CoreML bug?

DummyTest.cpp

void DummyTest()
{
	using namespace CoreML::Specification;

	Model model;

	model.set_specificationversion( 1 );

	// first layer: swapping Seq with Channels
	NeuralNetworkLayer* permute = model.mutable_neuralnetwork()->add_layers();
	permute->set_name( "permute" );
	permute->add_input( "input" );
	permute->add_output( "permutated" );
	permute->mutable_permute()->add_axis( 1 );
	permute->mutable_permute()->add_axis( 0 );
	permute->mutable_permute()->add_axis( 2 );
	permute->mutable_permute()->add_axis( 3 );

	// second layer: slicing channels
	NeuralNetworkLayer* slice = model.mutable_neuralnetwork()->add_layers();
	slice->set_name( "slice" );
	slice->add_input( "permutated" );
	slice->add_output( "sliced" );
	slice->mutable_slice()->set_startindex( 1 ); // it works if startindex is 0, but I need another
	slice->mutable_slice()->set_endindex( 2 ); // slicing 1 element
	slice->mutable_slice()->set_stride( 1 ); // I need every element
	slice->mutable_slice()->set_axis( SliceLayerParams_SliceAxis_CHANNEL_AXIS ); // channels (ex-sequence)

	// third layer: permuting back ex-Channels x ex-Sequence x H x W -> ex-Seq x ex-Channels x H x W
	NeuralNetworkLayer* permuteBack = model.mutable_neuralnetwork()->add_layers();
	permuteBack->set_name( "permute_back" );
	permuteBack->add_input( "sliced" );
	permuteBack->add_output( "output" );
	permuteBack->mutable_permute()->add_axis( 1 );
	permuteBack->mutable_permute()->add_axis( 0 );
	permuteBack->mutable_permute()->add_axis( 2 );
	permuteBack->mutable_permute()->add_axis( 3 );

	// adding input
	FeatureDescription* inputDesc = model.mutable_description()->add_input();
	inputDesc->set_name( "input" );
	ArrayFeatureType* inType = inputDesc->mutable_type()->mutable_multiarraytype();
	inType->set_datatype( ArrayFeatureType_ArrayDataType_FLOAT32 );
	inType->add_shape( 11 ); // channels
	inType->add_shape( 9 ); // height
	inType->add_shape( 10 ); // width

	// adding output
	FeatureDescription* outputDesc = model.mutable_description()->add_output();
	outputDesc->set_name( "output" );
	ArrayFeatureType* outType = outputDesc->mutable_type()->mutable_multiarraytype();
	outType->set_datatype( ArrayFeatureType_ArrayDataType_FLOAT32 );
	outType->add_shape( 11 ); // channels
	outType->add_shape( 9 ); // height
	outType->add_shape( 10 ); // width
	
	// serialization
	std::ofstream outStream( "output.mlmodel", std::ios::out | std::ios::binary );
	google::protobuf::io::OstreamOutputStream rawOutput( &outStream );
	model.SerializePartialToZeroCopyStream( &rawOutput );

	model.Clear();
}