Rename data.transforms -> data.encoders

Summary: Pull Request resolved: fairinternal/fairseq-py#747

Differential Revision: D16403464

Pulled By: myleott

fbshipit-source-id: ee3b4184f129a02be833c7bdc00685978b4de883

Author: Myle Ott

fairseq/data/transforms/__init__.py fairseq/data/encoders/__init__.pyfairseq/data/transforms/__init__.py renamed to fairseq/data/encoders/__init__.py

@@ -24,8 +24,8 @@
 )
 
 
-# automatically import any Python files in the transforms/ directory
+# automatically import any Python files in the encoders/ directory
 for file in os.listdir(os.path.dirname(__file__)):
     if file.endswith('.py') and not file.startswith('_'):
         module = file[:file.find('.py')]
-        importlib.import_module('fairseq.data.transforms.' + module)
+        importlib.import_module('fairseq.data.encoders.' + module)

fairseq/data/transforms/gpt2_bpe.py fairseq/data/encoders/gpt2_bpe.pyfairseq/data/transforms/gpt2_bpe.py renamed to fairseq/data/encoders/gpt2_bpe.py

@@ -6,7 +6,7 @@
 # can be found in the PATENTS file in the same directory.
 
 from fairseq import file_utils
-from fairseq.data.transforms import register_bpe
+from fairseq.data.encoders import register_bpe
 
 
 @register_bpe('gpt2')

…irseq/data/transforms/moses_tokenizer.py fairseq/data/encoders/moses_tokenizer.pyfairseq/data/transforms/moses_tokenizer.py renamed to fairseq/data/encoders/moses_tokenizer.py fairseq/data/transforms/moses_tokenizer.py renamed to fairseq/data/encoders/moses_tokenizer.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree. An additional grant of patent rights
 # can be found in the PATENTS file in the same directory.
 
-from fairseq.data.transforms import register_tokenizer
+from fairseq.data.encoders import register_tokenizer
 
 
 @register_tokenizer('moses')

fairseq/data/transforms/nltk_tokenizer.py fairseq/data/encoders/nltk_tokenizer.pyfairseq/data/transforms/nltk_tokenizer.py renamed to fairseq/data/encoders/nltk_tokenizer.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree. An additional grant of patent rights
 # can be found in the PATENTS file in the same directory.
 
-from fairseq.data.transforms import register_tokenizer
+from fairseq.data.encoders import register_tokenizer
 
 
 @register_tokenizer('nltk')

…seq/data/transforms/sentencepiece_bpe.py …irseq/data/encoders/sentencepiece_bpe.pyfairseq/data/transforms/sentencepiece_bpe.py renamed to fairseq/data/encoders/sentencepiece_bpe.py fairseq/data/transforms/sentencepiece_bpe.py renamed to fairseq/data/encoders/sentencepiece_bpe.py

@@ -6,7 +6,7 @@
 # can be found in the PATENTS file in the same directory.
 
 from fairseq import file_utils
-from fairseq.data.transforms import register_bpe
+from fairseq.data.encoders import register_bpe
 
 
 @register_bpe('sentencepiece')

…irseq/data/transforms/space_tokenizer.py fairseq/data/encoders/space_tokenizer.pyfairseq/data/transforms/space_tokenizer.py renamed to fairseq/data/encoders/space_tokenizer.py fairseq/data/transforms/space_tokenizer.py renamed to fairseq/data/encoders/space_tokenizer.py

@@ -7,7 +7,7 @@
 
 import re
 
-from fairseq.data.transforms import register_tokenizer
+from fairseq.data.encoders import register_tokenizer
 
 
 @register_tokenizer('space')

…irseq/data/transforms/subword_nmt_bpe.py fairseq/data/encoders/subword_nmt_bpe.pyfairseq/data/transforms/subword_nmt_bpe.py renamed to fairseq/data/encoders/subword_nmt_bpe.py fairseq/data/transforms/subword_nmt_bpe.py renamed to fairseq/data/encoders/subword_nmt_bpe.py

@@ -6,7 +6,7 @@
 # can be found in the PATENTS file in the same directory.
 
 from fairseq import file_utils
-from fairseq.data.transforms import register_bpe
+from fairseq.data.encoders import register_bpe
 
 
 @register_bpe('subword_nmt')

fairseq/hub_utils.py

@@ -9,7 +9,7 @@
 import torch
 
 from fairseq import utils
-from fairseq.data import transforms
+from fairseq.data import encoders
 
 
 class Generator(object):
@@ -44,8 +44,8 @@ def __init__(self, args, task, models):
         # (None if no unknown word replacement, empty if no path to align dictionary)
         self.align_dict = utils.load_align_dict(getattr(args, 'replace_unk', None))
 
-        self.tokenizer = transforms.build_tokenizer(args)
-        self.bpe = transforms.build_bpe(args)
+        self.tokenizer = encoders.build_tokenizer(args)
+        self.bpe = encoders.build_bpe(args)
 
     def generate(self, src_str, verbose=False):
 

interactive.py

@@ -15,7 +15,7 @@
 import torch
 
 from fairseq import checkpoint_utils, options, tasks, utils
-from fairseq.data import transforms
+from fairseq.data import encoders
 
 
 Batch = namedtuple('Batch', 'ids src_tokens src_lengths')
@@ -103,8 +103,8 @@ def main(args):
     generator = task.build_generator(args)
 
     # Handle tokenization and BPE
-    tokenizer = transforms.build_tokenizer(args)
-    bpe = transforms.build_bpe(args)
+    tokenizer = encoders.build_tokenizer(args)
+    bpe = encoders.build_bpe(args)
 
     def encode_fn(x):
         if tokenizer is not None: