Sparse Attention, Triton v1.0.0 and CUDA drivers v12+

Greetings,

We recently had to enable the Sparse Attention op in an environment with CUDA driver v12.0, but the only version of Triton that is supported (v1.0.0) resulted in an IndexError: map::at error at compile time.

Looking at the Triton code it seems version 12 was not supported -since it did not exist at the time- and since we could not downgrade the driver we had to manually patch it to make it work.

For reference, here is the process:

Get the source code:

# Download and unzip Triton 1.0 source code
wget -O triton-1.0.zip https://github.com/openai/triton/archive/refs/tags/v1.0.zip
unzip triton-1.0.zip
cd triton-1.0

# Add the CUDA12 version to the supported architectures
vi lib/driver/module.cc

Look for the architecture map on line 214 and change it like this:

static std::map<int, int> vptx = {
  {10000, 63},
  {10010, 64},
  {10020, 65},
  {11000, 70},
  {11010, 71},
  {11020, 72},
  {11030, 73},
  {11040, 73},
  // FIXME force CUDA12 support
  {12000, 73},
};

Now install that version instead of the pip one:

# Install triton from source
cd python
pip3 install -e .

This compiles and runs, but it is clearly a concern for future updates. Is there a reason why only Triton v1.0.0 is supported?

Best,

Alfredo

Start with the Sparse Attention setup and the Triton v1.0 compatibility path, then inspect Triton's lib/driver/module.cc around the architecture map at line 214. Reproduce the IndexError: map::at with CUDA driver 12 and verify the source-install workaround. Done means the supported configuration and any required compatibility change are confirmed without relying on a manual patch.