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Updated trailing components for readme

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This commit is contained in:
Alejandro Saucedo 2021-07-21 21:19:24 +01:00
parent e4d85057d9
commit ddc879d692
10 changed files with 14 additions and 14 deletions
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2
Makefile
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@ -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

10
README.md
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@ -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
<td width=30%>
<img width="100%" src="https://raw.githubusercontent.com/ethicalml/vulkan-kompute/master/docs/images/kompute-vulkan-architecture.jpg">
<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-vulkan-architecture.jpg">
<br>
<br>
@ -324,11 +324,11 @@ Simplified Kompute Components
<br>
<br>
<img width="100%" src="https://raw.githubusercontent.com/ethicalml/vulkan-kompute/master/docs/images/suspicious.jfif">
<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/suspicious.jfif">
</td>
<td>
<img width="100%" src="https://raw.githubusercontent.com/ethicalml/vulkan-kompute/master/docs/images/kompute-architecture.jpg">
<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-architecture.jpg">
</td>
</tr>
</table>
@ -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

2
examples/godot_examples/custom_module/.gitignore vendored
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@ -1,3 +1,3 @@
vulkan-kompute
kompute
lib
godot

2
examples/godot_examples/custom_module/README.md
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@ -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:

2
examples/godot_examples/gdnative_shared/.gitignore vendored
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@ -1,4 +1,4 @@
vulkan-kompute
kompute
lib
godot-cpp
.import

2
examples/godot_logistic_regression/custom_module/.gitignore vendored
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@ -1,3 +1,3 @@
vulkan-kompute
kompute
lib
godot

2
examples/godot_logistic_regression/custom_module/README.md
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@ -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:

2
examples/godot_logistic_regression/gdnative_shared/.gitignore vendored
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@ -1,4 +1,4 @@
vulkan-kompute
kompute
lib
godot-cpp
.import

2
examples/neural_network_vgg7/README.md
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@ -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`):

2
examples/pi4_mesa_build/README.md
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@ -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