emu

5 ms·

1.
by emu 2y ago
https://x.com/jacobaustin132/status/1886844716446007300 is the announcement of this book.
2.
by emu 2y ago
The uncertainty alone is already stopping people from making job offers this year in physics. Will the department of Energy keep funding fundamental physics research, for example? Will the NSF or NASA? No one knows. The rational response un
3.
by emu 3y ago
> Such capability can’t even be contemplated on the TPU side because you basically get a black box. I'll just leave this here: https://jax.readthedocs.io/en/latest/pallas/index.html
4.
by emu 3y ago
Baratza also sell replacement parts for their grinders on their web site, and provide clear instructions on how to install them. I am delighted to support a manufacturer that builds repairable products.
5.
by emu 3y ago
But the interpretation of the journalist is the issue here. Comparing a cost optimized part (TPU v5e) against a performance optimized part (H100) and deciding that this makes Google "behind" is just incorrect.
6.
by emu 3y ago
No, it is not. That's the sparse fp8 flop number, but you need to ignore sparsity and compare bf16 flops not fp8 flops for the comparison the ancestor post is making.
7.
Google: Largest distributed training job for LLMs across 50000 TPU v5e(cloud.google.com)
5 points by emu 3y ago|2 comments
8.
by emu 3y ago
Yes, we made this more formally supported recently. We felt that Windows CPU support was important so everyone can run JAX, even if it's not always the most-accelerated version of JAX. And we got some great PRs from the community that
9.
by emu 3y ago
We ship Windows CPU only at the moment. We don't support Windows GPU because we haven't had the engineer bandwidth to support it well. We recommend WSL2 for GPU on Windows at the moment because that is a compromise: it allows CUDA
10.
by emu 3y ago
Not true! We release Windows CPU wheels ( https://pypi.org/project/jaxlib/#files ). So JAX on CPU works great on Windows. We don't release Windows GPU wheels at the moment, but that's because we're
11.
by emu 4y ago
If pypi didn't enforce size limits, I'd agree with you. We routinely have to delete older versions of our package to make space for newer versions.
12.
by emu 4y ago
I enjoyed playing Stellaris on my MacBook M1 pro on a transcontinental flight last night. 4x games work well for passing the time!
13.
by emu 5y ago
I wish Mac OS and Apple hardware supported 8k monitors. I have this monitor and love it, but I can't use it with a Macbook at higher than 4k.
14.
by emu 5y ago
My employer withheld California tax on restricted stock grants for me exactly as described here when I moved out of California years ago. Other states even have forms for you to submit this calculation to them, see for example New York&#x27
15.
by emu 6y ago
Yes, the difference between 4k and 8k text is easily noticeable for a 32" monitor, and I'm not particularly eagle-eyed. Text is sharper and finer details are better rendered. For videos and images I don't notice the differenc
16.
by emu 6y ago
I love using a 32" 8k monitor for working with text/code. To me, as a software engineer who stares at code all day, higher quality text rendering is sufficient justification for 8k. I tried playing a few games at 8k (just for fun)
17.
MLPerf Training v0.7 Results(mlperf.org)
3 points by emu 6y ago|0 comments
18.
by emu 6y ago
We (JAX) see JAX and Numba as mostly complementary; they have different strengths and they are focused on different things. We haven't tried combining them yet, but we think it would be fun to explore ( https://github.com&#x2
19.
by emu 6y ago
Good catch, I missed Trax! Trax is a configuration-driven neural network framework focused on sequence model research, as a successor to Tensor2Tensor. Comparisons are hard in general and I don't have a good answer for you right now, b
20.
by emu 6y ago
Hello from the JAX team! We'd like to take this opportunity to give a shout out to some of the awesome projects folks are building on top of JAX, e.g., * Flax, a neural network library for JAX ( https://github.com/google
21.
by emu 7y ago
Autodiff is certainly one of the strengths of JAX. See the JAX Autodiff cookbook for a flavor of what JAX can do: https://colab.research.google.com/github/google/jax/blob/mas... You might also like the p
22.
by emu 8y ago
Since you mention it: Cloud TPUv3 is now available in beta (brand new!) See: https://cloud.google.com/tpu/ (420 TFlop/s, 128GB HBM)
23.
by emu 9y ago
If you look, the same listing has 5 fulfilled-by-amazon shippers as well :-)
24.
by emu 9y ago
The listing says, and I quote: "Apple A1385 USB Cube Adapter ..." (in the title) and "Includes 1 Apple certified charger cube". I'd bet that neither is true.
25.
by emu 9y ago
It's trivially easy to run into counterfeit products on Amazon. Here's an example I pulled up in 2 minutes of searching: https://www.amazon.com/Apple-A1385-Adapter-Charger-iPhone/dp... I see two sellers offer
26.
by emu 10y ago
The documentation is now up too: https://www.tensorflow.org/versions/master/experimental/xla/
27.
by emu 10y ago
The code is up: https://github.com/tensorflow/tensorflow/commit/1e67c90e2cac... https://github.com/tensorflow/tensorflow/tree/master/tensorf... The corresponding documenta
28.
by emu 10y ago
Precisely. Just-in-time compilation allows the compiler to specialize the generated code for the shapes of the Tensors that appear at run time. This allows us to generate better code. XLA also has an experimental ahead-of-time mode, which w
29.
by emu 10y ago
I'm on the Tensorflow team. Unofficial answer: no promises, but it should be open-source soon. It may even be released in the next day or two. Watch this space!
30.
by emu 10y ago
Yes. I use the Dell display with a 2015 Macbook Pro, using dual Displayport cables. It works pretty well. I think you need the model with the AMD M370X GPU to drive an external 5k display. I also use the Dell 5k monitor with a PC with a Gef

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