diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h | 53 |
1 files changed, 0 insertions, 53 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h b/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h index 486b9c6791..f29d5d464b 100644 --- a/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h +++ b/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h @@ -38,59 +38,6 @@ namespace arm_compute { class ITensor; -/** Basic function to execute NEGEMMLowpQuantizeDownInt32ToUint8Scale on NEON. - * - * NEGEMMLowpQuantizeDownInt32ToUint8Scale depends on 3 parameters: result_offset, result_mult_int, result_shift - * The final result is: - * - * ((input[i][k] + result_offset) * result_mult_int) >> result_shift - * - * In case the bias tensor is provided, the final result is: - * - * ((input[i][k] + bias[k] + result_offset) * result_mult_int) >> result_shift - * - * This function calls the following NEON kernels: - * - * -# @ref NEGEMMLowpQuantizeDownInt32ScaleKernel - * - * @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 NEGEMMLowpQuantizeDownInt32ToUint8Scale : public INESimpleFunctionNoBorder -{ -public: - /** Initialise the kernel's inputs, output - * - * @param[in] input Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore 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[out] output Output tensor. Data type supported: Data type supported: QASYMM8 - * @param[in] result_offset Offset to be added to each element of the input matrix - * @param[in] result_mult_int 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 before converting back to QASYMM8 - * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8. Defaults to the minimum possible 32-bit signed integer. - * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8, - * Along with @p min, this value can be used to implement "rectified linear unit" activation functions. Defaults to the maximum possible 32-bit signed integer. - */ - ARM_COMPUTE_DEPRECATED_REL(20.05) - void configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_offset, int result_mult_int, int result_shift, int min = std::numeric_limits<int32_t>::lowest(), - int max = std::numeric_limits<int32_t>::max()); - /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpQuantizeDownInt32ToUint8Scale - * - * @param[in] input Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore 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 - * @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8. Defaults to the minimum possible 32-bit signed integer. - * @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8, - * Along with @p min, this value can be used to implement "rectified linear unit" activation functions. Defaults to the maximum possible 32-bit signed integer. - * - * @return a status - */ - ARM_COMPUTE_DEPRECATED_REL(20.05) - static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = std::numeric_limits<int32_t>::lowest(), int max = std::numeric_limits<int32_t>::max()); -}; - /** Basic function to execute NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint on NEON. * * NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint depends on 3 parameters: |