Rustup
tensorflow_macos
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| Rustup | tensorflow_macos | |
|---|---|---|
| 58 | 33 | |
| 5,866 | 2,887 | |
| 1.6% | - | |
| 9.5 | 3.4 | |
| 9 days 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.
Rustup
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Problem with rust-analyzer in helix
I got it to finally work by following this
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Do you use relative toolchain paths with rustup? Let us know!
If you are someone actively using such relative-path toolchains, please contact us (Discord / Github issues).
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Canonical hiring Rust toolchain dev
We had a snap package; we removed it in mid 2022
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Announcing Rustup 1.26.0 | Rust Blog
I don't know. The PR references prior discussion without a link, so it may have been private.
- Foundation - Open Membership
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Telemetry really goes into Go toolchain, no matter what
As long as he doesn't put hidden folders in your root like rust. https://github.com/rust-lang/rustup/issues/341
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telemetry in the go toolchain? just say no...
I think you're being upvoted by folks who don't know better, which is a shame because you're making things up :/. The telemetry feature in rustup kept everything local and never "pinged home". And you had to enable it with a command `rustup telemetry enable`. And it just logged JSON files at the path you mentioned. By 2019, the feature was disabled (see: https://github.com/rust-lang/rustup/issues/341 ) because no one worked on it and it just gathered bugs.
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Go claims telemetry objectors arguing in bad faith and violating Code of Conduct
FWIW, there is a proposal to add telemetry to LLVM [0] and Rust used to have telemetry [1], both off by default. Some things in the node.js world have telemetry enabled by default, like Next.js [3].
Some people are posting here as if this as already decided -- AFIACT, that's not the case. It's not even a formal proposal yet, and the stated intent was to start a conversation around something concrete. (For context, this is standard for how I've seen the Go project approaches large topics, including for example I think there were something like ~8 very detailed generics design drafts from the core Go team over ~10 years).
It sounds like the Go team is going to take some time to look into some of the alternative approaches suggested in the feedback collected so far.
In any event, this is obviously a topic people are very passionate about, especially opt-in vs. opt-out, but I guess I would suggest not giving up hope quite yet.
[0] https://discourse.llvm.org/t/rfc-lldb-telemetry-metrics/6458...
[1] https://github.com/rust-lang/rustup/issues/341
[2] https://nextjs.org/telemetry
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Google's Go may add telemetry reporting that's on by default
Rust (Specifically Rust Up) seems to have planned to include telemetry but they paused and cancelled the decision, possibly after implementing it initially.
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Who "owns" Rust ?
https://github.com/rust-lang/rustup/issues/341 and rust installation uses telemetry
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?
rust - Empowering everyone to build reliable and efficient software.
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rust-mode - Emacs configuration for Rust
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rust-on-raspberry-pi
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Rust for Visual Studio Code
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
Rust Language Server - Repository for the Rust Language Server (aka RLS)
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
cargo-modules - Visualize/analyze a Rust crate's internal structure
Python-docker - Docker Official Image packaging for Python