mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-21 14:52:20 +00:00
9e2fdf57c0
* Removing IPEX_AVAIL. Chose to unify CPU and XPU under `ipex`. Most code is exactly similar except for a very few spots. The biggest number of spots is the kv-cache layout and the flash_xxx.py files. Since those files should be removed soon and factored away, we should not need them. * Forgot a few places. * Unrelated change. * Fixing HF_TOKEN. * HF_TOKEN
72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
import torch
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from loguru import logger
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import subprocess
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def is_ipex_available():
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try:
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import intel_extension_for_pytorch
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except ImportError:
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return False
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return True
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def get_cuda_free_memory(device, memory_fraction):
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total_free_memory, _ = torch.cuda.mem_get_info(device)
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total_gpu_memory = torch.cuda.get_device_properties(device).total_memory
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free_memory = max(0, total_free_memory - (1 - memory_fraction) * total_gpu_memory)
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return free_memory
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def get_xpu_free_memory(device, memory_fraction):
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total_memory = torch.xpu.get_device_properties(device).total_memory
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device_id = device.index
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query = f"xpu-smi dump -d {device_id} -m 18 -n 1"
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output = subprocess.check_output(query.split()).decode("utf-8").split("\n")
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used_memory = float(output[1].split(",")[-1]) * 1024 * 1024
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free_memory = int(total_memory * 0.95 - used_memory)
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return free_memory
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def get_cpu_free_memory(device, memory_fraction):
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import psutil
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from text_generation_server.utils.dist import WORLD_SIZE
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mem = psutil.virtual_memory()
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free_memory = int(mem.available * 0.95 / WORLD_SIZE)
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return free_memory
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def noop(*args, **kwargs):
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pass
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SYSTEM = None
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if torch.version.hip is not None:
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SYSTEM = "rocm"
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empty_cache = torch.cuda.empty_cache
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synchronize = torch.cuda.synchronize
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get_free_memory = get_cuda_free_memory
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elif torch.version.cuda is not None and torch.cuda.is_available():
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SYSTEM = "cuda"
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empty_cache = torch.cuda.empty_cache
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synchronize = torch.cuda.synchronize
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get_free_memory = get_cuda_free_memory
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elif is_ipex_available():
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SYSTEM = "ipex"
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if hasattr(torch, "xpu") and torch.xpu.is_available():
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empty_cache = torch.xpu.empty_cache
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synchronize = torch.xpu.synchronize
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get_free_memory = get_xpu_free_memory
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else:
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empty_cache = noop
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synchronize = noop
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get_free_memory = get_cpu_free_memory
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else:
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SYSTEM = "cpu"
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empty_cache = noop
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synchronize = noop
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get_free_memory = get_cpu_free_memory
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logger.info(f"Detected system {SYSTEM}")
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