diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLElementwiseOperations.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLElementwiseOperations.h | 183 |
1 files changed, 0 insertions, 183 deletions
diff --git a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h index c8c7e0c587..2b291517f3 100644 --- a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h +++ b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h @@ -33,189 +33,6 @@ class ICLTensor; class CLCompileContext; class ITensorInfo; -namespace experimental -{ -/** Basic function to run @ref arm_compute::opencl::kernels::ClSaturatedArithmeticKernel for division - * - * @note The tensor data type for the inputs must be F16/F32. - * @note The function performs an arithmetic division between two tensors. - */ -class CLArithmeticDivision : public ICLOperator -{ -public: - /** Default Constructor */ - CLArithmeticDivision(); - /** Initialise the kernel's inputs, output. - * - * @param[in] compile_context The compile context to be used. - * @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(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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] 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, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; -}; - -/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for max - * - * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * @note The function performs a max operation between two tensors. - */ -class CLElementwiseMax : public ICLOperator -{ -public: - /** Default Constructor */ - CLElementwiseMax(); - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in] compile_context The compile context to be used. - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/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: 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(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for max - * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; -}; - -/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for min - * - * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32. - * @note The function performs a max operation between two tensors. - */ -class CLElementwiseMin : public ICLOperator -{ -public: - /** Default Constructor */ - CLElementwiseMin(); - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in] compile_context The compile context to be used. - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/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: 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(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for min - * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; -}; - -/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for squared difference - * - * @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/F16/F32. - * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2 - */ -class CLElementwiseSquaredDiff : public ICLOperator -{ -public: - /** Default Constructor */ - CLElementwiseSquaredDiff(); - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in] compile_context The compile context to be used. - * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/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: 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(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for squared difference - * - * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/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, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; -}; - -/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for power - * - * @note The tensor data type for the inputs must be F16/F32. - * @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i]) - */ -class CLElementwisePower : public ICLOperator -{ -public: - /** Default Constructor */ - CLElementwisePower(); - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in] compile_context The compile context to be used. - * @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(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel 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] 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, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; -}; -} // namespace experimental - /** Basic function to run @ref opencl::kernels::ClSaturatedArithmeticKernel for addition * * @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32. |