[E2E] add nan case in elementwise comparison e2e tests (#2575)

Author: qingyunqu

lib/Conversion/TorchToLinalg/Uncategorized.cpp

@@ -57,7 +57,7 @@ static Value createComparisonTemplate(OpBuilder &b, Location loc, Type type,
 
 static Value createGreaterThan(OpBuilder &b, Location loc, Type elementalType,
                                Value lhs, Value rhs) {
-  return createComparisonTemplate<arith::CmpFPredicate::UGT,
+  return createComparisonTemplate<arith::CmpFPredicate::OGT,
                                   arith::CmpIPredicate::ugt,
                                   arith::CmpIPredicate::sgt>(
       b, loc, elementalType, lhs, rhs);
@@ -66,23 +66,23 @@ static Value createGreaterThan(OpBuilder &b, Location loc, Type elementalType,
 static Value createGreaterThanOrEqual(OpBuilder &b, Location loc,
                                       Type elementalType, Value lhs,
                                       Value rhs) {
-  return createComparisonTemplate<arith::CmpFPredicate::UGE,
+  return createComparisonTemplate<arith::CmpFPredicate::OGE,
                                   arith::CmpIPredicate::uge,
                                   arith::CmpIPredicate::sge>(
       b, loc, elementalType, lhs, rhs);
 }
 
 static Value createLessThan(OpBuilder &b, Location loc, Type elementalType,
                             Value lhs, Value rhs) {
-  return createComparisonTemplate<arith::CmpFPredicate::ULT,
+  return createComparisonTemplate<arith::CmpFPredicate::OLT,
                                   arith::CmpIPredicate::ult,
                                   arith::CmpIPredicate::slt>(
       b, loc, elementalType, lhs, rhs);
 }
 
 static Value createLessThanOrEqual(OpBuilder &b, Location loc,
                                    Type elementalType, Value lhs, Value rhs) {
-  return createComparisonTemplate<arith::CmpFPredicate::ULE,
+  return createComparisonTemplate<arith::CmpFPredicate::OLE,
                                   arith::CmpIPredicate::ule,
                                   arith::CmpIPredicate::sle>(
       b, loc, elementalType, lhs, rhs);

projects/pt1/python/torch_mlir_e2e_test/test_suite/elementwise_comparison.py

@@ -160,7 +160,9 @@ def forward(self, x, y):
 
 @register_test_case(module_factory=lambda: ElementwiseGeFloatTensorModule())
 def ElementwiseGeFloatTensorModule_basic(module, tu: TestUtils):
-    module.forward(tu.rand(3, 5), tu.rand(5))
+    module.forward(
+        torch.tensor([[1.0, 2.2, torch.nan], [6.0, 2.0, 3.1]]).to(torch.float32),
+        torch.tensor([6.0, 2.1, torch.nan]).to(torch.float32))
 
 # ==============================================================================
 
@@ -200,7 +202,9 @@ def forward(self, x, y):
 
 @register_test_case(module_factory=lambda: ElementwiseGtFloatTensorModule())
 def ElementwiseGtFloatTensorModule_basic(module, tu: TestUtils):
-    module.forward(tu.rand(3, 5), tu.rand(5))
+    module.forward(
+        torch.tensor([[1.0, 2.2, torch.nan], [6.0, 2.0, 3.1]]).to(torch.float32),
+        torch.tensor([6.0, 2.1, torch.nan]).to(torch.float32))
 
 # ==============================================================================
 
@@ -378,6 +382,28 @@ def ElementwiseLeFloatTensorModule_basic(module, tu: TestUtils):
 
 # ==============================================================================
 
+class ElementwiseLeFloatTensorNanModule(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+
+    @export
+    @annotate_args([
+        None,
+        ([-1, -1], torch.float32, True),
+        ([-1], torch.float32, True),
+    ])
+    def forward(self, x, y):
+        return torch.le(x, y)
+
+
+@register_test_case(module_factory=lambda: ElementwiseLeFloatTensorNanModule())
+def ElementwiseLeFloatTensorNanModule_basic(module, tu: TestUtils):
+    module.forward(
+        torch.tensor([[1.0, 2.2, torch.nan], [6.0, 2.0, 3.1]]).to(torch.float32),
+        torch.tensor([6.0, 2.1, torch.nan]).to(torch.float32))
+
+# ==============================================================================
+
 class ElementwiseLeIntTensorModule(torch.nn.Module):
     def __init__(self):
         super().__init__()
@@ -414,7 +440,9 @@ def forward(self, x, y):
 
 @register_test_case(module_factory=lambda: ElementwiseLtFloatTensorModule())
 def ElementwiseLtFloatTensorModule_basic(module, tu: TestUtils):
-    module.forward(tu.rand(3, 5), tu.rand(5))
+    module.forward(
+        torch.tensor([[1.0, 2.2, torch.nan], [6.0, 2.0, 3.1]]).to(torch.float32),
+        torch.tensor([6.0, 2.1, torch.nan]).to(torch.float32))
 
 # ==============================================================================