diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h | 38 |
1 files changed, 29 insertions, 9 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h b/arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h index a581600dbb..8502cee5d2 100644 --- a/arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h +++ b/arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -24,7 +24,6 @@ #ifndef ARM_COMPUTE_NEL2NORMALIZELAYER_H #define ARM_COMPUTE_NEL2NORMALIZELAYER_H -#include "arm_compute/core/NEON/kernels/NEL2NormalizeLayerKernel.h" #include "arm_compute/runtime/IFunction.h" #include "arm_compute/runtime/IMemoryManager.h" #include "arm_compute/runtime/MemoryGroup.h" @@ -36,6 +35,7 @@ namespace arm_compute { class ITensor; +class NEL2NormalizeLayerKernel; /** Basic function to perform a L2 normalization on a given axis. * @@ -48,14 +48,34 @@ class NEL2NormalizeLayer : public IFunction public: /** Constructor */ NEL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEL2NormalizeLayer(const NEL2NormalizeLayer &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEL2NormalizeLayer &operator=(const NEL2NormalizeLayer &) = delete; + /** Prevent instances of this class from being moved (As this class contains non movable objects) */ + NEL2NormalizeLayer(NEL2NormalizeLayer &&) = delete; + /** Prevent instances of this class from being moved (As this class contains non movable objects) */ + NEL2NormalizeLayer &operator=(NEL2NormalizeLayer &&) = delete; + /** Default destructor */ + ~NEL2NormalizeLayer(); /** Set the input and output tensors. * + * Valid data layouts: + * - NHWC + * - NCHW + * + * Valid data type configurations: + * |src |dst | + * |:--------|:---------| + * |F16 |F16 | + * |F32 |F32 | + * * @param[in, out] input Source tensor. Data types supported: F16/F32. (Written to only for border_size != 0) * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. * @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2 * @param[in] epsilon (Optional) Lower bound value for the normalization. */ - void configure(ITensor *input, ITensor *output, int axis, float epsilon = 1e-12f); + void configure(ITensor *input, ITensor *output, int axis, float epsilon = 1e-6f); /** Static function to check if given info will lead to a valid configuration of @ref NEL2NormalizeLayer. * @@ -66,16 +86,16 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, int axis, float epsilon = 1e-12f); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, int axis, float epsilon = 1e-6f); // Inherited methods overridden: void run() override; private: - MemoryGroup _memory_group; - NEReductionOperation _reduce_func; - NEL2NormalizeLayerKernel _normalize_kernel; - Tensor _sumsq; + MemoryGroup _memory_group; + NEReductionOperation _reduce_func; + std::unique_ptr<NEL2NormalizeLayerKernel> _normalize_kernel; + Tensor _sumsq; }; -} +} // namespace arm_compute #endif /* ARM_COMPUTE_NEL2NORMALIZELAYER_H */ |