable for push constants and functional interface for more flexible operations [\#164](https://github.com/KomputeProject/kompute/pull/164) ([axsaucedo](https://github.com/axsaucedo))
+- made changes for include paths for complete installation [\#163](https://github.com/KomputeProject/kompute/pull/163) ([aliPMPAINT](https://github.com/aliPMPAINT))
+- Added dark mode on docs [\#157](https://github.com/KomputeProject/kompute/pull/157) ([axsaucedo](https://github.com/axsaucedo))
+- Glslang implementation for online shader compilation [\#154](https://github.com/KomputeProject/kompute/pull/154) ([axsaucedo](https://github.com/axsaucedo))
+- Adding test code coverage using gcov and lcov [\#149](https://github.com/KomputeProject/kompute/pull/149) ([axsaucedo](https://github.com/axsaucedo))
+- Added temporary backwards compatibility for eval\_tensor\_create\_def function [\#148](https://github.com/KomputeProject/kompute/pull/148) ([axsaucedo](https://github.com/axsaucedo))
+- Amend memory ownership hierarchy to have Tensor owned by Manager instead of OpCreateTensor / OpBase [\#138](https://github.com/KomputeProject/kompute/pull/138) ([axsaucedo](https://github.com/axsaucedo))
+- Removed Staging Tensors in favour of having two buffer & memory in a Tensor to minimise data transfer [\#137](https://github.com/KomputeProject/kompute/pull/137) ([axsaucedo](https://github.com/axsaucedo))

-## [v0.6.0](https://github.com/KomputeFoundation/kompute/tree/v0.6.0) (2021-01-31)
+## [v0.6.0](https://github.com/KomputeProject/kompute/tree/v0.6.0) (2021-01-31)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.5.1...v0.6.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.5.1...v0.6.0)

 **Implemented enhancements:**

- Add simple test for Python `log\_level` function [\#120](https://github.com/KomputeFoundation/kompute/issues/120)
- Add further numpy support [\#104](https://github.com/KomputeFoundation/kompute/issues/104)
- SWIG syntax error - change order of keywords. [\#94](https://github.com/KomputeFoundation/kompute/issues/94)
- Create mocks to isolate unit tests for components [\#8](https://github.com/KomputeFoundation/kompute/issues/8)
- Disallowing zero sized tensors [\#129](https://github.com/KomputeFoundation/kompute/pull/129) ([alexander-g](https://github.com/alexander-g))
- Added further tests to CI and provide Dockerimage with builds to swiftshader [\#119](https://github.com/KomputeFoundation/kompute/pull/119) ([axsaucedo](https://github.com/axsaucedo))
- Workgroups for Python [\#116](https://github.com/KomputeFoundation/kompute/pull/116) ([alexander-g](https://github.com/alexander-g))
- Ubuntu CI [\#115](https://github.com/KomputeFoundation/kompute/pull/115) ([alexander-g](https://github.com/alexander-g))
- Faster set\_data\(\) [\#109](https://github.com/KomputeFoundation/kompute/pull/109) ([alexander-g](https://github.com/alexander-g))
- String parameter for eval\_algo\_str methods in Python [\#105](https://github.com/KomputeFoundation/kompute/pull/105) ([alexander-g](https://github.com/alexander-g))
- Added numpy\(\) method [\#103](https://github.com/KomputeFoundation/kompute/pull/103) ([alexander-g](https://github.com/alexander-g))
+- Add simple test for Python `log\_level` function [\#120](https://github.com/KomputeProject/kompute/issues/120)
+- Add further numpy support [\#104](https://github.com/KomputeProject/kompute/issues/104)
+- SWIG syntax error - change order of keywords. [\#94](https://github.com/KomputeProject/kompute/issues/94)
+- Create mocks to isolate unit tests for components [\#8](https://github.com/KomputeProject/kompute/issues/8)
+- Disallowing zero sized tensors [\#129](https://github.com/KomputeProject/kompute/pull/129) ([alexander-g](https://github.com/alexander-g))
+- Added further tests to CI and provide Dockerimage with builds to swiftshader [\#119](https://github.com/KomputeProject/kompute/pull/119) ([axsaucedo](https://github.com/axsaucedo))
+- Workgroups for Python [\#116](https://github.com/KomputeProject/kompute/pull/116) ([alexander-g](https://github.com/alexander-g))
+- Ubuntu CI [\#115](https://github.com/KomputeProject/kompute/pull/115) ([alexander-g](https://github.com/alexander-g))
+- Faster set\_data\(\) [\#109](https://github.com/KomputeProject/kompute/pull/109) ([alexander-g](https://github.com/alexander-g))
+- String parameter for eval\_algo\_str methods in Python [\#105](https://github.com/KomputeProject/kompute/pull/105) ([alexander-g](https://github.com/alexander-g))
+- Added numpy\(\) method [\#103](https://github.com/KomputeProject/kompute/pull/103) ([alexander-g](https://github.com/alexander-g))

 **Fixed bugs:**

- \[PYTHON\] Support string parameter instead of list for eval\_algo\_data when passing raw shader as string [\#93](https://github.com/KomputeFoundation/kompute/issues/93)
- \[PYTHON\] Fix log\_level on the python implementation \(using pybind's logging functions\) [\#92](https://github.com/KomputeFoundation/kompute/issues/92)
+- \[PYTHON\] Support string parameter instead of list for eval\_algo\_data when passing raw shader as string [\#93](https://github.com/KomputeProject/kompute/issues/93)
+- \[PYTHON\] Fix log\_level on the python implementation \(using pybind's logging functions\) [\#92](https://github.com/KomputeProject/kompute/issues/92)

 **Closed issues:**

- Add documentation for custom operations [\#128](https://github.com/KomputeFoundation/kompute/issues/128)
- Numpy Array Support and Work Group Configuration in Python Kompute [\#124](https://github.com/KomputeFoundation/kompute/issues/124)
- Remove references to spdlog in python module [\#122](https://github.com/KomputeFoundation/kompute/issues/122)
- Setup automated CI testing for PRs using GitHub actions [\#114](https://github.com/KomputeFoundation/kompute/issues/114)
- Python example type error \(pyshader\). [\#111](https://github.com/KomputeFoundation/kompute/issues/111)
- Update all references to operations to not use template [\#101](https://github.com/KomputeFoundation/kompute/issues/101)
- Getting a undefined reference error while creating a Kompute Manager [\#100](https://github.com/KomputeFoundation/kompute/issues/100)
+- Add documentation for custom operations [\#128](https://github.com/KomputeProject/kompute/issues/128)
+- Numpy Array Support and Work Group Configuration in Python Kompute [\#124](https://github.com/KomputeProject/kompute/issues/124)
+- Remove references to spdlog in python module [\#122](https://github.com/KomputeProject/kompute/issues/122)
+- Setup automated CI testing for PRs using GitHub actions [\#114](https://github.com/KomputeProject/kompute/issues/114)
+- Python example type error \(pyshader\). [\#111](https://github.com/KomputeProject/kompute/issues/111)
+- Update all references to operations to not use template [\#101](https://github.com/KomputeProject/kompute/issues/101)
+- Getting a undefined reference error while creating a Kompute Manager [\#100](https://github.com/KomputeProject/kompute/issues/100)

 **Merged pull requests:**

- 122 remove spdlog references in python [\#123](https://github.com/KomputeFoundation/kompute/pull/123) ([axsaucedo](https://github.com/axsaucedo))
- Native logging for Python [\#118](https://github.com/KomputeFoundation/kompute/pull/118) ([alexander-g](https://github.com/alexander-g))
- Fixes for the c++ Simple and Extended examples in readme [\#108](https://github.com/KomputeFoundation/kompute/pull/108) ([aliPMPAINT](https://github.com/aliPMPAINT))
- Fix building shaders on native linux [\#102](https://github.com/KomputeFoundation/kompute/pull/102) ([aliPMPAINT](https://github.com/aliPMPAINT))
+- 122 remove spdlog references in python [\#123](https://github.com/KomputeProject/kompute/pull/123) ([axsaucedo](https://github.com/axsaucedo))
+- Native logging for Python [\#118](https://github.com/KomputeProject/kompute/pull/118) ([alexander-g](https://github.com/alexander-g))
+- Fixes for the c++ Simple and Extended examples in readme [\#108](https://github.com/KomputeProject/kompute/pull/108) ([aliPMPAINT](https://github.com/aliPMPAINT))
+- Fix building shaders on native linux [\#102](https://github.com/KomputeProject/kompute/pull/102) ([aliPMPAINT](https://github.com/aliPMPAINT))

-## [v0.5.1](https://github.com/KomputeFoundation/kompute/tree/v0.5.1) (2020-11-12)
+## [v0.5.1](https://github.com/KomputeProject/kompute/tree/v0.5.1) (2020-11-12)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.5.0...v0.5.1)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.5.0...v0.5.1)

 **Implemented enhancements:**

- Remove the template params from OpAlgoBase for dispatch layout [\#57](https://github.com/KomputeFoundation/kompute/issues/57)
- Enable layout to be configured dynamically within shaders [\#26](https://github.com/KomputeFoundation/kompute/issues/26)
- replaced "static unsigned const" to "static const unsigned" to avoid SWIG parsing error. [\#95](https://github.com/KomputeFoundation/kompute/pull/95) ([0x0f0f0f](https://github.com/0x0f0f0f))
+- Remove the template params from OpAlgoBase for dispatch layout [\#57](https://github.com/KomputeProject/kompute/issues/57)
+- Enable layout to be configured dynamically within shaders [\#26](https://github.com/KomputeProject/kompute/issues/26)
+- replaced "static unsigned const" to "static const unsigned" to avoid SWIG parsing error. [\#95](https://github.com/KomputeProject/kompute/pull/95) ([0x0f0f0f](https://github.com/0x0f0f0f))

 **Closed issues:**

- Support for MoltenVK? [\#96](https://github.com/KomputeFoundation/kompute/issues/96)
- Update all examples to use spir-v bytes by default [\#86](https://github.com/KomputeFoundation/kompute/issues/86)
+- Support for MoltenVK? [\#96](https://github.com/KomputeProject/kompute/issues/96)
+- Update all examples to use spir-v bytes by default [\#86](https://github.com/KomputeProject/kompute/issues/86)

 **Merged pull requests:**

- Python extensions for end to end example [\#97](https://github.com/KomputeFoundation/kompute/pull/97) ([axsaucedo](https://github.com/axsaucedo))
+- Python extensions for end to end example [\#97](https://github.com/KomputeProject/kompute/pull/97) ([axsaucedo](https://github.com/axsaucedo))

-## [v0.5.0](https://github.com/KomputeFoundation/kompute/tree/v0.5.0) (2020-11-08)
+## [v0.5.0](https://github.com/KomputeProject/kompute/tree/v0.5.0) (2020-11-08)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.4.1...v0.5.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.4.1...v0.5.0)

 **Implemented enhancements:**

- Adding Python package for Kompute [\#87](https://github.com/KomputeFoundation/kompute/issues/87)
- Python shader extension [\#91](https://github.com/KomputeFoundation/kompute/pull/91) ([axsaucedo](https://github.com/axsaucedo))
- Enhanced python build [\#89](https://github.com/KomputeFoundation/kompute/pull/89) ([axsaucedo](https://github.com/axsaucedo))
- Added python bindings with kp as python module  [\#88](https://github.com/KomputeFoundation/kompute/pull/88) ([axsaucedo](https://github.com/axsaucedo))
+- Adding Python package for Kompute [\#87](https://github.com/KomputeProject/kompute/issues/87)
+- Python shader extension [\#91](https://github.com/KomputeProject/kompute/pull/91) ([axsaucedo](https://github.com/axsaucedo))
+- Enhanced python build [\#89](https://github.com/KomputeProject/kompute/pull/89) ([axsaucedo](https://github.com/axsaucedo))
+- Added python bindings with kp as python module  [\#88](https://github.com/KomputeProject/kompute/pull/88) ([axsaucedo](https://github.com/axsaucedo))

