Remove pt_to_tf (#35672)

* rm command

* remove exception

src/transformers/commands/pt_to_tf.py

@@ -1,137 +0,0 @@
-# Copyright 2022 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# 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 os
-from argparse import ArgumentParser, Namespace
-
-from ..utils import logging
-from . import BaseTransformersCLICommand
-
-
-MAX_ERROR = 5e-5  # larger error tolerance than in our internal tests, to avoid flaky user-facing errors
-
-
-def convert_command_factory(args: Namespace):
-    """
-    Factory function used to convert a model PyTorch checkpoint in a TensorFlow 2 checkpoint.
-
-    Returns: ServeCommand
-    """
-    return PTtoTFCommand(
-        args.model_name,
-        args.local_dir,
-        args.max_error,
-        args.new_weights,
-        args.no_pr,
-        args.push,
-        args.extra_commit_description,
-        args.override_model_class,
-    )
-
-
-class PTtoTFCommand(BaseTransformersCLICommand):
-    @staticmethod
-    def register_subcommand(parser: ArgumentParser):
-        """
-        Register this command to argparse so it's available for the transformer-cli
-
-        Args:
-            parser: Root parser to register command-specific arguments
-        """
-        train_parser = parser.add_parser(
-            "pt-to-tf",
-            help=(
-                "CLI tool to run convert a transformers model from a PyTorch checkpoint to a TensorFlow checkpoint."
-                " Can also be used to validate existing weights without opening PRs, with --no-pr."
-            ),
-        )
-        train_parser.add_argument(
-            "--model-name",
-            type=str,
-            required=True,
-            help="The model name, including owner/organization, as seen on the hub.",
-        )
-        train_parser.add_argument(
-            "--local-dir",
-            type=str,
-            default="",
-            help="Optional local directory of the model repository. Defaults to /tmp/{model_name}",
-        )
-        train_parser.add_argument(
-            "--max-error",
-            type=float,
-            default=MAX_ERROR,
-            help=(
-                f"Maximum error tolerance. Defaults to {MAX_ERROR}. This flag should be avoided, use at your own risk."
-            ),
-        )
-        train_parser.add_argument(
-            "--new-weights",
-            action="store_true",
-            help="Optional flag to create new TensorFlow weights, even if they already exist.",
-        )
-        train_parser.add_argument(
-            "--no-pr", action="store_true", help="Optional flag to NOT open a PR with converted weights."
-        )
-        train_parser.add_argument(
-            "--push",
-            action="store_true",
-            help="Optional flag to push the weights directly to `main` (requires permissions)",
-        )
-        train_parser.add_argument(
-            "--extra-commit-description",
-            type=str,
-            default="",
-            help="Optional additional commit description to use when opening a PR (e.g. to tag the owner).",
-        )
-        train_parser.add_argument(
-            "--override-model-class",
-            type=str,
-            default=None,
-            help="If you think you know better than the auto-detector, you can specify the model class here. "
-            "Can be either an AutoModel class or a specific model class like BertForSequenceClassification.",
-        )
-        train_parser.set_defaults(func=convert_command_factory)
-
-    def __init__(
-        self,
-        model_name: str,
-        local_dir: str,
-        max_error: float,
-        new_weights: bool,
-        no_pr: bool,
-        push: bool,
-        extra_commit_description: str,
-        override_model_class: str,
-        *args,
-    ):
-        self._logger = logging.get_logger("transformers-cli/pt_to_tf")
-        self._model_name = model_name
-        self._local_dir = local_dir if local_dir else os.path.join("/tmp", model_name)
-        self._max_error = max_error
-        self._new_weights = new_weights
-        self._no_pr = no_pr
-        self._push = push
-        self._extra_commit_description = extra_commit_description
-        self._override_model_class = override_model_class
-
-    def run(self):
-        # TODO (joao): delete file in v4.47
-        raise NotImplementedError(
-            "\n\nConverting PyTorch weights to TensorFlow weights was removed in v4.43. "
-            "Instead, we recommend that you convert PyTorch weights to Safetensors, an improved "
-            "format that can be loaded by any framework, including TensorFlow. For more information, "
-            "please see the Safetensors conversion guide: "
-            "https://huggingface.co/docs/safetensors/en/convert-weights\n\n"
-        )

src/transformers/commands/transformers_cli.py

@@ -20,7 +20,6 @@ from .convert import ConvertCommand
 from .download import DownloadCommand
 from .env import EnvironmentCommand
 from .lfs import LfsCommands
-from .pt_to_tf import PTtoTFCommand
 from .run import RunCommand
 from .serving import ServeCommand
 from .user import UserCommands
@@ -39,7 +38,6 @@ def main():
     UserCommands.register_subcommand(commands_parser)
     AddNewModelLikeCommand.register_subcommand(commands_parser)
     LfsCommands.register_subcommand(commands_parser)
-    PTtoTFCommand.register_subcommand(commands_parser)
 
     # Let's go
     args = parser.parse_args()

utils/not_doctested.txt

@@ -351,7 +351,6 @@ src/transformers/commands/convert.py
 src/transformers/commands/download.py
 src/transformers/commands/env.py
 src/transformers/commands/lfs.py
-src/transformers/commands/pt_to_tf.py
 src/transformers/commands/run.py
 src/transformers/commands/serving.py
 src/transformers/commands/train.py