optimum/intel/utils/dummy_openvino_objects.py

# 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.

from .import_utils import DummyObject, requires_backends


class OVModelForAudioClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelOpenCLIPForZeroShotImageClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelOpenCLIPVisual(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelOpenCLIPText(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForZeroShotImageClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForAudioXVector(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForCTC(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForCausalLM(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForFeatureExtraction(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForImageClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForMaskedLM(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForPix2Struct(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForQuestionAnswering(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForSeq2SeqLM(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForSpeechSeq2Seq(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForVision2Seq(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForSequenceClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForTokenClassification(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForVisualCausalLM(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVSamModel(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVConfig(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])


class OVModelForTextToSpeechSeq2Seq(metaclass=DummyObject):
    _backends = ["openvino"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["openvino"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["openvino"])