Publishing 2019 R1 content

[platform/upstream/dldt.git] / inference-engine / thirdparty / clDNN / kernel_selector / core / actual_kernels / convolution / convolution_kernel_MMAD.cpp

diff --git a/inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/convolution/convolution_kernel_MMAD.cpp b/inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/convolution/convolution_kernel_MMAD.cpp
index 0963f0b..f4a3863 100644 (file)
--- a/inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/convolution/convolution_kernel_MMAD.cpp
+++ b/inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/convolution/convolution_kernel_MMAD.cpp
@@ -15,7 +15,6 @@
 */
 
 #include "convolution_kernel_MMAD.h"
-#include "kernel_selector_utils.h"
 
 namespace kernel_selector {
     
@@ -50,7 +49,7 @@ namespace kernel_selector {
         const auto of_maps = arg.output.Feature().v;
         const size_t of_threads_per_batch = RoundUp(of_maps, sub_group_size);
 
-        runInfo.effiency = FORCE_PRIORITY_3;
+        runInfo.effiency = FORCE_PRIORITY_4;
 
         runInfo.gws0 = arg.output.X().v;
         runInfo.gws1 = arg.output.Y().v;
@@ -79,9 +78,9 @@ namespace kernel_selector {
 
     KernelsData ConvolutionKernel_MMAD::GetKernelsData(const Params& params, const optional_params& options) const
     {
-        KernelsData kd = GetCommonKernelsData(params, options);
+        KernelsData kd = GetTunedKernelsDataByIndex(params, options);
         if(!kd.empty())
-            kd[0].estimatedTime = FORCE_PRIORITY_3;
+            kd[0].estimatedTime = FORCE_PRIORITY_4;
         return kd;
     }
 }
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