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new 65121c878a [Relay][Frontend] Add support for aten::concat (#16199)
65121c878a is described below
commit 65121c878aed37adb6434b0238e36611a59881d7
Author: Jongho Choi <sweetco...@snu.ac.kr>
AuthorDate: Sat Dec 9 10:34:26 2023 +0900
[Relay][Frontend] Add support for aten::concat (#16199)
* Update pytorch.py
* Add concat test
* rm whitespace
* Add diable docstring
* update comment
---
python/tvm/relay/frontend/pytorch.py | 1 +
tests/python/frontend/pytorch/test_forward.py | 22 ++++++++++++++++++++++
2 files changed, 23 insertions(+)
diff --git a/python/tvm/relay/frontend/pytorch.py
b/python/tvm/relay/frontend/pytorch.py
index 9583575bfc..c507da13a7 100644
--- a/python/tvm/relay/frontend/pytorch.py
+++ b/python/tvm/relay/frontend/pytorch.py
@@ -4051,6 +4051,7 @@ class PyTorchOpConverter:
"aten::squeeze": self.squeeze,
"aten::unsqueeze": self.unsqueeze,
"aten::cat": self.concatenate,
+ "aten::concat": self.concatenate,
"aten::slice": self.slice,
"aten::narrow": self.narrow,
"aten::split": self.split,
diff --git a/tests/python/frontend/pytorch/test_forward.py
b/tests/python/frontend/pytorch/test_forward.py
index 6109141dea..56afe72ecd 100644
--- a/tests/python/frontend/pytorch/test_forward.py
+++ b/tests/python/frontend/pytorch/test_forward.py
@@ -720,9 +720,31 @@ def test_forward_concatenate():
c = (args[0][:, :, 2] + 5) * 13
return torch.cat([t.unsqueeze(2) for t in [a, b, c]], 2)
+ class Concatenate3(Module):
+ """
+ torch.concat is preserved as aten::concat only when in a nested module.
+ (In the most cases, It is converted to aten::cat instead of
aten::concat.)
+ """
+
+ def __init__(self):
+ super().__init__()
+
+ class _Concatenate(Module):
+ def forward(self, *args):
+ a = (args[0][:, :, 0] + 2) * 7
+ b = (args[0][:, :, 1] + 3) * 11
+ c = (args[0][:, :, 2] + 5) * 13
+ return torch.concat([t.unsqueeze(2) for t in [a, b, c]], 2)
+
+ self.mod = _Concatenate()
+
+ def forward(self, *args):
+ return self.mod(*args)
+
input_data = torch.rand(input_shape).float()
verify_model(Concatenate1().float().eval(), input_data=input_data)
verify_model(Concatenate2().float().eval(), input_data=input_data)
+ verify_model(Concatenate3().float().eval(), input_data=input_data)
@tvm.testing.uses_gpu
