[GPU][DG2] Fix unit test: test_select_preferred_formats.setting_target_conv_format (#14837)
* Fix wrong weight shape * Output layout initialization * Ensure preferred output format is selected
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@ -1868,7 +1868,7 @@ void layout_optimizer::select_preferred_formats_for_onednn(program_node& node, d
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}
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if (node.get_preferred_output_fmt() == format::any) {
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for (size_t usr = 0 ; usr < node.get_users().size() ; usr++)
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for (size_t usr = 0; usr < std::max<size_t>(1, node.get_users().size()); usr++)
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node.set_preferred_output_fmt(usr, dst_fmt);
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}
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@ -25,12 +25,12 @@ using namespace testing;
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TEST(test_select_preferred_formats, setting_target_conv_format) {
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auto& engine = get_test_engine();
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auto input = engine.allocate_memory({ data_types::f16, format::bfyx, { 1, 32, 64, 64 } });
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auto weights = engine.allocate_memory({ data_types::f16, format::bfyx, { 1, 32, 64, 64 } });
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auto weights = engine.allocate_memory({ data_types::f16, format::bfyx, { 32, 32, 3, 3 } });
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topology topology;
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topology.add(data("weights", weights));
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topology.add(input_layout("input", input->get_layout()));
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topology.add(reorder("reorder", input_info("input"), format::b_fs_yx_fsv16, data_types::f16)),
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topology.add(reorder("reorder", input_info("input"), format::b_fs_yx_fsv16, data_types::f16));
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topology.add(convolution("conv1", input_info("reorder"), { "weights" }));
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build_options build;
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@ -41,6 +41,9 @@ TEST(test_select_preferred_formats, setting_target_conv_format) {
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layout_optimizer lo(true);
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auto prog = program::build_program(engine, topology, build, false, true);
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// It initializes output_layout.
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// It's necessary because this test runs select_preferred_formats pass alone.
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prog->get_node("conv1").get_output_layouts(false);
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program_wrapper::apply_opt_pass<select_preferred_formats>(*prog, lo);
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ASSERT_NE(prog, nullptr);
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