Traceback (most recent call last):


 "testSliceConvertNew2.py", line 61, in <module>

inputs=[ ct.TensorType(name="input1", shape=dummy_input.shape) ],


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/_converters_entry.py", line 299, in convert

**kwargs


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/mil/converter.py", line 120, in _convert

prog = frontend_converter(model, **kwargs)


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/mil/converter.py", line 62, in __call__

return load(*args, **kwargs)


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/mil/frontend/torch/load.py", line 84, in load

raise e


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/mil/frontend/torch/load.py", line 76, in load

prog = converter.convert()


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/mil/frontend/torch/converter.py", line 302, in convert

convert_nodes(self.context, self.graph)


 "~/Library/Python/3.7/lib/python/site-packages/coremltools/converters/mil/frontend/torch/ops.py", line 52, in convert_nodes

"PyTorch convert function for op {} not implemented".format(node.kind)
RuntimeError: PyTorch convert function for op narrow not implemented

Traceback (most recent call last):


 "mnist_full_spine_conv.py", line 91, in <module>

train(epoch)


 "mnist_full_spine_conv.py", line 74, in train

F.nll_loss(model(data), data.y).backward()


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "mnist_full_spine_conv.py", line 43, in forward

data.x = F.elu(self.conv2(data.x, data.edge_index, data.edge_attr))


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch_geometric/nn/conv/spline_conv.py", line 133, in forward

return self.propagate(edge_index, x=x, pseudo=pseudo)


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch_geometric/nn/conv/message_passing.py", line 125, in propagate

out = scatter_(self.aggr, out, edge_index[i], dim_size=size[i])


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch_geometric/utils/scatter.py", line 28, in scatter_

out = op(src, index, 0, None, dim_size, fill_value)


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch_scatter/mean.py", line 68, in scatter_mean

out = scatter_add(src, index, dim, out, dim_size, fill_value)


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch_scatter/add.py", line 72, in scatter_add

src, out, index, dim = gen(src, index, dim, out, dim_size, fill_value)


 "/home/ganji/anaconda3/envs/graph/lib/python3.7/site-packages/torch_scatter/utils/gen.py", line 24, in gen

out = src.new_full(out_size, fill_value)
RuntimeError: cuda runtime error (77) : an illegal memory access was encountered at /opt/conda/conda-bld/pytorch_1556653215914/work/aten/src/THC/generic/THCTensorMath.cu:16
