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author | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-08 10:15:51 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-17 14:10:38 +0000 |
commit | 4c6bd514a8d424a29b776754f1b3426fa3a8c339 (patch) | |
tree | ed20ea238ae069ab138b62ea6879e0c1b955b606 /arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h | |
parent | d2f6d96cdc2ad2169c4abd0a8c4884f61ed6d186 (diff) | |
download | ComputeLibrary-4c6bd514a8d424a29b776754f1b3426fa3a8c339.tar.gz |
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 1
- Only CLKernels have been updated
Change-Id: Ife55b847c2e39e712a186eb6ca452503d5b66937
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3001
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h index 72ca4c5455..2845d9259e 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -68,6 +68,20 @@ public: * Along with @p min, this value can be used to implement "rectified linear unit" activation functions. Defaults to 0. */ void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int min = 0, int max = 0); + /** Initialise the kernel's input and output. + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Input tensor. Data type supported: S32 + * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required. + * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input. + * @param[out] output Output tensor. Data type supported: Data type supported: QSYMM16 + * @param[in] result_fixedpoint_multiplier Fixed point value to be multiplied to each element of the input matrix when once the result_offset has been add + * @param[in] result_shift Integer value used to round to nearest division by a power-of-two the result after the fixed point multiplication + * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QSYMM16. Defaults to 0. + * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QSYMM16. + * Along with @p min, this value can be used to implement "rectified linear unit" activation functions. Defaults to 0. + */ + void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int min = 0, int max = 0); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel * * @param[in] input Input tensor info. Data type supported: S32 |