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adapters.py
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adapters.py
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# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. 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 typing import List, Optional
from omegaconf import DictConfig
from nemo.collections.asr.parts.utils import adapter_utils
from nemo.collections.tts.modules.aligner import AlignmentEncoder
from nemo.collections.tts.modules.fastpitch import TemporalPredictor
from nemo.collections.tts.modules.transformer import FFTransformerDecoder, FFTransformerEncoder
from nemo.core.classes import adapter_mixins
class FFTransformerDecoderAdapter(FFTransformerDecoder, adapter_mixins.AdapterModuleMixin):
""" Inherit from FFTransformerDecoder and add support for adapter"""
def add_adapter(self, name: str, cfg: dict):
cfg = self._update_adapter_cfg_input_dim(cfg)
for fft_layer in self.layers: # type: adapter_mixins.AdapterModuleMixin
fft_layer.add_adapter(name, cfg)
def is_adapter_available(self) -> bool:
return any([FFT_layer.is_adapter_available() for FFT_layer in self.layers])
def set_enabled_adapters(self, name: Optional[str] = None, enabled: bool = True):
for FFT_layer in self.layers: # type: adapter_mixins.AdapterModuleMixin
FFT_layer.set_enabled_adapters(name=name, enabled=enabled)
def get_enabled_adapters(self) -> List[str]:
names = set([])
for FFT_layer in self.layers: # type: adapter_mixins.AdapterModuleMixin
names.update(FFT_layer.get_enabled_adapters())
names = sorted(list(names))
return names
def _update_adapter_cfg_input_dim(self, cfg: DictConfig):
cfg = adapter_utils.update_adapter_cfg_input_dim(self, cfg, module_dim=self.d_model)
return cfg
class FFTransformerEncoderAdapter(
FFTransformerDecoderAdapter, FFTransformerEncoder, adapter_mixins.AdapterModuleMixin
):
""" Inherit from FFTransformerEncoder and add support for adapter"""
pass
class AlignmentEncoderAdapter(AlignmentEncoder, adapter_mixins.AdapterModuleMixin):
""" Inherit from AlignmentEncoder and add support for adapter"""
def add_adapter(self, name: str, cfg: dict):
for i, conv_layer in enumerate(self.key_proj):
if i % 2 == 0:
cfg = self._update_adapter_cfg_input_dim(cfg, conv_layer.conv.out_channels)
conv_layer.add_adapter(name, cfg)
for i, conv_layer in enumerate(self.query_proj):
if i % 2 == 0:
cfg = self._update_adapter_cfg_input_dim(cfg, conv_layer.conv.out_channels)
conv_layer.add_adapter(name, cfg)
def is_adapter_available(self) -> bool:
return any(
[conv_layer.is_adapter_available() for i, conv_layer in enumerate(self.key_proj) if i % 2 == 0]
+ [conv_layer.is_adapter_available() for i, conv_layer in enumerate(self.query_proj) if i % 2 == 0]
)
def set_enabled_adapters(self, name: Optional[str] = None, enabled: bool = True):
for i, conv_layer in enumerate(self.key_proj):
if i % 2 == 0:
conv_layer.set_enabled_adapters(name=name, enabled=enabled)
for i, conv_layer in enumerate(self.query_proj):
if i % 2 == 0:
conv_layer.set_enabled_adapters(name=name, enabled=enabled)
def get_enabled_adapters(self) -> List[str]:
names = set([])
for i, conv_layer in enumerate(self.key_proj):
if i % 2 == 0:
names.update(conv_layer.get_enabled_adapters())
for i, conv_layer in enumerate(self.query_proj):
if i % 2 == 0:
names.update(conv_layer.get_enabled_adapters())
names = sorted(list(names))
return names
def _update_adapter_cfg_input_dim(self, cfg: DictConfig, module_dim: int):
cfg = adapter_utils.update_adapter_cfg_input_dim(self, cfg, module_dim=module_dim)
return cfg
class TemporalPredictorAdapter(TemporalPredictor, adapter_mixins.AdapterModuleMixin):
""" Inherit from TemporalPredictor and add support for adapter"""
def add_adapter(self, name: str, cfg: dict):
cfg = self._update_adapter_cfg_input_dim(cfg)
for conv_layer in self.layers: # type: adapter_mixins.AdapterModuleMixin
conv_layer.add_adapter(name, cfg)
def is_adapter_available(self) -> bool:
return any([conv_layer.is_adapter_available() for conv_layer in self.layers])
def set_enabled_adapters(self, name: Optional[str] = None, enabled: bool = True):
for conv_layer in self.layers: # type: adapter_mixins.AdapterModuleMixin
conv_layer.set_enabled_adapters(name=name, enabled=enabled)
def get_enabled_adapters(self) -> List[str]:
names = set([])
for conv_layer in self.layers: # type: adapter_mixins.AdapterModuleMixin
names.update(conv_layer.get_enabled_adapters())
names = sorted(list(names))
return names
def _update_adapter_cfg_input_dim(self, cfg: DictConfig):
cfg = adapter_utils.update_adapter_cfg_input_dim(self, cfg, module_dim=self.filter_size)
return cfg
"""Register any additional information"""
if adapter_mixins.get_registered_adapter(FFTransformerEncoder) is None:
adapter_mixins.register_adapter(base_class=FFTransformerEncoder, adapter_class=FFTransformerEncoderAdapter)
if adapter_mixins.get_registered_adapter(FFTransformerDecoder) is None:
adapter_mixins.register_adapter(base_class=FFTransformerDecoder, adapter_class=FFTransformerDecoderAdapter)
if adapter_mixins.get_registered_adapter(AlignmentEncoder) is None:
adapter_mixins.register_adapter(base_class=AlignmentEncoder, adapter_class=AlignmentEncoderAdapter)
if adapter_mixins.get_registered_adapter(TemporalPredictor) is None:
adapter_mixins.register_adapter(base_class=TemporalPredictor, adapter_class=TemporalPredictorAdapter)