 **Closed issues:**

- Examples segfault \(Linux / mesa / amdgpu\) [\#84](https://github.com/KomputeFoundation/kompute/issues/84)
- Kompute support for newer Vulkan HPP headers [\#81](https://github.com/KomputeFoundation/kompute/issues/81)
+- Examples segfault \(Linux / mesa / amdgpu\) [\#84](https://github.com/KomputeProject/kompute/issues/84)
+- Kompute support for newer Vulkan HPP headers [\#81](https://github.com/KomputeProject/kompute/issues/81)

-## [v0.4.1](https://github.com/KomputeFoundation/kompute/tree/v0.4.1) (2020-11-01)
+## [v0.4.1](https://github.com/KomputeProject/kompute/tree/v0.4.1) (2020-11-01)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.4.0...v0.4.1)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.4.0...v0.4.1)

 **Implemented enhancements:**

- Upgrade build to support VulkanHPP 1.2.154 \< 1.2.158 [\#82](https://github.com/KomputeFoundation/kompute/issues/82)
- Add Android example for Kompute [\#23](https://github.com/KomputeFoundation/kompute/issues/23)
- Fix compatibility for Vulkan HPP 1.2.155 and above [\#83](https://github.com/KomputeFoundation/kompute/pull/83) ([axsaucedo](https://github.com/axsaucedo))
- codespell spelling fixes [\#80](https://github.com/KomputeFoundation/kompute/pull/80) ([pH5](https://github.com/pH5))
+- Upgrade build to support VulkanHPP 1.2.154 \< 1.2.158 [\#82](https://github.com/KomputeProject/kompute/issues/82)
+- Add Android example for Kompute [\#23](https://github.com/KomputeProject/kompute/issues/23)
+- Fix compatibility for Vulkan HPP 1.2.155 and above [\#83](https://github.com/KomputeProject/kompute/pull/83) ([axsaucedo](https://github.com/axsaucedo))
+- codespell spelling fixes [\#80](https://github.com/KomputeProject/kompute/pull/80) ([pH5](https://github.com/pH5))

 **Closed issues:**

- Android example throws runtime error.  [\#77](https://github.com/KomputeFoundation/kompute/issues/77)
- Document the utilities to convert shaders into C++ header files [\#53](https://github.com/KomputeFoundation/kompute/issues/53)
- Document the three types of memory ownership in classes - never, optional and always [\#31](https://github.com/KomputeFoundation/kompute/issues/31)
+- Android example throws runtime error.  [\#77](https://github.com/KomputeProject/kompute/issues/77)
+- Document the utilities to convert shaders into C++ header files [\#53](https://github.com/KomputeProject/kompute/issues/53)
+- Document the three types of memory ownership in classes - never, optional and always [\#31](https://github.com/KomputeProject/kompute/issues/31)

 **Merged pull requests:**

- Add link to official Vulkan website to download the SDK [\#79](https://github.com/KomputeFoundation/kompute/pull/79) ([DonaldWhyte](https://github.com/DonaldWhyte))
- 77 Fix end to end examples by creating tensors on separate sequence [\#78](https://github.com/KomputeFoundation/kompute/pull/78) ([axsaucedo](https://github.com/axsaucedo))
+- Add link to official Vulkan website to download the SDK [\#79](https://github.com/KomputeProject/kompute/pull/79) ([DonaldWhyte](https://github.com/DonaldWhyte))
+- 77 Fix end to end examples by creating tensors on separate sequence [\#78](https://github.com/KomputeProject/kompute/pull/78) ([axsaucedo](https://github.com/axsaucedo))

-## [v0.4.0](https://github.com/KomputeFoundation/kompute/tree/v0.4.0) (2020-10-18)
+## [v0.4.0](https://github.com/KomputeProject/kompute/tree/v0.4.0) (2020-10-18)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.3.2...v0.4.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.3.2...v0.4.0)

 **Implemented enhancements:**

- Error compiling on ubuntu 20.04 [\#67](https://github.com/KomputeFoundation/kompute/issues/67)
- Add explicit multi-threading interfaces to ensure correctness when running in parallel [\#51](https://github.com/KomputeFoundation/kompute/issues/51)
+- Error compiling on ubuntu 20.04 [\#67](https://github.com/KomputeProject/kompute/issues/67)
+- Add explicit multi-threading interfaces to ensure correctness when running in parallel [\#51](https://github.com/KomputeProject/kompute/issues/51)

 **Fixed bugs:**

- Ensure sequences are cleared when begin is run [\#74](https://github.com/KomputeFoundation/kompute/issues/74)
+- Ensure sequences are cleared when begin is run [\#74](https://github.com/KomputeProject/kompute/issues/74)

 **Merged pull requests:**

- 74 Fixing manager default sequence creation [\#75](https://github.com/KomputeFoundation/kompute/pull/75) ([axsaucedo](https://github.com/axsaucedo))
- Adding Asynchronous Processing Capabilities with Multiple Queue Support [\#73](https://github.com/KomputeFoundation/kompute/pull/73) ([axsaucedo](https://github.com/axsaucedo))
- Fix README typo [\#71](https://github.com/KomputeFoundation/kompute/pull/71) ([nihui](https://github.com/nihui))
+- 74 Fixing manager default sequence creation [\#75](https://github.com/KomputeProject/kompute/pull/75) ([axsaucedo](https://github.com/axsaucedo))
+- Adding Asynchronous Processing Capabilities with Multiple Queue Support [\#73](https://github.com/KomputeProject/kompute/pull/73) ([axsaucedo](https://github.com/axsaucedo))
+- Fix README typo [\#71](https://github.com/KomputeProject/kompute/pull/71) ([nihui](https://github.com/nihui))

-## [v0.3.2](https://github.com/KomputeFoundation/kompute/tree/v0.3.2) (2020-10-04)
+## [v0.3.2](https://github.com/KomputeProject/kompute/tree/v0.3.2) (2020-10-04)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.3.1...v0.3.2)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.3.1...v0.3.2)

 **Implemented enhancements:**

- Fix compiler errors on compilers other than msvc [\#66](https://github.com/KomputeFoundation/kompute/pull/66) ([Dudecake](https://github.com/Dudecake))
+- Fix compiler errors on compilers other than msvc [\#66](https://github.com/KomputeProject/kompute/pull/66) ([Dudecake](https://github.com/Dudecake))

