ChaiBapchya edited a comment on issue #13965: mxnet_coreml_converter unsupported type error URL: https://github.com/apache/incubator-mxnet/issues/13965#issuecomment-457773097 @matthewberryman _Short answer_ - op variable needs to contain layers that are in MXNET_LAYER_REGISTRY Why? _Long answer_ - Upon digging in the file https://github.com/apache/incubator-mxnet/blob/master/tools/coreml/converter/_mxnet_converter.py I found that : Most likely reason why it's giving `unsupported type error` is because in your __image-classification-symbol.json__ ``` "op" : "_copy" ``` is mentioned Your error is thrown because of this line https://github.com/apache/incubator-mxnet/blob/5dc138d95f6ac302e3f0e1c9dc9dcb774d83f69e/tools/coreml/converter/_mxnet_converter.py#L98 which is triggered when the layer variable isn't part of the MXNet layer registry (i.e. permissible layers) https://github.com/apache/incubator-mxnet/blob/5dc138d95f6ac302e3f0e1c9dc9dcb774d83f69e/tools/coreml/converter/_mxnet_converter.py#L95 Permissible layers are https://github.com/apache/incubator-mxnet/blob/5dc138d95f6ac302e3f0e1c9dc9dcb774d83f69e/tools/coreml/converter/_mxnet_converter.py#L28 ``` 'FullyConnected' : _layers.convert_dense, 'Activation' : _layers.convert_activation, 'SoftmaxOutput' : _layers.convert_softmax, 'Convolution' : _layers.convert_convolution, 'Pooling' : _layers.convert_pooling, 'Flatten' : _layers.convert_flatten, 'transpose' : _layers.convert_transpose, 'Concat' : _layers.convert_concat, 'BatchNorm' : _layers.convert_batchnorm, 'elemwise_add' : _layers.convert_elementwise_add, 'Reshape' : _layers.convert_reshape, 'Deconvolution' : _layers.convert_deconvolution, ``` Hope this helps. Solution - Use only above permitted layers.
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