Publishing 2019 R1 content
[platform/upstream/dldt.git] / inference-engine / thirdparty / clDNN / kernel_selector / core / actual_kernels / fully_connected / fully_connected_block_kernel_base.cpp
1 /*
2 // Copyright (c) 2016 Intel Corporation
3 //
4 // Licensed under the Apache License, Version 2.0 (the "License");
5 // you may not use this file except in compliance with the License.
6 // You may obtain a copy of the License at
7 //
8 //      http://www.apache.org/licenses/LICENSE-2.0
9 //
10 // Unless required by applicable law or agreed to in writing, software
11 // distributed under the License is distributed on an "AS IS" BASIS,
12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 // See the License for the specific language governing permissions and
14 // limitations under the License.
15 */
16
17 #include "fully_connected_block_kernel_base.h"
18
19 namespace kernel_selector 
20 {
21     JitConstants FullyConnectedBlockKernelBase::GetJitConstants(const fully_connected_params& params, const FullyConnectedBlockKernelBase::DispatchData& data) const
22     {
23         auto cldnnJit = FullyConnectedKernelBase::GetJitConstants(params, data);
24
25         const auto batches_per_work_item = GetBatchesPerWorkItem(params);
26
27         cldnnJit.AddConstant(MakeJitConstant("NEURONS_PER_WORK_ITEM", GetNeuronsPerWorkItem(params))); // how many neurons for a single batch will a single work item produce
28         cldnnJit.AddConstant(MakeJitConstant("BATCHES_PER_WORK_ITEM", batches_per_work_item));             // how many batches will a single work item compute
29         cldnnJit.AddConstant(MakeJitConstant("OUTPUT_ELEMENTS_COUNT", params.output.LogicalSize() / params.output.Batch().v));
30
31         return cldnnJit;
32     }
33
34 }