 **Fixed bugs:**

- Fix bug in OpAlgoRhsLhs [\#61](https://github.com/KomputeFoundation/kompute/issues/61)
+- Fix bug in OpAlgoRhsLhs [\#61](https://github.com/KomputeProject/kompute/issues/61)

 **Closed issues:**

- Change c++ to 14 from 17 for support with older frameworks [\#59](https://github.com/KomputeFoundation/kompute/issues/59)
+- Change c++ to 14 from 17 for support with older frameworks [\#59](https://github.com/KomputeProject/kompute/issues/59)

 **Merged pull requests:**

- Updated readme and single kompute for 0.3.2 [\#69](https://github.com/KomputeFoundation/kompute/pull/69) ([axsaucedo](https://github.com/axsaucedo))
- Added android example and upgraded build configurations [\#68](https://github.com/KomputeFoundation/kompute/pull/68) ([axsaucedo](https://github.com/axsaucedo))
- Added readme to explain high level explanation for Godot example [\#65](https://github.com/KomputeFoundation/kompute/pull/65) ([axsaucedo](https://github.com/axsaucedo))
- Removing vulkan dependencies in examples [\#64](https://github.com/KomputeFoundation/kompute/pull/64) ([axsaucedo](https://github.com/axsaucedo))
- Updated godot example to use logistic regression usecase [\#63](https://github.com/KomputeFoundation/kompute/pull/63) ([axsaucedo](https://github.com/axsaucedo))
+- Updated readme and single kompute for 0.3.2 [\#69](https://github.com/KomputeProject/kompute/pull/69) ([axsaucedo](https://github.com/axsaucedo))
+- Added android example and upgraded build configurations [\#68](https://github.com/KomputeProject/kompute/pull/68) ([axsaucedo](https://github.com/axsaucedo))
+- Added readme to explain high level explanation for Godot example [\#65](https://github.com/KomputeProject/kompute/pull/65) ([axsaucedo](https://github.com/axsaucedo))
+- Removing vulkan dependencies in examples [\#64](https://github.com/KomputeProject/kompute/pull/64) ([axsaucedo](https://github.com/axsaucedo))
+- Updated godot example to use logistic regression usecase [\#63](https://github.com/KomputeProject/kompute/pull/63) ([axsaucedo](https://github.com/axsaucedo))

-## [v0.3.1](https://github.com/KomputeFoundation/kompute/tree/v0.3.1) (2020-09-20)
+## [v0.3.1](https://github.com/KomputeProject/kompute/tree/v0.3.1) (2020-09-20)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.3.0...v0.3.1)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.3.0...v0.3.1)

 **Implemented enhancements:**

- Add example of how vulkan kompute can be used for ML in Godot Game Engine [\#60](https://github.com/KomputeFoundation/kompute/issues/60)
+- Add example of how vulkan kompute can be used for ML in Godot Game Engine [\#60](https://github.com/KomputeProject/kompute/issues/60)

 **Merged pull requests:**

- Adding godot example [\#62](https://github.com/KomputeFoundation/kompute/pull/62) ([axsaucedo](https://github.com/axsaucedo))
+- Adding godot example [\#62](https://github.com/KomputeProject/kompute/pull/62) ([axsaucedo](https://github.com/axsaucedo))

-## [v0.3.0](https://github.com/KomputeFoundation/kompute/tree/v0.3.0) (2020-09-19)
+## [v0.3.0](https://github.com/KomputeProject/kompute/tree/v0.3.0) (2020-09-19)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/0.3.0...v0.3.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/0.3.0...v0.3.0)

 **Implemented enhancements:**

- Make Kompute installable locally to work with examples [\#58](https://github.com/KomputeFoundation/kompute/issues/58)
- Remove ability to copy output parameters from OpAlgoBase now that there's OpTensorSync [\#56](https://github.com/KomputeFoundation/kompute/issues/56)
+- Make Kompute installable locally to work with examples [\#58](https://github.com/KomputeProject/kompute/issues/58)
+- Remove ability to copy output parameters from OpAlgoBase now that there's OpTensorSync [\#56](https://github.com/KomputeProject/kompute/issues/56)

-## [0.3.0](https://github.com/KomputeFoundation/kompute/tree/0.3.0) (2020-09-13)
+## [0.3.0](https://github.com/KomputeProject/kompute/tree/0.3.0) (2020-09-13)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.2.0...0.3.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.2.0...0.3.0)

 **Implemented enhancements:**

- Add tests and documentation for loops passing data to/from device [\#50](https://github.com/KomputeFoundation/kompute/issues/50)
- Add preSubmit function to OpBase to account for multiple eval commands in parallel [\#47](https://github.com/KomputeFoundation/kompute/issues/47)
- Remove vulkan commandbuffer from Tensor [\#42](https://github.com/KomputeFoundation/kompute/issues/42)
- Provide further granularity on handling staging tensors [\#40](https://github.com/KomputeFoundation/kompute/issues/40)
- Create operation to copy data from local to device memory with staging [\#39](https://github.com/KomputeFoundation/kompute/issues/39)
- Add more advanced ML implementations \(starting with LR, then DL, etc\) [\#19](https://github.com/KomputeFoundation/kompute/issues/19)
+- Add tests and documentation for loops passing data to/from device [\#50](https://github.com/KomputeProject/kompute/issues/50)
+- Add preSubmit function to OpBase to account for multiple eval commands in parallel [\#47](https://github.com/KomputeProject/kompute/issues/47)
+- Remove vulkan commandbuffer from Tensor [\#42](https://github.com/KomputeProject/kompute/issues/42)
+- Provide further granularity on handling staging tensors [\#40](https://github.com/KomputeProject/kompute/issues/40)
+- Create operation to copy data from local to device memory with staging [\#39](https://github.com/KomputeProject/kompute/issues/39)
+- Add more advanced ML implementations \(starting with LR, then DL, etc\) [\#19](https://github.com/KomputeProject/kompute/issues/19)

 **Fixed bugs:**

- OpCreateTensor doesn't map data into GPU with OpCreateTensor for host tensors [\#43](https://github.com/KomputeFoundation/kompute/issues/43)
+- OpCreateTensor doesn't map data into GPU with OpCreateTensor for host tensors [\#43](https://github.com/KomputeProject/kompute/issues/43)

