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Running
on
Zero
| # coding=utf-8 | |
| # Copyright 2024 The Dream team, HKUNLP Group and the HuggingFace Inc. team. 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. | |
| """Dream model configuration""" | |
| from transformers.configuration_utils import PretrainedConfig | |
| from transformers.modeling_rope_utils import rope_config_validation | |
| from transformers.utils import logging | |
| logger = logging.get_logger(__name__) | |
| class DreamConfig(PretrainedConfig): | |
| model_type = "Dream" | |
| keys_to_ignore_at_inference = ["past_key_values"] | |
| def __init__( | |
| self, | |
| vocab_size=151936, | |
| hidden_size=4096, | |
| intermediate_size=22016, | |
| num_hidden_layers=32, | |
| num_attention_heads=32, | |
| num_key_value_heads=32, | |
| hidden_act="silu", | |
| max_position_embeddings=32768, | |
| initializer_range=0.02, | |
| rms_norm_eps=1e-6, | |
| use_cache=False, # cache not used in diffusion | |
| tie_word_embeddings=False, | |
| rope_theta=10000.0, | |
| rope_scaling=None, | |
| use_sliding_window=False, | |
| sliding_window=4096, | |
| max_window_layers=28, | |
| attention_dropout=0.0, | |
| mask_token_id=151666, | |
| pad_token_id=151643, | |
| **kwargs, | |
| ): | |
| self.vocab_size = vocab_size | |
| self.max_position_embeddings = max_position_embeddings | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_hidden_layers = num_hidden_layers | |
| self.num_attention_heads = num_attention_heads | |
| self.use_sliding_window = use_sliding_window | |
| self.sliding_window = sliding_window if use_sliding_window else None | |
| self.max_window_layers = max_window_layers | |
| # for backward compatibility | |
| if num_key_value_heads is None: | |
| num_key_value_heads = num_attention_heads | |
| self.num_key_value_heads = num_key_value_heads | |
| self.hidden_act = hidden_act | |
| self.initializer_range = initializer_range | |
| self.rms_norm_eps = rms_norm_eps | |
| self.use_cache = use_cache | |
| self.rope_theta = rope_theta | |
| self.rope_scaling = rope_scaling | |
| self.attention_dropout = attention_dropout | |
| # Validate the correctness of rotary position embeddings parameters | |
| # BC: if there is a 'type' field, move it to 'rope_type'. | |
| if self.rope_scaling is not None and "type" in self.rope_scaling: | |
| self.rope_scaling["rope_type"] = self.rope_scaling["type"] | |
| rope_config_validation(self) | |
| super().__init__( | |
| tie_word_embeddings=tie_word_embeddings, | |
| **kwargs, | |
| ) | |
| self.mask_token_id = mask_token_id | |
| self.pad_token_id = pad_token_id | |