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https://github.com/huggingface/text-generation-inference.git
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42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
import torch
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import os
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from typing import Dict, Optional
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MEM_POOL = torch.cuda.graph_pool_handle() if torch.cuda.is_available() else None
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# This is overridden by the cli
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cuda_graphs = os.getenv("CUDA_GRAPHS")
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if cuda_graphs is not None:
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try:
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cuda_graphs = [int(item) for item in cuda_graphs.split(",")]
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except Exception as e:
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raise RuntimeError(
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f"Could not parse cuda graphs {cuda_graphs}, expected comma separated list for batch sizes to run on: {e}"
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)
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else:
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cuda_graphs = None
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CUDA_GRAPHS = cuda_graphs
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# This is overridden at model loading.
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global MODEL_ID
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MODEL_ID = None
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def set_model_id(model_id: str):
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global MODEL_ID
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MODEL_ID = model_id
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# NOTE: eventually we should move this into the router and pass back the
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# index in all cases.
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ADAPTER_TO_INDEX: Optional[Dict[str, int]] = None
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def set_adapter_to_index(adapter_to_index: Dict[str, int]):
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global ADAPTER_TO_INDEX
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ADAPTER_TO_INDEX = adapter_to_index
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def get_adapter_to_index():
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global ADAPTER_TO_INDEX
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return ADAPTER_TO_INDEX
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