mirror of
https://github.com/jomjol/AI-on-the-edge-device.git
synced 2025-12-12 14:37:06 +03:00
Rolling 20220526
This commit is contained in:
97
code/components/esp-nn/src/basic_math/esp_nn_add_ansi.c
Normal file
97
code/components/esp-nn/src/basic_math/esp_nn_add_ansi.c
Normal file
@@ -0,0 +1,97 @@
|
||||
// Copyright 2020-2021 Espressif Systems (Shanghai) PTE LTD
|
||||
//
|
||||
// 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
|
||||
//
|
||||
// http://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.
|
||||
|
||||
#include <stdint.h>
|
||||
|
||||
#include <common_functions.h>
|
||||
|
||||
void esp_nn_add_elementwise_u8_ansi(const uint8_t *input1_data,
|
||||
const uint8_t *input2_data,
|
||||
const int32_t input1_offset,
|
||||
const int32_t input2_offset,
|
||||
const int32_t input1_mult,
|
||||
const int32_t input2_mult,
|
||||
const int32_t input1_shift,
|
||||
const int32_t input2_shift,
|
||||
const int32_t left_shift,
|
||||
uint8_t *output,
|
||||
const int32_t out_offset,
|
||||
const int32_t out_mult,
|
||||
const int32_t out_shift,
|
||||
const int32_t activation_min,
|
||||
const int32_t activation_max,
|
||||
const int32_t size)
|
||||
{
|
||||
for (int i = 0; i < size; i++) {
|
||||
int32_t tmp1 = input1_data[i] + input1_offset;
|
||||
int32_t tmp2 = input2_data[i] + input2_offset;
|
||||
|
||||
tmp1 <<= left_shift;
|
||||
tmp2 <<= left_shift;
|
||||
|
||||
tmp1 = esp_nn_sat_round_doubling_high_mul(tmp1, input1_mult);
|
||||
tmp2 = esp_nn_sat_round_doubling_high_mul(tmp2, input2_mult);
|
||||
|
||||
tmp1 = esp_nn_div_by_power_of_two(tmp1, -input1_shift);
|
||||
tmp2 = esp_nn_div_by_power_of_two(tmp2, -input2_shift);
|
||||
|
||||
int32_t out = tmp1 + tmp2;
|
||||
out = esp_nn_sat_round_doubling_high_mul(out, out_mult);
|
||||
out = esp_nn_div_by_power_of_two(out, -out_shift);
|
||||
out = out + out_offset;
|
||||
|
||||
out = max(activation_min, min(out, activation_max));
|
||||
output[i] = (uint8_t) out;
|
||||
}
|
||||
}
|
||||
|
||||
void esp_nn_add_elementwise_s8_ansi(const int8_t *input1_data,
|
||||
const int8_t *input2_data,
|
||||
const int32_t input1_offset,
|
||||
const int32_t input2_offset,
|
||||
const int32_t input1_mult,
|
||||
const int32_t input2_mult,
|
||||
const int32_t input1_shift,
|
||||
const int32_t input2_shift,
|
||||
const int32_t left_shift,
|
||||
int8_t *output,
|
||||
const int32_t out_offset,
|
||||
const int32_t out_mult,
|
||||
const int32_t out_shift,
|
||||
const int32_t activation_min,
|
||||
const int32_t activation_max,
|
||||
const int32_t size)
|
||||
{
|
||||
for (int i = 0; i < size; i++) {
|
||||
int32_t tmp1 = input1_data[i] + input1_offset;
|
||||
int32_t tmp2 = input2_data[i] + input2_offset;
|
||||
|
||||
tmp1 <<= left_shift;
|
||||
tmp2 <<= left_shift;
|
||||
|
||||
tmp1 = esp_nn_sat_round_doubling_high_mul(tmp1, input1_mult);
|
||||
tmp2 = esp_nn_sat_round_doubling_high_mul(tmp2, input2_mult);
|
||||
|
||||
tmp1 = esp_nn_div_by_power_of_two(tmp1, -input1_shift);
|
||||
tmp2 = esp_nn_div_by_power_of_two(tmp2, -input2_shift);
|
||||
|
||||
int32_t out = tmp1 + tmp2;
|
||||
out = esp_nn_sat_round_doubling_high_mul(out, out_mult);
|
||||
out = esp_nn_div_by_power_of_two(out, -out_shift);
|
||||
out = out + out_offset;
|
||||
|
||||
out = max(activation_min, min(out, activation_max));
|
||||
output[i] = (int8_t) out;
|
||||
}
|
||||
}
|
||||
42
code/components/esp-nn/src/basic_math/esp_nn_mul_ansi.c
Normal file
42
code/components/esp-nn/src/basic_math/esp_nn_mul_ansi.c
Normal file
@@ -0,0 +1,42 @@
|
||||
// Copyright 2020-2021 Espressif Systems (Shanghai) PTE LTD
|
||||
//
|
||||
// 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
|
||||
//
|
||||
// http://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.
|
||||
|
||||
#include <stdint.h>
|
||||
|
||||
#include <common_functions.h>
|
||||
|
||||
void esp_nn_mul_elementwise_s8_ansi(const int8_t *input1_data,
|
||||
const int8_t *input2_data,
|
||||
const int32_t input1_offset,
|
||||
const int32_t input2_offset,
|
||||
int8_t *output,
|
||||
const int32_t out_offset,
|
||||
const int32_t out_mult,
|
||||
const int32_t out_shift,
|
||||
const int32_t activation_min,
|
||||
const int32_t activation_max,
|
||||
const int32_t size)
|
||||
{
|
||||
for (int i = 0; i < size; i++) {
|
||||
int32_t tmp1 = input1_data[i] + input1_offset;
|
||||
int32_t tmp2 = input2_data[i] + input2_offset;
|
||||
|
||||
int32_t out = tmp1 * tmp2;
|
||||
out = esp_nn_multiply_by_quantized_mult(out, out_mult, out_shift);
|
||||
out = out + out_offset;
|
||||
|
||||
out = max(activation_min, min(out, activation_max));
|
||||
output[i] = (int8_t) out;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user