1fc86d5295
* optimize moe + lora * more scattermoe optims * selective dequant * add correctness unit tests and benchmarks for scattermoe + lora * handle base+lora split kernel for older moe models * chore: lint * fix casting for H200 and B200 * register pressure estimation and pruning for h200/b200 * use soft limit for pruning * qkv patch for qwen3.5moe * support text_model for qwen3.5 moe * nesting of qwen3 * use udpated cce with zero3 support * Fix decomposed backward for QKV and O projections eliminates B @ A materialization in LoRA attention backward, replacing full [out, in] matmuls with two small [T, R] matmuls.
34 lines
874 B
Python
34 lines
874 B
Python
"""Script to output the correct installation command for cut-cross-entropy."""
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import importlib.util
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import sys
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try:
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import torch
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except ImportError as exc:
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raise ImportError("Install torch via `pip install torch`") from exc
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from packaging.version import Version as V
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USE_UV = "--uv" in sys.argv[1:]
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v = V(torch.__version__)
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# no cut-cross-entropy support for torch < 2.4.0
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if v < V("2.4.0"):
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print("")
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sys.exit(0)
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cce_spec = importlib.util.find_spec("cut_cross_entropy")
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UNINSTALL_PREFIX = ""
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if cce_spec:
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if not importlib.util.find_spec("cut_cross_entropy.transformers"):
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UNINSTALL_PREFIX = "pip uninstall -y cut-cross-entropy && "
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UV_PREFIX = "uv " if USE_UV else ""
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print(
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UNINSTALL_PREFIX
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+ f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@63b15e6"'
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)
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