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import torch
import numpy as np
import random
import onnxruntime as ort
def set_random_seed(seed=0):
ort.set_seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.backends.cudnn.deterministic = True
random.seed(seed)
np.random.seed(seed)
def runonnx(model_path, **kwargs):
ort_session = ort.InferenceSession(model_path)
outputs = ort_session.run(
None,
kwargs
)
return outputs