1 files changed, 72 insertions, 0 deletions
diff --git a/runtimes/nn/common/NNFWKernels.cpp b/runtimes/nn/common/NNFWKernels.cpp
new file mode 100644
index 000000000..dd5c2d2bc
--- /dev/null
+++ b/runtimes/nn/common/NNFWKernels.cpp
@@ -0,0 +1,72 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
+ */
+
+#include "CpuExecutor.h"
+#include "NeuralNetworks.h"
+#include "Operations.h"
+
+#include "NNFWKernels.h"
+
+#ifdef USE_NNFW_ACL_KERNELS
+#include "kernel/acl/Conv2D.h"
+#include "kernel/acl/DepthwiseConv2D.h"
+#include "kernel/acl/Pooling.h"
+#include "kernel/acl/Softmax.h"
+#include "kernel/acl/FullyConnected.h"
+#include "kernel/acl/Concatenation.h"
+#include "kernel/acl/Reshape.h"
+#include "kernel/acl/nnfw_kernel_acl.h"
+#endif // USE_NNFW_ACL_KERNELS
+
+#include <map>
+
+namespace nnfw {
+namespace rt {
+
+#define NNFW_KERNEL(Name, Ret, Params) \
+    NNFW_KERNELS_##Name nnfw_kernels_##Name;
+
+#include "NNFWKernels.lst"
+#undef NNFW_KERNEL
+
+void init_nnfw_kernels()
+{
+#ifdef USE_NNFW_ACL_KERNELS
+  nnfw::kernel::acl::Initialize();
+
+  nnfw_kernels_convFloat32["acl"] = nnfw::kernel::acl::convFloat32;
+  nnfw_kernels_depthwiseConvFloat32["acl"] = nnfw::kernel::acl::depthwiseConvFloat32;
+  nnfw_kernels_averagePoolFloat32["acl"] = nnfw::kernel::acl::averagePoolFloat32;
+  nnfw_kernels_maxPoolFloat32["acl"] = nnfw::kernel::acl::maxPoolFloat32;
+  nnfw_kernels_softmaxFloat32["acl"] = nnfw::kernel::acl::softmaxFloat32;
+  nnfw_kernels_fullyConnectedFloat32["acl"] = nnfw::kernel::acl::fullyConnectedFloat32;
+  nnfw_kernels_concatenationFloat32["acl"] = nnfw::kernel::acl::concatenationFloat32;
+  nnfw_kernels_reshapeGeneric["acl"] = nnfw::kernel::acl::reshapeGeneric;
+
+  nnfw_kernels_convFloat32["neon"] = nnfw::kernel::acl::neon::convFloat32;
+  nnfw_kernels_depthwiseConvFloat32["neon"] = nnfw::kernel::acl::neon::depthwiseConvFloat32;
+  nnfw_kernels_averagePoolFloat32["neon"] = nnfw::kernel::acl::neon::averagePoolFloat32;
+  nnfw_kernels_maxPoolFloat32["neon"] = nnfw::kernel::acl::neon::maxPoolFloat32;
+  nnfw_kernels_softmaxFloat32["neon"] = nnfw::kernel::acl::neon::softmaxFloat32;
+  nnfw_kernels_fullyConnectedFloat32["neon"] = nnfw::kernel::acl::neon::fullyConnectedFloat32;
+  nnfw_kernels_concatenationFloat32["neon"] = nnfw::kernel::acl::neon::concatenationFloat32;
+  nnfw_kernels_reshapeGeneric["neon"] = nnfw::kernel::acl::reshapeGeneric;
+#endif // USE_NNFW_ACL_KERNELS
+  return;
+}
+
+} // namespace rt
+} // namespace nnfw