From d10d2bc3429ea85ff5f1e1107fae47bee94033b2 Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Wed, 1 Jul 2020 15:11:47 -0700
Subject: [PATCH 1/7] retire warning

---
 torchtext/data/batch.py    | 2 ++
 torchtext/data/example.py  | 6 ++++++
 torchtext/data/field.py    | 7 ++++++-
 torchtext/data/iterator.py | 3 ++-
 4 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/torchtext/data/batch.py b/torchtext/data/batch.py
index af29f175d4..11b0dd7030 100644
--- a/torchtext/data/batch.py
+++ b/torchtext/data/batch.py
@@ -1,4 +1,5 @@
 import torch
+import warnings
 
 
 class Batch(object):
@@ -19,6 +20,7 @@ class Batch(object):
 
     def __init__(self, data=None, dataset=None, device=None):
         """Create a Batch from a list of examples."""
+        warnings.warn('Batch class will retire in 0.8.0 release', RuntimeWarning)
         if data is not None:
             self.batch_size = len(data)
             self.dataset = dataset
diff --git a/torchtext/data/example.py b/torchtext/data/example.py
index d9f96aeda3..0de3191d53 100644
--- a/torchtext/data/example.py
+++ b/torchtext/data/example.py
@@ -1,5 +1,6 @@
 import json
 from functools import reduce
+import warnings
 
 
 class Example(object):
@@ -9,6 +10,7 @@ class Example(object):
     """
     @classmethod
     def fromJSON(cls, data, fields):
+        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
         ex = cls()
         obj = json.loads(data)
 
@@ -47,6 +49,7 @@ def reducer(obj, key):
 
     @classmethod
     def fromdict(cls, data, fields):
+        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
         ex = cls()
         for key, vals in fields.items():
             if key not in data:
@@ -62,6 +65,7 @@ def fromdict(cls, data, fields):
 
     @classmethod
     def fromCSV(cls, data, fields, field_to_index=None):
+        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
         if field_to_index is None:
             return cls.fromlist(data, fields)
         else:
@@ -71,6 +75,7 @@ def fromCSV(cls, data, fields, field_to_index=None):
 
     @classmethod
     def fromlist(cls, data, fields):
+        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
         ex = cls()
         for (name, field), val in zip(fields, data):
             if field is not None:
@@ -86,6 +91,7 @@ def fromlist(cls, data, fields):
 
     @classmethod
     def fromtree(cls, data, fields, subtrees=False):
+        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
         try:
             from nltk.tree import Tree
         except ImportError:
diff --git a/torchtext/data/field.py b/torchtext/data/field.py
index 189331c1be..2be3a23285 100644
--- a/torchtext/data/field.py
+++ b/torchtext/data/field.py
@@ -3,7 +3,7 @@
 from itertools import chain
 import torch
 from tqdm import tqdm
-
+import warnings
 from .dataset import Dataset
 from .pipeline import Pipeline
 from .utils import get_tokenizer, dtype_to_attr, is_tokenizer_serializable
@@ -33,6 +33,7 @@ class RawField(object):
     """
 
     def __init__(self, preprocessing=None, postprocessing=None, is_target=False):
+        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
         self.preprocessing = preprocessing
         self.postprocessing = postprocessing
         self.is_target = is_target
@@ -146,6 +147,7 @@ def __init__(self, sequential=True, use_vocab=True, init_token=None,
                  batch_first=False, pad_token="<pad>", unk_token="<unk>",
                  pad_first=False, truncate_first=False, stop_words=None,
                  is_target=False):
+        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
         self.sequential = sequential
         self.use_vocab = use_vocab
         self.init_token = init_token
@@ -365,6 +367,7 @@ def numericalize(self, arr, device=None):
 
 class ReversibleField(Field):
     def __init__(self, **kwargs):
+        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
         if kwargs.get('tokenize') is list:
             self.use_revtok = False
         else:
@@ -411,6 +414,7 @@ class SubwordField(ReversibleField):
     vocab_cls = SubwordVocab
 
     def __init__(self, **kwargs):
+        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
         kwargs['tokenize'] = 'subword'
         if 'unk_token' not in kwargs:
             kwargs['unk_token'] = '�'
@@ -491,6 +495,7 @@ def __init__(self, nesting_field, use_vocab=True, init_token=None, eos_token=Non
                  postprocessing=None, tokenize=None, tokenizer_language='en',
                  include_lengths=False, pad_token='<pad>',
                  pad_first=False, truncate_first=False):
+        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
         if isinstance(nesting_field, NestedField):
             raise ValueError('nesting field must not be another NestedField')
         if nesting_field.include_lengths:
diff --git a/torchtext/data/iterator.py b/torchtext/data/iterator.py
index c76a7335ff..b463d3d0a9 100644
--- a/torchtext/data/iterator.py
+++ b/torchtext/data/iterator.py
@@ -2,7 +2,7 @@
 import random
 
