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Keep symbolic dims in Concat with a single input (#2418)
* Keep symbolic dims in Concat with a single input When there is only a single input, we need to discard the symbolic dimension in the specified axis. * Validate axis of Concat with a single input Co-authored-by: Ke Zhang <[email protected]>
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‎onnx/defs/tensor/defs.cc‎

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@@ -332,6 +332,11 @@ ONNX_OPERATOR_SET_SCHEMA(
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axis += rank;
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}
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if (numInputs == 1) {
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propagateShapeFromInputToOutput(ctx, 0, 0);
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return;
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}
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bool all_lengths_known = true;
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int total_length = 0;
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‎onnx/test/shape_inference_test.py‎

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@@ -199,6 +199,13 @@ def test_concat_param(self): # type: () -> None
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[])
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self._assert_inferred(graph, [make_tensor_value_info('z', TensorProto.FLOAT, ("a", 5))])
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def test_concat_param_single_input(self): # type: () -> None
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graph = self._make_graph(
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[("x", TensorProto.FLOAT, ("a", 2))],
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[make_node("Concat", ['x'], ['z'], axis=0)],
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[])
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self._assert_inferred(graph, [make_tensor_value_info('z', TensorProto.FLOAT, ("a", 2))])
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def test_reshape_dynamic_shape(self): # type: () -> None
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graph = self._make_graph(
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[('x', TensorProto.UINT8, (2, 4, 3)),

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