diff options
Diffstat (limited to 'arm_compute/core/CL/kernels')
10 files changed, 33 insertions, 33 deletions
diff --git a/arm_compute/core/CL/kernels/CLActivationLayerKernel.h b/arm_compute/core/CL/kernels/CLActivationLayerKernel.h index cb2fda2be8..5b65a54824 100644 --- a/arm_compute/core/CL/kernels/CLActivationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLActivationLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016-2019 ARM Limited. + * Copyright (c) 2016-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -51,7 +51,7 @@ public: * @note If the output tensor is a nullptr, the activation function will be performed in-place * * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result - * of the activation function. Data types supported: QASYMM8/QSYMM16/F16/F32. + * of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32. * @param[out] output Destination tensor. Data type supported: same as @p input * @param[in] act_info Activation layer information. */ @@ -59,7 +59,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLActivationLayerKernel * * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result - * of the activation function. Data types supported: QASYMM8/QSYMM16/F16/F32. + * of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32. * @param[in] output Destination tensor info. Data type supported: same as @p input * @param[in] act_info Activation layer information. * diff --git a/arm_compute/core/CL/kernels/CLComparisonKernel.h b/arm_compute/core/CL/kernels/CLComparisonKernel.h index 21c6aeb064..a9c463901d 100644 --- a/arm_compute/core/CL/kernels/CLComparisonKernel.h +++ b/arm_compute/core/CL/kernels/CLComparisonKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -50,7 +50,7 @@ public: ~CLComparisonKernel() = default; /** Set the inputs and output tensors * - * @param[in] input1 Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. + * @param[in] input1 Source tensor. Data types supported: All. * @param[in] input2 Source tensor. Data types supported: Same as @p input1. * @param[out] output Destination tensor. Data types supported: U8. * @param[in] operation Comparison operation to use. @@ -58,7 +58,7 @@ public: void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ComparisonOperation operation); /** Static function to check if given info will lead to a valid configuration of @ref CLComparisonKernel * - * @param[in] input1 Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. + * @param[in] input1 Source tensor. Data types supported: All. * @param[in] input2 Source tensor. Data types supported: Same as @p input1. * @param[in] output Destination tensor. Data types supported: U8. * @param[in] operation Comparison operation to use. diff --git a/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h b/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h index 6518dfc84c..b204eaa2ac 100644 --- a/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h +++ b/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -55,7 +55,7 @@ public: ~CLConvertFullyConnectedWeightsKernel() = default; /** Set the input and output tensor. * - * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. + * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). * @param[in] data_layout The data layout the weights have been trained in. @@ -63,7 +63,7 @@ public: void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeightsKernel * - * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. + * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input. * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). * @param[in] data_layout The data layout the weights have been trained in. diff --git a/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h b/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h index 8382f3b4d7..a1c6bbdafe 100644 --- a/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h +++ b/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h @@ -50,14 +50,14 @@ public: /** Initialise the kernel's input and output. * - * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32. + * @param[in] input Source tensor. Data types supported: All. * @param[out] output Destination tensor. Data types supported: same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. * @param[in] info Contains padding and stride information described in @ref PadStrideInfo. */ void configure(const ICLTensor *input, ICLTensor *output, const PadStrideInfo &info); /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayerUpsample * - * @param[in] input Source tensor info. Data types supported: QASYMM8/F16/F32. + * @param[in] input Source tensor info. Data types supported: All. * @param[in] output Destination tensor info. Data types supported: same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. * @param[in] info Contains padding and stride information described in @ref PadStrideInfo. * diff --git a/arm_compute/core/CL/kernels/CLDepthToSpaceLayerKernel.h b/arm_compute/core/CL/kernels/CLDepthToSpaceLayerKernel.h index 6ae991c8e7..637e5fa960 100644 --- a/arm_compute/core/CL/kernels/CLDepthToSpaceLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDepthToSpaceLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -49,14 +49,14 @@ public: ~CLDepthToSpaceLayerKernel() = default; /** Initialise the kernel's inputs and output. * - * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. + * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. * @param[out] output Tensor output. Data types supported: same as @p input * @param[in] block_shape Block shape value. */ void configure(const ICLTensor *input, ICLTensor *output, int32_t block_shape); /** Static function to check if given info will lead to a valid configuration of @ref CLDepthToSpaceLayerKernel. * - * @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. + * @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All. * @param[in] output Tensor output info. Data types supported: same as @p input * @param[in] block_shape Block shape value. * diff --git a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h index d79cd89883..78b5c14128 100644 --- a/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -48,13 +48,13 @@ public: ~CLDequantizationLayerKernel() = default; /** Set the input, output, min and max. * - * @param[in] input Source tensor. Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16. + * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16. * @param[out] output Destination tensor. Data types supported: F16/F32. */ void configure(const ICLTensor *input, ICLTensor *output); /** 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: QASYMM8/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16. + * @param[in] input Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16. * @param[in] output Output tensor info. Data types supported: F16/F32. * * @return a status diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h index 821c6ae5bb..8ee911dc0e 100644 --- a/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -46,16 +46,16 @@ public: CLGEMMMatrixVectorMultiplyKernel &operator=(CLGEMMMatrixVectorMultiplyKernel &&) = default; /** Set the input and output of the kernel. * - * @param[in] input0 The reshaped input tensor. Data types supported: QASYMM8/F16/F32 - * @param[in] input1 The 2D reshaped weights tensor. Data type supported: Same as @p input, S32 for QASYMM8 input. - * @param[out] output The output 2D tensor. Data types supported: Same as @p input + * @param[in] input0 The reshaped input tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 + * @param[in] input1 The 2D reshaped weights tensor. Data type supported: Same as @p input. + * @param[out] output The output 2D tensor. Data types supported: Same as @p input, S32 for QASYMM8/QASYMM8_SIGNED. */ void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixVectorMultiplyKernel * - * @param[in] input0 The reshaped input tensor. Data types supported: QASYMM8/F16/F32 - * @param[in] input1 The 2D reshaped weights tensor. Data type supported: Same as @p input, S32 for QASYMM8 input. - * @param[in] output The output 2D tensor. Data types supported: Same as @p input + * @param[in] input0 The reshaped input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 + * @param[in] input1 The 2D reshaped weights tensor info. Data type supported: Same as @p input. + * @param[in] output The output 2D tensor info. Data types supported: Same as @p input, S32 for QASYMM8/QASYMM8_SIGNED. * * @return a status */ diff --git a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h index d54aae31c5..4334882fd8 100644 --- a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -50,7 +50,7 @@ public: /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. - * Data types supported: QASYMM8/F16/F32. + * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[out] output Destination tensor. Data type supported: same as @p input * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels. @@ -60,7 +60,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel * * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. - * Data types supported: QASYMM8/F16/F32. + * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[out] output Destination tensor info. Data type supported: same as @p input * @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels. diff --git a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h index 0e5027b29a..58471ab299 100644 --- a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h +++ b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016-2019 ARM Limited. + * Copyright (c) 2016-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -48,7 +48,7 @@ public: CLPixelWiseMultiplicationKernel &operator=(CLPixelWiseMultiplicationKernel &&) = default; /** Initialise the kernel's input, output and border mode. * - * @param[in] input1 An input tensor. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32. + * @param[in] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32. * @param[in] input2 An input tensor. Data types supported: same as @p input1. * @param[out] output The output tensor, Data types supported: same as @p input1. Note: U8 requires both inputs to be U8. * @param[in] scale Scale to apply after multiplication. @@ -60,7 +60,7 @@ public: ConvertPolicy overflow_policy, RoundingPolicy rounding_policy); /** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplicationKernel * - * @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32. + * @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32. * @param[in] input2 An input tensor info. Data types supported: same as @p input1. * @param[in] output The output tensor info, Data types supported: same as @p input1. Note: U8 requires both inputs to be U8. * @param[in] scale Scale to apply after multiplication. diff --git a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h index 95acdf4b6c..4b3ee24333 100644 --- a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -52,14 +52,14 @@ public: /** Set the input and output tensors. * * - * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32. + * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[out] output Destination tensor. Data types supported: Same as @p input. * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo. */ void configure(const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info); /** Static function to check if given info will lead to a valid configuration of @ref CLPoolingLayerKernel * - * @param[in] input Source tensor info. Data types supported: QASYMM8/F16/F32. + * @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[in] output Destination tensor info. Data types supported: Same as @p input. * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo. * |