 import logging
-
+import warnings
 import torch
 from .utils import RandomShuffler
 from .batch import Batch
@@ -45,6 +45,7 @@ def __init__(self, dataset, batch_size, sort_key=None, device=None,
                  batch_size_fn=None, train=True,
                  repeat=False, shuffle=None, sort=None,
                  sort_within_batch=None):
+        warnings.warn('Iterator class will retire in 0.8.0 release', RuntimeWarning)
         self.batch_size, self.train, self.dataset = batch_size, train, dataset
         self.batch_size_fn = batch_size_fn
         self.iterations = 0

From f58cec4c367d9af000641f01056141e9663626a7 Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Mon, 6 Jul 2020 16:54:12 -0700
Subject: [PATCH 2/7] update

---
 torchtext/data/batch.py    |  2 +-
 torchtext/data/example.py  | 10 +++++-----
 torchtext/data/field.py    | 10 +++++-----
 torchtext/data/iterator.py |  2 +-
 4 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/torchtext/data/batch.py b/torchtext/data/batch.py
index 11b0dd7030..14667d7958 100644
--- a/torchtext/data/batch.py
+++ b/torchtext/data/batch.py
@@ -20,7 +20,7 @@ class Batch(object):
 
     def __init__(self, data=None, dataset=None, device=None):
         """Create a Batch from a list of examples."""
-        warnings.warn('Batch class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Batch class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         if data is not None:
             self.batch_size = len(data)
             self.dataset = dataset
diff --git a/torchtext/data/example.py b/torchtext/data/example.py
index 0de3191d53..cf8f926613 100644
--- a/torchtext/data/example.py
+++ b/torchtext/data/example.py
@@ -10,7 +10,7 @@ class Example(object):
     """
     @classmethod
     def fromJSON(cls, data, fields):
-        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         ex = cls()
         obj = json.loads(data)
 
@@ -49,7 +49,7 @@ def reducer(obj, key):
 
     @classmethod
     def fromdict(cls, data, fields):
-        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         ex = cls()
         for key, vals in fields.items():
             if key not in data:
@@ -65,7 +65,7 @@ def fromdict(cls, data, fields):
 
     @classmethod
     def fromCSV(cls, data, fields, field_to_index=None):
-        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         if field_to_index is None:
             return cls.fromlist(data, fields)
         else:
@@ -75,7 +75,7 @@ def fromCSV(cls, data, fields, field_to_index=None):
 
     @classmethod
     def fromlist(cls, data, fields):
-        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         ex = cls()
         for (name, field), val in zip(fields, data):
             if field is not None:
@@ -91,7 +91,7 @@ def fromlist(cls, data, fields):
 
     @classmethod
     def fromtree(cls, data, fields, subtrees=False):
-        warnings.warn('Example class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         try:
             from nltk.tree import Tree
         except ImportError:
diff --git a/torchtext/data/field.py b/torchtext/data/field.py
index 2be3a23285..8a636a7ac5 100644
--- a/torchtext/data/field.py
+++ b/torchtext/data/field.py
@@ -33,7 +33,7 @@ class RawField(object):
     """
 
     def __init__(self, preprocessing=None, postprocessing=None, is_target=False):
-        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         self.preprocessing = preprocessing
         self.postprocessing = postprocessing
         self.is_target = is_target
@@ -147,7 +147,7 @@ def __init__(self, sequential=True, use_vocab=True, init_token=None,
                  batch_first=False, pad_token="<pad>", unk_token="<unk>",
                  pad_first=False, truncate_first=False, stop_words=None,
                  is_target=False):
-        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         self.sequential = sequential
         self.use_vocab = use_vocab
         self.init_token = init_token
@@ -367,7 +367,7 @@ def numericalize(self, arr, device=None):
 
 class ReversibleField(Field):
     def __init__(self, **kwargs):
-        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         if kwargs.get('tokenize') is list:
             self.use_revtok = False
         else:
@@ -414,7 +414,7 @@ class SubwordField(ReversibleField):
     vocab_cls = SubwordVocab
 
