diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h | 30 |
1 files changed, 16 insertions, 14 deletions
diff --git a/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h b/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h index ca0da513ad..ddd4b12eca 100644 --- a/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h +++ b/arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -42,26 +42,28 @@ public: CLInstanceNormalizationLayer(); /** Set the input and output tensors. * - * @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization. - * Data types supported: F16/F32. Data layout supported: NHWC, NCHW - * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. - * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0 - * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0 - * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12 + * @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization. + * Data types supported: F16/F32. Data layout supported: NHWC, NCHW + * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input. + * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0 + * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0 + * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12 + * @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution */ - void configure(ICLTensor *input, ICLTensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f); + void configure(ICLTensor *input, ICLTensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true); /** 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. - * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0 - * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0 - * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12 + * @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. + * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0 + * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0 + * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12 + * @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f, bool use_mixed_precision = true); }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLINSTANCENORMALIZATIONLAYER_H */ |