mshr-h commented on code in PR #18550:
URL: https://github.com/apache/tvm/pull/18550#discussion_r2594466635
##########
tests/python/relax/test_frontend_from_exported_program.py:
##########
@@ -4900,6 +4900,30 @@ def main(
verify_model(InterpolateBilinearAA(), example_args, {},
expected_bilinear_aa)
[email protected]("mode", ["nearest", "bilinear", "bicubic"])
[email protected]("scale_factor", [2.0, [2.0, 3.0]])
+def test_interpolate_scale_factor_list(mode, scale_factor):
+ """Test interpolation with both scalar and list scale_factor values."""
+
+ class Interpolate(Module):
+ def __init__(self, mode, scale_factor):
+ super().__init__()
+ self.mode = mode
+ self.scale_factor = scale_factor
+
+ def forward(self, input):
+ kwargs = {"scale_factor": self.scale_factor, "mode": self.mode}
+ # align_corners is only used for bilinear and bicubic modes
+ if self.mode in ["bilinear", "bicubic"]:
+ kwargs["align_corners"] = False
+ return torch.nn.functional.interpolate(input, **kwargs)
+
+ # Test with 32x32 input
+ example_args = (torch.randn(1, 3, 32, 32, dtype=torch.float32),)
+ model = Interpolate(mode, scale_factor)
+ verify_model_numerically(model, example_args, rtol=1e-5, atol=1e-5)
Review Comment:
Would be better to avoid E2E tests as much as possible because they
increased CI pressure.
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