diff --git a/py/torch_tensorrt/dynamo/lowering/_decomposition_groups.py b/py/torch_tensorrt/dynamo/lowering/_decomposition_groups.py
index 825be75076..1e1eff527f 100644
--- a/py/torch_tensorrt/dynamo/lowering/_decomposition_groups.py
+++ b/py/torch_tensorrt/dynamo/lowering/_decomposition_groups.py
@@ -116,8 +116,6 @@
     aten.select_scatter,
     aten.sgn,
     aten.sigmoid_backward,
-    aten.silu,
-    aten.silu_,
     aten.silu_backward,
     aten.sinc,
     aten.slice_backward,
diff --git a/py/torch_tensorrt/dynamo/lowering/_decompositions.py b/py/torch_tensorrt/dynamo/lowering/_decompositions.py
index 4cead5d0cb..b0cfdee4f0 100644
--- a/py/torch_tensorrt/dynamo/lowering/_decompositions.py
+++ b/py/torch_tensorrt/dynamo/lowering/_decompositions.py
@@ -9,7 +9,6 @@
     _get_decomp_for_cia,
 )
 from torch._ops import OpOverload
-
 from torch_tensorrt.dynamo._defaults import default_device
 from torch_tensorrt.dynamo.conversion.converter_utils import get_positive_dim
 from torch_tensorrt.dynamo.utils import to_torch_device
@@ -253,6 +252,16 @@ def empty_strided_decomposition(*args, **kwargs) -> torch.Tensor:  # type: ignor
     )
 
 
+@register_torch_trt_decomposition(
+    torch.ops.aten.silu.default, registry=TORCH_TRT_DECOMPOSITIONS
+)
+@register_torch_trt_decomposition(
+    torch.ops.aten.silu_.default, registry=TORCH_TRT_DECOMPOSITIONS
+)
+def silu(self: torch.Tensor) -> torch.Tensor:
+    return self * torch.sigmoid(self)
+
+
 @register_torch_trt_decomposition(
     torch.ops.aten.scatter_add.default, registry=TORCH_TRT_DECOMPOSITIONS
 )
@@ -423,8 +432,8 @@ def instance_norm_decomposition(
 
 @register_torch_trt_decomposition(
     torch.ops.aten.full_like, registry=TORCH_TRT_DECOMPOSITIONS
-)  # type: ignore
-def full_like_decomposition(*args, **kwargs) -> torch.Tensor:
+)
+def full_like_decomposition(*args: Any, **kwargs: Any) -> torch.Tensor:
     input = args[0]
     shape = args[0].shape
     fill_value = args[1]