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diff --git a/compute/cker/include/cker/gemmlowp/GEMMSupport.h b/compute/cker/include/cker/gemmlowp/GEMMSupport.h
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+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __NNFW_CKER_GEMMLOWP_GEMM_SUPPORT_H__
+#define __NNFW_CKER_GEMMLOWP_GEMM_SUPPORT_H__
+
+#include <public/gemmlowp.h>
+
+#include <memory>
+#include <thread>
+
+namespace nnfw
+{
+namespace cker
+{
+namespace gemm_support
+{
+
+struct GemmContext
+{
+ std::unique_ptr<gemmlowp::GemmContext> gemm_context;
+ constexpr static int default_num_threadpool_threads = 4;
+
+ GemmContext()
+ {
+ int num_threads = std::thread::hardware_concurrency() / 2;
+ if (num_threads == 0)
+ {
+ num_threads = default_num_threadpool_threads;
+ }
+
+ gemm_context.reset(new gemmlowp::GemmContext());
+ gemm_context->set_max_num_threads(num_threads);
+ }
+
+ static inline GemmContext &GetGemmLowpContext()
+ {
+ static GemmContext instance;
+ return instance;
+ }
+};
+
+inline gemmlowp::GemmContext *GetGemmLowpContext()
+{
+ auto &ctx = GemmContext::GetGemmLowpContext();
+ return ctx.gemm_context.get();
+}
+
+} // namespace gemm_support
+} // namespace cker
+} // namespace nnfw
+
+#endif // __NNFW_CKER_GEMMLOWP_GEMM_SUPPORT_H__