diff --git a/orttraining/orttraining/python/training/ort_triton/_codegen.py b/orttraining/orttraining/python/training/ort_triton/_codegen.py
index 8e21013da2353..0bf402b750115 100644
--- a/orttraining/orttraining/python/training/ort_triton/_codegen.py
+++ b/orttraining/orttraining/python/training/ort_triton/_codegen.py
@@ -280,7 +280,7 @@ def ReduceKernelNode(  # noqa: N802
         "Where": "{indent}{o0} = tl.where({i0}, {i1}, {i2})\n",
         "Sigmoid": "{indent}{o0} = tl.sigmoid({i0})\n",
         "Log": "{indent}{o0} = tl.log({i0})\n",
-        "DropoutGrad": "{indent}p = 1 - {i2}\n{indent}{o0} = tl.where({i1}, {i0} / p, 0.0)\n",
+        "DropoutGrad": "{indent}p = 1.0 - {i2}\n{indent}{o0} = tl.where({i1}, {i0} / p, 0.0)\n",
         "Identity": "{indent}{o0} = {i0}\n",
     }
 
@@ -420,7 +420,7 @@ def DropoutNode(  # noqa: N802
         offset_str = f"{node.global_offset} + " if node.global_offset != sympy.Integer(0) else ""
         offset_str += self._get_offset_mask(node.offset_calc, node.inputs[0].name)[0]
         code_buffer += (
-            f"{space_indent}p = 1 - {p_var_name}\n"
+            f"{space_indent}p = 1.0 - {p_var_name}\n"
             f"{space_indent}random = tl.rand(t_seed_cuda, {offset_str})\n"
             f"{space_indent}{mask_var_name} = random < p\n"
             f"{space_indent}{output_var_name} = tl.where({mask_var_name}, {input_var_name} / p, 0.0)\n"