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/*
* 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
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