ROCm
deep-daze
| ROCm | deep-daze | |
|---|---|---|
| 11 | 49 | |
| 21 | 4,379 | |
| - | - | |
| 10.0 | 0.0 | |
| over 3 years ago | about 2 years ago | |
| HTML | Python | |
| - | MIT 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.
ROCm
- ROCm 6.1.0
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
ROCm is not spelled out anywhere in their documentation and the best answers in search come from Github and not AMD official documents
"Radeon Open Compute Platform"
https://github.com/ROCm/ROCm/issues/1628
And they wonder why they are losing. Branding absolutely matters.
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AMD Instinct MI300X Accelerators
https://github.com/ROCm/ROCm/issues/1353
Bought in 2020. Stopped working in 2020. Not the latest, but in-production, advertised ROCm-capable, and what I could find during the Great GPU Shortage of 2020.
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AMD leaps after launching AI chip that could challenge Nvidia dominance
Maybe so. But it isn't confidence inspiring when I go to see which cards are supported and I see this issue:
https://github.com/ROCm/ROCm/issues/1714
With Nvidia cards, I know that if I buy any Nvidia card made in the last 10 years, CUDA code will run on it. Period. (Yes, different language levels require newer hardware, but Nvidia docs are quite clear about which CUDA versions require which silicon.)
The will-they-won't-they and the rapidly dropped support is hurting the otherwise excellent ROCm and HIP projects. There is a huge API surface to implement and it looks like they're making rapid gains.
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GCN2, GCN3: What is the Technical, Non-Business Reason for Limited Supported in Linux (OpenSYCL/HIP/ROCM)? [Exasperated client]
Like, there is: https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md but I'm pretty sure that's very very outdated, maybe from 4.x?
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AMD’s Best GPU has some problems — Radeon RX 7900XTX VR Performance Review
Fair enough I'll give you that. Although it is listed as officially supported here, other documentation says it works but is not officially supported.
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Finally, ROCm packages in [community]!
Do you have a source? The 580 and several older cards are listed as officially supported here, and even some 2xx/3xx cards are listed as unofficially supported.
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[D] What’s the word on AMD gpus these days?
Some of the GPUs listed in your link are for consumers. For a more extensive list, see https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md
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Told an AI to generate Linux. Looks about right
Very conveniently, your linked page (the therein linked pages) do not talk about which GPUs actually do support ROCm. This is probably because AMDs newest cards do not support ROCm in any way, and would guess they don't want the sales pact this lack of feature could cause. Please do evaluate yourself, here: https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md
deep-daze
- Besides Gaming - for what can be a 4080 useful?
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Master hacker used “AI via command prompt” to ask what “after death looks like”
it's not nessecary to specify the model with the tool he is using also known as deep daze
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AI image transformation. New drop, Proto-Cubism art watch the magic below.
If you want do the same thing for free yourself: https://github.com/lucidrains/deep-daze
- GitHub - lucidrains/deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
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List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
(Added Mar. 15, 2021) deep-daze Fourier Feature Map - Colaboratory by afiaka87. Uses SIREN to generate images. Reference. Reddit post.
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test
(Added Feb. 5, 2021) Deep Daze - Colaboratory by lucidrains. Uses SIREN to generate images. The GitHub repo has a local machine version. GitHub. Notebook copy by levindabhi.
- AI generated visualization of Meat Grinder lyrics
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Let's play Guess That Chandrian! (Round one) All images are generated by AI using the Chandrian's "Deep Names and Signs" as the prompt. Who does your sleeping mind see? Let me know in the comments!
Thanks! I'll be posting more over the week. I run these on Python. Here's the link for the program https://github.com/lucidrains/deep-daze
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Told an AI to generate Linux. Looks about right
In case you have some damn good gamer-level GPU, you can try this FOSS alternative locally instead: https://github.com/lucidrains/deep-daze
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AI-generated image using "Israel" as a keyword
I'm not sure exactly what they used, but deep-daze can be used to generate similar things that turn out quite cool
What are some alternatives?
rocm-arch - A collection of Arch Linux PKGBUILDS for the ROCm platform
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
ROCR-Runtime - ROCm Platform Runtime: ROCr a HPC market enhanced HSA based runtime
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
Story2Hallucination
stable-diffusion-webui - Stable Diffusion web UI
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
ZLUDA - CUDA on AMD GPUs
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
HIPIFY - HIPIFY: Convert CUDA to Portable C++ Code
starcli - :sparkles: Browse trending GitHub projects from your command line