[GPU] OneDNN gpu submodule update to version 2.5 (#8449)
* [GPU] OneDNN gpu submodule update to version 2.5 * [GPU] Updated onednn submodule and added layout optimizer fix
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@ -101,6 +101,11 @@ attach_reduce_impl::attach_reduce_impl() {
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std::make_tuple(data_types::i32, format::b_fs_yx_fsv16),
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std::make_tuple(data_types::i8, format::b_fs_yx_fsv16),
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std::make_tuple(data_types::u8, format::b_fs_yx_fsv16),
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std::make_tuple(data_types::f32, format::b_fs_yx_fsv32),
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std::make_tuple(data_types::f16, format::b_fs_yx_fsv32),
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std::make_tuple(data_types::i32, format::b_fs_yx_fsv32),
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std::make_tuple(data_types::i8, format::b_fs_yx_fsv32),
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std::make_tuple(data_types::u8, format::b_fs_yx_fsv32),
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});
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}
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@ -866,10 +866,8 @@ layout layout_optimizer::get_expected_layout(layout const& current_layout,
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}
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} else if ((_optimization_attributes.b_fs_yx_fsv16_network &&
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convolution_b_fs_yx_fsv16_opt(input_layout, output_layout, weights_layout, prim)) && is_2d) {
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if (is_dw)
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expected_format = cldnn::format::b_fs_yx_fsv32;
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else
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expected_format = cldnn::format::b_fs_yx_fsv16;
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// TODO: optimize clDNN kernels for good support of b_fs_yx_fsv32 format
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expected_format = cldnn::format::b_fs_yx_fsv32;
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} else {
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expected_format = imad_case(node);
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}
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@ -1 +1 @@
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Subproject commit 1ab3f50381ae85ab5ab0a29d5565ebe72ce77030
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Subproject commit 75d978369d0c5be04ec36c3cea2e00a14da1ec83
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