HongChuang/ultralytics-ascend
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Allow missing thop package (#19314)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2025-02-19 23:01:56 +08:00 • committed by GitHub
parent b94dd87f9d
commit b50a327a04
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2 changed files with 14 additions and 3 deletions
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11
ultralytics/utils/torch_utils.py
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@ -12,7 +12,6 @@ from pathlib import Path
from typing import Union
import numpy as np
import thop
import torch
import torch.distributed as dist
import torch.nn as nn
@ -31,6 +30,11 @@ from ultralytics.utils import (
)
from ultralytics.utils.checks import check_version
try:
import thop
except ImportError:
thop = None # conda support without 'ultralytics-thop' installed
# Version checks (all default to version>=min_version)
TORCH_1_9 = check_version(torch.__version__, "1.9.0")
TORCH_1_13 = check_version(torch.__version__, "1.13.0")
@ -370,6 +374,9 @@ def model_info_for_loggers(trainer):
def get_flops(model, imgsz=640):
"""Return a YOLO model's FLOPs."""
if not thop:
return 0.0 # if not installed return 0.0 GFLOPs
try:
model = de_parallel(model)
p = next(model.parameters())
@ -681,7 +688,7 @@ def profile(input, ops, n=10, device=None, max_num_obj=0):
m = m.half() if hasattr(m, "half") and isinstance(x, torch.Tensor) and x.dtype is torch.float16 else m
tf, tb, t = 0, 0, [0, 0, 0] # dt forward, backward
try:
flops = thop.profile(deepcopy(m), inputs=[x], verbose=False)[0] / 1e9 * 2 # GFLOPs
flops = thop.profile(deepcopy(m), inputs=[x], verbose=False)[0] / 1e9 * 2 if thop else 0 # GFLOPs
except Exception:
flops = 0