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2023-07-12 08:14:19 +02:00
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16
README.md
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@@ -1,19 +1,19 @@
<div align="center">
[![logo](https://raw.githubusercontent.com/geohot/tinygrad/master/docs/logo.png)](https://tinygrad.org)
[![logo](https://raw.githubusercontent.com/tinygrad/tinygrad/master/docs/logo.png)](https://tinygrad.org)
tinygrad: For something between [PyTorch](https://github.com/pytorch/pytorch) and [karpathy/micrograd](https://github.com/karpathy/micrograd). Maintained by [tiny corp](https://tinygrad.org).
<h3>
[Homepage](https://github.com/geohot/tinygrad) | [Documentation](/docs) | [Examples](/examples) | [Showcase](/docs/showcase.md) | [Discord](https://discord.gg/ZjZadyC7PK)
[Homepage](https://github.com/tinygrad/tinygrad) | [Documentation](/docs) | [Examples](/examples) | [Showcase](/docs/showcase.md) | [Discord](https://discord.gg/ZjZadyC7PK)
</h3>
[![GitHub Repo stars](https://img.shields.io/github/stars/geohot/tinygrad)](https://github.com/geohot/tinygrad/stargazers)
[![Unit Tests](https://github.com/geohot/tinygrad/actions/workflows/test.yml/badge.svg)](https://github.com/geohot/tinygrad/actions/workflows/test.yml)
[![GitHub Repo stars](https://img.shields.io/github/stars/tinygrad/tinygrad)](https://github.com/tinygrad/tinygrad/stargazers)
[![Unit Tests](https://github.com/tinygrad/tinygrad/actions/workflows/test.yml/badge.svg)](https://github.com/tinygrad/tinygrad/actions/workflows/test.yml)
[![Discord](https://img.shields.io/discord/1068976834382925865)](https://discord.gg/ZjZadyC7PK)
[![Lines of code](https://img.shields.io/tokei/lines/github/geohot/tinygrad)](https://github.com/geohot/tinygrad)
[![Lines of code](https://img.shields.io/tokei/lines/github/tinygrad/tinygrad)](https://github.com/tinygrad/tinygrad)
</div>
@@ -98,7 +98,7 @@ The current recommended way to install tinygrad is from source.
### From source
```sh
git clone https://github.com/geohot/tinygrad.git
git clone https://github.com/tinygrad/tinygrad.git
cd tinygrad
python3 -m pip install -e .
```
@@ -139,9 +139,9 @@ print(y.grad.numpy()) # dz/dy
There has been a lot of interest in tinygrad lately. Here are some basic guidelines for contributing:
- Bug fixes are the best and always welcome! Like [this one](https://github.com/geohot/tinygrad/pull/421/files).
- Bug fixes are the best and always welcome! Like [this one](https://github.com/tinygrad/tinygrad/pull/421/files).
- If you don't understand the code you are changing, don't change it!
- All code golf PRs will be closed, but [conceptual cleanups](https://github.com/geohot/tinygrad/pull/372/files) are great.
- All code golf PRs will be closed, but [conceptual cleanups](https://github.com/tinygrad/tinygrad/pull/372/files) are great.
- Features are welcome. Though if you are adding a feature, you need to include tests.
- Improving test coverage is great, with reliable non-brittle tests.

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examples/efficientnet.py
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@@ -65,7 +65,7 @@ if __name__ == "__main__":
lbls = ast.literal_eval(lbls.decode('utf-8'))
# load image and preprocess
url = sys.argv[1] if len(sys.argv) >= 2 else "https://raw.githubusercontent.com/geohot/tinygrad/master/docs/showcase/stable_diffusion_by_tinygrad.jpg"
url = sys.argv[1] if len(sys.argv) >= 2 else "https://raw.githubusercontent.com/tinygrad/tinygrad/master/docs/showcase/stable_diffusion_by_tinygrad.jpg"
if url == 'webcam':
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)

4
examples/yolov8.py
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@@ -12,7 +12,7 @@ from tinygrad.state import safe_load, load_state_dict
#Model architecture from https://github.com/ultralytics/ultralytics/issues/189
#The upsampling class has been taken from this pull request https://github.com/geohot/tinygrad/pull/784 by dc-dc-dc. Now 2(?) models use upsampling. (retinet and this)
#The upsampling class has been taken from this pull request https://github.com/tinygrad/tinygrad/pull/784 by dc-dc-dc. Now 2(?) models use upsampling. (retinet and this)
#Pre processing image functions.
def compute_transform(image, new_shape=(640, 640), auto=False, scaleFill=False, scaleup=True, stride=32):
@@ -232,7 +232,7 @@ def label_predictions(all_predictions):
return dict(class_index_count)
#this is taken from https://github.com/geohot/tinygrad/pull/784/files by dc-dc-dc (Now 2 models use upsampling)
#this is taken from https://github.com/tinygrad/tinygrad/pull/784/files by dc-dc-dc (Now 2 models use upsampling)
class Upsample:
def __init__(self, scale_factor:int, mode: str = "nearest") -> None:
assert mode == "nearest" # only mode supported for now