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[Relax] ingest Tensor.contiguous from torch export #17728

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Merged
merged 4 commits into from
Mar 10, 2025
Merged

[Relax] ingest Tensor.contiguous from torch export #17728

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829d590
ingest contiguous from torch export
hugolatendresse Mar 9, 2025
1d6aa0b
Black formatter
hugolatendresse Mar 9, 2025
92bcdb3
ran Black Python formatter with version 22
hugolatendresse Mar 10, 2025
f294dd2
simplified diff by removing unnecessary linting changes
hugolatendresse Mar 10, 2025
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1 change: 1 addition & 0 deletions python/tvm/relax/frontend/torch/exported_program_translator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -285,6 +285,7 @@ def create_convert_map(
# tensor creation
"_to_copy.default": self._to_copy,
"arange.start": self._arange,
"contiguous.default": lambda node: self.env[node.args[0]], # no-op
"clone.default": lambda node: self.env[node.args[0]],
"empty.memory_format": self._empty,
"fill.Scalar": self._fill,
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20 changes: 20 additions & 0 deletions tests/python/relax/test_frontend_from_exported_program.py
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Expand Up @@ -2930,6 +2930,26 @@ def main(
verify_model(Arange(), example_args, {}, Expected)


def test_contiguous():
class Contiguous(Module):
def forward(self, input):
return input.contiguous()

@tvm.script.ir_module
class Expected:
@R.function
def main(
input: R.Tensor((10, 10), dtype="float32"),
) -> R.Tuple(R.Tensor((10, 10), dtype="float32")):
with R.dataflow():
gv: R.Tuple(R.Tensor((10, 10), dtype="float32")) = (input,)
R.output(gv)
return gv

example_args = (torch.randn(10, 10, dtype=torch.float32),)
verify_model(Contiguous(), example_args, {}, Expected)


def test_clone():
class Clone(Module):
def forward(self, input):
Expand Down