From 1f332d4a41393ed30a4e9df841eb4b545fa87486 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Fri, 29 Nov 2019 17:25:25 +0000 Subject: COMPMID-2794: Add support for QASYMM8_SIGNED in CLGEMMLowpOutputStage Change-Id: I93ad3e5b9531ce1699214ff6e657a76ffdaacedd Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/2396 Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins --- .../runtime/CL/functions/CLGEMMLowpOutputStage.h | 67 +++++++++++++++++++++- 1 file changed, 64 insertions(+), 3 deletions(-) (limited to 'arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h') diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h b/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h index 0e70223998..25fa142b21 100644 --- a/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h +++ b/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h @@ -21,15 +21,15 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef __ARM_COMPUTE_CLGEMMLOWPOUTPUTSTAGE_H__ -#define __ARM_COMPUTE_CLGEMMLOWPOUTPUTSTAGE_H__ +#ifndef ARM_COMPUTE_CLGEMMLOWPOUTPUTSTAGE_H +#define ARM_COMPUTE_CLGEMMLOWPOUTPUTSTAGE_H #include "arm_compute/runtime/CL/ICLSimpleFunction.h" /** This file contains all available output stages for GEMMLowp on OpenCL. * * In gemmlowp, the "output stage" is the process that takes a final int32 accumulator value (the output of @ref CLGEMMLowpMatrixMultiplyCore), - * and processes it to obtain the final ASYMM8 value. + * and processes it to obtain the final QASYMM8/QASYMM8_SIGNED value. * * More information about the GEMMLowp output stage can be found at https://github.com/google/gemmlowp/blob/master/doc/output.md */ @@ -149,6 +149,67 @@ public: static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0); }; +/** Basic function to execute CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint on OpenCL. + * + * CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint depends on 3 parameters: + * + * result_fixedpoint_multiplier, result_shift, result_offset_after_shift + * + * The final result is: + * + * (FixedPointMul(input[i][k], result_fixedpoint_multiplier) >> result_shift) + result_offset_after_shift + * + * where FixedPointMul(x, y) is the nearest integer to the following + * mathematical expression, evaluated without overflow or intermediate rounding: + * + * (x * y) / 2^31 + * + * For more information: https://github.com/google/gemmlowp/blob/master/public/output_stages.h#L68 + * + * In case the bias tensor is provided, the final result is: + * + * ((FixedPointMul(input[i][k] + bias[k], result_fixedpoint_multiplier)) >> result_shift) + result_offset_after_shift + * + * This function calls the following OpenCL kernels: + * + * -# @ref CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel + * + * @note The function accepts also 2 optional input arguments (min and max) which can be used to implement "rectified linear unit" activation functions + * after the result is shifted right by result_shift +*/ +class CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output + * + * @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: QASYMM8_SIGNED + * @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 Number of bits to shift right the result after the fixed point multiplication + * @param[in] result_offset_after_shift Offset to be applied to result before converting it back to QASYMM8_SIGNED + * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8_SIGNED. Defaults to 0 + * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8_SIGNED. Defaults to 0 + * Along with @p min, this value can be used to implement "rectified linear unit" activation functions + */ + void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, + int min = 0, int max = 0); + /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint + * + * @param[in] input Input tensor. It is the output of @ref CLGEMMLowpMatrixMultiplyCore function. Data type supported: S32 + * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. + * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input. + * @param[in] output Output tensor. Data type supported: Data type supported: QASYMM8_SIGNED + * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8_SIGNED. Defaults to 0 + * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8_SIGNED. Defaults to 0 + * Along with @p min, this value can be used to implement "rectified linear unit" activation functions + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0); +}; + /** Basic function to execute CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat on OpenCL. * * This function calls the following OpenCL kernels: -- cgit v1.2.1