小编jbl*_*gan的帖子

最近更新到 tensorflow 2.0 并且无法将我的 .h5 模型转换为 .onnx 。曾经是一个非常简单的程序，但现在我遇到了问题。当我运行以下代码时：

# onnx testing
import onnx    
import keras2onnx
import os
import tensorflow as tf
from tensorflow.keras.models import load_model

folder = r'\\rdnas'
os.chdir(folder)

#os.environ["TF_KERAS"]='1'
model_loc = folder+'\\model.h5'
model = tf.keras.models.load_model(model_loc)
model.summary()  

# Onnx covnersion  

onnx_model = keras2onnx.convert_keras(model)
temp_model_file = 'model.onnx'
onnx.save_model(onnx_model, temp_model_file)

当我运行代码时，出现以下错误

Using TensorFlow backend.
Can't import tf2onnx module, so the conversion on a model with any custom/lambda layer will fail!
Model: "sequential_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
DVA_input (Dense) …