small changes in submission script
This commit is contained in:
Silas Oettinghaus
@@ -12,19 +12,33 @@ arguments
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options.mode
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end
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% Initialize output structures
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output.ffe_package = {};
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output.mlse_package = {};
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output.vnle_package = {};
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output.dbtgt_package = {};
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output.dbenc_package = {};
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try
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if options.mode == "load_run_id" || options.append_to_db
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% Initialize output structures
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output.ffe_package = {};
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output.mlse_package = {};
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output.vnle_package = {};
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output.dbtgt_package = {};
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output.dbenc_package = {};
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if options.mode == "load_run_id" || options.append_to_db
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% Initialize database connection
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database = DBHandler("dataBase", [options.dataBase], "type", options.database_type );
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end
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if options.mode == "load_run_id"
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% 2. Check if an equalizer configuration with the same hash exists
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queryStr = sprintf('SELECT COUNT(DISTINCT eq_id) AS unique_eq_count, COUNT(*) AS entries_for_run FROM `Results` WHERE run_id = %d', run_id);
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existing_results = database.fetch(queryStr);
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if existing_results.unique_eq_count >= 6
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if (existing_results.entries_for_run / existing_results.unique_eq_count) > 8
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return
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end
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end
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end
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if options.mode == "load_run_id"
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dataTable = queryRunid(run_id, database);
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fsym = dataTable.symbolrate;
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@@ -39,7 +53,7 @@ if options.mode == "load_run_id"
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% Load and Sync signal data from DB
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[Tx_bits, Symbols, Scpe_cell, ~] = loadAndSyncSignalDataFromDb(dataTable, options);
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elseif options.mode == "load_files"
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elseif options.mode == "load_files"
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Tx_bits = load(options.load_file_path.tx_bits_path);
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Symbols = load(options.load_file_path.tx_symbols_path);
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@@ -56,53 +70,53 @@ elseif options.mode == "load_files"
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Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in", Scpe_sig_raw.fs, "fs_out", 2*fsym);
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[~, Scpe_cell, ~, found_sync] = Scpe_sig_resampled.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
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else
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else
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% Run quick Simulation
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tx_simulation;
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end
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end
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% Handle Settings and argument replacement
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% Handle Settings and argument replacement
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len_tr = 4096*2;
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len_tr = 4096*2;
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ffe_order = [50, 5, 5];
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dfe_order = [0, 0, 0];
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pf_ncoeffs = 1;
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mu_ffe = [0.0001, 0.0008, 0.001];
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mu_dfe = 0.0004;
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mu_dc = 0.005;
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dc_buffer_len = 1;
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ffe_order = [50, 5, 5];
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dfe_order = [0, 0, 0];
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pf_ncoeffs = 1;
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mu_ffe = [0.0001, 0.0008, 0.001];
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mu_dfe = 0.0004;
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mu_dc = 0.005;
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dc_buffer_len = 1;
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mu_tr = 0;
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mu_dd = 0.05;
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adaption= 1;
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use_dd_mode = 1;
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mu_tr = 0;
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mu_dd = 0.05;
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adaption= 1;
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use_dd_mode = 1;
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use_ffe = 1;
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use_dfe = 1;
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use_vnle_mlse = 1;
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use_dbtgt = 1;
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use_dbenc = 1;
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use_ffe = 1;
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use_dfe = 1;
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use_vnle_mlse = 1;
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use_dbtgt = 1;
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use_dbenc = 1;
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addProcessingResultToDatabase = 0;
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addProcessingResultToDatabase = 0;
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% Overwrite default parameters if given in options.parameters
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paramStruct = options.parameters;
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if ~isempty(paramStruct)
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% Overwrite default parameters if given in options.parameters
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paramStruct = options.parameters;
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if ~isempty(paramStruct)
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paramNames = fieldnames(paramStruct);
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for i = 1:numel(paramNames)
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thisName = paramNames{i};
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thisValue = paramStruct.(thisName);
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eval([thisName ' = thisValue;']);
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end
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end
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end
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% Configure equalizers
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% Configure equalizers
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options.max_occurences = min(options.max_occurences,length(Scpe_cell));
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for r = 1:options.max_occurences
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options.max_occurences = min(options.max_occurences,length(Scpe_cell));
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for r = 1:options.max_occurences
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%FFE
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% eq_dfe = FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption",adaption_method(adaption),"dd_mode",use_dd_mode);
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@@ -248,6 +262,11 @@ for r = 1:options.max_occurences
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end
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end
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catch ME
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save('workerError.mat','ME');
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rethrow(ME);
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end
