tensorflow_macos
RAFT
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| tensorflow_macos | RAFT | |
|---|---|---|
| 33 | 3 | |
| 2,887 | 2,985 | |
| - | 3.4% | |
| 3.4 | 3.2 | |
| almost 3 years ago | 5 months ago | |
| Shell | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tensorflow_macos
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Updated Apple Silicon Guide for M2 Pro and M2 Max Chips
https://github.com/apple/tensorflow_macos is no longer needed
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The hunt for the M1’s neural engine
Tensorflow has a CoreML enabled version which run on ANE.
https://github.com/apple/tensorflow_macos
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M1 Mac users
Apple released a guide on how to use the M1's integrated Neural Chip in TensorFlow. Have a look at this Apple documentation page (and maybe also this GitHub that talks about TensorFlow together with Apple's own ML Compute platform).
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MacBook Air or Wait for new potential MacBook Air with M2
Tensorflow does work on Apple Silicon
- Kernels dying when using tensorflow in Jupyter Notebooks.
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Main PyTorch maintainer confirms that work is being done to support Apple Silicon GPU acceleration for the popular machine learning framework.
Apple did some work to optimize tensorflow for M1, can be found here https://github.com/apple/tensorflow_macos It's alpha, but works fine, I tried it
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The M1 Max is the fastest GPU we have ever measured in Affinity Photo benchmark
https://github.com/apple/tensorflow_macos/issues/25
https://forums.macrumors.com/threads/apple-silicon-deep-lear...
It is expected that the M1 Max should have similar performance to a RTX-2080 or Titan X.
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MacBook Pro M1 Pro benchmark
In case anyone is interested, in ran a fairly simple MNIST benchmark (proposed here : https://github.com/apple/tensorflow_macos/issues/25) on my recently acquired M1 Pro MBP (16-core GPU, 16GB RAM).
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Error while installing tensorflow on Mac M1
The only method I know of to download tensorflow on M1 macs is the one documented here: https://github.com/apple/tensorflow_macos
- How exactly does the Neural Engine benefit the consumer?
RAFT
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SD-CN-Animation updated to v0.9. Many of the major issues were fixed, better vid2vid quality, ControlNet in txt2vid mode and more! Here is an example of how txt2vid with CN looks like.
Learning something new. Recently learned to use temporal kit, i.e. merge multiple frames into the same image to achieve consistency. You are using " 'RAFT' optical flow estimation algorithm to create an occlusion mask that is used to generate the next frame". Curious, how is it used?
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Optical flow installation for a Stable Diffusion extension
The command "conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.1 matplotlib tensorboard scipy opencv -c pytorch" is asking to install Google Authenticator in an environment, as part of a package install. Trying to install this https://github.com/princeton-vl/RAFT to run this https://github.com/volotat/SD-CN-Animation
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Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out
https://github.com/princeton-vl/RAFT#optional-efficent-imple...
It's "optional" in the sense that things still calculate correctly on CPU without it, but at a 1000x performance penalty. Or you could skip it if you had 64GB of GPU RAM, which you cannot buy (yet).
So if you actually want to work with this on GPUs that are commercially available, you need it.
What are some alternatives?
miniforge - A conda-forge distribution.
SD-CN-Animation - This script allows to automate video stylization task using StableDiffusion and ControlNet.
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
Python-docker - Docker Official Image packaging for Python
coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Enzyme - High-performance automatic differentiation of LLVM and MLIR.