update type enforcement

Author: zewenli98

py/torch_tensorrt/dynamo/conversion/aten_ops_converters.py

@@ -1649,6 +1649,11 @@ def aten_ops_logical_xor(
 
 @dynamo_tensorrt_converter(torch.ops.aten.eq.Tensor)  # type: ignore[misc]
 @dynamo_tensorrt_converter(torch.ops.aten.eq.Scalar)  # type: ignore[misc]
+@enforce_tensor_types(
+    {
+        0: (TRTTensor,),
+    }
+)  # type: ignore[misc]
 def aten_ops_eq(
     ctx: ConversionContext,
     target: Target,
@@ -1668,6 +1673,11 @@ def aten_ops_eq(
 
 @dynamo_tensorrt_converter(torch.ops.aten.ne.Tensor)  # type: ignore[misc]
 @dynamo_tensorrt_converter(torch.ops.aten.ne.Scalar)  # type: ignore[misc]
+@enforce_tensor_types(
+    {
+        0: (TRTTensor,),
+    }
+)  # type: ignore[misc]
 def aten_ops_ne(
     ctx: ConversionContext,
     target: Target,
@@ -1687,6 +1697,11 @@ def aten_ops_ne(
 
 @dynamo_tensorrt_converter(torch.ops.aten.gt.Tensor)  # type: ignore[misc]
 @dynamo_tensorrt_converter(torch.ops.aten.gt.Scalar)  # type: ignore[misc]
+@enforce_tensor_types(
+    {
+        0: (TRTTensor,),
+    }
+)  # type: ignore[misc]
 def aten_ops_gt(
     ctx: ConversionContext,
     target: Target,
@@ -1706,6 +1721,11 @@ def aten_ops_gt(
 
 @dynamo_tensorrt_converter(torch.ops.aten.ge.Tensor)  # type: ignore[misc]
 @dynamo_tensorrt_converter(torch.ops.aten.ge.Scalar)  # type: ignore[misc]
+@enforce_tensor_types(
+    {
+        0: (TRTTensor,),
+    }
+)  # type: ignore[misc]
 def aten_ops_ge(
     ctx: ConversionContext,
     target: Target,
@@ -1725,6 +1745,11 @@ def aten_ops_ge(
 
 @dynamo_tensorrt_converter(torch.ops.aten.lt.Tensor)  # type: ignore[misc]
 @dynamo_tensorrt_converter(torch.ops.aten.lt.Scalar)  # type: ignore[misc]
+@enforce_tensor_types(
+    {
+        0: (TRTTensor,),
+    }
+)  # type: ignore[misc]
 def aten_ops_lt(
     ctx: ConversionContext,
     target: Target,
@@ -1744,6 +1769,11 @@ def aten_ops_lt(
 
 @dynamo_tensorrt_converter(torch.ops.aten.le.Tensor)  # type: ignore[misc]
 @dynamo_tensorrt_converter(torch.ops.aten.le.Scalar)  # type: ignore[misc]
+@enforce_tensor_types(
+    {
+        0: (TRTTensor,),
+    }
+)  # type: ignore[misc]
 def aten_ops_le(
     ctx: ConversionContext,
     target: Target,

py/torch_tensorrt/dynamo/conversion/impl/elementwise/ops.py

@@ -1,4 +1,4 @@
-from typing import Optional, Union
+from typing import Optional, Sequence, Union
 
 import numpy as np
 import tensorrt as trt
@@ -428,8 +428,8 @@ def eq(
     target: Target,
     source_ir: Optional[SourceIR],
     name: str,
-    lhs_val: Union[TRTTensor, int, float],
-    rhs_val: Union[TRTTensor, int, float],
+    lhs_val: TRTTensor,
+    rhs_val: Union[TRTTensor, int, float, bool, Sequence[Union[int, float, bool]]],
 ) -> TRTTensor:
     return convert_binary_elementwise(
         ctx,
@@ -447,8 +447,8 @@ def ne(
     target: Target,
     source_ir: Optional[SourceIR],
     name: str,
-    lhs_val: Union[TRTTensor, int, float],
-    rhs_val: Union[TRTTensor, int, float],
+    lhs_val: TRTTensor,
+    rhs_val: Union[TRTTensor, int, float, bool, Sequence[Union[int, float, bool]]],
 ) -> TRTTensor:
     return impl.unary.logical_not(
         ctx,
@@ -464,8 +464,8 @@ def gt(
     target: Target,
     source_ir: Optional[SourceIR],
     name: str,
-    lhs_val: Union[TRTTensor, int, float],
-    rhs_val: Union[TRTTensor, int, float],
+    lhs_val: TRTTensor,
+    rhs_val: Union[TRTTensor, int, float, Sequence[Union[int, float]]],
 ) -> TRTTensor:
     return convert_binary_elementwise(
         ctx,
@@ -483,8 +483,8 @@ def ge(
     target: Target,
     source_ir: Optional[SourceIR],
     name: str,
-    lhs_val: Union[TRTTensor, int, float],
-    rhs_val: Union[TRTTensor, int, float],
+    lhs_val: TRTTensor,
+    rhs_val: Union[TRTTensor, int, float, Sequence[Union[int, float]]],
 ) -> TRTTensor:
     return logical_or(
         ctx,
@@ -501,8 +501,8 @@ def lt(
     target: Target,
     source_ir: Optional[SourceIR],
     name: str,
-    lhs_val: Union[TRTTensor, int, float],
-    rhs_val: Union[TRTTensor, int, float],
+    lhs_val: TRTTensor,
+    rhs_val: Union[TRTTensor, int, float, Sequence[Union[int, float]]],
 ) -> TRTTensor:
     return convert_binary_elementwise(
         ctx,
@@ -520,8 +520,8 @@ def le(
     target: Target,
     source_ir: Optional[SourceIR],
     name: str,
-    lhs_val: Union[TRTTensor, int, float],
-    rhs_val: Union[TRTTensor, int, float],
+    lhs_val: TRTTensor,
+    rhs_val: Union[TRTTensor, int, float, Sequence[Union[int, float]]],
 ) -> TRTTensor:
     return logical_or(
         ctx,