Error when converting nn.Transformer

[HaoKang-Timmy]

This is the onnx model I get from pytorch

import torch
import torch.nn as nn
src = torch.rand((10,32,10))
class Former(nn.Module):
    def __init__(self):
        super(Former, self).__init__()
        self.linear1 = nn.Linear(10,512)
        self.linear2 = nn.Linear(10,512)
        self.transformer = nn.Transformer()
    def forward(self,input):
        input1 = self.linear1(input)
        input2 = self.linear2(input)
        output = self.transformer(input1,input2)
        
        return output
src = torch.rand(1,1,10)
model = Former()
torch.onnx.export(model,src,"transformer.onnx",verbose = True,input_names=["input"], opset_version= 11)

Then I tried to use onnx2keras to translate.

from onnx2keras import onnx_to_keras
import keras
import onnx

onnx_model = onnx.load('linear.onnx')
k_model = onnx_to_keras(onnx_model, ['input'])

keras.models.save_model(k_model,'./kerasModel.h5',overwrite=True,include_optimizer=True)

And I have this error.

Traceback (most recent call last):
  File "/home/kh/Documents/onnx2keras1.py", line 7, in <module>
    k_model = onnx_to_keras(onnx_model, ['input'])
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/onnx2keras/converter.py", line 175, in onnx_to_keras
    AVAILABLE_CONVERTERS[node_type](
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/onnx2keras/elementwise_layers.py", line 60, in convert_elementwise_add
    input_0 = ensure_tf_type(layers[node.input[0]], layers[list(layers)[0]], name="%s_const1" % keras_name)
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/onnx2keras/utils.py", line 45, in ensure_tf_type
    return lambda_layer(fake_input_layer)
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/keras/engine/base_layer.py", line 976, in __call__
    return self._functional_construction_call(inputs, args, kwargs,
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1114, in _functional_construction_call
    outputs = self._keras_tensor_symbolic_call(
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/keras/engine/base_layer.py", line 848, in _keras_tensor_symbolic_call
    return self._infer_output_signature(inputs, args, kwargs, input_masks)
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/keras/engine/base_layer.py", line 888, in _infer_output_signature
    outputs = call_fn(inputs, *args, **kwargs)
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/keras/layers/core.py", line 903, in call
    result = self.function(inputs, **kwargs)
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/onnx2keras/utils.py", line 42, in target_layer
    return tf.constant(inp, dtype=inp.dtype)
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/tensorflow/python/framework/constant_op.py", line 271, in constant
    return _constant_impl(value, dtype, shape, name, verify_shape=False,
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/tensorflow/python/framework/constant_op.py", line 288, in _constant_impl
    tensor_util.make_tensor_proto(
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/tensorflow/python/framework/tensor_util.py", line 564, in make_tensor_proto
    append_fn(tensor_proto, proto_values)
  File "tensorflow/python/framework/fast_tensor_util.pyx", line 127, in tensorflow.python.framework.fast_tensor_util.AppendObjectArrayToTensorProto
  File "/home/kh/anaconda3/envs/3.8/lib/python3.8/site-packages/tensorflow/python/util/compat.py", line 86, in as_bytes
    raise TypeError('Expected binary or unicode string, got %r' %
TypeError: Expected binary or unicode string, got 1536