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@@ -1,217 +1,234 @@
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function [results,wh] = submitJobs(run_ids, dsp_options, submit_mode, submit_options)
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% SUBMITJOBS Submits dsp_runid jobs for processing
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function [results, wh] = submitJobs(run_ids, dsp_options, submit_mode, submit_options)
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% SUBMITJOBS Submits dsp_runid jobs for processing (parallel or serial)
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%
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% Inputs:
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% run_ids - Single run ID or array of Run IDs for processing
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% dsp_options - Options for dsp_runid function
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% submit_mode - Execution mode: 'parallel' or 'linear'
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% options - Optional parameters
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% [results, wh] = submitJobs(run_ids, dsp_options, submit_mode, submit_options)
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%
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% Outputs:
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% results - Cell array of results from each job
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% wh - Updated DataStorage object
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% USAGE:
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% % === SETTINGS ===
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% run_ids : scalar or vector of run IDs
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% dsp_options : struct of dsp_runid name/value options
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% submit_mode : processingMode.parallel or .serial
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% submit_options : struct with fields
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% .waitbar (logical)
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% .wh (DataStorage object)
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%
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% dsp_options.append_to_db = 1;
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% dsp_options.max_occurences = 15;
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% dsp_options.database_path = 'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\';
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% dsp_options.database_name = 'silas_labor_newdsp_newstructure.db';
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% dsp_options.storage_path = 'Z:\2024\sioe_labor\';
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% dsp_options.parameters = struct();
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% dsp_options.parameters.mu_dc = [0.005];
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%
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% % === Get Run ID's ===
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% db = DBHandler("pathToDB", [dsp_options.database_path, dsp_options.database_name], "type", "sqlite");
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% fp = QueryFilter();
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% % fp.where('Runs', 'run_id','EQUALS', 5108);
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% fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'fiber_length','EQUALS', 1);
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% fp.where('Runs', 'wavelength','EQUALS', 1310);
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% fp.where('Runs', 'db_mode','EQUALS', 0);
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% fp.where('Runs', 'rop_attenuation','EQUALS', 0);
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% fp.where('Runs', 'pam_level','EQUALS', 4);
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% fp.where('Runs', 'bitrate','EQUALS', 360e9);
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% fp.where('Runs', 'power_pd_in','GREATER_THAN', 7);
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% [dataTable,~] = db.queryDB(fp, db.getTableFieldNames('Runs'));
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% % === Initialize DataStorage ===
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% wh = DataStorage(dsp_options.parameters);
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% wh.addStorage("ffe_package");
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% wh.addStorage("mlse_package");
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% wh.addStorage("vnle_package");
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% wh.addStorage("dbtgt_package");
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% wh.addStorage("dbenc_package");
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%
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% % === RUN IT ===
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% [results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "parallel", 'wh', wh, 'waitbar', true);
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% wh.getStoValue('ffe_package',0.005);
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% wh.getStoValue('mlse_package',0.005);
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% results : cell(nJobsPerRunId, nRunIds)
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% wh : updated DataStorage
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arguments
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run_ids int32 = 0
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dsp_options struct = struct();
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dsp_options struct = struct()
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submit_mode processingMode = processingMode.serial
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submit_options.waitbar (1,1) logical = true
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submit_options.wh = DataStorage(struct()); % Optional DataStorage object
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submit_options.wh = DataStorage(struct())
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end
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% Ensure run_ids is a row vector
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% Normalize
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run_ids = run_ids(:)';
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nRunIds = numel(run_ids);
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nJobsPerRunId = submit_options.wh.getLastLinIndice();
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totalJobs = nRunIds * nJobsPerRunId;
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% Get number of jobs per run_id
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nJobsPerRunId = submit_options.wh.getLastLinIndice;
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nRunIds = length(run_ids);
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totalJobs = nJobsPerRunId * nRunIds;
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% Initialize results array for all jobs
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% Preallocate
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results = cell(nJobsPerRunId, nRunIds);
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futures = cell(totalJobs, 1);
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futures = parallel.FevalFuture.empty(totalJobs,0);
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jobIndices = zeros(totalJobs,2);
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% Initialize waitbar if requested
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% Optional waitbar
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if submit_options.waitbar
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h = waitbar(0, 'Processing Jobs...');
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cleanupObj = onCleanup(@() delete(h));
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end
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% Process jobs based on mode
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if submit_mode == processingMode.parallel
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setupParallelPool();
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switch submit_mode
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case processingMode.parallel
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%—– SET UP POOL & QUEUE —–
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p = setupParallelPool(11, 300); % 10 workers, 300s idle timeout
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% Submit jobs to parallel pool
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% === submit all futures ===
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jobCounter = 0;
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for r = 1:nRunIds
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for k = 1:nJobsPerRunId
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jobCounter = jobCounter + 1;
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optionalVars = buildOptionalVars(k, submit_options.wh);
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jobIndices(jobCounter,:) = [r,k];
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% Submit job with proper arguments
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futures{jobCounter} = parfeval(@dsp_runid, 1, run_ids(r), ...
