Hey everyone,
have you experienced slower sampling (5 mins instead of 1.5 mins) since the recent updates?
I know there’s been similar topics in previous versions but wanted to make sure I’m not missing out on more up-to-date best practices around v5.
Best,
Osan
Are you using the default sampler? There may be a slowdown due to Replace `batched_convolution` by PyTensor native implementation by ricardoV94 · Pull Request #1583 · pymc-labs/pymc-marketing · GitHub for small datasets, specially on the default C-backend.
We’re trying to fix the gap in Faster convolve1d in numba backend by ricardoV94 · Pull Request #1378 · pymc-devs/pytensor · GitHub for the Numba backend. The C-backend may require a bit more work
Tracking issue: New batched_convolution can be slower for small datasets · Issue #1649 · pymc-labs/pymc-marketing · GitHub
Would be great if you could share what model / sampling backend you’re using