fix importing torchtext batch

.github/workflows/docs-checks.yml

@@ -41,15 +41,15 @@ jobs:
 
       - name: Install dependencies
         run: |
+          python --version
+          pip --version
           # remove Horovod from requirements
           python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if not line.startswith('horovod')] ; open(fname, 'w').writelines(lines)"
           # python -m pip install --upgrade --user pip
           pip install --requirement requirements.txt --upgrade-strategy only-if-needed --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet
           pip install --requirement requirements/extra.txt
           pip install --requirement requirements/loggers.txt
           pip install --requirement requirements/docs.txt
-          python --version
-          pip --version
           pip list
         shell: bash
 
@@ -84,12 +84,12 @@ jobs:
 
       - name: Install dependencies
         run: |
-          pip install --requirement requirements.txt --upgrade-strategy only-if-needed --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet
+          python --version
+          pip --version
+          # pip install --requirement requirements.txt --upgrade-strategy only-if-needed --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet
           pip install --requirement requirements/docs.txt
           # install Texlive, see https://linuxconfig.org/how-to-install-latex-on-ubuntu-20-04-focal-fossa-linux
           sudo apt-get update && sudo apt-get install -y texlive-latex-extra dvipng texlive-pictures
-          python --version
-          pip --version
           pip list
         shell: bash
 

pytorch_lightning/utilities/apply_func.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
+import operator
 from abc import ABC
 from collections.abc import Mapping, Sequence
 from copy import copy
@@ -22,10 +22,10 @@
 import torch
 
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
-from pytorch_lightning.utilities.imports import _module_available, _TORCHTEXT_AVAILABLE
+from pytorch_lightning.utilities.imports import _compare_version, _TORCHTEXT_AVAILABLE
 
 if _TORCHTEXT_AVAILABLE:
-    if _module_available("torchtext.legacy.data"):
+    if _compare_version("torchtext", operator.ge, "0.9.0"):
         from torchtext.legacy.data import Batch
     else:
         from torchtext.data import Batch

tests/helpers/imports.py

@@ -0,0 +1,8 @@
+import operator
+
+from pytorch_lightning.utilities.imports import _compare_version
+
+if _compare_version("torchtext", operator.ge, "0.9.0"):
+    from torchtext.legacy.data import Batch, Dataset, Example, Field, Iterator, LabelField  # noqa: F401
+else:
+    from torchtext.data import Batch, Dataset, Example, Field, Iterator, LabelField  # noqa: F401

tests/models/test_gpu.py

@@ -16,7 +16,6 @@
 
 import pytest
 import torch
-from torchtext.data import Batch, Dataset, Example, Field, LabelField
 
 import tests.helpers.pipelines as tpipes
 import tests.helpers.utils as tutils
@@ -25,6 +24,7 @@
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.helpers import BoringModel
 from tests.helpers.datamodules import ClassifDataModule
+from tests.helpers.imports import Batch, Dataset, Example, Field, LabelField
 from tests.helpers.runif import RunIf
 from tests.helpers.simple_models import ClassificationModel
 

tests/utilities/test_apply_func_torchtext.py

@@ -13,15 +13,14 @@
 # limitations under the License.
 import pytest
 import torch
-import torchtext
-from torchtext.data.example import Example
 
 from pytorch_lightning.utilities.apply_func import move_data_to_device
+from tests.helpers.imports import Dataset, Example, Field, Iterator
 from tests.helpers.runif import RunIf
 
 
 def _get_torchtext_data_iterator(include_lengths=False):
-    text_field = torchtext.data.Field(
+    text_field = Field(
         sequential=True,
         pad_first=False,  # nosec
         init_token="<s>",
@@ -33,13 +32,13 @@ def _get_torchtext_data_iterator(include_lengths=False):
     example2 = Example.fromdict({"text": "b c a a"}, {"text": ("text", text_field)})
     example3 = Example.fromdict({"text": "c b a"}, {"text": ("text", text_field)})
 
-    dataset = torchtext.data.Dataset(
+    dataset = Dataset(
         [example1, example2, example3],
         {"text": text_field},
     )
     text_field.build_vocab(dataset)
 
-    iterator = torchtext.data.Iterator(
+    iterator = Iterator(
         dataset,
         batch_size=3,
         sort_key=None,