[torchlib] Fix mod on SymInt (#2686)

Fix the error: `<class 'AttributeError'>: 'int' object has no attribute
'dtype'` by splitting the implementation out for `operator.*` ops.

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>

Author: justinchuby

onnxscript/function_libs/torch_lib/ops/core.py

@@ -3732,7 +3732,7 @@ def aten_gcd(self: TensorType, other: TensorType) -> TensorType:
 
 
 @torch_op(
-    ("aten::ge.Tensor", "aten::ge.Scalar", "aten::greater_equal.Tensor", "_operator::ge"),
+    ("aten::ge.Tensor", "aten::ge.Scalar", "aten::greater_equal.Tensor"),
     trace_only=True,
 )
 def aten_ge(self: TTensor, other: TTensor) -> BOOL:
@@ -3749,6 +3749,12 @@ def aten_ge(self: TTensor, other: TTensor) -> BOOL:
     return op.GreaterOrEqual(self, other)
 
 
+@torch_op("_operator::ge", trace_only=True)
+def operator_ge(self: TTensor, other: TTensor) -> BOOL:
+    # operator.ge for SymInt
+    return op.GreaterOrEqual(self, other)
+
+
 def aten_geqrf(self: TensorType) -> tuple[TensorType, TensorType]:
     """geqrf(Tensor self) -> (Tensor a, Tensor tau)"""
 
@@ -4058,7 +4064,7 @@ def aten_gru_cell(
 
 
 @torch_op(
-    ("aten::gt.Tensor", "aten::gt.Scalar", "aten::greater.Tensor", "_operator::gt"),
+    ("aten::gt.Tensor", "aten::gt.Scalar", "aten::greater.Tensor"),
     trace_only=True,
 )
 def aten_gt(self: TTensor, other: TTensor) -> BOOL:
@@ -4076,6 +4082,12 @@ def aten_gt(self: TTensor, other: TTensor) -> BOOL:
     return op.Greater(self, other)
 
 
+@torch_op("_operator::gt", trace_only=True)
+def operator_gt(self: TTensor, other: TTensor) -> BOOL:
+    # operator.gt for SymInt
+    return op.Greater(self, other)
+
+
 @torch_op("aten::hamming_window", trace_only=True)
 def aten_hamming_window(
     window_length: int,
@@ -4891,7 +4903,7 @@ def aten_ldexp(self: TensorType, other: TensorType) -> TensorType:
 
 
 @torch_op(
-    ("aten::le.Tensor", "aten::le.Scalar", "aten::less_equal.Tensor", "_operator::le"),
+    ("aten::le.Tensor", "aten::le.Scalar", "aten::less_equal.Tensor"),
     trace_only=True,
 )
 def aten_le(self: TTensor, other: TTensor) -> BOOL:
@@ -4909,6 +4921,12 @@ def aten_le(self: TTensor, other: TTensor) -> BOOL:
     return op.LessOrEqual(self, other)
 
 
+@torch_op("_operator::le", trace_only=True)
+def operator_le(self: TTensor, other: TTensor) -> BOOL:
+    # operator.le for SymInt
+    return op.LessOrEqual(self, other)
+
+
 @torch_op(("aten::lerp.Tensor", "aten::lerp.Scalar"))
 def aten_lerp(self: TTensor, end: TTensor, weight: TTensor) -> TTensor:
     """lerp.Tensor(Tensor self, Tensor end, Tensor weight) -> Tensor"""
@@ -5384,7 +5402,7 @@ def aten_lstm(
 
 
 @torch_op(
-    ("aten::lt.Tensor", "aten::lt.Scalar", "aten::less.Tensor", "_operator::lt"),
+    ("aten::lt.Tensor", "aten::lt.Scalar", "aten::less.Tensor"),
     trace_only=True,
 )
 def aten_lt(self: TTensor, other: TTensor) -> BOOL:
@@ -5401,6 +5419,12 @@ def aten_lt(self: TTensor, other: TTensor) -> BOOL:
     return op.Less(self, other)
 
 
+@torch_op("_operator::lt", trace_only=True)
+def operator_lt(self: TTensor, other: TTensor) -> BOOL:
+    # operator.lt for SymInt
+    return op.Less(self, other)
+
+
 def aten_lu_solve(self: TensorType, LU_data: TensorType, LU_pivots: TensorType) -> TensorType:
     """lu_solve(Tensor self, Tensor LU_data, Tensor LU_pivots) -> Tensor"""
 
@@ -7468,9 +7492,7 @@ def aten_refine_names(self: TensorType, names: Sequence[str]) -> TensorType:
     raise NotImplementedError()
 
 
-@torch_op(
-    ("aten::remainder.Tensor", "aten::remainder.Scalar", "_operator::mod"), trace_only=True
-)
+@torch_op(("aten::remainder.Tensor", "aten::remainder.Scalar"), trace_only=True)
 def aten_remainder(self: TTensor, other: TTensor) -> TTensor:
     """remainder.Tensor(Tensor self, Tensor other) -> Tensor"""
 
@@ -7486,6 +7508,12 @@ def aten_remainder(self: TTensor, other: TTensor) -> TTensor:
     return op.Sub(self, op.Mul(rounded_quotient, other))
 
 
+@torch_op("_operator::mod", trace_only=True)
+def operator_mod(self: TTensor, other: TTensor) -> TTensor:
+    # Modulus operator % on SymInt
+    return op.Mod(self, other)
+
+
 def aten_rename(self: TensorType, names: Optional[str]) -> TensorType:
     """rename(Tensor(a) self, Dimname[]? names) -> Tensor(a)"""