update e2e test

llvm · Oct 13, 2023 · a18021e · a18021e
1 parent bc8dad1
commit a18021e
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diff --git a/e2e_testing/xfail_sets.py b/e2e_testing/xfail_sets.py
@@ -18,6 +18,7 @@
     # 'linalg.depthwise_conv_2d_nchw_chw' op inferred input/output operand #1 has shape's dimension #0 to be 4, but found 8
     "Conv2dWithPaddingDilationStrideStaticModule_depthwise_multiplier",
     "IscloseStaticModule_basic",
+    "IscloseStaticModuleTrue_basic",
 }
 
 TORCHDYNAMO_XFAIL_SET = {
@@ -929,6 +930,7 @@
 # and very few tests work yet.
 TOSA_PASS_SET = {
     "IscloseStaticModule_basic",
+    "IscloseStaticModuleTrue_basic",
     "TileBigDimsSizeModule_basic",
     "TileSmallDimsSizeModule_basic",
     "IndexPutImpl2DNoneIndexStaticModule_basic",

diff --git a/python/torch_mlir_e2e_test/test_suite/basic.py b/python/torch_mlir_e2e_test/test_suite/basic.py
@@ -4581,3 +4581,25 @@ def forward(self, x, y):
 @register_test_case(module_factory=lambda: IscloseStaticModule())
 def IscloseStaticModule_basic(module, tu: TestUtils):
     module.forward(tu.rand(5, 5), tu.rand(5, 5))
+
+
+# ==============================================================================
+
+
+class IscloseStaticModuleTrue(torch.nn.Module):
+
+    def __init__(self):
+        super().__init__()
+        self.register_buffer('tensor', torch.ones(1))
+
+    @export
+    @annotate_args([
+        None,
+        ([5, 5], torch.float32, True),
+    ])
+    def forward(self, x):
+        return torch.isclose(x, self.tensor)
+
+@register_test_case(module_factory=lambda: IscloseStaticModuleTrue())
+def IscloseStaticModuleTrue_basic(module, tu: TestUtils):
+    module.forward(torch.ones(5, 5))