Relicense fairseq under MIT license (#786)

Summary:
The previous BSD+PATENTS license was controversial. We have been
approved to relicense fairseq under the MIT license.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/786

Differential Revision: D16560654

Pulled By: myleott

fbshipit-source-id: f78b1beb4f2895dd7b9bfc79f5f952a2bfb94034

fairseq/trainer.py

-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 """
 Train a network across multiple GPUs.

fairseq/utils.py

-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 from collections import defaultdict
 import copy

generate.py

 #!/usr/bin/env python3 -u
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Translate pre-processed data with a trained model.
 """

hubconf.py

-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 import functools
 

interactive.py

 #!/usr/bin/env python3 -u
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Translate raw text with a trained model. Batches data on-the-fly.
 """

preprocess.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Data pre-processing: build vocabularies and binarize training data.
 """

score.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 BLEU scoring of generated translations against reference translations.
 """

scripts/average_checkpoints.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 import argparse
 import collections

scripts/build_sym_alignment.py

-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Use this script in order to build symmetric alignments for your translation
 dataset.

scripts/convert_dictionary.lua

--- Copyright (c) 2017-present, Facebook, Inc.
--- All rights reserved.
+-- Copyright (c) Facebook, Inc. and its affiliates.
 --
--- This source code is licensed under the license found in the LICENSE file in
--- the root directory of this source tree. An additional grant of patent rights
--- can be found in the PATENTS file in the same directory.
+-- This source code is licensed under the MIT license found in the
+-- LICENSE file in the root directory of this source tree.
 --
 -- Usage: convert_dictionary.lua <dict.th7>
 require 'fairseq'

scripts/convert_model.lua

--- Copyright (c) 2017-present, Facebook, Inc.
--- All rights reserved.
+-- Copyright (c) Facebook, Inc. and its affiliates.
 --
--- This source code is licensed under the license found in the LICENSE file in
--- the root directory of this source tree. An additional grant of patent rights
--- can be found in the PATENTS file in the same directory.
+-- This source code is licensed under the MIT license found in the
+-- LICENSE file in the root directory of this source tree.
 --
 -- Usage: convert_model.lua <model_epoch1.th7>
 require 'torch'

scripts/count_docs.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Count the number of documents and average number of lines and tokens per
 document in a large file. Documents should be separated by a single empty line.

scripts/read_binarized.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 import argparse
 

scripts/rm_pt.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 import argparse
 import os

scripts/shard_docs.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Split a large file into shards while respecting document boundaries. Documents
 should be separated by a single empty line.

scripts/split_train_valid_docs.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Split a large file into a train and valid set while respecting document
 boundaries. Documents should be separated by a single empty line.

scripts/wav2vec_manifest.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 """
 Data pre-processing: build vocabularies and binarize training data.
 """

setup.py

 #!/usr/bin/env python3
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 from setuptools import setup, find_packages, Extension
 import sys
@@ -37,7 +35,7 @@ setup(
     url='https://github.com/pytorch/fairseq',
     classifiers=[
         'Intended Audience :: Science/Research',
-        'License :: OSI Approved :: BSD License',
+        'License :: OSI Approved :: MIT License',
         'Programming Language :: Python :: 3.5',
         'Programming Language :: Python :: 3.6',
         'Topic :: Scientific/Engineering :: Artificial Intelligence',

tests/test_average_checkpoints.py

-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 import collections
 import os

tests/test_backtranslation_dataset.py

-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
+# Copyright (c) Facebook, Inc. and its affiliates.
 #
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
 
 import unittest