-## [v0.2.0](https://github.com/KomputeFoundation/kompute/tree/v0.2.0) (2020-09-05)
+## [v0.2.0](https://github.com/KomputeProject/kompute/tree/v0.2.0) (2020-09-05)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/v0.1.0...v0.2.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/v0.1.0...v0.2.0)

 **Implemented enhancements:**

- Migrate to GTest  [\#37](https://github.com/KomputeFoundation/kompute/issues/37)
- Move all todos in the code into github issues [\#33](https://github.com/KomputeFoundation/kompute/issues/33)
- Remove spdlog as a required dependency [\#30](https://github.com/KomputeFoundation/kompute/issues/30)
- Improve access to tensor underlying data for speed and ease of access [\#18](https://github.com/KomputeFoundation/kompute/issues/18)
- Enable for compute shaders to be provided in raw form [\#17](https://github.com/KomputeFoundation/kompute/issues/17)
- Enable OpCreateTensor for more than 1 tensor  [\#13](https://github.com/KomputeFoundation/kompute/issues/13)
- Add specialisation data to algorithm with default tensor size [\#11](https://github.com/KomputeFoundation/kompute/issues/11)
- Add documentation with Doxygen and Sphinx [\#9](https://github.com/KomputeFoundation/kompute/issues/9)
+- Migrate to GTest  [\#37](https://github.com/KomputeProject/kompute/issues/37)
+- Move all todos in the code into github issues [\#33](https://github.com/KomputeProject/kompute/issues/33)
+- Remove spdlog as a required dependency [\#30](https://github.com/KomputeProject/kompute/issues/30)
+- Improve access to tensor underlying data for speed and ease of access [\#18](https://github.com/KomputeProject/kompute/issues/18)
+- Enable for compute shaders to be provided in raw form [\#17](https://github.com/KomputeProject/kompute/issues/17)
+- Enable OpCreateTensor for more than 1 tensor  [\#13](https://github.com/KomputeProject/kompute/issues/13)
+- Add specialisation data to algorithm with default tensor size [\#11](https://github.com/KomputeProject/kompute/issues/11)
+- Add documentation with Doxygen and Sphinx [\#9](https://github.com/KomputeProject/kompute/issues/9)

 **Fixed bugs:**

- Diagnose memory profiling to ensure there are no memory leaks on objects created  \[CPU\] [\#15](https://github.com/KomputeFoundation/kompute/issues/15)
+- Diagnose memory profiling to ensure there are no memory leaks on objects created  \[CPU\] [\#15](https://github.com/KomputeProject/kompute/issues/15)

 **Merged pull requests:**

- Migrating to gtest [\#38](https://github.com/KomputeFoundation/kompute/pull/38) ([axsaucedo](https://github.com/axsaucedo))
+- Migrating to gtest [\#38](https://github.com/KomputeProject/kompute/pull/38) ([axsaucedo](https://github.com/axsaucedo))

-## [v0.1.0](https://github.com/KomputeFoundation/kompute/tree/v0.1.0) (2020-08-28)
+## [v0.1.0](https://github.com/KomputeProject/kompute/tree/v0.1.0) (2020-08-28)

-[Full Changelog](https://github.com/KomputeFoundation/kompute/compare/2879d3d274967e87087d567bcc659804b1707d0a...v0.1.0)
+[Full Changelog](https://github.com/KomputeProject/kompute/compare/2879d3d274967e87087d567bcc659804b1707d0a...v0.1.0)



--- a/2
+++ b/2
@ -204,6 +204,6 @@ static_scan:
 	cppcheck --project=build/compile_commands.json -iexternal/

 build_changelog:
-	docker run --rm -it -v "$(PWD)":/usr/local/src/your-app -e CHANGELOG_GITHUB_TOKEN=${CHANGELOG_GITHUB_TOKEN} ferrarimarco/github-changelog-generator:1.15.2 -u KomputeFoundation -p kompute
+	docker run --rm -it -v "$(PWD)":/usr/local/src/your-app -e CHANGELOG_GITHUB_TOKEN=${CHANGELOG_GITHUB_TOKEN} ferrarimarco/github-changelog-generator:1.15.2 -u KomputeProject -p kompute
 	chmod 664 CHANGELOG.md # (Read+Write, Read+Write, Read)
 	sed -i -e 's/\(HEAD\|Unreleased\)/v${VERSION}/g' CHANGELOG.md # Replacing unreleased version with latest tag
--- a/README.md
+++ b/README.md
@ -10,7 +10,7 @@
 <tr>

 <td width="20%">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute.jpg">
 </td>

 <td>
@ -38,13 +38,13 @@
 * Robust codebase with [90% unit test code coverage](https://kompute.cc/codecov/)
 * Advanced use-cases on [machine learning 🤖](https://towardsdatascience.com/machine-learning-and-data-processing-in-the-gpu-with-vulkan-kompute-c9350e5e5d3a), [mobile development 📱](https://towardsdatascience.com/gpu-accelerated-machine-learning-in-your-mobile-applications-using-the-android-ndk-vulkan-kompute-1e9da37b7617) and [game development 🎮](https://towardsdatascience.com/supercharging-game-development-with-gpu-accelerated-ml-using-vulkan-kompute-the-godot-game-engine-4e75a84ea9f0).

-![](https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/komputer-logos.gif)
+![](https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/komputer-logos.gif)

 ## Getting Started

 Below you can find a GPU multiplication example using the C++ and Python Kompute interfaces.

-You can [join the Discord](https://discord.gg/ywjaBH6v24) for questions/discussion, open a [github issue](https://github.com/KomputeFoundation/kompute/issues/new), or read [the documentation](https://kompute.cc/).
+You can [join the Discord](https://discord.gg/ywjaBH6v24) for questions/discussion, open a [github issue](https://github.com/KomputeProject/kompute/issues/new), or read [the documentation](https://kompute.cc/).

