guan404ming commented on code in PR #18429:
URL: https://github.com/apache/tvm/pull/18429#discussion_r2514798838
##########
tests/python/relax/test_frontend_from_exported_program.py:
##########
@@ -6663,5 +6527,29 @@ def forward(self, x):
np.testing.assert_allclose(pytorch_output2.numpy(), tvm_output2_np,
rtol=1e-4, atol=1e-5)
+def test_dynamic_shape_with_range_constraints():
+ class DynamicModel(torch.nn.Module):
+ def forward(self, x1, x2):
+ return torch.ops.aten.add.Tensor(x1, x2)
+
+ example_args = (torch.randn(8, 4), torch.randn(8, 4))
+ batch = torch.export.Dim("batch", min=1, max=64)
+ dynamic_shapes = {"x1": {0: batch}, "x2": {0: batch}}
+ exported_program = export(DynamicModel(), args=example_args,
dynamic_shapes=dynamic_shapes)
+
+ mod = from_exported_program(exported_program)
Review Comment:
Thanks for providing useful info!
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