code: def run_gpu_workflow(quarter=1, year=2000, perf_file="", **kwargs):
      import time
  
      load_start_time = time.time()
  
      names = gpu_load_names()
      acq_gdf = gpu_load_acquisition_csv(
          acquisition_path=acq_data_path
          + "/Acquisition_"
          + str(year)
          + "Q"
          + str(quarter)
          + ".txt"
      )
  
      gdf = gpu_load_performance_csv(perf_file)
  
      load_end_time = time.time()
  
      etl_start_time = time.time()
  
      acq_gdf_results = merge_names(acq_gdf, names)
  
      everdf_results = create_ever_features(gdf)
  
      delinq_merge_results = create_delinq_features(gdf)
  
      new_everdf_results = join_ever_delinq_features(
          everdf_results.columns, delinq_merge_results.columns
      )
  
      joined_df_results = create_joined_df(
          gdf.columns, new_everdf_results.columns
      )
      del new_everdf_results
  
      testdf_results = create_12_mon_features_union(
          joined_df_results.columns
      )
  
      testdf = testdf_results.columns
      new_joined_df_results = combine_joined_12_mon(
          joined_df_results.columns, testdf
      )
      del testdf
      del joined_df_results
      perf_df_results = final_performance_delinquency(
          gdf.columns, new_joined_df_results.columns
      )
      del gdf
      del new_joined_df_results
  
      final_gdf_results = join_perf_acq_gdfs(
          perf_df_results.columns, acq_gdf_results.columns
      )
      del perf_df_results
      del acq_gdf_results
  
      final_gdf = last_mile_cleaning(final_gdf_results.columns)
  
      etl_end_time = time.time()
  
      return [
          final_gdf,
          (load_end_time - load_start_time),
          (etl_end_time - etl_start_time),
      ]
  
imports: import time
  from collections import OrderedDict
  import numpy
  import pandas
  import pyblazing
  from pyblazing import DriverType, FileSystemType, SchemaFrom, get_dtype_values
  from sklearn.model_selection import train_test_split
  import xgboost
  from Configuration import Settings
  from DemoTest.chronometer import Chronometer
  from Utils import Execution
label_desc: Use image node_id 7 for calling a global function with example usage: run_gpu_workflow(quarter, year, perf_file) and returns: list