added cosing_embedding_loss

ivy_tests/test_ivy/test_functional/test_experimental/test_nn/test_losses.py

@@ -202,6 +202,60 @@ def test_kl_div(
         log_target=log_target,
     )
 
+@handle_test(
+    fn_tree="functional.ivy.cosine_embedding_loss",
+    dtype_input1=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-1,
+        max_value=1,
+        allow_inf=False,
+    ),
+    dtype_input2=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-1,
+        max_value=1,
+        allow_inf=False,
+    ),
+    dtype_target=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("int"),  # target typically contains 1 or -1
+        min_value=-1,
+        max_value=1,
+        allow_inf=False,
+        shape_constraint="same_as_input",  # Ensure target has the same shape as input1 and input2
+    ),
+    margin=st.floats(min_value=0, max_value=1),  # Define range for margin
+    reduction=st.sampled_from(["sum", "mean", "none"]),
+)
+def test_cosine_embedding_loss(
+    *,
+    dtype_input1,
+    dtype_input2,
+    dtype_target,
+    margin,
+    reduction,
+    test_flags,
+    backend_fw,
+    fn_name,
+    on_device,
+):
+    dtype_input1, input1 = dtype_input1
+    dtype_input2, input2 = dtype_input2
+    dtype_target, target = dtype_target
+
+    helpers.test_function(
+        input_dtypes=dtype_input1 + dtype_input2 + dtype_target,
+        test_flags=test_flags,
+        backend_to_test=backend_fw,
+        fn_name=fn_name,
+        on_device=on_device,
+        atol_=1e-02,
+        input1=input1[0],
+        input2=input2[0],
+        target=target[0],
+        margin=margin,
+        reduction=reduction,
+    )
+
 
 @handle_test(
     fn_tree="functional.ivy.experimental.l1_loss",