tensorflow_macos
rust-analyzer
tensorflow_macos | rust-analyzer | |
---|---|---|
33 | 207 | |
2,887 | 9,320 | |
- | - | |
3.4 | 10.0 | |
almost 3 years ago | about 2 years ago | |
Shell | Rust | |
GNU General Public License v3.0 or later | 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.
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?
rust-analyzer
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rust-analyzer changelog #177
#14561 map tokens from include! expansion to the included file
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Make LSP-Rust-analyzer works
return { tools = { -- autoSetHints = false, on_initialized = function() vim.api.nvim_create_autocmd({ "BufWritePost", "BufEnter", "CursorHold", "InsertLeave" }, { pattern = { "*.rs" }, callback = function() vim.lsp.codelens.refresh() end, }) end, auto = false, inlay_hints = { -- Only show inlay hints for the current line only_current_line = false, auto = false, -- Event which triggers a refersh of the inlay hints. -- You can make this "CursorMoved" or "CursorMoved,CursorMovedI" but -- not that this may cause higher CPU usage. -- This option is only respected when only_current_line and -- autoSetHints both are true. only_current_line_autocmd = "CursorHold", -- whether to show parameter hints with the inlay hints or not -- default: true show_parameter_hints = false, -- whether to show variable name before type hints with the inlay hints or not -- default: false show_variable_name = false, -- prefix for parameter hints -- default: "<-" -- parameter_hints_prefix = "<- ", parameter_hints_prefix = " ", -- prefix for all the other hints (type, chaining) -- default: "=>" -- other_hints_prefix = "=> ", other_hints_prefix = " ", -- whether to align to the lenght of the longest line in the file max_len_align = false, -- padding from the left if max_len_align is true max_len_align_padding = 1, -- whether to align to the extreme right or not right_align = false, -- padding from the right if right_align is true right_align_padding = 7, -- The color of the hints highlight = "Comment", }, hover_actions = { auto_focus = false, border = "rounded", width = 60, -- height = 30, }, }, server = { --[[ $ mkdir -p ~/.local/bin $ curl -L https://github.com/rust-analyzer/rust-analyzer/releases/latest/download/rust-analyzer-x86_64-unknown-linux-gnu.gz | gunzip -c - > ~/.local/bin/rust-analyzer $ chmod +x ~/.local/bin/rust-analyzer --]] -- cmd = { os.getenv "HOME" .. "/.local/bin/rust-analyzer" }, cmd = { os.getenv "HOME" .. "~/.cargo/bin/rust-analyzer" }, on_attach = require("user.lsp.handlers").on_attach, capabilities = require("user.lsp.handlers").capabilities, settings = { ["rust-analyzer"] = { lens = { enable = true, }, checkOnSave = { command = "clippy", }, }, }, }, }
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rust-analyzer changelog #164
I would like changes like https://github.com/rust-analyzer/rust-analyzer/pull/13799 to be listed in 'Breaking Changes' category, to приманка draw the users' attention.
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Mun v0.4.0 released
For those of you who haven’t heard of Mun before, Mun is an embeddable programming language empowering creation through iteration. The idea to create Mun originated out of frustration with the Lua dynamic scripting language and a desire to have similar hot reloading functionality available in Rust. As such, it’s not a direct competitor with Rust, but instead is intended to be used with Rust (or C/C++) as a host/embedded language pairing. Actually, Mun is completely written in Rust, building on similar crates as rust-analyzer and rustc. Its key features include:
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rust-analyzer changelog #159
#13728 upgrade chalk to make solver fuel work again (works around most trait solving hangs).
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rust-analyzer changelog #147
#13221 (first contribution) add option to move lenses above doc comments (rust-analyzer.lens.location):
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Does Rust need proc-macros 2.0?
Rust-analyzer has a good overview: https://github.com/rust-analyzer/rust-analyzer/blob/master/docs/dev/syntax.md
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rust-analyzer changelog #134
#12517 (first contribution) fix completion for methods in trait generated by macro.
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LSP Rust Analyzer keeps telling me `Error NO_RESULT_CALLBACK_FOUND`
-- all the opts to send to nvim-lspconfig -- these override the defaults set by rust-tools.nvim -- see https://github.com/neovim/nvim-lspconfig/blob/master/doc/server_configurations.md#rust_analyzer server = { -- on_attach is a callback called when the language server attachs to the buffer -- on_attach = on_attach, settings = { -- to enable rust-analyzer settings visit: -- https://github.com/rust-analyzer/rust-analyzer/blob/master/docs/user/generated_config.adoc ["rust-analyzer"] = { -- enable clippy on save checkOnSave = { command = "clippy" }, assist = { importGranularity = "module", importPrefix = "self", }, cargo = { loadOutDirsFromCheck = true }, procMacro = { enable = true }, } } },
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rust-analyzer changelog #130
#12349 publish universal VSIX to make Code happy.
What are some alternatives?
miniforge - A conda-forge distribution.
vscode-rust - Rust extension for Visual Studio Code
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
intellij-rust - Rust plugin for the IntelliJ Platform
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
rustfmt - Format Rust code
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
eglot - A client for Language Server Protocol servers
Python-docker - Docker Official Image packaging for Python
rust - Empowering everyone to build reliable and efficient software.