diff options
Diffstat (limited to 'Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c')
| -rw-r--r-- | Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c | 197 |
1 files changed, 101 insertions, 96 deletions
diff --git a/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c index cb8a08f..fd447e5 100644 --- a/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c +++ b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c @@ -1,96 +1,101 @@ -/* - * Copyright (C) 2010-2020 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_q15.c - * Description: Q15 neural network activation function using direct table look-up - * - * $Date: 09. October 2020 - * $Revision: V.1.0.1 - * - * Target Processor: Cortex-M cores - * - * -------------------------------------------------------------------- */ - -#include "arm_nn_tables.h" -#include "arm_nnfunctions.h" - -/** - * @ingroup groupNN - */ - -/** - * @addtogroup Acti - * @{ - */ - -/** - * @brief neural network activation function using direct table look-up - * - * @note Refer header file for details. - * - */ - -void arm_nn_activations_direct_q15(q15_t *data, uint16_t size, uint16_t int_width, arm_nn_activation_type type) -{ - uint16_t i = size; - q15_t *pIn = data; - q15_t *pOut = data; - uint16_t shift_size = 8 + 3 - int_width; - uint32_t bit_mask = 0x7FF >> int_width; - uint32_t full_frac = bit_mask + 1; - const q15_t *lookup_table; - - switch (type) - { - case ARM_SIGMOID: - lookup_table = sigmoidTable_q15; - break; - case ARM_TANH: - default: - lookup_table = tanhTable_q15; - break; - } - - while (i) - { - q15_t out; - q15_t in = *pIn++; - q15_t frac = (uint32_t)in & bit_mask; - q15_t value = lookup_table[(uint8_t)(in >> shift_size)]; - if ((in >> shift_size) != 0x7f) - { - q15_t value2 = lookup_table[(uint8_t)(1 + ((uint8_t)(in >> shift_size)))]; - /* doing the interpolation here for better accuracy */ - out = ((q31_t)(full_frac - frac) * value + (q31_t)value2 * frac) >> shift_size; - } - else - { - /* the largest positive value does not have a right side for linear interpolation */ - out = value; - } - - *pOut++ = out; - i--; - } -} - -/** - * @} end of Acti group - */ +/*
+ * 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_q15.c
+ * Description: Q15 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 Q15 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_q15(q15_t * data, uint16_t size, uint16_t int_width, arm_nn_activation_type type)
+{
+ uint16_t i = size;
+ q15_t *pIn = data;
+ q15_t *pOut = data;
+ uint16_t shift_size = 8 + 3 - int_width;
+ uint32_t bit_mask = 0x7FF >> int_width;
+ uint32_t full_frac = bit_mask + 1;
+ const q15_t *lookup_table;
+
+ switch (type)
+ {
+ case ARM_SIGMOID:
+ lookup_table = sigmoidTable_q15;
+ break;
+ case ARM_TANH:
+ default:
+ lookup_table = tanhTable_q15;
+ break;
+ }
+
+ while (i)
+ {
+ q15_t out;
+ q15_t in = *pIn++;
+ q15_t frac = (uint32_t) in & bit_mask;
+ q15_t value = lookup_table[__USAT(in >> shift_size, 8)];
+ q15_t value2 = lookup_table[__USAT(1 + (in >> shift_size), 8)];
+
+ /* doing the interpolation here for better accuracy */
+ out = ((q31_t) (full_frac - frac) * value + (q31_t) value2 * frac) >> shift_size;
+
+ *pOut++ = out;
+ i--;
+ }
+
+}
+
+/**
+ * @} end of Acti group
+ */
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