 ### Your First Kompute (C++)

@ -247,13 +247,13 @@ You are able to try out the interactive Colab Notebooks which allow you to use a

 <td width="50%">
 <a href="https://colab.research.google.com/drive/1l3hNSq2AcJ5j2E3YIw__jKy5n6M615GP?authuser=1#scrollTo=1BipBsO-fQRD">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/binder-cpp.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/binder-cpp.jpg">
 </a>
 </td>

 <td>
 <a href="https://colab.research.google.com/drive/15uQ7qMZuOyk8JcXF-3SB2R5yNFW21I4P">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/binder-python.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/binder-python.jpg">
 </a>
 </td>

@ -281,13 +281,13 @@ Both videos have timestamps which will allow you to skip to the most relevant se

 <td width="50%">
 <a href="https://www.youtube.com/watch?v=Xz4fiQNmGSA">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-cpp-video.png">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-cpp-video.png">
 </a>
 </td>

 <td>
 <a href="https://www.youtube.com/watch?v=AJRyZ09IUdg">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-python-video.png">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-python-video.png">
 </a>
 </td>

@ -317,7 +317,7 @@ Simplified Kompute Components
 <td width=30%>


-<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-vulkan-architecture.jpg">
+<img width="100%" src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-vulkan-architecture.jpg">

 <br>
 <br>
@ -325,11 +325,11 @@ Simplified Kompute Components
 <br>
 <br>

-<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/suspicious.jfif">
+<img width="100%" src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/suspicious.jfif">

 </td>
 <td>
-<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-architecture.jpg">
+<img width="100%" src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-architecture.jpg">
 </td>
 </tr>
 </table>
@ -341,11 +341,11 @@ Kompute provides flexibility to run operations in an asynrchonous way through vk

 The image below provides an intuition on how Kompute Sequences can be allocated to different queues to enable parallel execution based on hardware. You can see the [hands on example](https://kompute.cc/overview/advanced-examples.html#parallel-operations), as well as the [detailed documentation page](https://kompute.cc/overview/async-parallel.html) describing how it would work using an NVIDIA 1650 as an example. 

-![](https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/queue-allocation.jpg)
+![](https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/queue-allocation.jpg)

 ## Mobile Enabled

-Kompute has been optimized to work in mobile environments. The [build system](#build-overview) enables for dynamic loading of the Vulkan shared library for Android environments, together with a working [Android NDK wrapper](https://github.com/KomputeFoundation/kompute/tree/master/vk_ndk_wrapper_include) for the CPP headers.
+Kompute has been optimized to work in mobile environments. The [build system](#build-overview) enables for dynamic loading of the Vulkan shared library for Android environments, together with a working [Android NDK wrapper](https://github.com/KomputeProject/kompute/tree/master/vk_ndk_wrapper_include) for the CPP headers.

 <table>
 <tr>
@ -354,18 +354,18 @@ Kompute has been optimized to work in mobile environments. The [build system](#b
 <p>
 For a full deep dive you can read the blog post "<a href="https://towardsdatascience.com/gpu-accelerated-machine-learning-in-your-mobile-applications-using-the-android-ndk-vulkan-kompute-1e9da37b7617">Supercharging your Mobile Apps with On-Device GPU Accelerated Machine Learning</a>". 

-You can also access the <a href="https://github.com/KomputeFoundation/kompute/tree/v0.4.0/examples/android/android-simple">end-to-end example code</a> in the repository, which can be run using android studio.
+You can also access the <a href="https://github.com/KomputeProject/kompute/tree/v0.4.0/examples/android/android-simple">end-to-end example code</a> in the repository, which can be run using android studio.

 </p>


-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/android-example/docs/images/android-editor.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/android-example/docs/images/android-editor.jpg">

 </td>


 <td width="30%">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/android-example/docs/images/android-kompute.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/android-example/docs/images/android-kompute.jpg">
 </td>

 </tr>
@ -402,7 +402,7 @@ pip install kp
 You can also install from master branch using:

 ```
-pip install git+git://github.com/KomputeFoundation/kompute.git@master
+pip install git+git://github.com/KomputeProject/kompute.git@master
 ```

