colesbury

4 ms·

1.
by colesbury 1y ago
You don't have to build from source. uv is the best option, in my opinion, but the py-free-threading docs also have a longer list too: uv: https://docs.astral.sh/uv/getting-started/installation/ py-free-
2.
by colesbury 3y ago
We could implement ownership transfer in CPython in the future, but it's a bit trickier. In Rust, "move" to transfer ownership is part of the language, but there isn't an equivalent in C or Python, so it's difficult
3.
by colesbury 3y ago
You will always get either [1,2,3,4,5,6] or [4,5,6,1,2,3] in the upcoming `--disable-gil` builds of CPython 3.13 and the nogil forks. Most operations on mutable collections hold a per-object lock. Part of the integration work will be to bet
4.
by colesbury 3y ago
Memory models don't usually explicitly guarantee that writes "eventually become visible". They're usually written as ordering guarantees for when a write becomes visible, such as happens-before relationships. Obviously
5.
by colesbury 3y ago
Go's memory model is more constrained than C, C++, and Swift and this case is specifically addressed: https://go.dev/ref/mem#restrictions . "...each read of a single-word-sized or sub-word-sized memory locatio
6.
by colesbury 3y ago
This misses the fact that signed integer promotions are generally not free because they require sign extension. For example, the cast in b() emits a `movsx` (move with sign-extension). `movsx` is not free in the ways that `mov` can be. `m
7.
by colesbury 7y ago
It has example images with Q&A now: https://github.com/facebookresearch/pythia
8.
by colesbury 7y ago
The PyTorch tensor library was originally basically the Python version of Torch 7. It's now moving closer towards NumPy's API (and farther from Torch 7). Th autograd library was inspired by Chainer's design and took a lot of
9.
by colesbury 9y ago
Your criteria 2, 3, and 4 doesn't make much sense to me. We often have workloads that require multiple boxes, but we still want to make effective use of each box. Common server hardware has dozens of cores, which requires a lot of para