RuRo commented on issue #17827: [Numpy] Bugfix of slice operator export (MXNet to ONNX) URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-615886717 @QueensGambit I am not quite sure, what you mean by `cumbersome for deep models with changing shape sizes`. The approach I use in my PR extracts the shapes in exactly the way you describe. The `graph_shapes` is a `dict`, mapping node names to shape tuples. It is [built in advance](https://github.com/QueensGambit/incubator-mxnet/blob/af10a38e1b5af57e1a205339dacc93b88ce61958/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L208) ```python graph_shapes = MXNetGraph.get_outputs(sym.get_internals(), params, in_shape, output_label) ``` by calling [get_outputs](https://github.com/QueensGambit/incubator-mxnet/blob/af10a38e1b5af57e1a205339dacc93b88ce61958/python/mxnet/contrib/onnx/mx2onnx/export_onnx.py#L138) to effectively do exactly ```python _, out_shapes, _ = internals.infer_shape(**inputs) ```
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