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authorjoshua <joshua@joshuayun.com>2023-12-30 23:54:31 -0500
committerjoshua <joshua@joshuayun.com>2023-12-30 23:54:31 -0500
commit86608c6770cf08c138a2bdab5855072f64be09ef (patch)
tree494a61b3ef37e76f9235a0d10f5c93d97290a35f /Drivers/CMSIS/NN/Source/ActivationFunctions
downloadsdr-software-master.tar.gz
initial commitHEADmaster
Diffstat (limited to 'Drivers/CMSIS/NN/Source/ActivationFunctions')
-rw-r--r--Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c101
-rw-r--r--Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c91
-rw-r--r--Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q15.c106
-rw-r--r--Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q7.c110
4 files changed, 408 insertions, 0 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
new file mode 100644
index 0000000..fd447e5
--- /dev/null
+++ b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q15.c
@@ -0,0 +1,101 @@
+/*
+ * 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
+ */
diff --git a/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_nn_activations_q7.c
new file mode 100644
index 0000000..2953bd5
--- /dev/null
+++ b/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
+ */
diff --git a/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q15.c b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q15.c
new file mode 100644
index 0000000..6a1b907
--- /dev/null
+++ b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q15.c
@@ -0,0 +1,106 @@
+/*
+ * 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_relu_q15.c
+ * Description: Q15 version of ReLU
+ *
+ * $Date: 17. January 2018
+ * $Revision: V.1.0.0
+ *
+ * Target Processor: Cortex-M cores
+ *
+ * -------------------------------------------------------------------- */
+
+#include "arm_math.h"
+#include "arm_nnfunctions.h"
+
+/**
+ * @ingroup groupNN
+ */
+
+/**
+ * @addtogroup Acti
+ * @{
+ */
+
+ /**
+ * @brief Q15 RELU function
+ * @param[in,out] data pointer to input
+ * @param[in] size number of elements
+ * @return none.
+ *
+ * @details
+ *
+ * Optimized relu with QSUB instructions.
+ *
+ */
+
+void arm_relu_q15(q15_t * data, uint16_t size)
+{
+
+#if defined (ARM_MATH_DSP)
+ /* Run the following code for Cortex-M4 and Cortex-M7 */
+
+ uint16_t i = size >> 1;
+ q15_t *pIn = data;
+ q15_t *pOut = data;
+ q31_t in;
+ q31_t buf;
+ q31_t mask;
+
+ while (i)
+ {
+ in = *__SIMD32(pIn)++;
+
+ /* extract the first bit */
+ buf = __ROR(in & 0x80008000, 15);
+
+ /* if MSB=1, mask will be 0xFF, 0x0 otherwise */
+ mask = __QSUB16(0x00000000, buf);
+
+ *__SIMD32(pOut)++ = in & (~mask);
+ i--;
+ }
+
+ if (size & 0x1)
+ {
+ if (*pIn < 0)
+ {
+ *pIn = 0;
+ }
+ pIn++;
+ }
+#else
+ /* Run the following code as reference implementation for Cortex-M0 and Cortex-M3 */
+ uint16_t i;
+
+ for (i = 0; i < size; i++)
+ {
+ if (data[i] < 0)
+ data[i] = 0;
+ }
+
+#endif /* ARM_MATH_DSP */
+
+}
+
+/**
+ * @} end of Acti group
+ */
diff --git a/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q7.c b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q7.c
new file mode 100644
index 0000000..caa027b
--- /dev/null
+++ b/Drivers/CMSIS/NN/Source/ActivationFunctions/arm_relu_q7.c
@@ -0,0 +1,110 @@
+/*
+ * 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_relu_q7.c
+ * Description: Q7 version of ReLU
+ *
+ * $Date: 17. January 2018
+ * $Revision: V.1.0.0
+ *
+ * Target Processor: Cortex-M cores
+ *
+ * -------------------------------------------------------------------- */
+
+#include "arm_math.h"
+#include "arm_nnfunctions.h"
+
+/**
+ * @ingroup groupNN
+ */
+
+/**
+ * @addtogroup Acti
+ * @{
+ */
+
+ /**
+ * @brief Q7 RELU function
+ * @param[in,out] data pointer to input
+ * @param[in] size number of elements
+ * @return none.
+ *
+ * @details
+ *
+ * Optimized relu with QSUB instructions.
+ *
+ */
+
+void arm_relu_q7(q7_t * data, uint16_t size)
+{
+
+#if defined (ARM_MATH_DSP)
+ /* Run the following code for Cortex-M4 and Cortex-M7 */
+
+ uint16_t i = size >> 2;
+ q7_t *pIn = data;
+ q7_t *pOut = data;
+ q31_t in;
+ q31_t buf;
+ q31_t mask;
+
+ while (i)
+ {
+ in = *__SIMD32(pIn)++;
+
+ /* extract the first bit */
+ buf = __ROR(in & 0x80808080, 7);
+
+ /* if MSB=1, mask will be 0xFF, 0x0 otherwise */
+ mask = __QSUB8(0x00000000, buf);
+
+ *__SIMD32(pOut)++ = in & (~mask);
+ i--;
+ }
+
+ i = size & 0x3;
+ while (i)
+ {
+ if (*pIn < 0)
+ {
+ *pIn = 0;
+ }
+ pIn++;
+ i--;
+ }
+
+#else
+ /* Run the following code as reference implementation for Cortex-M0 and Cortex-M3 */
+
+ uint16_t i;
+
+ for (i = 0; i < size; i++)
+ {
+ if (data[i] < 0)
+ data[i] = 0;
+ }
+
+#endif /* ARM_MATH_DSP */
+
+}
+
+/**
+ * @} end of Acti group
+ */
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