Commit b7f1b050 authored by Neel Kant's avatar Neel Kant
Browse files

Lint whole repo

parent c99fa80c

megatron/arguments.py

+0 −3
Original line number Diff line number Diff line
@@ -357,7 +357,6 @@ def _add_gpt2_args(parser): 
    return parser







def add_data_args_(parser):

    """Train/valid/test data arguments."""
@@ -367,6 +366,4 @@ def add_data_args_(parser): 
                       choices=['raw', 'lazy', 'tfrecords', 'numpy', 'binary'],

                       help='Which data loader to use. Default varies by model.')





    return parser

megatron/checkpointing.py

+3 −3
Original line number Diff line number Diff line
@@ -67,7 +67,7 @@ def get_checkpoint_name(checkpoints_path, iteration, 
        directory = 'iter_{:07d}'.format(iteration)

    return os.path.join(checkpoints_path, directory,

                        'mp_rank_{:02d}'.format(

                            mpu.get_model_parallel_rank() if mp_rank is None \

                            mpu.get_model_parallel_rank() if mp_rank is None

                            else mp_rank),

                        'model_optim_rng.pt')
@@ -179,7 +179,7 @@ def load_checkpoint(model, optimizer, lr_scheduler): 
            'megatron.fp16.loss_scaler']

        state_dict = torch.load(checkpoint_name, map_location='cpu')

        sys.modules.pop('fp16.loss_scaler', None)

    except:

    except BaseException:

        print_rank_0('could not load the checkpoint')

        sys.exit()

megatron/data/__init__.py

+0 −2
Original line number Diff line number Diff line 
from . import indexed_dataset

megatron/data/bert_dataset.py

+4 −6
Original line number Diff line number Diff line
@@ -47,6 +47,7 @@ def build_train_valid_test_datasets(data_prefix, data_impl, splits_string, 


    # Print stats about the splits.

    print_rank_0(' > dataset split:')



    def print_split_stats(name, index):

        print_rank_0('    {}:'.format(name))

        print_rank_0('     document indices in [{}, {}) total of {} '
@@ -113,7 +114,6 @@ class BertDataset(Dataset): 
        # Dataset.

        self.indexed_dataset = indexed_dataset





        # Build the samples mapping.

        self.samples_mapping = get_samples_mapping_(self.indexed_dataset,

                                                    data_prefix,
@@ -133,11 +133,9 @@ class BertDataset(Dataset): 
        self.mask_id = tokenizer.mask

        self.pad_id = tokenizer.pad





    def __len__(self):

        return self.samples_mapping.shape[0]





    def __getitem__(self, idx):



        start_index, end_index, seq_length = self.samples_mapping[idx]

megatron/data/gpt2_dataset.py

+8 −10
Original line number Diff line number Diff line
@@ -42,6 +42,7 @@ def build_train_valid_test_datasets(data_prefix, data_impl, splits_string, 


    # Print stats about the splits.

    print_rank_0(' > dataset split:')



    def print_split_stats(name, index):

        print_rank_0('    {}:'.format(name))

        print_rank_0('     document indices in [{}, {}) total of {} '
@@ -102,13 +103,11 @@ class GPT2Dataset(torch.utils.data.Dataset): 
            self.name, data_prefix, documents, self.indexed_dataset.sizes,

            num_samples, seq_length, seed)





    def __len__(self):

        # -1 is due to data structure used to retieve the index:

        #    sample i --> [sample_idx[i], sample_idx[i+1])

        return self.sample_idx.shape[0] - 1





    def __getitem__(self, idx):

        # Get the shuffled index.

        idx = self.shuffle_idx[idx]
@@ -138,7 +137,6 @@ class GPT2Dataset(torch.utils.data.Dataset): 
        return {'text': np.array(sample, dtype=np.int64)}







def _build_index_mappings(name, data_prefix, documents, sizes,

                          num_samples, seq_length, seed):

    """Build doc-idx, sample-idx, and shuffle-idx.