* feat: update CCE to use axolotl's fork
* chore: improve error message
* feat: add eot token for gemma3 configs
* fix: only warn on more than 1 image
* fix: re-add gemma3 patch
* Revert "fix: re-add gemma3 patch"
This reverts commit f04db5e873.
* feat: add qwen25 vl example
* feat: point to upstream fork cce package
* feat: update cce commit
34 lines
907 B
Python
34 lines
907 B
Python
"""Script to output the correct installation command for cut-cross-entropy."""
|
|
|
|
import importlib.util
|
|
import sys
|
|
|
|
try:
|
|
import torch
|
|
except ImportError as exc:
|
|
raise ImportError("Install torch via `pip install torch`") from exc
|
|
from packaging.version import Version as V
|
|
|
|
USE_UV = "--uv" in sys.argv[1:]
|
|
|
|
v = V(torch.__version__)
|
|
|
|
# no cut-cross-entropy support for torch < 2.4.0
|
|
if v < V("2.4.0"):
|
|
print("")
|
|
sys.exit(0)
|
|
|
|
cce_spec = importlib.util.find_spec("cut_cross_entropy")
|
|
|
|
UNINSTALL_PREFIX = ""
|
|
if cce_spec:
|
|
if not importlib.util.find_spec("cut_cross_entropy.transformers"):
|
|
UNINSTALL_PREFIX = "pip uninstall -y cut-cross-entropy && "
|
|
|
|
UV_PREFIX = "uv " if USE_UV else ""
|
|
|
|
print(
|
|
UNINSTALL_PREFIX
|
|
+ f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@78b2a45713a54c9bedf8b33f5e31cf07a1a57154"'
|
|
)
|