Traceback (most recent call last):


 "./onnx2tf.py", line 17, in <module>

output = prepare(onnx_model)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/backend.py", line 55, in prepare

return cls.onnx_model_to_tensorflow_rep(model, strict)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/backend.py", line 75, in onnx_model_to_tensorflow_rep

return cls._onnx_graph_to_tensorflow_rep(model.graph, opset_import, strict)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/backend.py", line 129, in _onnx_graph_to_tensorflow_rep

onnx_node, tensor_dict, handlers, opset=opset, strict=strict)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/backend.py", line 224, in _onnx_node_to_tensorflow_op

return handler.handle(node, tensor_dict=tensor_dict, strict=strict)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/handlers/handler.py", line 60, in handle

return ver_handle(node, **kwargs)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/handlers/backend/conv.py", line 11, in version_1

return cls.conv(node, kwargs["tensor_dict"])


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/handlers/backend/conv_mixin.py", line 150, in conv

for (x, weight) in zip(xs, weight_groups)


 "/home/jerry/.local/lib/python3.6/site-packages/onnx_tf/handlers/backend/conv_mixin.py", line 150, in <listcomp>

for (x, weight) in zip(xs, weight_groups)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 851, in convolution

return op(input, filter)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 966, in __call__

return self.conv_op(inp, filter)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 591, in __call__

return self.call(inp, filter)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 208, in __call__

name=self.name)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1026, in conv2d

data_format=data_format, dilations=dilations, name=name)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper

op_def=op_def)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func

return func(*args, **kwargs)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op

op_def=op_def)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1823, in __init__

control_input_ops)


 "/home/jerry/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1662, in _create_c_op

raise ValueError(str(e))
ValueError: Negative dimension size caused by subtracting 3 from 1 for 'convolution_8' (op: 'Conv2D') with input shapes: [1,1,1,256], [3,3,256,256].

Traceback (most recent call last):


 "C:\Users\Cody\workspace\QuickSilver_HMT\hmm_list_sqlite.py", line 141, in hmm_list_pickle

orderbook_hmm.fit(new_wavelets_coff_array, lengths_list)


 "build\bdist.win32\egg\hmmlearn\hmm.py", line 998, in fit

raise ValueError("'lengths' argument is not supported yet")
ValueError: 'lengths' argument is not supported yet