     def __init__(self, **kwargs):
-        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         kwargs['tokenize'] = 'subword'
         if 'unk_token' not in kwargs:
             kwargs['unk_token'] = '�'
@@ -495,7 +495,7 @@ def __init__(self, nesting_field, use_vocab=True, init_token=None, eos_token=Non
                  postprocessing=None, tokenize=None, tokenizer_language='en',
                  include_lengths=False, pad_token='<pad>',
                  pad_first=False, truncate_first=False):
-        warnings.warn('Field class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         if isinstance(nesting_field, NestedField):
             raise ValueError('nesting field must not be another NestedField')
         if nesting_field.include_lengths:
diff --git a/torchtext/data/iterator.py b/torchtext/data/iterator.py
index b463d3d0a9..4df3dc851d 100644
--- a/torchtext/data/iterator.py
+++ b/torchtext/data/iterator.py
@@ -45,7 +45,7 @@ def __init__(self, dataset, batch_size, sort_key=None, device=None,
                  batch_size_fn=None, train=True,
                  repeat=False, shuffle=None, sort=None,
                  sort_within_batch=None):
-        warnings.warn('Iterator class will retire in 0.8.0 release', RuntimeWarning)
+        warnings.warn('Iterator class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
         self.batch_size, self.train, self.dataset = batch_size, train, dataset
         self.batch_size_fn = batch_size_fn
         self.iterations = 0

From e55aea59bd1c42b68261eb325d85be025b943bbe Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Sun, 12 Jul 2020 15:26:43 -0700
Subject: [PATCH 3/7] update

---
 torchtext/data/batch.py    |  2 +-
 torchtext/data/field.py    | 10 +++++-----
 torchtext/data/iterator.py |  2 +-
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/torchtext/data/batch.py b/torchtext/data/batch.py
index 14667d7958..09e5ca6b71 100644
--- a/torchtext/data/batch.py
+++ b/torchtext/data/batch.py
@@ -20,7 +20,7 @@ class Batch(object):
 
     def __init__(self, data=None, dataset=None, device=None):
         """Create a Batch from a list of examples."""
-        warnings.warn('Batch class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         if data is not None:
             self.batch_size = len(data)
             self.dataset = dataset
diff --git a/torchtext/data/field.py b/torchtext/data/field.py
index 8a636a7ac5..95a8907980 100644
--- a/torchtext/data/field.py
+++ b/torchtext/data/field.py
@@ -33,7 +33,7 @@ class RawField(object):
     """
 
     def __init__(self, preprocessing=None, postprocessing=None, is_target=False):
-        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         self.preprocessing = preprocessing
         self.postprocessing = postprocessing
         self.is_target = is_target
@@ -147,7 +147,7 @@ def __init__(self, sequential=True, use_vocab=True, init_token=None,
                  batch_first=False, pad_token="<pad>", unk_token="<unk>",
                  pad_first=False, truncate_first=False, stop_words=None,
                  is_target=False):
-        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         self.sequential = sequential
         self.use_vocab = use_vocab
         self.init_token = init_token
@@ -367,7 +367,7 @@ def numericalize(self, arr, device=None):
 
 class ReversibleField(Field):
     def __init__(self, **kwargs):
-        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         if kwargs.get('tokenize') is list:
             self.use_revtok = False
         else:
@@ -414,7 +414,7 @@ class SubwordField(ReversibleField):
     vocab_cls = SubwordVocab
 
     def __init__(self, **kwargs):
-        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         kwargs['tokenize'] = 'subword'
         if 'unk_token' not in kwargs:
             kwargs['unk_token'] = '�'
@@ -495,7 +495,7 @@ def __init__(self, nesting_field, use_vocab=True, init_token=None, eos_token=Non
                  postprocessing=None, tokenize=None, tokenizer_language='en',
                  include_lengths=False, pad_token='<pad>',
                  pad_first=False, truncate_first=False):
-        warnings.warn('Field class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         if isinstance(nesting_field, NestedField):
             raise ValueError('nesting field must not be another NestedField')
         if nesting_field.include_lengths:
diff --git a/torchtext/data/iterator.py b/torchtext/data/iterator.py
index 4df3dc851d..1351a26d90 100644
--- a/torchtext/data/iterator.py
+++ b/torchtext/data/iterator.py
@@ -45,7 +45,7 @@ def __init__(self, dataset, batch_size, sort_key=None, device=None,
                  batch_size_fn=None, train=True,
                  repeat=False, shuffle=None, sort=None,
                  sort_within_batch=None):
-        warnings.warn('Iterator class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
         self.batch_size, self.train, self.dataset = batch_size, train, dataset
         self.batch_size_fn = batch_size_fn
         self.iterations = 0

