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[Relax][Frontend]Fix: Output tensor with zero dimension after torch.u… #17990

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merged 2 commits into from
May 20, 2025
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[Relax][Frontend]Fix: Output tensor with zero dimension after torch.u… #17990

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[Relax][Frontend]Fix: Output tensor with zero dimension after torch.u…
eaten-cake May 19, 2025
2085972
Fix: Output tensor with zero dimension after torch.unbind to relax co…
eaten-cake May 19, 2025
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3 changes: 1 addition & 2 deletions python/tvm/relax/frontend/torch/base_fx_graph_translator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1269,8 +1269,7 @@ def _unbind(self, node: fx.Node) -> relax.Var:
dim = node.args[1] if len(node.args) > 1 else node.kwargs.get("dim", 0)
assert isinstance(dim, int), "Expected 2nd argument of unbind as int"
selections = self.shape_of(x)[dim].value
n_section = list(range(1, selections + 1))
ret, split = [], self.block_builder.emit(relax.op.split(x, n_section, dim))
ret, split = [], self.block_builder.emit(relax.op.split(x, selections, dim))
for i in range(selections):
ret.append(self.block_builder.emit(relax.op.squeeze(split[i], axis=dim)))
return self.block_builder.emit(relax.Tuple(ret))
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12 changes: 4 additions & 8 deletions tests/python/relax/test_frontend_from_exported_program.py
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Expand Up @@ -3108,8 +3108,7 @@ def main(
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((0, 3, 10, 10), dtype="float32"),
) = R.split(input_1, indices_or_sections=[1, 2, 3], axis=0)
) = R.split(input_1, indices_or_sections=3, axis=0)
lv1: R.Tensor((1, 3, 10, 10), dtype="float32") = lv[0]
lv2: R.Tensor((3, 10, 10), dtype="float32") = R.squeeze(lv1, axis=[0])
lv3: R.Tensor((1, 3, 10, 10), dtype="float32") = lv[1]
Expand Down Expand Up @@ -3152,8 +3151,7 @@ def main(
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 0, 10, 10), dtype="float32"),
) = R.split(input_1, indices_or_sections=[1, 2, 3], axis=1)
) = R.split(input_1, indices_or_sections=3, axis=1)
lv1: R.Tensor((3, 1, 10, 10), dtype="float32") = lv[0]
lv2: R.Tensor((3, 10, 10), dtype="float32") = R.squeeze(lv1, axis=[1])
lv3: R.Tensor((3, 1, 10, 10), dtype="float32") = lv[1]
Expand Down Expand Up @@ -3978,8 +3976,7 @@ def main(
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((0, 3, 10, 10), dtype="float32"),
) = R.split(input_1, indices_or_sections=[1, 2, 3], axis=0)
) = R.split(input_1, indices_or_sections=3, axis=0)
lv1: R.Tensor((1, 3, 10, 10), dtype="float32") = lv[0]
lv2: R.Tensor((3, 10, 10), dtype="float32") = R.squeeze(lv1, axis=[0])
lv3: R.Tensor((1, 3, 10, 10), dtype="float32") = lv[1]
Expand Down Expand Up @@ -4022,8 +4019,7 @@ def main(
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 0, 10, 10), dtype="float32"),
) = R.split(input_1, indices_or_sections=[1, 2, 3], axis=1)
) = R.split(input_1, indices_or_sections=3, axis=1)
lv1: R.Tensor((3, 1, 10, 10), dtype="float32") = lv[0]
lv2: R.Tensor((3, 10, 10), dtype="float32") = R.squeeze(lv1, axis=[1])
lv3: R.Tensor((3, 1, 10, 10), dtype="float32") = lv[1]
Expand Down
6 changes: 2 additions & 4 deletions tests/python/relax/test_frontend_from_fx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3746,8 +3746,7 @@ def main(
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((1, 3, 10, 10), dtype="float32"),
R.Tensor((0, 3, 10, 10), dtype="float32"),
) = R.split(input_1, indices_or_sections=[1, 2, 3], axis=0)
) = R.split(input_1, indices_or_sections=3, axis=0)
lv1: R.Tensor((1, 3, 10, 10), dtype="float32") = lv[0]
lv2: R.Tensor((3, 10, 10), dtype="float32") = R.squeeze(lv1, axis=[0])
lv3: R.Tensor((1, 3, 10, 10), dtype="float32") = lv[1]
Expand Down Expand Up @@ -3783,8 +3782,7 @@ def main(
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 1, 10, 10), dtype="float32"),
R.Tensor((3, 0, 10, 10), dtype="float32"),
) = R.split(input_1, indices_or_sections=[1, 2, 3], axis=1)
) = R.split(input_1, indices_or_sections=3, axis=1)
lv1: R.Tensor((3, 1, 10, 10), dtype="float32") = lv[0]
lv2: R.Tensor((3, 10, 10), dtype="float32") = R.squeeze(lv1, axis=[1])
lv3: R.Tensor((3, 1, 10, 10), dtype="float32") = lv[1]
Expand Down