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chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

85 行
2.1 KiB
Python

# Copyright (c) 2025, NVIDIA CORPORATION. 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 enum import Enum, auto
class StrEnumMixin:
@classmethod
def from_str(cls, name: str):
"""Convert a string to an Enum value (case-insensitive)."""
normalized = name.lower()
for member in cls:
if member.name.lower() == normalized or str(member.value).lower() == normalized:
return member
choices = [member.name.lower() for member in cls]
raise ValueError(f"Invalid {cls.__name__} `{name}`: must be one of {choices}")
class ASRDecodingType(StrEnumMixin, Enum):
"""
Enumeration of the ASR decoding types.
"""
CTC = auto()
RNNT = auto()
SALM = auto()
class ASROutputGranularity(StrEnumMixin, Enum):
"""
Enumeration of the ASR output granularity.
"""
WORD = auto()
SEGMENT = auto()
class PipelineType(StrEnumMixin, Enum):
"""
Enumeration of the pipeline types.
"""
BUFFERED = auto()
CACHE_AWARE = auto()
class RequestType(StrEnumMixin, Enum):
"""
Enumeration of the request types.
"""
FRAME = auto()
FEATURE_BUFFER = auto()
class FeatureBufferPaddingMode(StrEnumMixin, Enum):
"""
Enumeration of the feature buffer padding modes.
"""
LEFT = auto()
RIGHT = auto()
class MergingStrategy(StrEnumMixin, Enum):
"""
Enumeration of the tokens merging strategies for the buffered inference.
"""
LCS = auto() # Longest Common Subsequence
LCSUBSTR = auto() # Longest Common Substring