mehrdadh commented on code in PR #13690: URL: https://github.com/apache/tvm/pull/13690#discussion_r1062762449
########## 3rdparty/mlperftiny/api/submitter_implemented.h: ########## @@ -0,0 +1,85 @@ +/* +Copyright 2020 EEMBC and The MLPerf Authors. All Rights Reserved. +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. +This file reflects a modified version of th_lib from EEMBC. All wrapped libc +methods from th_libc.h and all testharness methods from th_lib.h are here. Review Comment: Thirdparty should be fine. I changed the ones that are under apps ########## apps/microtvm/zephyr/template_project/src/mlperftiny/main.cc: ########## @@ -0,0 +1,37 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you 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 "api/internally_implemented.h" +#include "api/submitter_implemented.h" + +int main(int argc, char* argv[]) { +#if NRF_BOARD == 1 + // Set frequency to 128MHz for nrf5340dk_nrf534 by setting the clock divider to 0. + uint32_t* clock_div = (uint32_t*)0x50005558; Review Comment: I added a comment there. ########## 3rdparty/mlperftiny/README.md: ########## @@ -0,0 +1,2 @@ +# MLPerf™ Tiny Benchmark API +This directory includes API files to build a microTVM project that could be tested with EEMBC benchmark runner. API files are captured from [MLCommons/tiny repository](https://github.com/mlcommons/tiny). Review Comment: done ########## apps/microtvm/zephyr/template_project/src/mlperftiny/submitter_implemented.cc: ########## @@ -0,0 +1,208 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you 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 "api/submitter_implemented.h" + +#include <drivers/gpio.h> +#include <kernel.h> +#include <tvm/runtime/crt/platform.h> +#include <unistd.h> + +#include "api/internally_implemented.h" +#include "tvmruntime.h" +#include "zephyr_uart.h" + +static void* g_input_data; +#if TARGET_MODEL == 3 // AD +static uint8_t __aligned(4) g_input_data_buffer_aligned[MAX_DB_INPUT_SIZE]; +#endif + +#if EE_CFG_ENERGY_MODE == 1 && NRF_BOARD != 1 +// use GPIO PC6 which is on connector CN7 pin 1 on the nucleo_l4r5zi +static const char* g_gpio_device_name = "GPIOC"; +static const struct device* g_gpio_dev; +static const gpio_pin_t g_gpio_pin = 6; +#endif + +// Implement this method to prepare for inference and preprocess inputs. +void th_load_tensor() { +#if TARGET_MODEL == 1 // KWS + g_input_data = static_cast<void*>(ee_get_buffer_pointer()); +#elif TARGET_MODEL == 2 // VWW + int8_t* temp_int = reinterpret_cast<int8_t*>(ee_get_buffer_pointer()); + for (size_t i = 0; i < MAX_DB_INPUT_SIZE; i++) { + temp_int[i] -= 128; + } + g_input_data = static_cast<void*>(temp_int); +#elif TARGET_MODEL == 3 // AD + uint8_t* buffer = ee_get_buffer_pointer(); + memcpy(g_input_data_buffer_aligned, buffer, sizeof(g_input_data_buffer_aligned)); + g_input_data = g_input_data_buffer_aligned; +#elif TARGET_MODEL == 4 // IC + uint8_t* temp_uint = reinterpret_cast<uint8_t*>(ee_get_buffer_pointer()); + int8_t* temp_int = reinterpret_cast<int8_t*>(ee_get_buffer_pointer()); + for (size_t i = 0; i < MAX_DB_INPUT_SIZE; i++) { + if (temp_uint[i] <= 127) + temp_int[i] = ((int8_t)temp_uint[i]) - 128; + else + temp_int[i] = (int8_t)(temp_uint[i] - 128); + } + g_input_data = reinterpret_cast<void*>(temp_int); +#else +#error Wrong model +#endif +} + +#if TARGET_MODEL == 3 // model AD +// calculate |output - input| for AD model +static float calculate_result() { + size_t feature_size = g_output_data_len; + float diffsum = 0; + float* input_float = reinterpret_cast<float*>(g_input_data); + float* output_float = reinterpret_cast<float*>(g_output_data); + + for (size_t i = 0; i < feature_size; i++) { + float diff = output_float[i] - input_float[i]; + diffsum += diff * diff; + } + diffsum /= feature_size; + + return diffsum; +} +#endif + +// Add to this method to return real inference results. +void th_results() { + /** + * The results need to be printed back in exactly this format; if easier + * to just modify this loop than copy to results[] above, do that. + */ +#if TARGET_MODEL == 3 // model AD + th_printf("m-results-[%0.3f]\r\n", calculate_result()); +#else + size_t kCategoryCount = g_output_data_len; + th_printf("m-results-["); + for (size_t i = 0; i < kCategoryCount; i++) { + float converted = static_cast<float>(g_quant_scale * (g_output_data[i] - g_quant_zero)); + // float converted = static_cast<float>(g_output_data[i]); + th_printf("%.3f", converted); + if (i < (kCategoryCount - 1)) { + th_printf(","); + } + } + th_printf("]\r\n"); +#endif +} + +// Implement this method with the logic to perform one inference cycle. +void th_infer() { TVMInfer(g_input_data); } + +/// \brief optional API. +void th_final_initialize(void) { TVMRuntimeInit(); } + +void th_pre() {} +void th_post() {} + +void th_command_ready(char volatile* p_command) { + p_command = p_command; + ee_serial_command_parser_callback((char*)p_command); +} + +// th_libc implementations. +int th_strncmp(const char* str1, const char* str2, size_t n) { return strncmp(str1, str2, n); } + +char* th_strncpy(char* dest, const char* src, size_t n) { return strncpy(dest, src, n); } + +size_t th_strnlen(const char* str, size_t maxlen) { return strlen(str); } + +char* th_strcat(char* dest, const char* src) { return strcat(dest, src); } + +char* th_strtok(char* str1, const char* sep) { return strtok(str1, sep); } + +int th_atoi(const char* str) { return atoi(str); } + +void* th_memset(void* b, int c, size_t len) { return memset(b, c, len); } + +void* th_memcpy(void* dst, const void* src, size_t n) { return memcpy(dst, src, n); } + +/* N.B.: Many embedded *printf SDKs do not support all format specifiers. */ +int th_vprintf(const char* format, va_list ap) { return vprintf(format, ap); } +void th_printf(const char* p_fmt, ...) { + char buffer[128]; + int size; + va_list args; + va_start(args, p_fmt); + size = TVMPlatformFormatMessage(buffer, 128, p_fmt, args); + va_end(args); + TVMPlatformWriteSerial(buffer, (size_t)size); +} + +char th_getchar() { return TVMPlatformUartRxRead(); } + +void th_serialport_initialize(void) { Review Comment: done -- This is an automated message from the Apache Git Service. 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