feat: add segment_sum function to Ivy TensorFlow frontend (#27459)

Co-authored-by: manik <[email protected]>
Co-authored-by: ivy-branch <[email protected]>

ivy/functional/frontends/tensorflow/math.py

@@ -637,6 +637,25 @@ def scalar_mul(scalar, x, name="scalar_mul"):
     return ivy.multiply(x, scalar).astype(x.dtype)
 
 
+@with_unsupported_dtypes(
+    {"2.15.0 and below": ("float16", "bool", "int16", "int8")},
+    "tensorflow",
+)
+@to_ivy_arrays_and_back
+def segment_sum(data, segment_ids, name="segment_sum"):
+    data = ivy.array(data)
+    segment_ids = ivy.array(segment_ids)
+    ivy.utils.assertions.check_equal(
+        list(segment_ids.shape), [list(data.shape)[0]], as_array=False
+    )
+    sum_array = ivy.zeros(
+        tuple([int(segment_ids[-1] + 1)] + (list(data.shape))[1:]), dtype=data.dtype
+    )
+    for i in range((segment_ids).shape[0]):
+        sum_array[segment_ids[i]] = sum_array[segment_ids[i]] + data[i]
+    return sum_array
+
+
 @to_ivy_arrays_and_back
 def sigmoid(x, name=None):
     return ivy.sigmoid(x)

ivy_tests/test_ivy/test_frontends/test_tensorflow/test_math.py

@@ -2650,6 +2650,39 @@ def test_tensorflow_scalar_mul(
     )
 
 
+@handle_frontend_test(
+    fn_tree="tensorflow.math.segment_sum",
+    data=helpers.array_values(dtype=helpers.get_dtypes("valid"), shape=(5, 6)),
+    segment_ids=helpers.array_values(
+        dtype=helpers.get_dtypes("signed_integer", prune_function=True),
+        shape=(5,),
+        min_value=0,
+        max_value=4,
+    ),
+    test_with_out=st.just(False),
+)
+def test_tensorflow_segment_sum(
+    *,
+    data,
+    segment_ids,
+    frontend,
+    test_flags,
+    fn_tree,
+    backend_fw,
+    on_device,
+):
+    helpers.test_frontend_function(
+        input_dtypes=[str(data.dtype), "int32", "int64"],
+        frontend=frontend,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        data=data,
+        segment_ids=np.sort(segment_ids),
+    )
+
+
 # sigmoid
 @handle_frontend_test(
     fn_tree="tensorflow.math.sigmoid",