From f7de54fc6fa6b40dfa2dfbe4c2a8ee933affa126 Mon Sep 17 00:00:00 2001 From: JanHenrik Date: Wed, 1 Apr 2020 00:40:03 +0200 Subject: added files --- .../ActivationFunctions/arm_nn_activations_q7.c | 91 ++++++++++++++++++++++ 1 file changed, 91 insertions(+) create mode 100644 cdc-dials/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c (limited to 'cdc-dials/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c') diff --git a/cdc-dials/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c b/cdc-dials/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c new file mode 100644 index 0000000..2953bd5 --- /dev/null +++ b/cdc-dials/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c @@ -0,0 +1,91 @@ +/* + * Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/* ---------------------------------------------------------------------- + * Project: CMSIS NN Library + * Title: arm_nn_activations_q7.c + * Description: Q7 neural network activation function using direct table look-up + * + * $Date: 17. January 2018 + * $Revision: V.1.0.0 + * + * Target Processor: Cortex-M cores + * + * -------------------------------------------------------------------- */ + +#include "arm_math.h" +#include "arm_common_tables.h" +#include "arm_nnfunctions.h" + +/** + * @ingroup groupNN + */ + +/** + * @addtogroup Acti + * @{ + */ + + /** + * @brief Q7 neural network activation function using direct table look-up + * @param[in,out] data pointer to input + * @param[in] size number of elements + * @param[in] int_width bit-width of the integer part, assume to be smaller than 3 + * @param[in] type type of activation functions + * @return none. + * + * @details + * + * This is the direct table look-up approach. + * + * Assume here the integer part of the fixed-point is <= 3. + * More than 3 just not making much sense, makes no difference with + * saturation followed by any of these activation functions. + */ + +void arm_nn_activations_direct_q7(q7_t * data, uint16_t size, uint16_t int_width, arm_nn_activation_type type) +{ + uint16_t i = size; + q7_t *pIn = data; + q7_t *pOut = data; + q7_t in; + q7_t out; + uint16_t shift_size = 3 - int_width; + const q7_t *lookup_table; + switch (type) + { + case ARM_SIGMOID: + lookup_table = sigmoidTable_q7; + break; + case ARM_TANH: + default: + lookup_table = tanhTable_q7; + break; + } + while (i) + { + in = *pIn++; + out = lookup_table[(uint8_t) (in >> shift_size)]; + *pOut++ = out; + i--; + } +} + +/** + * @} end of Acti group + */ -- cgit