You can denoise it: https://github.com/google/security-research/security/advisor...
> has been looping indefinitely this can mean WebContent process is crashing
the timer and urgency of this reminds me of the movie Armageddon where they had limited time to form a crew for a space mission.
they have a watchdog loop, it runs periodically
shouldn't the title be "CUDA Tile IR Open Sourced"?
is there a document or reference implementation that describes the full algorithm? tiling, sorting, merging, and strip conversion.
> In C++, it's an rvalue reference , which can be effectively thought of as an lvalue hmm...this doesn't sound quite right? the comma operator's result in C++ is not an rvalue reference - it takes on exactly the value…
so, these are hand optimized primitives for specific model of nvidia gpus? do you still have to make launch/scheduling decisions to maximize occupancy? how does this approach scale to other target devices with…
can someone explain how is profiling tools like this written for GPU applications? wouldn't you need access to internal runtime api? for ex. Apple wraps Metal buffers as "Debug" buffers to record…
what kind of model architecture was used for this? is it safe to assume they used a transformer model or a variant of it?
what's the purpose of this? is it one of those 'fun' problems to solve?
how different is this compared to Facebook's open-source tool Faiss[1]? [1] https://github.com/facebookresearch/faiss/
In a similar fashion, you'll see that JAX has frontend code being open-sourced, while device-related code is distributed as binaries. For example, if you're on Google's TPU, you'll see libtpu.so, and on macOS, you'll…
or have the right entitlements? https://developer.apple.com/documentation/bundleresources/en...
> At runtime, C&P generates executable code by copying the object code and patching the holes with runtime known values. how would this work on OSs under hardened runtime rules?
will you also provide compute resources?
how would you compare this to the polytope model? https://en.wikipedia.org/wiki/Polytope_model
and is Griffin a state space model?
i wonder if we can train a foundational model on this data which will eventually allow to semantically search the codebase?
what's the memory and compute requirements for this?
but which model to tokenize with? is there a leaderboard for models that are good for RAG?
is this known as a procedural generation?
care to explain why attention has precision issues with fp8?
the title seems like a misnomer. shouldn't this be "python 3.13 gets a new jit compiler" because python already has a jit.
JAX is a wrapper on top of XLA. Instead of writing pure python, you're writing JAX abstractions. for ex, a simple loop in JAX: def solve(i, v): return i+v x = jax.lax.fori_loop(0, 5, solve, 10)
You can denoise it: https://github.com/google/security-research/security/advisor...
> has been looping indefinitely this can mean WebContent process is crashing
the timer and urgency of this reminds me of the movie Armageddon where they had limited time to form a crew for a space mission.
they have a watchdog loop, it runs periodically
shouldn't the title be "CUDA Tile IR Open Sourced"?
is there a document or reference implementation that describes the full algorithm? tiling, sorting, merging, and strip conversion.
> In C++, it's an rvalue reference , which can be effectively thought of as an lvalue hmm...this doesn't sound quite right? the comma operator's result in C++ is not an rvalue reference - it takes on exactly the value…
so, these are hand optimized primitives for specific model of nvidia gpus? do you still have to make launch/scheduling decisions to maximize occupancy? how does this approach scale to other target devices with…
can someone explain how is profiling tools like this written for GPU applications? wouldn't you need access to internal runtime api? for ex. Apple wraps Metal buffers as "Debug" buffers to record…
what kind of model architecture was used for this? is it safe to assume they used a transformer model or a variant of it?
what's the purpose of this? is it one of those 'fun' problems to solve?
how different is this compared to Facebook's open-source tool Faiss[1]? [1] https://github.com/facebookresearch/faiss/
In a similar fashion, you'll see that JAX has frontend code being open-sourced, while device-related code is distributed as binaries. For example, if you're on Google's TPU, you'll see libtpu.so, and on macOS, you'll…
or have the right entitlements? https://developer.apple.com/documentation/bundleresources/en...
> At runtime, C&P generates executable code by copying the object code and patching the holes with runtime known values. how would this work on OSs under hardened runtime rules?
will you also provide compute resources?
how would you compare this to the polytope model? https://en.wikipedia.org/wiki/Polytope_model
and is Griffin a state space model?
i wonder if we can train a foundational model on this data which will eventually allow to semantically search the codebase?
what's the memory and compute requirements for this?
but which model to tokenize with? is there a leaderboard for models that are good for RAG?
is this known as a procedural generation?
care to explain why attention has precision issues with fp8?
the title seems like a misnomer. shouldn't this be "python 3.13 gets a new jit compiler" because python already has a jit.
JAX is a wrapper on top of XLA. Instead of writing pure python, you're writing JAX abstractions. for ex, a simple loop in JAX: def solve(i, v): return i+v x = jax.lax.fori_loop(0, 5, solve, 10)