diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLElementwiseOperations.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLElementwiseOperations.h | 164 |
1 files changed, 89 insertions, 75 deletions
diff --git a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h index a7cb8b4226..6d9f3a0e97 100644 --- a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h +++ b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -41,24 +41,26 @@ class CLArithmeticAddition : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QSYMM16 (only if @p input1 is QSYMM16), S16/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), QSYMM16 (only if both inputs is QSYMM16), S16/F16/F32. - * @param[in] policy Policy to use to handle overflow. + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QSYMM16 (only if @p input1 is QSYMM16), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), QSYMM16 (only if both inputs is QSYMM16), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for addition * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QSYMM16 (only if @p input1 is QSYMM16), S16/F16/F32. - * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), QSYMM16 (only if both inputs is QSYMM16), S16/F16/F32. - * @param[in] policy Policy to use to handle overflow. + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QSYMM16 (only if @p input1 is QSYMM16), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), QSYMM16 (only if both inputs is QSYMM16), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; /** Basic function to run @ref CLSaturatedArithmeticOperationKernel for subtraction @@ -71,24 +73,26 @@ class CLArithmeticSubtraction : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. - * @param[in] policy Policy to use to handle overflow. + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for subtraction * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. - * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. - * @param[in] policy Policy to use to handle overflow. + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; /** Basic function to run @ref CLSaturatedArithmeticOperationKernel for division @@ -101,22 +105,24 @@ class CLArithmeticDivision : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output. * - * @param[in, out] input1 First tensor input. Data types supported: F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Same as @p input1. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported: Same as @p input1. + * @param[in, out] input1 First tensor input. Data types supported: F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Same as @p input1. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: Same as @p input1. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision * - * @param[in] input1 First tensor input info. Data types supported: F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: Same as @p input1. + * @param[in] input1 First tensor input info. Data types supported: F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[in] output Output tensor info. Data types supported: Same as @p input1. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; /** Basic function to run @ref CLArithmeticOperationKernel for max @@ -129,22 +135,24 @@ class CLElementwiseMax : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for max * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. - * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; /** Basic function to run @ref CLArithmeticOperationKernel for min @@ -157,22 +165,24 @@ class CLElementwiseMin : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for min * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. - * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; /** Basic function to run @ref CLArithmeticOperationKernel for squared difference @@ -185,22 +195,24 @@ class CLElementwiseSquaredDiff : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for squared difference * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. - * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, QSYMM16 (only if @p input1 is QSYMM16), F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16, QSYMM16 (only if both inputs are QSYMM16), F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; /** Basic function to run @ref CLArithmeticOperationKernel for power @@ -213,22 +225,24 @@ class CLElementwisePower : public ICLSimpleFunction public: /** Initialise the kernel's inputs, output and conversion policy. * - * @param[in, out] input1 First tensor input. Data types supported: F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[in, out] input2 Second tensor input. Data types supported: F16/F32. - * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. - * @param[out] output Output tensor. Data types supported:F16/F32. + * @param[in, out] input1 First tensor input. Data types supported: F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported:F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ - void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for power * - * @param[in] input1 First tensor input info. Data types supported: F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: F16/F32. - * @param[in] output Output tensor info. Data types supported: F16/F32. + * @param[in] input1 First tensor input info. Data types supported: F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: F16/F32. + * @param[in] output Output tensor info. Data types supported: F16/F32. + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. * * @return a status */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H */ |