From 408013be879f0e9dd51128c47d9b8b1c356af8ef Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Tue, 14 Jul 2020 12:29:41 -0700
Subject: [PATCH 4/7] update third_party

---
 third_party/re2           | 2 +-
 third_party/sentencepiece | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/third_party/re2 b/third_party/re2
index 2b25567a8e..fe8a81adc2 160000
--- a/third_party/re2
+++ b/third_party/re2
@@ -1 +1 @@
-Subproject commit 2b25567a8ee3b6e97c3cd05d616f296756c52759
+Subproject commit fe8a81adc2ef24b99d44fb87e882d7f2cd504b91
diff --git a/third_party/sentencepiece b/third_party/sentencepiece
index e8a84a16d1..72ccd5f13b 160000
--- a/third_party/sentencepiece
+++ b/third_party/sentencepiece
@@ -1 +1 @@
-Subproject commit e8a84a16d13e8bf92892a1cd92e4de3b0d0321fd
+Subproject commit 72ccd5f13b6e2a2de6e0dd879905a912171d1022

From 790364481cd319c417ab0c7f207e828744e1acdf Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Tue, 14 Jul 2020 12:35:10 -0700
Subject: [PATCH 5/7] update warning

---
 torchtext/data/batch.py    |  2 +-
 torchtext/data/example.py  | 10 +++++-----
 torchtext/data/field.py    | 10 +++++-----
 torchtext/data/iterator.py |  2 +-
 4 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/torchtext/data/batch.py b/torchtext/data/batch.py
index 09e5ca6b71..f345a82e19 100644
--- a/torchtext/data/batch.py
+++ b/torchtext/data/batch.py
@@ -20,7 +20,7 @@ class Batch(object):
 
     def __init__(self, data=None, dataset=None, device=None):
         """Create a Batch from a list of examples."""
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         if data is not None:
             self.batch_size = len(data)
             self.dataset = dataset
diff --git a/torchtext/data/example.py b/torchtext/data/example.py
index cf8f926613..7ccd660f95 100644
--- a/torchtext/data/example.py
+++ b/torchtext/data/example.py
@@ -10,7 +10,7 @@ class Example(object):
     """
     @classmethod
     def fromJSON(cls, data, fields):
-        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
         ex = cls()
         obj = json.loads(data)
 
@@ -49,7 +49,7 @@ def reducer(obj, key):
 
     @classmethod
     def fromdict(cls, data, fields):
-        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
         ex = cls()
         for key, vals in fields.items():
             if key not in data:
@@ -65,7 +65,7 @@ def fromdict(cls, data, fields):
 
     @classmethod
     def fromCSV(cls, data, fields, field_to_index=None):
-        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
         if field_to_index is None:
             return cls.fromlist(data, fields)
         else:
@@ -75,7 +75,7 @@ def fromCSV(cls, data, fields, field_to_index=None):
 
     @classmethod
     def fromlist(cls, data, fields):
-        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
         ex = cls()
         for (name, field), val in zip(fields, data):
             if field is not None:
@@ -91,7 +91,7 @@ def fromlist(cls, data, fields):
 
     @classmethod
     def fromtree(cls, data, fields, subtrees=False):
-        warnings.warn('Example class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
         try:
             from nltk.tree import Tree
         except ImportError:
diff --git a/torchtext/data/field.py b/torchtext/data/field.py
index 95a8907980..6054f1a510 100644
--- a/torchtext/data/field.py
+++ b/torchtext/data/field.py
@@ -33,7 +33,7 @@ class RawField(object):
     """
 
     def __init__(self, preprocessing=None, postprocessing=None, is_target=False):
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         self.preprocessing = preprocessing
         self.postprocessing = postprocessing
         self.is_target = is_target
@@ -147,7 +147,7 @@ def __init__(self, sequential=True, use_vocab=True, init_token=None,
                  batch_first=False, pad_token="<pad>", unk_token="<unk>",
                  pad_first=False, truncate_first=False, stop_words=None,
                  is_target=False):
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         self.sequential = sequential
         self.use_vocab = use_vocab
         self.init_token = init_token
@@ -367,7 +367,7 @@ def numericalize(self, arr, device=None):
 
 class ReversibleField(Field):
     def __init__(self, **kwargs):
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         if kwargs.get('tokenize') is list:
             self.use_revtok = False
         else:
@@ -414,7 +414,7 @@ class SubwordField(ReversibleField):
     vocab_cls = SubwordVocab
 
