#include TEST_CASE(convinteger_bias_test) { migraphx::program p; auto* mm = p.get_main_module(); auto l0 = mm->add_parameter("0", {migraphx::shape::int8_type, {1, 3, 32, 32}}); auto l1 = mm->add_parameter("1", {migraphx::shape::int8_type, {1, 3, 5, 5}}); auto l2 = mm->add_parameter("2", {migraphx::shape::int32_type, {1}}); uint64_t axis = 1; auto l3 = mm->add_instruction(migraphx::make_op("quant_convolution"), l0, l1); auto l4 = mm->add_instruction( migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2); mm->add_instruction(migraphx::make_op("add"), l3, l4); auto prog = optimize_onnx("convinteger_bias_test.onnx"); EXPECT(p == prog); }