[GPU] Fix wrong dynamic convolution selection in SD1.5 dynamic dpas p…

…latform (#24082) _Dynamic convolutions with explicit padding run planar bfyx format in clDNN. But this limitation is only for clDNN NOT oneDNN. Because unexpected format selection in dynamic convolution, SD1.5 in platform used dpas always run clDNN and it caused bad performance._ ### Tickets: - *138632* --------- Signed-off-by: hyunback <[email protected]>
openvinotoolkit · Apr 22, 2024 · f043f38 · f043f38
1 parent 8bf2ee9
commit f043f38
Showing 1 changed file with 7 additions and 5 deletions.
diff --git a/src/plugins/intel_gpu/src/graph/layout_optimizer.cpp b/src/plugins/intel_gpu/src/graph/layout_optimizer.cpp
@@ -1140,9 +1140,14 @@ format layout_optimizer::get_expected_format(convolution_node const& node) {
         return format::adjust_to_rank(format::bfyx, output_layout.get_partial_shape().size());
     }
 
-    // Use planar bfyx format for dynamic convolutions with explicit padding
-    if (node.is_dynamic() && output_layout.get_partial_shape().size() == 4 && node.use_explicit_padding() && !i8_u8_input)
+    bool onednn_valid_post_ops = get_post_ops_count(node) <= 32;
+    bool use_onednn_impls = _optimization_attributes.use_onednn_impls && input_layout.data_type != data_types::f32;
+
+    // Use planar bfyx format for dynamic convolutions with explicit padding in clDNN
+    if (node.is_dynamic() && output_layout.get_partial_shape().size() == 4 && node.use_explicit_padding() && !i8_u8_input &&
+        !(use_onednn_impls && onednn_valid_post_ops)) {
         return format::bfyx;
+    }
 
     if (input_layout.is_dynamic() || output_layout.is_dynamic()) {
         if (input_layout.get_partial_shape().size() <= 4)
@@ -1154,9 +1159,6 @@ format layout_optimizer::get_expected_format(convolution_node const& node) {
 
     const float cond_denom = _total_conv > 0 ? 1.0f / static_cast<float>(_total_conv) : 1.0f;
 
-    bool onednn_valid_post_ops = get_post_ops_count(node) <= 32;
-    bool use_onednn_impls = _optimization_attributes.use_onednn_impls && input_layout.data_type != data_types::f32;
-
     if (use_onednn_impls && onednn_valid_post_ops && node.get_preferred_output_fmt() != format::any) {
         expected_format = node.get_preferred_output_fmt();
     } else {