Publishing 2019 R1 content

[platform/upstream/dldt.git] / inference-engine / thirdparty / clDNN / kernel_selector / core / common / kernel_selector_utils.h

diff --git a/inference-engine/thirdparty/clDNN/kernel_selector/core/common/kernel_selector_utils.h b/inference-engine/thirdparty/clDNN/kernel_selector/core/common/kernel_selector_utils.h
index e7cc7cf..dbd6fe4 100644 (file)
--- a/inference-engine/thirdparty/clDNN/kernel_selector/core/common/kernel_selector_utils.h
+++ b/inference-engine/thirdparty/clDNN/kernel_selector/core/common/kernel_selector_utils.h
@@ -1,5 +1,5 @@
 /*
-// Copyright (c) 2016 Intel Corporation
+// Copyright (c) 2016-2018 Intel Corporation
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -17,22 +17,16 @@
 #pragma once
 
 #include "jitter.h"
-#include "tensor_type.h"
 
 namespace kernel_selector {
 
     struct weight_bias_params;
-    struct convolution_params;
+    struct optional_params;
+    struct WeightsReorderParams;
 
-    bool CheckConvolutionPaddedInputDesc(const convolution_params& params, const DataTensor& reqDesc);
-    DataTensor GetConvolutionBFYXPaddedTensor(const convolution_params& cp);
-    bool CovolutionCheckInput(const Params& p, const optional_params& o);
-    bool CovolutionUpdateInputParams(convolution_params& params);
-    WeightsType DataTypeToWeightsType(Datatype t);
-    bool CheckWeights(const WeightsTensor& tensor, WeightsType reqType, std::vector<WeightsLayout> reqLayouts);
     std::vector<size_t> GetImageSizes(const kernel_selector::WeightsTensor& dimensions, const WeightsLayout layout);
     bool CheckImageSize(const weight_bias_params& newParams, const WeightsLayout layout);
-    bool UpdateWeightsParams(weight_bias_params& newParams, const optional_params& options, std::vector<WeightsLayout> layouts, WeightsReorderParams& weightsReorderParams);
+    bool UpdateWeightsParams(weight_bias_params& newParams, const optional_params& options, std::vector<WeightsLayout> layouts, WeightsReorderParams& weightsReorderParams,  const ParamsKey& paramsKey = ParamsKey());
     JitConstants GetTensorFriendlyWorkGroupsJit(const DataTensor& t);
     std::vector<size_t> GetTensorFriendlyWorkGroups(const DataTensor& t);
     std::vector<size_t> GetOptimalLocalWorkGroupSizes(std::vector<size_t> gws);