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"database_type", dsp_options.database_type,...
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opt = buildOptionalVars(k, submit_options.wh);
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futures(jobCounter) = parfeval( ...
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p, @dsp_runid, 1, ...
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run_ids(r), ...
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"database_type", dsp_options.database_type, ...
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"dataBase", dsp_options.dataBase, ...
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"append_to_db", dsp_options.append_to_db, ...
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"load_file_path", dsp_options.load_file_path, ...
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"max_occurences", dsp_options.max_occurences, ...
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"storage_path", dsp_options.storage_path, ...
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"mode", dsp_options.mode,...
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"parameters", optionalVars);
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"mode", dsp_options.mode, ...
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"parameters", opt ...
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);
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fprintf('[RunID %d, Job %d] Submitted to pool.\n', run_ids(r), k);
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end
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end
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%—– W A I T B A R U P D A T E —–
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if submit_options.waitbar
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setupParallelWaitbar(futures, totalJobs, h);
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futureArray = futures;
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updateWB = @() waitbar( ...
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sum(arrayfun(@(f) strcmp(f.State,'finished'), futureArray))/totalJobs, ...
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h, sprintf('Completed %d/%d jobs', ...
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sum(arrayfun(@(f) strcmp(f.State,'finished'), futureArray)), totalJobs) ...
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);
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afterEach(futureArray, updateWB, 0);
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end
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% Fetch results
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jobCounter = 0;
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for r = 1:nRunIds
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for k = 1:nJobsPerRunId
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jobCounter = jobCounter + 1;
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% —– before the loop —–
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% Keep track of which futures we've already handled:
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consumedIdx = false(totalJobs,1);
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% —– fetch in completion order, handling successes and errors —–
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for n = 1:totalJobs
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try
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results{k,r} = fetchOutputs(futures{jobCounter});
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fprintf('[RunID %d, Job %d] Completed successfully.\n', run_ids(r), k);
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storeResult(results{k,r}, k, submit_options.wh);
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catch ME
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handleError(ME, k, run_ids(r));
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results{k,r} = ME;
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% This returns the value AND the linear index in 'futures'
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[idx, val] = fetchNext(futures);
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duration = futures(idx).RunningDuration;
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startDT = futures(idx).StartDateTime;
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finishDT = futures(idx).FinishDateTime;
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duration = finishDT - startDT;
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% Mark it consumed
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consumedIdx(idx) = true;
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% Map back to (r,k) and store
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r = jobIndices(idx,1);
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k = jobIndices(idx,2);
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fprintf('[%s] JobID %d/%d (%.1f%%) — %s — RunID %d — Subjob %d — fetched.\n', ...
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datestr(now,'yyyy-mm-dd HH:MM:SS'), ...
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r, totalJobs, 100*n/totalJobs,char(duration), ...
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run_ids(r), k);
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% Update waitbar
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if submit_options.waitbar
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waitbar(n/totalJobs, h, ...
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sprintf('Fetched %d/%d (%.1f% Percent)', n, totalJobs, 100*n/totalJobs));
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drawnow; % force the GUI to refresh
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end
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storeResult(val, k, submit_options.wh);
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results{k,r} = val;
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catch fetchErr
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% fetchNext has already set Read=true on the errored future.
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% Find the one Read==true that we have _not_ yet consumed.
