From 1a835969a6d76e31aed12e4abdbf0b9267b8f01c Mon Sep 17 00:00:00 2001 From: William Falcon Date: Fri, 26 Jul 2019 12:14:58 -0400 Subject: [PATCH] added saving tests to cpu --- pytorch_lightning/root_module/model_saving.py | 4 +- tests/test_models.py | 39 ++++++++++++------- 2 files changed, 27 insertions(+), 16 deletions(-) diff --git a/pytorch_lightning/root_module/model_saving.py b/pytorch_lightning/root_module/model_saving.py index 3d242ada..25377851 100644 --- a/pytorch_lightning/root_module/model_saving.py +++ b/pytorch_lightning/root_module/model_saving.py @@ -86,7 +86,7 @@ class TrainerIO(object): # -------------------- # HPC IO # -------------------- - def enable_auto_hpc_walltime_manager(self): # pragma: no cover + def enable_auto_hpc_walltime_manager(self): if self.cluster is None: return @@ -157,6 +157,8 @@ class TrainerIO(object): # do the actual save torch.save(checkpoint_dict, filepath) + return filepath + def hpc_load(self, folderpath, on_gpu): filepath = '{}/hpc_ckpt_{}.ckpt'.format(folderpath, self.max_ckpt_in_folder(folderpath)) diff --git a/tests/test_models.py b/tests/test_models.py index fd214009..455111d4 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -3,7 +3,7 @@ from pytorch_lightning import Trainer from pytorch_lightning.examples.new_project_templates.lightning_module_template import LightningTemplateModel from pytorch_lightning.testing_models.lm_test_module import LightningTestModel from argparse import Namespace -from test_tube import Experiment +from test_tube import Experiment, SlurmCluster from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping from pytorch_lightning.utils.debugging import MisconfigurationException from pytorch_lightning.root_module import memory @@ -43,7 +43,7 @@ def test_dp_output_reduce(): assert reduced['b']['c'] == out['b']['c'] -def test_cpu_slurm_managed(): +def test_cpu_slurm_saving_loading(): """ Verify model save/load/checkpoint on CPU :return: @@ -51,10 +51,6 @@ def test_cpu_slurm_managed(): hparams = get_hparams() model = LightningTestModel(hparams) - trainer_options = dict( - max_nb_epochs=1, - ) - save_dir = init_save_dir() # exp file to get meta @@ -62,20 +58,28 @@ def test_cpu_slurm_managed(): exp.argparse(hparams) exp.save() - # exp file to get weights - checkpoint = ModelCheckpoint(save_dir) - - # add these to the trainer options - trainer_options['checkpoint_callback'] = checkpoint - trainer_options['experiment'] = exp + trainer_options = dict( + max_nb_epochs=1, + cluster=SlurmCluster(), + experiment=exp, + checkpoint_callback=ModelCheckpoint(save_dir) + ) # fit model trainer = Trainer(**trainer_options) result = trainer.fit(model) + real_global_step = trainer.global_step - # correct result and ok accuracy + # traning complete assert result == 1, 'amp + ddp model failed to complete' + # test saving checkpoint + ckpt_test = os.path.join(save_dir, 'test.ckpt') + trainer.save_checkpoint(ckpt_test) + + # test registering a save function + trainer.enable_auto_hpc_walltime_manager() + # test model loading with a map_location pretrained_model = load_model(exp, save_dir, True) @@ -85,9 +89,14 @@ def test_cpu_slurm_managed(): trainer.model = pretrained_model trainer.optimizers = pretrained_model.configure_optimizers() - # test HPC loading / saving - trainer.hpc_save(save_dir, exp) + # test HPC saving + saved_filepath = trainer.hpc_save(save_dir, exp) + assert os.path.exists(saved_filepath) + + # test HPC loading + trainer.global_step = 20000000 trainer.hpc_load(save_dir, on_gpu=False) + assert trainer.global_step == real_global_step and trainer.global_step != 20000000 # test freeze on gpu model.freeze()