Rolling 20220526

This commit is contained in:
jomjol
2022-05-26 20:31:26 +02:00
parent cce812ff11
commit 00028010ee
203 changed files with 12003 additions and 1226 deletions

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// 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;
}
}

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// 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;
}
}