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#
# 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
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# Unless required by applicable law or agreed to in writing, software
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"""Base options for task APIs."""
import dataclasses
from typing import Any, Optional
from tensorflow_lite_support.python.task.core.optional_dependencies import doc_controls
from tensorflow_lite_support.python.task.core.proto import base_options_pb2
_BaseOptionsProto = base_options_pb2.BaseOptions
@dataclasses.dataclass
class BaseOptions:
"""Base options for TensorFlow Lite Task Library's Python APIs.
Represents external files used by the Task APIs (e.g. TF Lite FlatBuffer or
plain-text labels file). The files can be specified by one of the following
two ways:
(1) file contents loaded in `file_content`.
(2) file path in `file_name`.
If more than one field of these fields is provided, they are used in this
precedence order.
Attributes:
file_name: Path to the index.
file_content: The index file contents as bytes.
num_threads: Number of thread, the default value is -1 which means
Interpreter will decide what is the most appropriate `num_threads`.
use_coral: If true, inference will be delegated to a connected Coral Edge
TPU device.
"""
file_name: Optional[str] = None
file_content: Optional[bytes] = None
num_threads: Optional[int] = -1
use_coral: Optional[bool] = None
@doc_controls.do_not_generate_docs
def to_pb2(self) -> _BaseOptionsProto:
"""Generates a protobuf object to pass to the C++ layer."""
return _BaseOptionsProto(
file_name=self.file_name,
file_content=self.file_content,
num_threads=self.num_threads,
use_coral=self.use_coral)
@classmethod
@doc_controls.do_not_generate_docs
def create_from_pb2(cls, pb2_obj: _BaseOptionsProto) -> "BaseOptions":
"""Creates a `BaseOptions` object from the given protobuf object."""
return BaseOptions(
file_name=pb2_obj.file_name,
file_content=pb2_obj.file_content,
num_threads=pb2_obj.num_threads,
use_coral=pb2_obj.use_coral)
def __eq__(self, other: Any) -> bool:
"""Checks if this object is equal to the given object.
Args:
other: The object to be compared with.
Returns:
True if the objects are equal.
"""
if not isinstance(other, BaseOptions):
return False
return self.to_pb2().__eq__(other.to_pb2())