mmdnn.conversion.caffe.errors.ConversionError: Output shape computation not implemented for type: Crop

[missingdaysqxy]

I found that there are some shape_not_implemented in LAYER_DESCRIPTORS of MMdnn/mmdnn/conversion/caffe/graph.py , and this will cause exceptions as title. How to solve these?

Platform: Red Hat 4.8.5-11 with 4 Nvidia Tesla P40 GPUs
Python version: Python 3.6.5: Anaconda, Inc.
MMdnn: #567 version 0.2.3
Source framework: caffe (I didn't install caffe in my linux, but use from mmdnn.conversion.caffe import caffe_pb2 as backend)
Destination framework: IR
Pre-trained model path : weights of face_segmentation

Running scripts: mmtoir -f caffe -w face_seg_fcn8s.caffemodel -n face_seg_fcn8s_deploy.prototxt -d fcn8s_ir --inputShape 3 500 500

Error messages:

[liuqixuan_i@ml-gpu-ser544 codes]$ mmtoir -f caffe -w face_seg_fcn8s.caffemodel -n face_seg_fcn8s_deploy.prototxt -d fcn8s_ir --inputShape 3 500 500

------------------------------------------------------------
    WARNING: PyCaffe not found!
    Falling back to a pure protocol buffer implementation.
    * Conversions will be drastically slower.
    * This backend is UNTESTED!
------------------------------------------------------------

Traceback (most recent call last):
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/caffe/graph.py", line 130, in compute_output_shape
    return LAYER_DESCRIPTORS[node.kind](node)
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/caffe/shape.py", line 35, in shape_not_implemented
    raise NotImplementedError
NotImplementedError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/liuqixuan_i/anaconda3/bin/mmtoir", line 11, in <module>
    sys.exit(_main())
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/_script/convertToIR.py", line 192, in _main
    ret = _convert(args)
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/_script/convertToIR.py", line 16, in _convert
    transformer = CaffeTransformer(args.network, args.weights, "tensorflow", inputshape[0], phase = args.caffePhase)
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/caffe/transformer.py", line 322, in __init__
    graph = GraphBuilder(def_path, self.input_shape, self.is_train_proto, phase).build()
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/caffe/graph.py", line 450, in build
    graph.compute_output_shapes(self.model)
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/caffe/graph.py", line 274, in compute_output_shapes
    node.output_shape = TensorShape(*NodeKind.compute_output_shape(node))
  File "/home/liuqixuan_i/anaconda3/lib/python3.6/site-packages/mmdnn/conversion/caffe/graph.py", line 132, in compute_output_shape
    raise ConversionError('Output shape computation not implemented for type: %s' % node.kind)
mmdnn.conversion.caffe.errors.ConversionError: Output shape computation not implemented for type: Crop

[juliankleine]

Any updates on this?