diff --git a/src/frontends/pytorch/src/op/is_nonzero.cpp b/src/frontends/pytorch/src/op/is_nonzero.cpp
index 7635860e36d52f..8f5a33f43a1a8b 100644
--- a/src/frontends/pytorch/src/op/is_nonzero.cpp
+++ b/src/frontends/pytorch/src/op/is_nonzero.cpp
@@ -22,18 +22,16 @@ using namespace ov::op;
 
 OutputVector translate_is_nonzero(const NodeContext& context) {
     num_inputs_check(context, 1, 1);
-    auto const_0 = context.mark_node(v0::Constant::create(element::i32, Shape{1}, {0}));
-    auto const_1 = context.mark_node(v0::Constant::create(element::i32, Shape{1}, {1}));
     auto input = context.get_input(0);
 
-    // check if length input is 1
-    auto input_shape = context.mark_node(std::make_shared<v3::ShapeOf>(input, element::i32));
-    auto is_length_one = context.mark_node(std::make_shared<v1::Equal>(input_shape, const_1));
-
-    // check if element is not equal to 0 or false
     auto zero_tensor = context.mark_node(v0::Constant::create(element::f32, Shape{1}, {0.0}));
+    auto one_tensor = context.mark_node(v0::Constant::create(element::i64, Shape{1}, {1}));
     auto false_tensor = context.mark_node(v0::Constant::create(element::boolean, Shape{1}, {false}));
 
+    // check if length input is 1
+    auto input_shape = context.mark_node(std::make_shared<v3::ShapeOf>(input));
+    auto is_length_one = context.mark_node(std::make_shared<v1::Equal>(input_shape, one_tensor));
+
     // perform type conversion
     auto converted_input = context.mark_node(std::make_shared<v0::Convert>(input, element::f32));