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78 lines
2.4 KiB
78 lines
2.4 KiB
from collections import namedtuple
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import psutil
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import torch
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import torch.distributed as dist
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from colossalai.utils import get_current_device
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_GLOBAL_CUDA_MEM_FRACTION = 1.0
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_GLOBAL_CPU_MEM_CAPACITY = -1
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# copy from PatrickStar
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def _get_cpu_memory_info():
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ps_mem_info = namedtuple("ps_mem_info", ["total", "free", "cached", "buffers", "used"])
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try:
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# psutil reads the memory info from /proc/memory_info,
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# which results in returning the host memory instead of
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# that of container.
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# Here we try to read the container memory with method in:
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# https://stackoverflow.com/a/46213331/5163915
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mems = {}
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with open("/sys/fs/cgroup/memory/memory.meminfo", "rb") as f:
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for line in f:
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fields = line.split()
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mems[fields[0]] = int(fields[1]) * 1024
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total = mems[b"MemTotal:"]
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free = mems[b"MemFree:"]
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cached = mems[b"Cached:"]
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buffers = mems[b"Buffers:"]
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used = total - free - cached - buffers
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if used < 0:
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used = total - free
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mem_info = ps_mem_info(total=total, free=free, cached=cached, buffers=buffers, used=used)
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except FileNotFoundError:
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mems = psutil.virtual_memory()
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mem_info = ps_mem_info(
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total=mems.total,
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free=mems.free,
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cached=mems.cached,
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buffers=mems.buffers,
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used=mems.used,
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)
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return mem_info
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def colo_device_memory_capacity(device: torch.device) -> int:
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"""
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Get the capacity of the memory of the device
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Args:
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device (torch.device): a device
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Returns:
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int: size in byte
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"""
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# TODO: add NPU support
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assert isinstance(device, torch.device)
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if device.type == "cpu":
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# In the context of 1-CPU-N-GPU, the memory capacity of the current process is 1/N overall CPU memory.
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return colo_get_cpu_memory_capacity() // dist.get_world_size()
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if device.type == "cuda":
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return torch.cuda.get_device_properties(get_current_device()).total_memory * _GLOBAL_CUDA_MEM_FRACTION
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def colo_get_cpu_memory_capacity() -> int:
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"""
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Get the cpu memory capacity. We may not use all of it.
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Returns:
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int: _description_
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"""
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global _GLOBAL_CPU_MEM_CAPACITY
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if _GLOBAL_CPU_MEM_CAPACITY == -1:
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mem_info = _get_cpu_memory_info()
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return mem_info.total
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else:
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return _GLOBAL_CPU_MEM_CAPACITY
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