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Test plan:

Every single one of these calls will raise the warning:

python -c "from torchtext import datasets"
python -c "import torchtext.datasets"
python -c "from torchtext.datasets import AG_NEWS"

python -c "from torchtext import data"
python -c "import torchtext.data"
python -c "from torchtext.data import custom_replace"

python -c "from torchtext import models"
python -c "import torchtext.models"
python -c "from torchtext.models import ROBERTA_BASE_ENCODER"

python -c "from torchtext import nn"
python -c "import torchtext.nn"
python -c "from torchtext.nn import InProjContainer"

python -c "from torchtext import utils"
python -c "import torchtext.utils"
python -c "from torchtext.utils import LOCK_TIMEOUT"

python -c "from torchtext import vocab"
python -c "import torchtext.vocab"
python -c "from torchtext.vocab import Vocab"

python -c "from torchtext import transforms"
python -c "import torchtext.transforms"
python -c "from torchtext.transforms import SentencePieceTokenizer"

python -c "from torchtext import functional"
python -c "import torchtext.functional"
python -c "from torchtext.functional import to_tensor"

python -c "from torchtext import prototype"
python -c "import torchtext.prototype"
python -c "from torchtext.prototype import transforms"

python -c "from torchtext import experimental"
python -c "import torchtext.experimental"
python -c "from torchtext.experimental import transforms"

While none of these calls will raise the warning:





python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import datasets"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.datasets"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.datasets import AG_NEWS"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import data"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.data"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.data import custom_replace"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import models"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.models"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.models import ROBERTA_BASE_ENCODER"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import nn"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.nn"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.nn import InProjContainer"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import utils"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.utils"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.utils import LOCK_TIMEOUT"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import vocab"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.vocab"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.vocab import Vocab"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import transforms"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.transforms"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.transforms import SentencePieceTokenizer"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import functional"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.functional"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.functional import to_tensor"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import prototype"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.prototype"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.prototype import transforms"

python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext import experimental"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); import torchtext.experimental"
python -c "import torchtext; torchtext.disable_torchtext_deprecation_warning(); from torchtext.experimental import transforms"

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pytorch-bot bot commented Mar 26, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/text/2248

Note: Links to docs will display an error until the docs builds have been completed.

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

❌ 10 New Failures, 5 Unrelated Failures

As of commit d7b799a with merge base ecb9ebc (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@NicolasHug NicolasHug merged commit 4bf6b30 into pytorch:main Apr 2, 2024
@NicolasHug NicolasHug deleted the aelfjnalfjenlajenf branch April 2, 2024 11:57
atalman pushed a commit to atalman/text that referenced this pull request Apr 11, 2024
atalman added a commit that referenced this pull request Apr 11, 2024
…lease (#2248) (#2257)

* Add removeable warnings indicating this is the last release (#2248)

* make pytorch dep a lower bound (#2256)

* Fix CNNDM dataset tests (#2246)

---------

Co-authored-by: Nicolas Hug <[email protected]>
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3 participants