Loading fairseq/indexed_dataset.py +15 −4 Changes for fairseq/indexed_dataset.py: 15 added lines, 4 removed lines. Original line number Diff line number Diff line Loading @@ -40,11 +40,19 @@ def code(dtype): return k def index_file_path(prefix_path): return prefix_path + '.idx' def data_file_path(prefix_path): return prefix_path + '.bin' class IndexedDataset(object): """Loader for TorchNet IndexedDataset""" def __init__(self, path): with open(path + '.idx', 'rb') as f: with open(index_file_path(path), 'rb') as f: magic = f.read(8) assert magic == b'TNTIDX\x00\x00' version = f.read(8) Loading @@ -58,7 +66,7 @@ class IndexedDataset(object): self.read_data(path) def read_data(self, path): self.data_file = open(path + '.bin', 'rb', buffering=0) self.data_file = open(data_file_path(path), 'rb', buffering=0) def check_index(self, i): if i < 0 or i >= self.size: Loading @@ -80,14 +88,17 @@ class IndexedDataset(object): @staticmethod def exists(path): return os.path.exists(path + '.idx') return ( os.path.exists(index_file_path(path)) and os.path.exists(data_file_path(path)) ) class IndexedInMemoryDataset(IndexedDataset): """Loader for TorchNet IndexedDataset, keeps all the data in memory""" def read_data(self, path): self.data_file = open(path + '.bin', 'rb') self.data_file = open(data_file_path(path), 'rb') self.buffer = np.empty(self.data_offsets[-1], dtype=self.dtype) self.data_file.readinto(self.buffer) self.data_file.close() Loading fairseq/tokenizer.py +11 −2 Changes for fairseq/tokenizer.py: 11 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -40,7 +40,8 @@ class Tokenizer: dict.add_symbol(dict.eos_word) @staticmethod def binarize(filename, dict, consumer, tokenize=tokenize_line): def binarize(filename, dict, consumer, tokenize=tokenize_line, append_eos=True, reverse_order=False): nseq, ntok = 0, 0 replaced = Counter() Loading @@ -50,7 +51,15 @@ class Tokenizer: with open(filename, 'r') as f: for line in f: ids = Tokenizer.tokenize(line, dict, tokenize, add_if_not_exist=False, consumer=replaced_consumer) ids = Tokenizer.tokenize( line=line, dict=dict, tokenize=tokenize, add_if_not_exist=False, consumer=replaced_consumer, append_eos=append_eos, reverse_order=reverse_order, ) nseq += 1 consumer(ids) Loading Loading
fairseq/indexed_dataset.py +15 −4 Changes for fairseq/indexed_dataset.py: 15 added lines, 4 removed lines. Original line number Diff line number Diff line Loading @@ -40,11 +40,19 @@ def code(dtype): return k def index_file_path(prefix_path): return prefix_path + '.idx' def data_file_path(prefix_path): return prefix_path + '.bin' class IndexedDataset(object): """Loader for TorchNet IndexedDataset""" def __init__(self, path): with open(path + '.idx', 'rb') as f: with open(index_file_path(path), 'rb') as f: magic = f.read(8) assert magic == b'TNTIDX\x00\x00' version = f.read(8) Loading @@ -58,7 +66,7 @@ class IndexedDataset(object): self.read_data(path) def read_data(self, path): self.data_file = open(path + '.bin', 'rb', buffering=0) self.data_file = open(data_file_path(path), 'rb', buffering=0) def check_index(self, i): if i < 0 or i >= self.size: Loading @@ -80,14 +88,17 @@ class IndexedDataset(object): @staticmethod def exists(path): return os.path.exists(path + '.idx') return ( os.path.exists(index_file_path(path)) and os.path.exists(data_file_path(path)) ) class IndexedInMemoryDataset(IndexedDataset): """Loader for TorchNet IndexedDataset, keeps all the data in memory""" def read_data(self, path): self.data_file = open(path + '.bin', 'rb') self.data_file = open(data_file_path(path), 'rb') self.buffer = np.empty(self.data_offsets[-1], dtype=self.dtype) self.data_file.readinto(self.buffer) self.data_file.close() Loading
fairseq/tokenizer.py +11 −2 Changes for fairseq/tokenizer.py: 11 added lines, 2 removed lines. Original line number Diff line number Diff line Loading @@ -40,7 +40,8 @@ class Tokenizer: dict.add_symbol(dict.eos_word) @staticmethod def binarize(filename, dict, consumer, tokenize=tokenize_line): def binarize(filename, dict, consumer, tokenize=tokenize_line, append_eos=True, reverse_order=False): nseq, ntok = 0, 0 replaced = Counter() Loading @@ -50,7 +51,15 @@ class Tokenizer: with open(filename, 'r') as f: for line in f: ids = Tokenizer.tokenize(line, dict, tokenize, add_if_not_exist=False, consumer=replaced_consumer) ids = Tokenizer.tokenize( line=line, dict=dict, tokenize=tokenize, add_if_not_exist=False, consumer=replaced_consumer, append_eos=append_eos, reverse_order=reverse_order, ) nseq += 1 consumer(ids) Loading