| 63 | } |
| 64 | |
| 65 | TEST_CASE(rewrite_pad) |
| 66 | { |
| 67 | migraphx::module m; |
| 68 | size_t img_dim[2] = {2, 2}; |
| 69 | size_t channels = 1; |
| 70 | std::vector<int32_t> input(channels * img_dim[0] * img_dim[1]); |
| 71 | std::iota(input.begin(), input.end(), 0); |
| 72 | |
| 73 | migraphx::shape s_img{migraphx::shape::int32_type, {1, channels, img_dim[0], img_dim[1]}}; |
| 74 | auto l_img = m.add_literal(migraphx::literal{s_img, input}); |
| 75 | auto padded_img = |
| 76 | m.add_instruction(migraphx::make_op("pad", {{"pads", {0, 0, 1, 1, 0, 0, 1, 1}}}), l_img); |
| 77 | |
| 78 | auto l0 = create_im2col(padded_img, channels, m); |
| 79 | auto l1 = create_conv(padded_img, channels, m); |
| 80 | auto l2 = m.add_instruction( |
| 81 | migraphx::make_op("pooling", {{"mode", migraphx::op::pooling_mode::max}}), padded_img); |
| 82 | m.add_instruction(migraphx::make_op("identity"), l0, l1, l2); |
| 83 | |
| 84 | auto s0 = l0->get_shape(); |
| 85 | auto s1 = l1->get_shape(); |
| 86 | auto s2 = l2->get_shape(); |
| 87 | run_pass(m); |
| 88 | EXPECT(l0->get_shape() == s0); |
| 89 | EXPECT(l1->get_shape() == s1); |
| 90 | EXPECT(l2->get_shape() == s2); |
| 91 | auto op0 = l0->get_operator().to_value(); |
| 92 | auto om1 = l1->get_operator().to_value(); |
| 93 | auto om2 = l2->get_operator().to_value(); |
| 94 | |
| 95 | EXPECT(op0["padding"].to_vector<std::size_t>() == std::vector<std::size_t>{1, 1, 1, 1}); |
| 96 | EXPECT(om1["padding"].to_vector<std::size_t>() == std::vector<std::size_t>{1, 1, 1, 1}); |
| 97 | EXPECT(om2["padding"].to_vector<std::size_t>() == std::vector<std::size_t>{1, 1, 1, 1}); |
| 98 | |
| 99 | EXPECT(std::none_of( |
| 100 | m.begin(), m.end(), [](const migraphx::instruction& ins) { return ins.name() == "pad"; })); |
| 101 | } |
| 102 | |
| 103 | TEST_CASE(rewrite_pad_im2col_asymmetric) |
| 104 | { |
nothing calls this directly
no test coverage detected