import numpy as np
from onnx import TensorProto,numpy_helper
from onnx.helper import (
make_node, make_tensor_value_info, make_graph, make_model
)
# import easydict
import onnxruntime
import numpy as np
print("Supported onnxruntime version: ", onnxruntime.__version__)
print("Supported Opset versions: ", onnxruntime.get_available_providers())
class AvgPool3d():
def __init__(self,):
pass
def inference_onnx(self,inputs,args):
x = make_tensor_value_info(name="x",elem_type=TensorProto.FLOAT, shape=[1,8,
avg_pool3d算子
于 2025-04-05 21:59:24 首次发布

最低0.47元/天 解锁文章
1582

被折叠的 条评论
为什么被折叠?