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readMask = arrayfun(@(f) f.Read, futures);
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idxErr = find(readMask & ~consumedIdx, 1);
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consumedIdx(idxErr) = true;
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% Pull the _real_ exception out of the future object
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errInfo = futures(idxErr).Error;
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if iscell(errInfo)
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origME = errInfo{1};
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else
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origME = errInfo;
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end
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% Map back to (r,k) and log
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r = jobIndices(idxErr,1);
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k = jobIndices(idxErr,2);
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handleError(origME, k, run_ids(r));
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results{k,r} = origME;
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end
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end
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elseif submit_mode == processingMode.serial
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% Process jobs sequentially
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case processingMode.serial
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%—– SERIAL EXECUTION —–
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jobCounter = 0;
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for r = 1:nRunIds
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for k = 1:nJobsPerRunId
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jobCounter = jobCounter + 1;
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optionalVars = buildOptionalVars(k, submit_options.wh);
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try
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fprintf('[RunID %d, Job %d] Running in linear mode...\n', run_ids(r), k);
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results{k,r} = dsp_runid(run_ids(r),...
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"database_type", dsp_options.database_type,...
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"dataBase", dsp_options.dataBase,...
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"append_to_db", dsp_options.append_to_db,...
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"load_file_path", dsp_options.load_file_path,...
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"max_occurences", dsp_options.max_occurences,...
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"storage_path", dsp_options.storage_path,...
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"mode", dsp_options.mode,...
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"parameters", optionalVars);
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val = dsp_runid( run_ids(r), ...
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"database_type", dsp_options.database_type, ...
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"dataBase", dsp_options.dataBase, ...
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"append_to_db", dsp_options.append_to_db, ...
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"load_file_path", dsp_options.load_file_path, ...
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"max_occurences", dsp_options.max_occurences, ...
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"storage_path", dsp_options.storage_path, ...
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"mode", dsp_options.mode, ...
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"parameters", optionalVars );
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fprintf('[RunID %d, Job %d] Completed successfully.\n', run_ids(r), k);
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storeResult(results{k,r}, k, submit_options.wh);
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storeResult(val, k, submit_options.wh);
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results{k,r} = val;
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catch ME
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handleError(ME, k, run_ids(r));
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results{k,r} = ME;
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end
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% Update waitbar if requested
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if submit_options.waitbar
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waitbar(jobCounter/totalJobs, h, sprintf('Completed %d/%d jobs', jobCounter, totalJobs));
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waitbar(jobCounter/totalJobs, h, ...
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sprintf('Completed %d/%d jobs', jobCounter, totalJobs));
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end
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end
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end
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else
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error('')
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otherwise
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error('Unknown submit_mode "%s".', string(submit_mode))
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end
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wh = submit_options.wh;
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% Helper functions remain the same except for handleError
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% Modified handleError function to include run_id
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%% Local helpers %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function handleError(ME, jobIndex, run_id)
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fprintf('[RunID %d, Job %d] ERROR [%s]: %s\n', run_id, jobIndex, ME.identifier, ME.message);
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fprintf('[RunID %d, Job %d] ERROR [%s]: %s\n', run_id, jobIndex, ...
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ME.identifier, ME.message);
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for st = ME.stack'
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fprintf(' %s:%d (%s)\n', st.file, st.line, st.name);
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end
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fprintf('Full report:\n%s\n', getReport(ME,'extended'));
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end
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% Other helper functions remain unchanged
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function setupParallelPool()
|
||||
curpool = gcp('nocreate');
|
||||
if isempty(curpool)
|
||||
parpool(10,"IdleTimeout",300);
|
||||
else
|
||||
if ~isempty(curpool.FevalQueue.QueuedFutures) || ~isempty(curpool.FevalQueue.RunningFutures)
|
||||
oldq = length(curpool.FevalQueue.QueuedFutures) + length(curpool.FevalQueue.RunningFutures);
|
||||
curpool.FevalQueue.cancelAll;
|
||||
fprintf('Canceled %d unfetched jobs from old queue.\n', oldq);
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
function optionalVars = buildOptionalVars(jobIndex, wh)
|
||||
optionalVars = struct();
|
||||
if ~isempty(wh.getDimension)
|
||||
[parametervalues, parameternames] = wh.getPhysIndicesByLinIndex(jobIndex);
|
||||
for pidx = 1:numel(parameternames)
|
||||
optionalVars.(parameternames{pidx}) = parametervalues{pidx};
|
||||
if ~isempty(wh.getDimension())
|
||||
[vals, names] = wh.getPhysIndicesByLinIndex(jobIndex);
|
||||
for pi = 1:numel(names)
|
||||
optionalVars.(names{pi}) = vals{pi};
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
function setupParallelWaitbar(futures, totalJobs, h)
|
||||
updateWaitbar = @(~) waitbar(sum(cellfun(@(f) strcmp(f.State, 'finished'), futures))/totalJobs, h, ...
