silu to ONNX opset version 12 is not supported
【摘要】
yolov7导出onnx时报错:
Starting ONNX export with onnx 1.12.0... ONNX export failure: Exporting the operator silu to ONNX opset version 12 is not supported. Please open a bu...
yolov7导出onnx时报错:
Starting ONNX export with onnx 1.12.0...
ONNX export failure: Exporting the operator silu to ONNX opset version 12 is not supported. Please open a bug to request ONNX export support for the missing operator.
方法1,把silu替换掉:
import torch
import torch.nn as nn
import models
from models.experimental import attempt_load
from utils.activations import Hardswish, SiLU
from utils.general import set_logging, check_img_size
from utils.torch_utils import select_device
def replace_module(module, replaced_module_type, new_module_type, replace_func=None) -> nn.Module:
"""
Replace given type in module to a new type. mostly used in deploy.
Args:
module (nn.Module): model to apply replace operation.
replaced_module_type (Type): module type to be replaced.
new_module_type (Type)
replace_func (function): python function to describe replace logic. Defalut value None.
Returns:
model (nn.Module): module that already been replaced.
"""
def default_replace_func(replaced_module_type, new_module_type):
return new_module_type()
if replace_func is None:
replace_func = default_replace_func
model = module
if isinstance(module, replaced_module_type):
model = replace_func(replaced_module_type, new_module_type)
else: # recurrsively replace
for name, child in module.named_children():
new_child = replace_module(child, replaced_module_type, new_module_type)
if new_child is not child: # child is already replaced
model.add_module(name, new_child)
return model
model = replace_module(model, nn.SiLU, SiLU)
model = replace_module(model, nn.Hardswish, Hardswish)
方法2:
把torch从原版本1.7.0升级到1.10.
文章来源: blog.csdn.net,作者:AI视觉网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/126756687
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