diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h index e68525fa76..70a81b2788 100644 --- a/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h +++ b/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -30,7 +30,10 @@ #include "arm_compute/core/NEON/kernels/NEWidthConcatenateLayerKernel.h" +#include "arm_compute/core/utils/misc/Requires.h" + #include <memory> +#include <type_traits> #include <vector> namespace arm_compute @@ -56,6 +59,7 @@ public: * The first dimension (width) is the sum of the input tensors' widths. */ void configure(std::vector<ITensor *> inputs_vector, ITensor *output); + void configure(std::vector<const ITensor *> inputs_vector, ITensor *output); /** Static function to check if given info will lead to a valid configuration of @ref NEWidthConcatenateLayer * * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. @@ -67,6 +71,7 @@ public: * @return a status */ static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output); + static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output); // Inherited methods overridden: void run() override; @@ -74,6 +79,10 @@ public: private: std::unique_ptr<NEWidthConcatenateLayerKernel[]> _concat_kernels_vector; unsigned int _num_inputs; + template <typename TensorType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorType>::type, ITensor>::value)> + void configure_internal(std::vector<TensorType *> &&inputs_vector, ITensor *output); + template <typename TensorInfoType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorInfoType>::type, ITensorInfo>::value)> + static Status validate_internal(const std::vector<TensorInfoType *> &inputs_vector, const ITensorInfo *output); }; } // namespace arm_compute #endif /* __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ */ |