iris / core /gpu.py
Marcus Ramalho
Iris: hands-free live mode, money/bill reading, accessible UI, Qwen3-VL-2B
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"""ZeroGPU helpers.
`gpu` is a decorator: on HF Spaces (ZeroGPU) it allocates a GPU per call;
locally (without the `spaces` package) it becomes a transparent no-op, so the
same code runs on the local GPUs and on the Space.
"""
import functools
try:
import spaces # available only on ZeroGPU Spaces
_HAS_SPACES = True
except Exception:
_HAS_SPACES = False
def gpu(duration: int = 60):
"""Allocate a GPU for `duration`s on the call (ZeroGPU). No-op locally."""
def decorate(fn):
if _HAS_SPACES:
return spaces.GPU(duration=duration)(fn)
@functools.wraps(fn)
def wrapper(*args, **kwargs):
return fn(*args, **kwargs)
return wrapper
return decorate
def device() -> str:
import torch
return "cuda" if torch.cuda.is_available() else "cpu"