Add test for non empty int64 scalar

Add one item in the np array to use for the constant we're parsing in.

test/onnx/gen_onnx.py

@@ -647,6 +647,26 @@ def constant_scalar_test2():
     return ([node], [], [y])
 
 
+@onnx_test
+def constant_scalar_test3():
+    x = np.array([1]).astype(np.int64)
+    y = helper.make_tensor_value_info('0', TensorProto.INT64, [0])
+
+    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

@@ -646,6 +646,16 @@ TEST_CASE(constant_scalar_test2)
     EXPECT(p == prog);
 }
 
+TEST_CASE(constant_scalar_test3)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+    mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {1}}, {1}});
+    auto prog = optimize_onnx("constant_scalar_test3.onnx");
+
+    EXPECT(p == prog);
+}
+
 TEST_CASE(const_of_shape_empty_input_test)
 {
     migraphx::program p;