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Configuration error
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2023 Intel Corporation
#
# 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.
#
# SPDX-License-Identifier: Apache-2.0
#
from enum import Enum, auto
class DatasetType(Enum):
TENSORFLOW_DATASETS = auto()
TORCHVISION = auto()
HUGGING_FACE = auto()
GENERIC = auto()
def __str__(self):
return self.name.lower()
@staticmethod
def from_str(dataset_str):
if dataset_str is None:
return DatasetType.GENERIC
dataset_str = dataset_str.lower()
if dataset_str in ["tfds", "tensorflow", "tensorflow_datasets", "tensorflow datasets", "tensorflow_dataset",
"tensorflow dataset"]:
return DatasetType.TENSORFLOW_DATASETS
elif dataset_str in ["torchvision"]:
return DatasetType.TORCHVISION
elif dataset_str in ["huggingface", "hugging_face", "hugging face"]:
return DatasetType.HUGGING_FACE
elif dataset_str in ["generic"]:
return DatasetType.GENERIC
else:
options = [e.name for e in DatasetType]
raise ValueError("Unsupported dataset type: {} (Select from: {})".format(
dataset_str, options))
class ModelType(Enum):
TF_HUB = auto()
TORCHVISION = auto()
PYTORCH_HUB = auto()
HUGGING_FACE = auto()
KERAS_APPLICATIONS = auto()
TF_BERT_HUGGINGFACE = auto()
GENERIC = auto()
def __str__(self):
return self.name.lower()
@staticmethod
def from_str(model_str):
if model_str is None:
return ModelType.GENERIC
model_str = model_str.lower()
if model_str in ["tfhub", "tf_hub", "tf hub", "tensorflow_hub", "tensorflow hub"]:
return ModelType.TF_HUB
elif model_str in ["torchvision"]:
return ModelType.TORCHVISION
elif model_str in ["pytorch_hub", "pyt_hub", "torch_hub", "torch hub", "pytorch hub"]:
return ModelType.PYTORCH_HUB
elif model_str in ["huggingface", "hugging_face", "hugging face"]:
return ModelType.HUGGING_FACE
elif model_str in ["keras", "keras_applications", "keras applications"]:
return ModelType.KERAS_APPLICATIONS
elif model_str in ["tf_bert_huggingface", "tf bert huggingface", "tf_bert_hugging_face",
"tf bert hugging face"]:
return ModelType.TF_BERT_HUGGINGFACE
elif model_str in ["generic"]:
return ModelType.GENERIC
else:
options = [e.name for e in ModelType]
raise ValueError("Unsupported model type: {} (Select from: {})".format(model_str, options))
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