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[circle-mlir/models] Add test models for dynamic-shape ConvTranspose #16456

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Merged
mhs4670go merged 2 commits into from
Mar 31, 2026
Merged

[circle-mlir/models] Add test models for dynamic-shape ConvTranspose #16456

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[circle-mlir/models] Add test models for dynamic-shape ConvTranspose
shs-park Mar 31, 2026
134c343
Fix format.
shs-park Mar 31, 2026
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2 changes: 2 additions & 0 deletions circle-mlir/circle-mlir/tools-test/circle-impexp-test/test.lst
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,8 @@ AddModel(ConvTranspose2d_F32_R4_op01)
AddModel(ConvTranspose2d_F32_R4_p10)
AddModel(ConvTranspose2d_F32_R4_p11)
AddModel(ConvTranspose2d_F32_R4_p11_nobias)
# AddModel(ConvTranspose2d_F32_R4_unk_bh)
# AddModel(ConvTranspose2d_F32_R4_unk_bw)
Comment on lines +51 to +52
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@shs-park shs-park Mar 31, 2026

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These will be uncommented after the ONNX ConvTranspose pass is implemented.

AddModel(Cos_F32_R4)
AddModel(CumSum_F32_R4_1)
AddModel(CumSum_F32_R4_2)
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2 changes: 2 additions & 0 deletions circle-mlir/circle-mlir/tools-test/onnx2circle-models/test.lst
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Expand Up @@ -50,6 +50,8 @@ AddModel(ConvTranspose2d_F32_R4_op01)
AddModel(ConvTranspose2d_F32_R4_p10)
AddModel(ConvTranspose2d_F32_R4_p11)
AddModel(ConvTranspose2d_F32_R4_p11_nobias)
# AddModel(ConvTranspose2d_F32_R4_unk_bh)
# AddModel(ConvTranspose2d_F32_R4_unk_bw)
AddModel(Cos_F32_R4)
AddModel(CumSum_F32_R4_1)
AddModel(CumSum_F32_R4_2)
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2 changes: 2 additions & 0 deletions circle-mlir/circle-mlir/tools-test/onnx2circle-value-test/test.lst
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Expand Up @@ -50,6 +50,8 @@ AddModel(ConvTranspose2d_F32_R4_op01)
AddModel(ConvTranspose2d_F32_R4_p10)
AddModel(ConvTranspose2d_F32_R4_p11)
AddModel(ConvTranspose2d_F32_R4_p11_nobias)
# AddModel(ConvTranspose2d_F32_R4_unk_bh)
# AddModel(ConvTranspose2d_F32_R4_unk_bw)
AddModel(Cos_F32_R4)
AddModel(CumSum_F32_R4_1)
AddModel(CumSum_F32_R4_2)
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35 changes: 35 additions & 0 deletions circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bh/__init__.py
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@@ -0,0 +1,35 @@
import torch


# Generate ConvTranspose2d operator with Float32, Rank-4, unknown
# input : [N, 4, H, 10]
# output : [N, 3, H, 10+7]
# dynamic axes: N, H
class net_ConvTranspose2d(torch.nn.Module):
def __init__(self):
super().__init__()
self.op = torch.nn.ConvTranspose2d(
in_channels=4,
out_channels=3,
kernel_size=(1, 8),
stride=(1, 1),
padding=(0, 0),
dilation=(1, 1),
groups=1,
bias=True,
)

def forward(self, input):
return self.op(input)

def onnx_opset_version(self):
# TODO set to appropriate value
return 14


_model_ = net_ConvTranspose2d()

_inputs_ = (torch.Tensor(1, 4, 1, 1))

_io_names_ = [['input'], ['output']]
_dynamic_axes_ = {"input": {0: "?", 2: "?"}, "output": {0: "?", 2: "?"}}
35 changes: 35 additions & 0 deletions circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bw/__init__.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,35 @@
import torch


# Generate ConvTranspose2d operator with Float32, Rank-4, unknown
# input : [N, 4, 1, W]
# output : [N, 3, 1, W+7]
# dynamic axes: N, W
class net_ConvTranspose2d(torch.nn.Module):
def __init__(self):
super().__init__()
self.op = torch.nn.ConvTranspose2d(
in_channels=4,
out_channels=3,
kernel_size=(1, 8),
stride=(1, 1),
padding=(0, 0),
dilation=(1, 1),
groups=1,
bias=True,
)

def forward(self, input):
return self.op(input)

def onnx_opset_version(self):
# TODO set to appropriate value
return 14


_model_ = net_ConvTranspose2d()

_inputs_ = (torch.Tensor(1, 4, 1, 1))

_io_names_ = [['input'], ['output']]
_dynamic_axes_ = {"input": {0: "?", 3: "?"}, "output": {0: "?", 3: "?"}}
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