tinygrad
Polly
tinygrad | Polly | |
---|---|---|
58 | 52 | |
17,800 | 13,023 | |
- | 0.9% | |
9.7 | 9.8 | |
10 months ago | 5 days ago | |
Python | C# | |
MIT License | BSD 3-clause "New" or "Revised" License |
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tinygrad
- tinygrad: extreme simplicity, easiest framework to add new accelerators to
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GGML – AI at the Edge
Might be a silly question but is GGML a similar/competing library to George Hotz's tinygrad [0]?
[0] https://github.com/geohot/tinygrad
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Render neural network into CUDA/HIP code
at first glance i thought may its like tinygrad. but looks has many ops than that tiny grad but most maps to underlying hardware provided ops?
i wonder how well tinygrad's apporach will work out, ops fusion sounds easy, just a walk a graph, pattern match it and lower to hardware provided ops?
Anyway if anyone wants to understand the philosophy behind tinygrad, this file is great start https://github.com/geohot/tinygrad/blob/master/docs/abstract...
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llama.cpp now officially supports GPU acceleration.
There are currently at least 3 ways to run llama on m1 with GPU acceleration. - mlc-llm (pre-built, only 1 model has been ported) - tinygrad (very memory efficient, not that easy to integrate into other projects) - llama-mps (original llama codebase + llama adapter support)
- George Hotz building an AMD competitor to Nvidia.
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George Hotz ROCm adventures
Hopefully we will see now full support with AMD hardware on https://github.com/geohot/tinygrad. You can read more about it on https://tinygrad.org/
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The Coming of Local LLMs
tinygrad
https://github.com/geohot/tinygrad/tree/master/accel/ane
But I have not tested it on Linux since Asahi has not yet added support.
llama.cpp runs at 18ms per token (7B) and 200ms per token (65B) without quantization.
- Everything we know about Apple's Neural Engine
- Everything we know about the Apple Neural Engine (ANE)
- How 'Open' Is OpenAI, Really?
Polly
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The Retry Pattern and Retry Storm Anti-pattern
In our applications, we should wrap all requests to remote services in code that implements a retry policy that follows one of the strategies I listed earlier. If you are a .NET developer like myself, you may be familiar with the Polly library. Golang has a library called Retry, and there are numerous third-party libraries for Python and Java.
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Http calls on mobile, what is the preferred way / best practice
Another question that rises is, would it be better to use some HttpClient package to handle the requests, like Refit in combination with Polly. But then again, it seems Refit also uses the HttpClient factory, which was a bad thing according to the previous?
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[Question] HttpClient does not recover from error
D'Oh! Sorry, not PolySharp. I meant Polly. Too many similarly-named libraries!
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I thought "Availability Groups" would be 100% "seamless"
Everywhere I've worked with AGs, we've worked with the application team to add retry logic to help make things a bit more seamless to end users. There are libraries out there that can make this pretty easy - Polly is one that I've used a few times, but there are others.
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Do you really need "microservices"?
Fallacy 1: The network is reliable. If system 2 works perfectly well, but is not accessible for service 1 due to network issues, service 2 is still unavailable. This is why timeouts, service breakers and retry policies exist. A great tool for .NET to handle common network issues is Polly, but even when using a tool like this, the network is still not completely reliable.
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Only "exit 1" if VISIBLE errors are thrown during script invocation, ignoring try/catch blocks
I see. Then I don't have any better idea right now, but I do want to suggest that if your script is mostly API calls and you want to be able to deal with failures then take a look at the polly library: https://github.com/App-vNext/Polly
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Getting back into C# after a hiatus, any good reading material recommendations to get back up to speed? Been using Kotlin recently, and got quite a lot of experience in engineering.
Runs in containers nicely, has good integration with Kafka, RabbitMQ, gRPC, etc. for Microservices communication. Implements resiliency patterns you'd want in Microservices via Polly. Has a decent Dependency Injection framework built in by default.
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What your hidden nuget gems ?
It's in no way hidden. But I use Polly all the time.
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Message Queueing
Depending if the sender or the reciever is down, you can also try Polly http://www.thepollyproject.org/
- How To Implement Retries Without Cluttering Your Code
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
MediatR - Simple, unambitious mediator implementation in .NET
llama.cpp - LLM inference in C/C++
Hangfire - An easy way to perform background job processing in .NET and .NET Core applications. No Windows Service or separate process required
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
FluentValidation - A popular .NET validation library for building strongly-typed validation rules.
llama - Inference code for Llama models
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Refit - The automatic type-safe REST library for .NET Core, Xamarin and .NET. Heavily inspired by Square's Retrofit library, Refit turns your REST API into a live interface.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
Flurl.Http - Fluent URL builder and testable HTTP client for .NET