diff options
Diffstat (limited to 'arm_compute/core/CL/kernels')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h | 12 | ||||
| -rw-r--r-- | arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h | 13 | ||||
| -rw-r--r-- | arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h | 10 |
3 files changed, 32 insertions, 3 deletions
diff --git a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h index 03112d282a..38aa63e98f 100644 --- a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -58,6 +58,16 @@ public: * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. */ void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *min_max); + /** Static function to check if given info will lead to a valid configuration of @ref CLDequantizationLayerKernel + * + * @param[in] input Input tensor info. Data types supported: U8. + * @param[in] output Output tensor info. Data types supported: F32. + * @param[in] min_max Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. + * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; diff --git a/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h b/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h index a0eba4879b..0faa5c0bde 100644 --- a/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -49,9 +49,18 @@ public: * * @param[in] input Input tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches.Data types supported: F32. * @param[out] output Output tensor with shape [2, batches, ...] which stores the minimum and maximum values for each 3D input tensor. - * The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32. + * The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32. */ void configure(const ICLTensor *input, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLMinMaxLayerKernel + * + * @param[in] input Input tensor info. Data types supported: F32. + * @param[in] output Output tensor info with shape [2, batches, ...] which stores the minimum and maximum values for each 3D input tensor. + * The dimensions over the second must match the batched dimensions of the input tensor. Data types supported: F32. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output); /** Resets global minimum and maximum * diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h index a24ddb1a3a..49d76087b5 100644 --- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h @@ -57,6 +57,16 @@ public: * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. */ void configure(const ICLTensor *input, ICLTensor *output, ICLTensor *min_max); + /** Static function to check if given info will lead to a valid configuration of @ref CLQuantizationLayerKernel + * + * @param[in] input Input tensor info. Data types supported: F32. + * @param[in] output Output tensor info. Output data type must be U8. + * @param[in] min_max Info for the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. + * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; |