|
||||
sprintf('Completed %d/%d jobs', sum(cellfun(@(f) strcmp(f.State, 'finished'), futures)), totalJobs));
|
||||
|
||||
futureArray = [futures{:}];
|
||||
afterEach(futureArray, updateWaitbar, 0);
|
||||
end
|
||||
|
||||
function storeResult(result, jobIndex, wh)
|
||||
function storeResult(val, jobIndex, wh)
|
||||
if ~isempty(wh)
|
||||
wh.addValueToStorageByLinIdx(result.ffe_package, 'ffe_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(result.mlse_package, 'mlse_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(result.vnle_package, 'vnle_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(result.dbtgt_package, 'dbtgt_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(result.dbenc_package, 'dbenc_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(val.ffe_package, 'ffe_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(val.mlse_package, 'mlse_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(val.vnle_package, 'vnle_package', jobIndex);
|
||||
wh.addValueToStorageByLinIdx(val.dbtgt_package,'dbtgt_package',jobIndex);
|
||||
wh.addValueToStorageByLinIdx(val.dbenc_package,'dbenc_package',jobIndex);
|
||||
end
|
||||
end
|
||||
function p = setupParallelPool(numWorkers, idleTimeout)
|
||||
% Ensure a pool exists at the right size & timeout
|
||||
p = gcp('nocreate');
|
||||
if isempty(p) || p.NumWorkers~=numWorkers
|
||||
if ~isempty(p)
|
||||
delete(p);
|
||||
end
|
||||
p = parpool('local', numWorkers, 'IdleTimeout', idleTimeout);
|
||||
end
|
||||
|
||||
% Cancel anything left in the pool's default queue
|
||||
q = p.FevalQueue;
|
||||
if ~isempty(q.QueuedFutures) || ~isempty(q.RunningFutures)
|
||||
cancelAll(q);
|
||||
fprintf('Canceled %d unfetched jobs from old queue.\n', ...
|
||||
numel(q.QueuedFutures)+numel(q.RunningFutures));
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
end
|
||||
@@ -1,6 +1,6 @@
|
||||
% === SETTINGS ===
|
||||
dsp_options.append_to_db = 1;
|
||||
dsp_options.max_occurences = 1;
|
||||
dsp_options.max_occurences = 15;
|
||||
|
||||
experiment = "highspeed_2024";
|
||||
dsp_options.mode = "load_run_id"; % 'simulate' & 'load_files'
|
||||
@@ -40,14 +40,14 @@ end
|
||||
|
||||
fp = QueryFilter();
|
||||
% fp.where('Runs', 'run_id','EQUALS', 987);
|
||||
% fp.where('Runs', 'pam_level','EQUALS', 4);
|
||||
fp.where('Runs', 'bitrate','LESS_THAN', 310e9);
|
||||
fp.where('Runs', 'fiber_length','EQUALS', 1);
|
||||
fp.where('Runs', 'pam_level','EQUALS', 4);
|
||||
% fp.where('Runs', 'bitrate','LESS_THAN', 310e9);
|
||||
% fp.where('Runs', 'fiber_length','EQUALS', 1);
|
||||
fp.where('Runs', 'is_mpi','EQUALS', 0);
|
||||
% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
|
||||
% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
|
||||
% fp.where('Runs', 'sir','EQUALS',18);
|
||||
fp.where('Runs', 'wavelength','EQUALS', 1310);
|
||||
% fp.where('Runs', 'wavelength','EQUALS', 1310);
|
||||
% fp.where('Runs', 'db_mode','EQUALS', 1);
|
||||
fp.where('Runs', 'rop_attenuation','EQUALS', 0);
|
||||
% fp.where('Runs', 'power_pd_in','GREATER_THAN', 7);
|
||||
@@ -75,7 +75,7 @@ wh.addStorage("dbenc_package");
|
||||
|
||||
% === RUN IT ===
|
||||
|
||||
[results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "serial", 'wh', wh, 'waitbar', true);
|
||||
[results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "parallel", 'wh', wh, 'waitbar', true);
|
||||
|
||||
|
||||
% wh.getStoValue('ffe_package',0.005);
|
||||
|
||||
Reference in New Issue
Block a user