a5f063f8b3
The rdc.h is modified for new discovery and grouping APIs. The RdcGroupSettingsImpl.cc is added to implement the GPU group and the field group management. The RdcMetricFetcherImpl.cc is added to fetch the metrics from rocm_smi_lib. Currently, only support power, memory, GPU utilization, temperature, GPU clock, total device and device name. A new example field_value_example.cc is added to demo how to record the fields and retrieve data from cache. Change-Id: I57acfa048fe9b3d848e2d441e768b3a63ccae3f8
184 рядки
7.3 KiB
C++
184 рядки
7.3 KiB
C++
/*
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Copyright (c) 2020 - present Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#include <unistd.h>
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#include <iostream>
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#include "rdc/rdc.h"
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int main(int, char **) {
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rdc_status_t result;
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rdc_handle_t rdc_handle;
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bool standalone = false;
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char hostIpAddress[] = {"127.0.0.1:50051"};
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char group_name[] = {"group1"};
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char job_id[] = {"123"};
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// Select the embedded mode and standalone mode dynamically.
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std::cout << "Start rdci in: \n";
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std::cout << "0 - Embedded mode \n";
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std::cout << "1 - Standalone mode \n";
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while (!(std::cin >> standalone)) {
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std::cout << "Invalid input.\n";
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std::cin.clear();
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std::cin.ignore();
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}
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std::cout << std::endl;
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std::cout << (standalone?
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"Standalone mode selected.\n":"Embedded mode selected.\n");
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// Init the rdc
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result = rdc_init(0);
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if (result != RDC_ST_OK) {
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std::cout << "Error initializing RDC. Return: " <<
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rdc_status_string(result) << std::endl;
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goto cleanup;
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} else {
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std::cout << "RDC Initialized.\n";
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}
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if (standalone) { // standalone
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result = rdc_connect(hostIpAddress, &rdc_handle);
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if ( result != RDC_ST_OK ) {
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std::cout << "Error connecting to remote rdcd. Return: "
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<< rdc_status_string(result) << std::endl;
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goto cleanup;
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}
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} else { // embedded
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result = rdc_start_embedded(RDC_OPERATION_MODE_AUTO, &rdc_handle);
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if (result != RDC_ST_OK) {
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std::cout << "Error starting embedded RDC engine. Return: "
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<< rdc_status_string(result) << std::endl;
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goto cleanup;
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}
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}
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// Now we can use the same API for both standalone and embedded
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// (1) create group and add GPUs
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rdc_gpu_group_t group_id;
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result = rdc_group_gpu_create(rdc_handle, RDC_GROUP_EMPTY,
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group_name, &group_id);
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if (result != RDC_ST_OK) {
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std::cout << "Error creating group. Return: "
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<< rdc_status_string(result);
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goto cleanup;
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}
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result = rdc_group_gpu_add(rdc_handle, group_id, 0); // Add GPU 0
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if (result != RDC_ST_OK) {
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std::cout << "Error adding group. Return: "
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<< rdc_status_string(result);
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goto cleanup;
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}
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// (2) start the recording. Set the sample frequency to once per second, the
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// max keep age to one hour and the maximum number of samples to
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// keep to unlimited.
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result = rdc_job_start_stats(rdc_handle, group_id,
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job_id, 1000000, 3600, 0);
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if (result != RDC_ST_OK) {
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std::cout << "Error start job stats. Return: "
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<< rdc_status_string(result);
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goto cleanup;
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}
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// For standalone mode, the daemon will update and cache the samples
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// In manual mode, we must call rdc_update_all_fields periodically to
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// take samples.
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if (!standalone) { // embedded manual mode
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for (int i=5; i > 0 ; i--) { // As an example, we will take 5 samples
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result = rdc_update_all_fields(rdc_handle, 0);
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if (result != RDC_ST_OK) {
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std::cout << "Error update all fields. Return: "
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<< rdc_status_string(result);
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goto cleanup;
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}
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usleep(1000000);
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}
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} else { // standalone mode, do nothing
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usleep(5000000); // sleep 5 seconds before fetch the stats
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}
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// (3) stop the Slurm job, which will stop the watch
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// We do not have to stop the job to get stats. The rdc_job_get_stats can be
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// called at any time before stop
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result = rdc_job_stop_stats(rdc_handle, job_id);
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if (result != RDC_ST_OK) {
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std::cout << "Error stop job stats. Return: "
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<< rdc_status_string(result);
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goto cleanup;
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}
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// (4) Get the stats
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rdc_job_info_t job_info;
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result = rdc_job_get_stats(rdc_handle, job_id, &job_info);
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if (result == RDC_ST_OK) {
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std::cout << "|------- Execution Stats ----------+"
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<<"------------------------------------\n";
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std::cout << "| Start Time * | "
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<< job_info.summary.start_time<< "\n";
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std::cout << "| End Time * | "
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<< job_info.summary.end_time <<"\n";
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std::cout << "| Total Execution Time (sec) * | "
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<< (job_info.summary.end_time-job_info.summary.start_time)
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<< "\n";
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std::cout << "+------- Performance Stats --------+"
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<< "------------------------------------\n";
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std::cout << "| Energy Consumed (Joules) | "
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<< job_info.summary.energy_consumed << "\n";
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std::cout << "| Power Usage (Watts) | "
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<< "Max: " << job_info.summary.power_usage.max_value
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<< " Min: "<< job_info.summary.power_usage.min_value
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<< " Avg: "<< job_info.summary.power_usage.average << "\n";
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std::cout << "| SM Clock (MHz) | "
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<< "Max: " <<job_info.summary.gpu_clock.max_value
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<<" Min: " << job_info.summary.gpu_clock.min_value
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<<" Avg: "<< job_info.summary.gpu_clock.average << "\n";
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std::cout << "| SM Utilization (%) | "
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<< "Max: " <<job_info.summary.gpu_utilization.max_value
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<<" Min: "<< job_info.summary.gpu_utilization.min_value
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<<" Avg: "<< job_info.summary.gpu_utilization.average << "\n";
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std::cout << "| Max GPU Memory Used (bytes) * | "
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<< job_info.summary.max_gpu_memory_used << "\n";
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std::cout << "| Memory Utilization (%) | "
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<< "Max: " << job_info.summary.memory_utilization.max_value
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<<" Min: "<< job_info.summary.memory_utilization.min_value
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<<" Avg: "<< job_info.summary.memory_utilization.average << "\n";
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std::cout << "+----------------------------------+"
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<< "------------------------------------\n";
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} else {
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std::cout << "No data for job stats found." << std::endl;
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}
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// Cleanup consists of shutting down RDC.
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cleanup:
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std::cout << "Cleaning up.\n";
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if (standalone)
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rdc_disconnect(rdc_handle);
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else
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rdc_stop_embedded(rdc_handle);
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rdc_shutdown();
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return result;
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}
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