llama-stack/llama_stack/providers/registry
Sébastien Han edd9aaac3b
fix: use torchao 0.8.0 for inference (#1925)
# What does this PR do?

While building the "experimental-post-training" distribution, we
encountered a version conflict between torchao with inference requiring
version 0.5.0 and training currently depending on version 0.8.0.

Resolves this error:

```
  × No solution found when resolving dependencies:
  ╰─▶ Because you require torchao==0.5.0 and torchao==0.8.0, we can conclude that your requirements are unsatisfiable.
ERROR    2025-04-10 10:41:22,597 llama_stack.distribution.build:128 uncategorized: Failed to build target test with
         return code 1
```

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-04-10 13:39:20 -07:00
..
__init__.py API Updates (#73) 2024-09-17 19:51:35 -07:00
agents.py test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio.py [remove import *] clean up import *'s (#689) 2024-12-27 15:45:44 -08:00
eval.py feat: [New Eval Benchamark] IfEval (#1708) 2025-03-19 16:39:59 -07:00
files.py feat(api): don't return a payload on file delete (#1640) 2025-03-25 17:12:36 -07:00
inference.py fix: use torchao 0.8.0 for inference (#1925) 2025-04-10 13:39:20 -07:00
post_training.py feat: Add nemo customizer (#1448) 2025-03-25 11:01:10 -07:00
safety.py fix: Add 'accelerate' dependency to 'prompt-guard' (#1724) 2025-03-21 07:37:20 -07:00
scoring.py [remove import *] clean up import *'s (#689) 2024-12-27 15:45:44 -08:00
telemetry.py test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
tool_runtime.py chore: move embedding deps to RAG tool where they are needed (#1210) 2025-02-21 11:33:41 -08:00
vector_io.py feat: Qdrant inline provider (#1273) 2025-03-18 14:04:21 -07:00