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* add openvino export CLI * fix * add test * format
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# Copyright 2023 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. | ||
"""Defines the command line for the export with OpenVINO.""" | ||
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import sys | ||
from pathlib import Path | ||
from typing import TYPE_CHECKING, Optional | ||
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from ...exporters import TasksManager | ||
from ..base import BaseOptimumCLICommand, CommandInfo | ||
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if TYPE_CHECKING: | ||
from argparse import ArgumentParser, Namespace, _SubParsersAction | ||
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def parse_args_openvino(parser: "ArgumentParser"): | ||
required_group = parser.add_argument_group("Required arguments") | ||
required_group.add_argument( | ||
"-m", "--model", type=str, required=True, help="Model ID on huggingface.co or path on disk to load model from." | ||
) | ||
required_group.add_argument( | ||
"output", type=Path, help="Path indicating the directory where to store the generated OV model." | ||
) | ||
optional_group = parser.add_argument_group("Optional arguments") | ||
optional_group.add_argument( | ||
"--task", | ||
default="auto", | ||
help=( | ||
"The task to export the model for. If not specified, the task will be auto-inferred based on the model. Available tasks depend on the model, but are among:" | ||
f" {str(TasksManager.get_all_tasks())}. For decoder models, use `xxx-with-past` to export the model using past key values in the decoder." | ||
), | ||
) | ||
optional_group.add_argument("--cache_dir", type=str, default=None, help="Path indicating where to store cache.") | ||
optional_group.add_argument( | ||
"--framework", | ||
type=str, | ||
choices=["pt", "tf"], | ||
default=None, | ||
help=( | ||
"The framework to use for the export. If not provided, will attempt to use the local checkpoint's original framework or what is available in the environment." | ||
), | ||
) | ||
optional_group.add_argument( | ||
"--trust-remote-code", | ||
action="store_true", | ||
help=( | ||
"Allows to use custom code for the modeling hosted in the model repository. This option should only be set for repositories you trust and in which " | ||
"you have read the code, as it will execute on your local machine arbitrary code present in the model repository." | ||
), | ||
) | ||
optional_group.add_argument( | ||
"--pad-token-id", | ||
type=int, | ||
default=None, | ||
help=( | ||
"This is needed by some models, for some tasks. If not provided, will attempt to use the tokenizer to guess it." | ||
), | ||
) | ||
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class OVExportCommand(BaseOptimumCLICommand): | ||
COMMAND = CommandInfo(name="openvino", help="Export PyTorch models to OpenVINO IR.") | ||
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def __init__( | ||
self, | ||
subparsers: "_SubParsersAction", | ||
args: Optional["Namespace"] = None, | ||
command: Optional["CommandInfo"] = None, | ||
from_defaults_factory: bool = False, | ||
parser: Optional["ArgumentParser"] = None, | ||
): | ||
super().__init__( | ||
subparsers, args=args, command=command, from_defaults_factory=from_defaults_factory, parser=parser | ||
) | ||
self.args_string = " ".join(sys.argv[3:]) | ||
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@staticmethod | ||
def parse_args(parser: "ArgumentParser"): | ||
return parse_args_openvino(parser) | ||
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def run(self): | ||
from ...exporters.openvino.__main__ import main_export | ||
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# TODO : add input shapes | ||
main_export( | ||
model_name_or_path=self.args.model, | ||
output=self.args.output, | ||
task=self.args.task, | ||
framework=self.args.framework, | ||
cache_dir=self.args.cache_dir, | ||
trust_remote_code=self.args.trust_remote_code, | ||
pad_token_id=self.args.pad_token_id, | ||
# **input_shapes, | ||
) |
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# Copyright 2023 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. | ||
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from ..export import ExportCommand | ||
from ..export.openvino import OVExportCommand | ||
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REGISTER_COMMANDS = [(OVExportCommand, ExportCommand)] |
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# Copyright 2023 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 subprocess | ||
import unittest | ||
from tempfile import TemporaryDirectory | ||
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from parameterized import parameterized | ||
from utils_tests import MODEL_NAMES | ||
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from optimum.exporters.openvino.__main__ import main_export | ||
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class OVCLIExportTestCase(unittest.TestCase): | ||
""" | ||
Integration tests ensuring supported models are correctly exported. | ||
""" | ||
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SUPPORTED_ARCHITECTURES = ( | ||
["causal-lm", "gpt2"], | ||
["causal-lm-with-past", "gpt2"], | ||
["seq2seq-lm", "t5"], | ||
["seq2seq-lm-with-past", "t5"], | ||
["sequence-classification", "bert"], | ||
["question-answering", "distilbert"], | ||
["masked-lm", "bert"], | ||
["default", "blenderbot"], | ||
["default-with-past", "blenderbot"], | ||
["stable-diffusion", "stable-diffusion"], | ||
["stable-diffusion-xl", "stable-diffusion-xl"], | ||
["stable-diffusion-xl", "stable-diffusion-xl-refiner"], | ||
) | ||
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def _openvino_export(self, model_name: str, task: str): | ||
with TemporaryDirectory() as tmpdir: | ||
main_export(model_name_or_path=model_name, output=tmpdir, task=task) | ||
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@parameterized.expand(SUPPORTED_ARCHITECTURES) | ||
def test_export(self, task: str, model_type: str): | ||
self._openvino_export(MODEL_NAMES[model_type], task) | ||
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@parameterized.expand(SUPPORTED_ARCHITECTURES) | ||
def test_exporters_cli(self, task: str, model_type: str): | ||
with TemporaryDirectory() as tmpdirname: | ||
subprocess.run( | ||
f"optimum-cli export openvino --model {MODEL_NAMES[model_type]} --task {task} {tmpdirname}", | ||
shell=True, | ||
check=True, | ||
) |