diff --git a/ivy/functional/frontends/tensorflow/raw_ops.py b/ivy/functional/frontends/tensorflow/raw_ops.py
index 0dd7551d6c3b1..7e6a3488fe9a4 100644
--- a/ivy/functional/frontends/tensorflow/raw_ops.py
+++ b/ivy/functional/frontends/tensorflow/raw_ops.py
@@ -13,8 +13,7 @@
 
 @to_ivy_arrays_and_back
 def AddN(*, inputs, name="AddN"):
-    inputs = ivy.array(inputs)
-    return ivy.sum(inputs, axis=0, dtype=inputs.dtype)
+    return ivy.sum(inputs, dtype=inputs.dtype)
 
 
 @to_ivy_arrays_and_back
@@ -427,3 +426,24 @@ def Relu6(features, name="Relu6"):
 @to_ivy_arrays_and_back
 def Softplus(features, name="Softplus"):
     return ivy.softplus(features)
+
+
+@to_ivy_arrays_and_back
+def Xdivy(*, x, y, name="Xdivy"):
+    if (x == 0).all():
+        return 0.0
+    return ivy.divide(x, y)
+
+
+@to_ivy_arrays_and_back
+def Xlog1py(*, x, y, name="Xlog1py"):
+    if (x == 0).all():
+        return 0.0
+    return ivy.multiply(x, ivy.log1p(y))
+
+
+@to_ivy_arrays_and_back
+def Xlogy(*, x, y, name="Xlogy"):
+    if (x == 0).all():
+        return 0.0
+    return ivy.multiply(x, ivy.log(y))
diff --git a/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py b/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py
index fb22d528c2279..7ea897d41fa0d 100644
--- a/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_raw_ops.py
@@ -1141,7 +1141,7 @@ def test_tensorflow_AddN(dtype_and_x, as_variable, num_positional_args, native_a
         native_array_flags=native_array,
         frontend="tensorflow",
         fn_tree="raw_ops.AddN",
-        inputs=x,
+        inputs=x[0],
     )
 
 
@@ -2275,3 +2275,84 @@ def test_tensorflow_Softplus(dtype_and_x, as_variable, native_array):
         fn_tree="raw_ops.Softplus",
         features=x[0],
     )
+
+    @handle_cmd_line_args
+    @given(
+        dtype_and_x=helpers.dtype_and_values(
+            available_dtypes=helpers.get_dtypes("float"),
+            num_arrays=2,
+            shared_dtype=True,
+        ),
+        num_positional_args=helpers.num_positional_args(
+            fn_name="ivy.functional.frontends.tensorflow.raw_ops.Xdivy"
+        ),
+    )
+    def test_tensorflow_Xdivy(
+        dtype_and_x, as_variable, num_positional_args, native_array
+    ):
+        input_dtype, xs = dtype_and_x
+        helpers.test_frontend_function(
+            input_dtypes=input_dtype,
+            as_variable_flags=as_variable,
+            with_out=False,
+            num_positional_args=num_positional_args,
+            native_array_flags=native_array,
+            frontend="tensorflow",
+            fn_tree="raw_ops.Xdivy",
+            x=xs[0],
+            y=xs[1],
+        )
+
+
+@handle_cmd_line_args
+@given(
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=2,
+        shared_dtype=True,
+    ),
+    num_positional_args=helpers.num_positional_args(
+        fn_name="ivy.functional.frontends.tensorflow.raw_ops.Xlog1py"
+    ),
+)
+def test_tensorflow_Xlog1py(
+    dtype_and_x, as_variable, num_positional_args, native_array
+):
+    input_dtype, xs = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        as_variable_flags=as_variable,
+        with_out=False,
+        num_positional_args=num_positional_args,
+        native_array_flags=native_array,
+        frontend="tensorflow",
+        fn_tree="raw_ops.Xlog1py",
+        x=xs[0],
+        y=xs[1],
+    )
+
+
+@handle_cmd_line_args
+@given(
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=2,
+        shared_dtype=True,
+    ),
+    num_positional_args=helpers.num_positional_args(
+        fn_name="ivy.functional.frontends.tensorflow.raw_ops.Xlogy"
+    ),
+)
+def test_tensorflow_Xlogy(dtype_and_x, as_variable, num_positional_args, native_array):
+    input_dtype, xs = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        as_variable_flags=as_variable,
+        with_out=False,
+        num_positional_args=num_positional_args,
+        native_array_flags=native_array,
+        frontend="tensorflow",
+        fn_tree="raw_ops.Xlogy",
+        x=xs[0],
+        y=xs[1],
+    )