File size: 1,542 Bytes
7934b29 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # Copyright (c) 2022, 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 abc import ABC
from re import L
from typing import Dict, List, Optional
from nemo.core.classes import NeuralModule
from nemo.core.neural_types import ChannelType, MaskType, NeuralType
__all__ = ['MegatronEncoderModule']
class MegatronEncoderModule(NeuralModule, ABC):
""" Base class for encoder neural module to be used in NLP models. """
@property
def input_types(self) -> Optional[Dict[str, NeuralType]]:
return {
"input_ids": NeuralType(('B', 'T'), ChannelType()),
"encoder_mask": NeuralType(('B', 'T'), MaskType()),
}
@property
def input_names(self) -> List[str]:
return ['input_ids', 'encoder_mask']
@property
def output_names(self) -> List[str]:
return ['encoder_output']
@property
def output_types(self) -> Optional[Dict[str, NeuralType]]:
return {"encoder_output": NeuralType(('B', 'T', 'D'), ChannelType())}
|