     def __init__(self, **kwargs):
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         kwargs['tokenize'] = 'subword'
         if 'unk_token' not in kwargs:
             kwargs['unk_token'] = '�'
@@ -495,7 +495,7 @@ def __init__(self, nesting_field, use_vocab=True, init_token=None, eos_token=Non
                  postprocessing=None, tokenize=None, tokenizer_language='en',
                  include_lengths=False, pad_token='<pad>',
                  pad_first=False, truncate_first=False):
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         if isinstance(nesting_field, NestedField):
             raise ValueError('nesting field must not be another NestedField')
         if nesting_field.include_lengths:
diff --git a/torchtext/data/iterator.py b/torchtext/data/iterator.py
index 1351a26d90..bc4d410464 100644
--- a/torchtext/data/iterator.py
+++ b/torchtext/data/iterator.py
@@ -45,7 +45,7 @@ def __init__(self, dataset, batch_size, sort_key=None, device=None,
                  batch_size_fn=None, train=True,
                  repeat=False, shuffle=None, sort=None,
                  sort_within_batch=None):
-        warnings.warn('{} class will retire in 0.8.0 release and stay in torchtext.legacy. See 0.7.0 release note for the replacement.'.format(self.__class__.__name__), UserWarning)
+        warnings.warn('{} class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.'.format(self.__class__.__name__), UserWarning)
         self.batch_size, self.train, self.dataset = batch_size, train, dataset
         self.batch_size_fn = batch_size_fn
         self.iterations = 0

From bf7a59d6fa41d02acfb58e950c8f86001d508485 Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Tue, 14 Jul 2020 13:22:59 -0700
Subject: [PATCH 6/7] update to release notes

---
 torchtext/data/example.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/torchtext/data/example.py b/torchtext/data/example.py
index 7ccd660f95..a5d29ef42a 100644
--- a/torchtext/data/example.py
+++ b/torchtext/data/example.py
@@ -10,7 +10,7 @@ class Example(object):
     """
     @classmethod
     def fromJSON(cls, data, fields):
-        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.', UserWarning)
         ex = cls()
         obj = json.loads(data)
 
@@ -49,7 +49,7 @@ def reducer(obj, key):
 
     @classmethod
     def fromdict(cls, data, fields):
-        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.', UserWarning)
         ex = cls()
         for key, vals in fields.items():
             if key not in data:
@@ -65,7 +65,7 @@ def fromdict(cls, data, fields):
 
     @classmethod
     def fromCSV(cls, data, fields, field_to_index=None):
-        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.', UserWarning)
         if field_to_index is None:
             return cls.fromlist(data, fields)
         else:
@@ -75,7 +75,7 @@ def fromCSV(cls, data, fields, field_to_index=None):
 
     @classmethod
     def fromlist(cls, data, fields):
-        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.', UserWarning)
         ex = cls()
         for (name, field), val in zip(fields, data):
             if field is not None:
@@ -91,7 +91,7 @@ def fromlist(cls, data, fields):
 
     @classmethod
     def fromtree(cls, data, fields, subtrees=False):
-        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release note for further information.', UserWarning)
+        warnings.warn('Example class will be retired in the 0.8.0 release and moved to torchtext.legacy. Please see 0.7.0 release notes for further information.', UserWarning)
         try:
             from nltk.tree import Tree
         except ImportError:

From 8ed61483b1d6722634543125c3b4bb076e3e3063 Mon Sep 17 00:00:00 2001
From: Guanheng Zhang <zhangguanheng@devfair0197.h2.fair>
Date: Tue, 14 Jul 2020 14:48:56 -0700
Subject: [PATCH 7/7] update submodule

---
 third_party/re2           | 2 +-
 third_party/sentencepiece | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/third_party/re2 b/third_party/re2
index fe8a81adc2..2b25567a8e 160000
--- a/third_party/re2
+++ b/third_party/re2
@@ -1 +1 @@
-Subproject commit fe8a81adc2ef24b99d44fb87e882d7f2cd504b91
+Subproject commit 2b25567a8ee3b6e97c3cd05d616f296756c52759
diff --git a/third_party/sentencepiece b/third_party/sentencepiece
index 72ccd5f13b..e8a84a16d1 160000
--- a/third_party/sentencepiece
+++ b/third_party/sentencepiece
@@ -1 +1 @@
-Subproject commit 72ccd5f13b6e2a2de6e0dd879905a912171d1022
+Subproject commit e8a84a16d13e8bf92892a1cd92e4de3b0d0321fd