diff --git a/e2e_testing/xfail_sets.py b/e2e_testing/xfail_sets.py
index 7ace41ffead3..1d4a74349b8d 100644
--- a/e2e_testing/xfail_sets.py
+++ b/e2e_testing/xfail_sets.py
@@ -20,7 +20,9 @@
     "RepeatInterleaveStaticModule_basic",
     "RepeatInterleaveFillModule_basic",
     # tm_tensor.scatter' op mismatch in shape of indices and update value at dim#0
-    "IndexPutImpl2DNoneIndexBroadcastStaticModule_basic"
+    "IndexPutImpl2DNoneIndexBroadcastStaticModule_basic",
+    # Unimplemented operator 'aten.eye.m'
+    "EyeStaticModule_basic",
 }
 
 TORCHDYNAMO_XFAIL_SET = {
@@ -1235,6 +1237,7 @@
 ### Tests additionally passing in make_fx_tosa
     "CumsumStaticModule_basic",
     "CumsumStaticNegativeDimModule_basic",
+    "EyeStaticModule_basic",
     "NativeGroupNormBackwardModule_basic",
     "SliceWholeTensorModule_basic",
     "TensorFloatModule_basic",
diff --git a/python/torch_mlir/dynamo.py b/python/torch_mlir/dynamo.py
index 9ae51e3b7ca4..023af1faa7df 100644
--- a/python/torch_mlir/dynamo.py
+++ b/python/torch_mlir/dynamo.py
@@ -69,6 +69,7 @@ def _get_decomposition_table():
         aten.index_select,
         aten.linalg_vector_norm,
         aten.index_select,
+        aten.eye,
     ]
     # TODO: enable test once 2.1.0 is stable
     if torch_version_for_comparison() >= version.parse("2.1.0.dev"):
diff --git a/python/torch_mlir_e2e_test/test_suite/constant_alloc.py b/python/torch_mlir_e2e_test/test_suite/constant_alloc.py
index b50a2a1f02cd..1b92c8f17135 100644
--- a/python/torch_mlir_e2e_test/test_suite/constant_alloc.py
+++ b/python/torch_mlir_e2e_test/test_suite/constant_alloc.py
@@ -1527,3 +1527,19 @@ def forward(self, a):
 @register_test_case(module_factory=lambda: NewEmptyStridedModuleDefaultDtype())
 def NewEmptyStridedModuleDefaultDtype_basic(module, tu: TestUtils):
     module.forward(tu.rand(2, 3, 4))
+
+# ==============================================================================
+
+
+class EyeStaticModule(torch.nn.Module):
+    @export
+    @annotate_args([
+        None,
+    ])
+    def forward(self):
+        return torch.ops.aten.eye(3, 5)
+
+
+@register_test_case(module_factory=lambda: EyeStaticModule())
+def EyeStaticModule_basic(module, tu: TestUtils):
+    module.forward()