 For further details you can read the [Python Package documentation](https://kompute.cc/overview/python-package.html) or the [Python Class Reference documentation](https://kompute.cc/overview/python-reference.html).
@ -417,7 +417,7 @@ The top level `Makefile` provides a set of optimized configurations for developm
   cmake -Bbuild
 ```

-You also are able to add Kompute in your repo with `add_subdirectory` - the [Android example CMakeLists.txt file](https://github.com/KomputeFoundation/kompute/blob/7c8c0eeba2cdc098349fcd999102bb2cca1bf711/examples/android/android-simple/app/src/main/cpp/CMakeLists.txt#L3) shows how this would be done.
+You also are able to add Kompute in your repo with `add_subdirectory` - the [Android example CMakeLists.txt file](https://github.com/KomputeProject/kompute/blob/7c8c0eeba2cdc098349fcd999102bb2cca1bf711/examples/android/android-simple/app/src/main/cpp/CMakeLists.txt#L3) shows how this would be done.

 For a more advanced overview of the build configuration check out the [Build System Deep Dive](https://kompute.cc/overview/build-system.html) documentation.

--- a/docs/conf.py
+++ b/docs/conf.py
@ -73,7 +73,7 @@ if html_theme == 'sphinx_material':
        'base_url': 'https://kompute.cc',
        'color_primary': 'red',
        'color_accent': 'light-blue',
-        'repo_url': 'https://github.com/KomputeFoundation/kompute/',
+        'repo_url': 'https://github.com/KomputeProject/kompute/',
        'repo_name': 'Kompute',
        'globaltoc_depth': 2,
        'globaltoc_collapse': False,
@ -81,7 +81,7 @@ if html_theme == 'sphinx_material':
        "repo_type": "github",
        "nav_links": [
            {
-                "href": "https://github.com/KomputeFoundation/kompute/",
+                "href": "https://github.com/KomputeProject/kompute/",
                "internal": False,
                "title": "Kompute Repo",
            },
--- a/docs/overview/advanced-examples.rst
+++ b/docs/overview/advanced-examples.rst
@ -87,7 +87,7 @@ Your Custom Kompute Operation

 Build your own pre-compiled operations for domain specific workflows. Back to `examples list <#simple-examples>`_

-We also provide tools that allow you to `convert shaders into C++ headers <https://github.com/KomputeFoundation/kompute/blob/master/scripts/convert_shaders.py#L40>`_.
+We also provide tools that allow you to `convert shaders into C++ headers <https://github.com/KomputeProject/kompute/blob/master/scripts/convert_shaders.py#L40>`_.

 .. code-block:: cpp
   :linenos:
--- a/docs/overview/build-system.rst
+++ b/docs/overview/build-system.rst
@ -79,11 +79,11 @@ Other CMake Flags
   * - Flag
     - Description
   * - -DPYTHON_INCLUDE_DIR
-     - Path to where Python.h is found, used for specifying installation of Python (see `this PR <https://github.com/KomputeFoundation/kompute/pull/222>`_)
+     - Path to where Python.h is found, used for specifying installation of Python (see `this PR <https://github.com/KomputeProject/kompute/pull/222>`_)
   * - -DPYTHON_LIBRARY
-     - Path to the Python library, used for specifying installation of Python (see `this PR <https://github.com/KomputeFoundation/kompute/pull/222>`_)
+     - Path to the Python library, used for specifying installation of Python (see `this PR <https://github.com/KomputeProject/kompute/pull/222>`_)
   * - -DCMAKE_OSX_ARCHITECTURES
-     - Specifies the target architecture for Apple platforms (see `this issue <https://github.com/KomputeFoundation/kompute/issues/223>`_)
+     - Specifies the target architecture for Apple platforms (see `this issue <https://github.com/KomputeProject/kompute/issues/223>`_)

 Dependencies
 ^^^^^^^^^^^^
--- a/docs/overview/ci-tests.rst
+++ b/docs/overview/ci-tests.rst
@ -26,8 +26,8 @@ The simplest way to see how this works is by looking at the github actions comma

 These can be found through the following files:

-* `CPP Tests <https://github.com/KomputeFoundation/kompute/blob/master/.github/workflows/cpp_tests.yml>`_
-* `Python Tests <https://github.com/KomputeFoundation/kompute/blob/master/.github/workflows/python_tests.yml>`_
+* `CPP Tests <https://github.com/KomputeProject/kompute/blob/master/.github/workflows/cpp_tests.yml>`_
+* `Python Tests <https://github.com/KomputeProject/kompute/blob/master/.github/workflows/python_tests.yml>`_

 When submitting a PR or merging a PR into master, both of these will run - you can see the logs through the github interface.

--- a/docs/overview/python-package.rst
+++ b/docs/overview/python-package.rst
@ -28,7 +28,7 @@ You can also install from master branch using:

 .. code-block:: python

-    pip install git+git://github.com/KomputeFoundation/kompute.git@master
+    pip install git+git://github.com/KomputeProject/kompute.git@master


 Core Python Components
--- a/docs/overview/shaders-to-headers.rst
+++ b/docs/overview/shaders-to-headers.rst
@ -6,7 +6,7 @@ Processing Shaders with Kompute
 Demo / testing function to compile shaders
 ----------------------------------

-GLSLANG was initially integrated as part of the framework but it now has been removed due to the license of the glslang pre-processor being under a custom NVIDIA license which explicitly excludes grant of any licenses to NVIDIA's patents in the preprocessor. This is covered in more detail here: https://github.com/KomputeFoundation/kompute/pull/235
+GLSLANG was initially integrated as part of the framework but it now has been removed due to the license of the glslang pre-processor being under a custom NVIDIA license which explicitly excludes grant of any licenses to NVIDIA's patents in the preprocessor. This is covered in more detail here: https://github.com/KomputeProject/kompute/pull/235

 For users that are looking to quickly test the processors it is possible to use the function that is provided in the examples which provides a (non-thread-safe / non-robust) implementation that compiles a shader string into spirv bytes. It is not recommended to use in production but it does enable for faster iteration cycles during development.

@ -32,7 +32,7 @@ Kompute allows for shaders to be loaded directly through the :class:`kp::OpAlgoB

 The Kompute codebase has a utility that allows you to convert shader files into C++ header files containing the SPIRV header data. This is useful as it enables developers to compile the SPIRV shaders into the final binary, which avoids the need for multiple files being required.

-The utility can be found under `scripts/convert_shaders.py <https://github.com/KomputeFoundation/kompute/blob/master/scripts/convert_shaders.py>`_ and consists primarily of a Python CLI that can be called to pass arguments.
+The utility can be found under `scripts/convert_shaders.py <https://github.com/KomputeProject/kompute/blob/master/scripts/convert_shaders.py>`_ and consists primarily of a Python CLI that can be called to pass arguments.

 In order to use this Python utility, you will have to first install the dependencies outlined by the `scripts/requirements.txt` file. You will need to have python 3 and pip3 installed.

@ -67,6 +67,6 @@ You can run `python3 scripts/convert_shaders.py --help` to see all the options a
      -v, --verbose             Enable versbosity if flag is provided
      --help                    Show this message and exit.

-You can see the command that converts the shaders `in the makefile <https://github.com/KomputeFoundation/kompute/blob/45ddfe524b9ed63c5fe1fc33773c8f93a18e2fac/Makefile#L143>`_ to get an idea of how you would be able to use this utility.
+You can see the command that converts the shaders `in the makefile <https://github.com/KomputeProject/kompute/blob/45ddfe524b9ed63c5fe1fc33773c8f93a18e2fac/Makefile#L143>`_ to get an idea of how you would be able to use this utility.


--- a/examples/android/android-simple/README.md
+++ b/examples/android/android-simple/README.md
@ -19,13 +19,13 @@ The build structure provides a range of options to build in different Android ha

 <br>

-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/android-example/docs/images/android-editor.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/android-example/docs/images/android-editor.jpg">

 </td>


 <td width="30%">
-<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/android-example/docs/images/android-kompute.jpg">
+<img src="https://raw.githubusercontent.com/KomputeProject/kompute/android-example/docs/images/android-kompute.jpg">
 </td>

 </tr>
--- a/examples/godot_examples/README.md
+++ b/examples/godot_examples/README.md
@ -1,6 +1,6 @@
 # Godot Summator GPU Kompute Example

-![](https://github.com/KomputeFoundation/kompute/raw/master/docs/images/komputer-godot-4.gif)
+![](https://github.com/KomputeProject/kompute/raw/master/docs/images/komputer-godot-4.gif)

 This repository contains the accompanying code for the Blog post ["Supercharging Game Development with GPU Accelerated Machine Learning"](https://medium.com/@AxSaucedo/supercharging-game-development-with-gpu-accelerated-ml-using-vulkan-kompute-the-godot-game-engine-4e75a84ea9f0).

--- a/examples/godot_examples/custom_module/README.md
+++ b/examples/godot_examples/custom_module/README.md
@ -1,6 +1,6 @@
 # Kompute Godot Example

-![](https://github.com/KomputeFoundation/kompute/raw/master/docs/images/komputer-godot-4.gif)
+![](https://github.com/KomputeProject/kompute/raw/master/docs/images/komputer-godot-4.gif)

 ## Set Up Dependencies

@ -19,7 +19,7 @@ We will be using v0.3.1 of Kompute, and similar to above we will need the built
 We can start by cloning the repository on the v0.3.1 branch:

