Add test case to parse in empty constant int64 proto buffer

I think the previous test case was aliasing an issue where we default to float but need to actually read in int64 instead of int32

test/onnx/gen_onnx.py

@@ -31,6 +31,7 @@ from onnx import TensorProto
 
 
 def onnx_test(op_test):
+
     def run_test():
         op_info = op_test()
         if len(op_info) > 3:
@@ -626,6 +627,26 @@ def constant_scalar_test():
     return ([node], [], [y])
 
 
+@onnx_test
+def constant_scalar_test2():
+    x = np.array([]).astype(np.int64)
+    y = helper.make_tensor_value_info('0', TensorProto.INT64, [1])
+
+    node = onnx.helper.make_node(
+        'Constant',
+        inputs=[],
+        outputs=['0'],
+        value=onnx.helper.make_tensor(
+            name='empty_tensor',
+            data_type=TensorProto.INT64,
+            dims=x.shape,
+            vals=x.flatten().astype(np.int64),
+        ),
+    )
+
+    return ([node], [], [y])
+
+
 @onnx_test
 def const_of_shape_empty_input_test():
     tensor_val = onnx.helper.make_tensor('value', onnx.TensorProto.INT64, [1],

test/onnx/onnx_test.cpp

@@ -636,6 +636,16 @@ TEST_CASE(constant_scalar_test)
     EXPECT(p == prog);
 }
 
+TEST_CASE(constant_scalar_test2)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+    mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {1}}, {0}});
+    auto prog = optimize_onnx("constant_scalar_test2.onnx");
+
+    EXPECT(p == prog);
+}
+
 TEST_CASE(const_of_shape_empty_input_test)
 {
     migraphx::program p;