[quote="lixiaoquan, post:7, topic:6918"]
`A protocol message was rejected because it was too big (more than 67108864
bytes)`
[/quote]
There are two mothods to solve this problem.:
1. follow the suggestion as error log: increase memory limits at
CodedInputStream::SetTotalBytesLimit() and re-com
@zhupijuan_lkl When I run one of the tests in caffe test_forward.py, it reports
an error from protobuf. I know it is not TVM's issue, really appreciate if you
can give me some hint.
```
tvm/tests/python/frontend/caffe/test_forward.py:816: in _test_alexnet
_test_network(data_process, proto_
I think put `caffe_pb2.py` in the `frontend` folder is fine. We have already
some other stuff like `mxnet_qnn_op_utils.py` / `tflite_flexbuffers.py` and so
on.
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Yes, we will provide a .proto file or caffe_pb2.py directly. Now, we're just
going to ask if I can provide caffe_pb2.py directly, which folder should we put
it in？
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Good Job! One quick question, many folks use caffe often define its own proto
(though this is rare in other frameworks). Do we consider this situation?
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## Caffe Frontend
### Background & Motivation
Caffe is a deep learning framework made with expression, speed, and modularity
in mind. Because of its simplicity, good scalability, fast and other
characteristics, it is favored by many people. According to RISELab who makes
statistics of papers
