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Add conv2d e2e test from convnext model #3899

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Add conv2d e2e test from convnext model #3899

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32 changes: 32 additions & 0 deletions projects/pt1/python/torch_mlir_e2e_test/test_suite/conv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -256,6 +256,38 @@ def Convolution2DStaticModule_basic(module, tu: TestUtils):
module.forward(tu.rand(3, 3, 10, 10), tu.rand(3, 3, 2, 2))


class Convolution2DNextStaticModule(torch.nn.Module):
def __init__(self):
super().__init__()

@export
@annotate_args(
[
None,
([1, 80, 72, 72], torch.float32, True),
([80, 1, 7, 7], torch.float32, True),
([80], torch.float32, True),
]
)
def forward(self, inputVec, weight, bias):
return torch.ops.aten.convolution(
inputVec,
weight,
bias=bias,
stride=[1, 1],
padding=[3, 3],
dilation=[1, 1],
transposed=False,
output_padding=[0, 0],
groups=80,
)


@register_test_case(module_factory=lambda: Convolution2DNextStaticModule())
def Convolution2DNextStaticModule_basic(module, tu: TestUtils):
module.forward(tu.rand(1, 80, 72, 72), tu.rand(80, 1, 7, 7), tu.rand(80))


class Convolution2DStridedModule(torch.nn.Module):
def __init__(self):
super().__init__()
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