diff --git a/Makefile b/Makefile index c912f95c7..9bad1db60 100644 --- a/Makefile +++ b/Makefile @@ -200,6 +200,6 @@ format: $(CLANG_FORMAT_BIN) -i -style="{BasedOnStyle: mozilla, IndentWidth: 4}" src/*.cpp src/include/kompute/*.hpp test/*cpp build_changelog: - docker run --rm -it -v "$(PWD)":/usr/local/src/your-app -e CHANGELOG_GITHUB_TOKEN=${CHANGELOG_GITHUB_TOKEN} ferrarimarco/github-changelog-generator:1.15.2 -u EthicalML -p vulkan-kompute + docker run --rm -it -v "$(PWD)":/usr/local/src/your-app -e CHANGELOG_GITHUB_TOKEN=${CHANGELOG_GITHUB_TOKEN} ferrarimarco/github-changelog-generator:1.15.2 -u KomputeFoundation -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 diff --git a/README.md b/README.md index 90edc0a09..af6994ee4 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@ * 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/ethicalml/vulkan-kompute/master/docs/images/komputer-logos.gif) +![](https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/komputer-logos.gif) ## Getting Started @@ -316,7 +316,7 @@ Simplified Kompute Components - +

@@ -324,11 +324,11 @@ Simplified Kompute Components

- + - + @@ -340,7 +340,7 @@ 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/ethicalml/vulkan-kompute/master/docs/images/queue-allocation.jpg) +![](https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/queue-allocation.jpg) ## Mobile Enabled diff --git a/examples/godot_examples/custom_module/.gitignore b/examples/godot_examples/custom_module/.gitignore index 1e6a0400e..371dc7b6d 100644 --- a/examples/godot_examples/custom_module/.gitignore +++ b/examples/godot_examples/custom_module/.gitignore @@ -1,3 +1,3 @@ -vulkan-kompute +kompute lib godot diff --git a/examples/godot_examples/custom_module/README.md b/examples/godot_examples/custom_module/README.md index 22999e3cf..1cd146d76 100644 --- a/examples/godot_examples/custom_module/README.md +++ b/examples/godot_examples/custom_module/README.md @@ -25,7 +25,7 @@ git clone --branch v0.3.1 https://github.com/KomputeFoundation/kompute/ You will be able to use cmake to generate the build files for your platform. ``` -cmake vulkan-kompute/. -Bvulkan-kompute/build +cmake kompute/. -Bkompute/build ``` You need to make sure that the build is configured with the same flags required for godot, for example, in windows you will need: diff --git a/examples/godot_examples/gdnative_shared/.gitignore b/examples/godot_examples/gdnative_shared/.gitignore index 0cf5ce739..1fe38fec3 100644 --- a/examples/godot_examples/gdnative_shared/.gitignore +++ b/examples/godot_examples/gdnative_shared/.gitignore @@ -1,4 +1,4 @@ -vulkan-kompute +kompute lib godot-cpp .import diff --git a/examples/godot_logistic_regression/custom_module/.gitignore b/examples/godot_logistic_regression/custom_module/.gitignore index 1e6a0400e..371dc7b6d 100644 --- a/examples/godot_logistic_regression/custom_module/.gitignore +++ b/examples/godot_logistic_regression/custom_module/.gitignore @@ -1,3 +1,3 @@ -vulkan-kompute +kompute lib godot diff --git a/examples/godot_logistic_regression/custom_module/README.md b/examples/godot_logistic_regression/custom_module/README.md index 80e0f6039..ac4cc3923 100644 --- a/examples/godot_logistic_regression/custom_module/README.md +++ b/examples/godot_logistic_regression/custom_module/README.md @@ -31,7 +31,7 @@ git clone --branch v0.3.1 https://github.com/KomputeFoundation/kompute/ You will be able to use cmake to generate the build files for your platform. ``` -cmake vulkan-kompute/. -Bvulkan-kompute/build +cmake kompute/. -Bkompute/build ``` You need to make sure that the build is configured with the same flags required for godot, for example, in windows you will need: diff --git a/examples/godot_logistic_regression/gdnative_shared/.gitignore b/examples/godot_logistic_regression/gdnative_shared/.gitignore index 0cf5ce739..1fe38fec3 100644 --- a/examples/godot_logistic_regression/gdnative_shared/.gitignore +++ b/examples/godot_logistic_regression/gdnative_shared/.gitignore @@ -1,4 +1,4 @@ -vulkan-kompute +kompute lib godot-cpp .import diff --git a/examples/neural_network_vgg7/README.md b/examples/neural_network_vgg7/README.md index 2b65102ab..3e6b06df7 100644 --- a/examples/neural_network_vgg7/README.md +++ b/examples/neural_network_vgg7/README.md @@ -1,6 +1,6 @@ # Waifu2x VGG7 implementation -This demonstrates performing image upscaling using Python and vulkan-kompute. +This demonstrates performing image upscaling using Python and kompute. To import the no-noise-compensation VGG7 model (into `model-kipper`): diff --git a/examples/pi4_mesa_build/README.md b/examples/pi4_mesa_build/README.md index 6e3cc2a51..3eed3cf66 100644 --- a/examples/pi4_mesa_build/README.md +++ b/examples/pi4_mesa_build/README.md @@ -104,7 +104,7 @@ git clone https://github.com/KomputeFoundation/kompute.git Navigate to the available tests and install required dependencies. ``` -cd vulkan-kompute/python/test +cd kompute/python/test python3 -m venv .venv source .venv/bin/activate pip install --upgrade pip wheel