# coding=utf-8 # Copyright (c) 2019, The Microsoft DeepSpeed Team. All rights reserved. # # Note: please copy webtext data to "Megatron-LM" folder, before running this script. import unittest import subprocess import os import time import re from .test_common import BaseTestCase def grep_loss_from_file(file_name): loss = 0.0 with open(file_name, 'r') as f: lines = f.readlines() line_filter = "validation loss at the end of training for test data | LM loss:" match_number = re.compile('LM loss: ([-+]?[0-9]+\.?[0-9]*(?:[Ee][-+]?[0-9]+)?)') for line in lines: if line_filter in line: loss = re.findall(match_number, line) loss = float(loss[0]) if loss == 0.0: print("no loss found in file ", file_name) return loss class GPT2CheckpointTestCase(BaseTestCase): def __init__(self, methodName="DeepSpeed function test on GPT2 model"): super(GPT2CheckpointTestCase, self).__init__(methodName) def setUp(self): self.save_dir = os.getcwd() new_dir = os.path.dirname(__file__) if new_dir: os.chdir(new_dir) def tearDown(self): os.chdir(self.save_dir) def test_mp4_gpu16_node1_with_zero1(self): test_config = { "mp": 2, "gpus": 4, "nodes": 1, "bs": 8, "steps": 1100, "layers": 2, "hidden_size": 256, "seq_length": 256, "heads": 16, "deepspeed": True, "tag": "ds_zero1", "zero": True, "other_args": "", "checkpoint_name": "ckpt_mp4_gpu16_w_zero1", "checkpoint_interval": 1000, "json": "ds_config_func_bs8_zero1.json", } succ = self.run_test(test_config, 0.01) self.assertTrue(succ) def test_mp4_gpu16_node1_with_zero2(self): test_config = { "mp": 2, "gpus": 4, "nodes": 1, "bs": 8, "steps": 1100, "layers": 2, "hidden_size": 256, "seq_length": 256, "heads": 16, "deepspeed": True, "tag": "ds_zero2", "zero": True, "other_args": "", "checkpoint_name": "ckpt_mp4_gpu16_w_zero2", "checkpoint_interval": 1000, "json": "ds_config_func_bs8_zero2.json", } succ = self.run_test(test_config, 0.01) self.assertTrue(succ) def test_mp4_gpu16_node1_without_zero(self): test_config = { "mp": 2, "gpus": 4, "nodes": 1, "bs": 8, "steps": 1100, "layers": 2, "hidden_size": 256, "seq_length": 256, "heads": 16, "deepspeed": True, "zero": False, "other_args": "", "tag": "ds_without_zero", "checkpoint_name": "ckpt_mp4_gpu16_wo_zero", "checkpoint_interval": 1000, "json": "ds_config_func_bs8_no_zero.json", } succ = self.run_test(test_config, 0.01) self.assertTrue(succ) def gen_name(self, test_config, prefix): save_dir = "checkpoint_test_logs" tag = test_config["tag"] file_name = f"_{tag}.log" return os.path.join(save_dir, prefix + file_name) def run_test(self, test_config, r_tol): print("\n") print("{0}: starting......".format(self.id())) # save to current directory. checkpoint_folder = test_config["checkpoint_name"] checkpoint_interval = test_config["checkpoint_interval"] checkpoint_name = test_config["checkpoint_name"] #---------------remove old checkpoint---------------# try: cmd = f"rm -rf {checkpoint_name}" print(f"{self.id()} cmd: {cmd}") subprocess.run(cmd, shell=True, check=False, executable='/bin/bash') except: print("No old checkpoint") #-----------------Saving Checkpoint-----------------# #building checkpoint arguments test_config[ "other_args"] = f"\"--save {checkpoint_folder} --save-interval {checkpoint_interval}\"" prefix = "gpt2_saving_checkpoint" # create checkpoint run... base_file = self.gen_name(test_config, prefix) # remove previous test log try: cmd = f"rm {base_file}" subprocess.run(cmd, shell=True, check=False, executable='/bin/bash') except: print(f"{self.id()} No old logs") print("{0}: Run for saving checkpoint".format(self.id())) self.run_gpt2_test(test_config, base_file) #-----------------Loading Checkpoint-----------------# #building checkpoint arguments test_config["other_args"] = f"\"--load {checkpoint_folder}\"" #set checkpoint load iteration try: cmd = f"echo {checkpoint_interval} > {checkpoint_name}/latest_checkpointed_iteration.txt" print(f"{self.id()} running cmd: {cmd}") subprocess.run(cmd, shell=True, check=False, executable='/bin/bash') except: print(f"{self.id()} Failed to update the checkpoint iteration file") return False prefix = "gpt2_loading_checkpoint" print("{0}: Second run loading checkpoint and continuing.".format(self.id())) test_file = self.gen_name(test_config, prefix) # remove previous test log try: cmd = f"rm {test_file}" subprocess.run(cmd, shell=True, check=False, executable='/bin/bash') except: print(f"{self.id()} no previous logs for") self.run_gpt2_test(test_config, test_file) return self.check_parity(base_file, test_file, r_tol) def has_loss_data(self, file_name): has_loss = False if os.path.exists(file_name): loss = grep_loss_from_file(file_name) if loss != 0.0: has_loss = True return has_loss def check_parity(self, base_file, test_file, r_tol): base_loss = grep_loss_from_file(base_file) test_loss = grep_loss_from_file(test_file) print("baseline loss: {0}, test loss: {1}".format(base_loss, test_loss)) if base_loss == 0.0 or test_loss == 0.0: return False if abs((base_loss - test_loss) / base_loss) > r_tol: return False return True def checkpoint_suite(): suite = unittest.TestSuite() suite.addTest(GPT2CheckpointTestCase('test_mp4_gpu16_node1_with_zero1')) suite.addTest(GPT2CheckpointTestCase('test_mp4_gpu16_node1_with_zero2')) suite.addTest(GPT2CheckpointTestCase('test_mp4_gpu16_node1_without_zero')) return suite if __name__ == '__main__': runner = unittest.TextTestRunner(failfast=True) runner.run(checkpoint_suite())