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[Relax][Onnx] Pass output_padding param in ConvTranspose #18635

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Merged
tlopex merged 2 commits into from
Jan 5, 2026
+6 −3
Merged

[Relax][Onnx] Pass output_padding param in ConvTranspose #18635

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a650764
[Relax][Onnx] Pass output_padding param in ConvTranspose
locnd182644 Jan 5, 2026
0148bc7
Fix test
locnd182644 Jan 5, 2026
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1 change: 1 addition & 0 deletions python/tvm/relax/frontend/onnx/onnx_frontend.py
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Expand Up @@ -1334,6 +1334,7 @@ def _impl_v1(cls, bb, inputs, attr, params):
weight=inputs[1],
strides=attr.get("strides", 1),
padding=attr.get("pads", 0),
output_padding=attr.get("output_padding", 0),
dilation=attr.get("dilations", 1),
groups=attr.get("group", 1),
data_layout=data_layout,
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2 changes: 1 addition & 1 deletion src/relax/op/nn/convolution.cc
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Expand Up @@ -786,7 +786,7 @@ Expr conv2d_transpose(Expr data, Expr weight, ffi::Array<IntImm> strides,
CHECK_GT(groups, 0) << "The number of groups in convolution is expected to be positive. However, "
"the given number of groups is "
<< groups;
CHECK_EQ(output_padding.size(), 2) << "The input output_padding length is expected to be 4. "
CHECK_EQ(output_padding.size(), 2) << "The input output_padding length is expected to be 2. "
"However, the given output_padding is "
<< output_padding;
CHECK_EQ(strides.size(), 2)
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6 changes: 4 additions & 2 deletions tests/python/relax/test_frontend_onnx.py
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Expand Up @@ -1171,11 +1171,12 @@ def _verify_conv(input_shape, weight_shape):
_verify_conv([3, 4, 32, 32, 32], [2, 4, 3, 3, 3]) # group=2


@pytest.mark.parametrize("stride", [1, 2])
@pytest.mark.parametrize("stride", [2])
@pytest.mark.parametrize("dilation", [1])
@pytest.mark.parametrize("bias", [True, False])
@pytest.mark.parametrize("pad", [0, 2])
def test_conv_transpose(stride: int, dilation: int, pad: int, bias: bool):
@pytest.mark.parametrize("output_pad", [0, 1])
def test_conv_transpose(stride: int, dilation: int, pad: int, bias: bool, output_pad: int):
def _verify_conv_transpose(input_shape, weight_shape):
nd = len(weight_shape) - 2
output_shape = [input_shape[0], weight_shape[0]] + [
Expand All @@ -1190,6 +1191,7 @@ def _verify_conv_transpose(input_shape, weight_shape):
strides=[stride] * nd,
dilations=[dilation] * nd,
pads=[pad] * nd * 2,
output_padding=[output_pad] * nd,
group=input_shape[1] // weight_shape[1],
)
graph = helper.make_graph(
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