feat: added paddle cast tensor method

ivy/functional/frontends/paddle/tensor/tensor.py

@@ -765,3 +765,20 @@ def remainder(self, y, name=None):
 
     def is_floating_point(self):
         return paddle_frontend.is_floating_point(self._ivy_array)
+
+    @with_supported_dtypes(
+        {
+            "2.5.1 and below": (
+                "bool",
+                "float16",
+                "float32",
+                "float64",
+                "int32",
+                "int64",
+                "uint8",
+            )
+        },
+        "paddle",
+    )
+    def cast(self, dtype):
+        return paddle_frontend.cast(self, dtype)

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py

@@ -1041,6 +1041,47 @@ def test_paddle_tensor_bitwise_xor(
     )
 
 
+# cast
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="cast",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+    ),
+    dtype=helpers.get_dtypes("valid", full=False),
+)
+def test_paddle_tensor_cast(
+    dtype_and_x,
+    dtype,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    if dtype is None:
+        dtype = input_dtype
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={
+            "data": x[0],
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={
+            "dtype": dtype[0],
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # ceil
 @handle_frontend_method(
     class_tree=CLASS_TREE,