 ```
-git clone --branch v0.3.1 https://github.com/KomputeFoundation/kompute/
+git clone --branch v0.3.1 https://github.com/KomputeProject/kompute/
 ```

 You will be able to use cmake to generate the build files for your platform.
--- a/examples/godot_examples/gdnative_shared/README.md
+++ b/examples/godot_examples/gdnative_shared/README.md
@ -1,6 +1,6 @@
 # Kompute Godot Example

-![](https://github.com/KomputeFoundation/kompute/raw/master/docs/images/komputer-godot-4.gif)
+![](https://github.com/KomputeProject/kompute/raw/master/docs/images/komputer-godot-4.gif)

 ## Set Up Dependencies

--- a/examples/godot_logistic_regression/README.md
+++ b/examples/godot_logistic_regression/README.md
@ -1,7 +1,7 @@

 # Kompute Game Engine Integration (Godot)

-![](https://github.com/KomputeFoundation/kompute/raw/master/docs/images/komputer-godot-4.gif)
+![](https://github.com/KomputeProject/kompute/raw/master/docs/images/komputer-godot-4.gif)

 This repository contains the accompanying code for the Blog post ["Supercharging Game Development with GPU Accelerated Machine Learning"](https://medium.com/@AxSaucedo/supercharging-game-development-with-gpu-accelerated-ml-using-vulkan-kompute-the-godot-game-engine-4e75a84ea9f0).

--- a/examples/godot_logistic_regression/custom_module/README.md
+++ b/examples/godot_logistic_regression/custom_module/README.md
@ -5,7 +5,7 @@ This is the accompanying code for the Blog post ["Supercharging Game Development

 This section contains the implementation of the Kompute module as a statically compile module built with the Godot engine source code. This approach requires re-compiling the Godot engine source code.

-![](https://github.com/KomputeFoundation/kompute/raw/master/docs/images/komputer-godot-4.gif)
+![](https://github.com/KomputeProject/kompute/raw/master/docs/images/komputer-godot-4.gif)

 ## Set Up Dependencies

@ -25,7 +25,7 @@ We will be using v0.3.1 of Kompute, and similar to above we will need the built
 We can start by cloning the repository on the v0.3.1 branch:

 ```
-git clone --branch v0.3.1 https://github.com/KomputeFoundation/kompute/
+git clone --branch v0.3.1 https://github.com/KomputeProject/kompute/
 ```

 You will be able to use cmake to generate the build files for your platform.
--- a/examples/godot_logistic_regression/gdnative_shared/README.md
+++ b/examples/godot_logistic_regression/gdnative_shared/README.md
@ -6,7 +6,7 @@ This is the accompanying code for the Blog post ["Supercharging Game Development
 This section contains the implementation of the Kompute module as a shared GdNative Library that can be loaded dynamically through the Godot engine. This approach does not require re-compiling the Godot engine source code.


-![](https://github.com/KomputeFoundation/kompute/raw/master/docs/images/komputer-godot-4.gif)
+![](https://github.com/KomputeProject/kompute/raw/master/docs/images/komputer-godot-4.gif)

 ### Set Up Dependencies

--- a/examples/pi4_mesa_build/README.md
+++ b/examples/pi4_mesa_build/README.md
@ -96,7 +96,7 @@ vulkaninfo
 Clone Kompute for access to the latest Python tests.

 ```
-git clone https://github.com/KomputeFoundation/kompute.git
+git clone https://github.com/KomputeProject/kompute.git
 ```

 ## Install dependencies to run the tests 
@ -109,7 +109,7 @@ python3 -m venv .venv
 source .venv/bin/activate
 pip install --upgrade pip wheel
 pip install -r requirements-dev.txt
-pip install git+git://github.com/KomputeFoundation/kompute.git
+pip install git+git://github.com/KomputeProject/kompute.git
 ```

 ## Run the available tests
--- a/test/TestAsyncOperations.cpp
+++ b/test/TestAsyncOperations.cpp
@ -169,7 +169,7 @@ TEST(TestAsyncOperations, TestManagerAsyncExecution)
    // AMD Drivers in Windows may see an error in this line due to timeout.
    // In order to fix this, it requires a change on Windows registries.
    // More details on this can be found here: https://docs.substance3d.com/spdoc/gpu-drivers-crash-with-long-computations-128745489.html
-    // Context on solution discussed in github: https://github.com/KomputeFoundation/kompute/issues/196#issuecomment-808866505
+    // Context on solution discussed in github: https://github.com/KomputeProject/kompute/issues/196#issuecomment-808866505
    sq1->evalAsync<kp::OpAlgoDispatch>(algo1);
    sq2->evalAsync<kp::OpAlgoDispatch>(algo2);

--- a/test/utils/kompute_test/Shader.hpp
+++ b/test/utils/kompute_test/Shader.hpp
@ -10,7 +10,7 @@
 * Compile a single glslang source from string value. This is only meant
 * to be used for testing as it's non threadsafe, and it had to be removed
 * from the glslang dependency and now can only run the CLI directly due to 
- * license issues: see https://github.com/KomputeFoundation/kompute/pull/235
+ * license issues: see https://github.com/KomputeProject/kompute/pull/235
 *
 * @param source An individual raw glsl shader in string format
 * @return The compiled SPIR-V binary in unsigned int32 format