diff options
Diffstat (limited to 'src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h')
| -rw-r--r-- | src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h | 70 |
1 files changed, 57 insertions, 13 deletions
diff --git a/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h b/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h index d4444f0b20..9f436da7f6 100644 --- a/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h +++ b/src/core/CL/kernels/CLInstanceNormalizationLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2020 Arm Limited. + * Copyright (c) 2019-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -24,10 +24,10 @@ #ifndef ARM_COMPUTE_CLINSTANCENORMALIZATIONLAYERKERNEL_H #define ARM_COMPUTE_CLINSTANCENORMALIZATIONLAYERKERNEL_H -#include "src/core/CL/ICLKernel.h" - #include "arm_compute/core/KernelDescriptors.h" +#include "src/core/CL/ICLKernel.h" + namespace arm_compute { // Forward declarations @@ -52,21 +52,18 @@ public: /** Set the input and output tensors. * - * @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW, NHWC - * In case of @p output tensor = nullptr this tensor will store the result of the normalization. - * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. - * @param[in] info Kernel meta-data descriptor - */ - void configure(ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info); - /** Set the input and output tensors. - * * @param[in] compile_context The compile context to be used. * @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW, NHWC * In case of @p output tensor = nullptr this tensor will store the result of the normalization. + * @param[in] mean_var Tensor containing the precomputed mean and variance values. Data types supported: F32. * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. * @param[in] info Kernel meta-data descriptor */ - void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info); + void configure(const CLCompileContext &compile_context, + ICLTensor *input, + ICLTensor *mean_var, + ICLTensor *output, + const InstanceNormalizationLayerKernelInfo &info); /** Static function to check if given info will lead to a valid configuration of @ref CLInstanceNormalizationLayer. * @@ -76,7 +73,8 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info); + static Status + validate(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; @@ -84,7 +82,53 @@ public: private: ICLTensor *_input; ICLTensor *_output; + ICLTensor *_mean; bool _run_in_place; }; + +/** Interface for compute Mean and Variance per channel */ +class CLComputeMeanVariance : public ICLKernel +{ +public: + /** Constructor */ + CLComputeMeanVariance(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLComputeMeanVariance(const CLComputeMeanVariance &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLComputeMeanVariance &operator=(const CLComputeMeanVariance &) = delete; + /** Default Move Constructor. */ + CLComputeMeanVariance(CLComputeMeanVariance &&) = default; + /** Default move assignment operator */ + CLComputeMeanVariance &operator=(CLComputeMeanVariance &&) = default; + /** Default destructor */ + ~CLComputeMeanVariance() = default; + + /** Set the input and output tensors. + * + * @param[in] compile_context The compile context to be used. + * @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW, NHWC + * In case of @p output tensor = nullptr this tensor will store the result of the normalization. + * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. + * @param[in] use_mixed_precision Use mixed precision in case of FP16 execution + */ + void + configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, bool use_mixed_precision); + + /** Static function to check if given info will lead to a valid configuration of @ref CLInstanceNormalizationLayer. + * + * @param[in] input Source tensor info. Data types supported: F16/F32. Data layout supported: NHWC, NCHW + * @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output); + + // Inherited methods overridden: + void run(const Window &window, cl::CommandQueue &queue) override; + +private: + ICLTensor *_input; + ICLTensor *_output; +}; } // namespace arm_compute #endif /*ARM_COMPUTE_CLINSTANCENORMALIZATIONLAYERKERNEL_H */ |