#include TEST_CASE(conv_transpose_output_padding_test) { migraphx::program p; auto* mm = p.get_main_module(); auto l0 = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}}); auto l1 = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3}}); auto l2 = mm->add_instruction( migraphx::make_op("convolution_backwards", {{"padding", {0, 0}}, {"stride", {3, 2}}}), l0, l1); mm->add_instruction(migraphx::make_op("pad", {{"pads", {0, 0, 0, 0, 0, 0, 1, 1}}}), l2); auto prog = optimize_onnx("conv_transpose_output_padding_test.onnx"); EXPECT(p == prog); }