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Diffstat (limited to 'src/graph/nodes/L2NormalizeLayer.cpp')
-rw-r--r-- | src/graph/nodes/L2NormalizeLayer.cpp | 89 |
1 files changed, 89 insertions, 0 deletions
diff --git a/src/graph/nodes/L2NormalizeLayer.cpp b/src/graph/nodes/L2NormalizeLayer.cpp new file mode 100644 index 0000000000..46d1552733 --- /dev/null +++ b/src/graph/nodes/L2NormalizeLayer.cpp @@ -0,0 +1,89 @@ +/* + * Copyright (c) 2017 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/graph/nodes/L2NormalizeLayer.h" + +#include "arm_compute/core/Logger.h" +#include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/CL/functions/CLL2Normalize.h" +#include "arm_compute/runtime/NEON/functions/NEL2Normalize.h" +#include "arm_compute/runtime/Tensor.h" +#include "support/ToolchainSupport.h" +#include "utils/TypePrinter.h" + +using namespace arm_compute::graph; + +namespace +{ +template <typename L2NormalizeType, typename TensorType, TargetHint hint> +std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, unsigned int axis, float epsilon) +{ + auto l2norm = arm_compute::support::cpp14::make_unique<L2NormalizeType>(); + l2norm->configure( + dynamic_cast<TensorType *>(input), + dynamic_cast<TensorType *>(output), + axis, + epsilon); + + return std::move(l2norm); +} + +template <TargetHint target_hint> +std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, unsigned int axis, float epsilon); + +template <> +std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(ITensor *input, ITensor *output, unsigned int axis, float epsilon) +{ + return instantiate_function<arm_compute::CLL2Normalize, arm_compute::ICLTensor, TargetHint::OPENCL>(input, output, axis, epsilon); +} + +template <> +std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(ITensor *input, ITensor *output, unsigned int axis, float epsilon) +{ + return instantiate_function<arm_compute::NEL2Normalize, arm_compute::ITensor, TargetHint::NEON>(input, output, axis, epsilon); +} +} // namespace + +std::unique_ptr<arm_compute::IFunction> L2NormalizeLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) +{ + std::unique_ptr<arm_compute::IFunction> func; + _target_hint = ctx.hints().target_hint(); + + if(_target_hint == TargetHint::OPENCL) + { + func = instantiate<TargetHint::OPENCL>(input, output, _axis, _epsilon); + ARM_COMPUTE_LOG("Instantiating CLL2NormalizeLayer"); + } + else + { + func = instantiate<TargetHint::NEON>(input, output, _axis, _epsilon); + ARM_COMPUTE_LOG("Instantiating NEL2NormalizeLayer"); + } + + ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type() + << " Input shape: " << input->info()->tensor_shape() + << " Output shape: " << output->info()->tensor_shape() + << std::endl); + + return func; +} |