diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h | 13 |
1 files changed, 12 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h index ece0ec46e6..a21a6eed73 100644 --- a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h +++ b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -56,6 +56,17 @@ public: * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8. */ void configure(ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f); + /** Initialise the kernel's input and outputs. + * + * @note If the output tensor is a nullptr, the normalization will be performed in-place. + * + * @param[in] compile_context The compile context to be used. + * @param[in, out] input Source tensor with 2 dimensions. In case of @p output tensor = nullptr, + * this tensor will store the result of the normalization. Data types supported: F16/F32. + * @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input + * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8. + */ + void configure(CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f); /** Static function to check if given info will lead to a valid configuration of @ref CLMeanStdDevNormalizationKernel * * @param[in] input Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr, |