cargo-flamegraph
tensorflow_macos
cargo-flamegraph | tensorflow_macos | |
---|---|---|
3 | 33 | |
32 | 2,887 | |
- | - | |
0.0 | 3.4 | |
almost 5 years ago | almost 3 years ago | |
Rust | Shell | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
cargo-flamegraph
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Rust profiling
I'd suggest cargo flamegraph https://github.com/killercup/cargo-flamegraph
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Hey Rustaceans! Got an easy question? Ask here (16/2021)!
Check out cargo flamegraph.
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Help: My Rocket server is very vulnerable to denial of service attacks
cargo-flamegraph is a very simple and portable tool to understand where the time is spent in your application. If you want more detailed info, try this: perf record -g --call-graph=dwarf /path/to/your/application and then load it into Firefox Profiler. That's the best profiling UI available.
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?
What are some alternatives?
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
miniforge - A conda-forge distribution.
hotspot - The Linux perf GUI for performance analysis.
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
toml-rs - A TOML encoding/decoding library for Rust
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
html-proofer - Test your rendered HTML files to make sure they're accurate.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]
rust-analyzer - A Rust compiler front-end for IDEs
Python-docker - Docker Official Image packaging for Python