| # Copyright (c) 2023 Alibaba PAI and Nvidia Megatron-LM Team. | |
| # | |
| # 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. | |
| import enum | |
| class ModelType(enum.Enum): | |
| encoder_or_decoder = 1 | |
| encoder_and_decoder = 2 | |
| class LayerType(enum.Enum): | |
| encoder = 1 | |
| decoder = 2 | |
| class AttnType(enum.Enum): | |
| self_attn = 1 | |
| cross_attn = 2 | |
| class AttnMaskType(enum.Enum): | |
| padding = 1 | |
| causal = 2 # Overrides `attention_mask` to be a lower triangular matrix | |
| prefix = 3 | |
| custom = 4 # Forces one to pass an `attention_mask` that's 1 if we need to mask. Tensor that can be broadcast to [micro_batch_size, n_head, seq_length, seq_length] | |
| class PositionEmbeddingType(enum.Enum): | |
| rotary = 1 # NOTE: this one is not used so far, however for future compatibility the enum left as is | |
| absolute = 2 | |
| alibi = 3 | |