mirror of https://github.com/hpcaitech/ColossalAI
[pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.cipull/5818/head^2
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@ -3,13 +3,18 @@ import warnings
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from typing import List, Optional, Tuple, Union
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from typing import List, Optional, Tuple, Union
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import torch
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import torch
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import torch.nn.functional as F
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import torch.utils.checkpoint
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import torch.utils.checkpoint
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from torch import nn
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from torch import nn
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from torch.nn import CrossEntropyLoss
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from torch.nn import CrossEntropyLoss
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from transformers.cache_utils import Cache, DynamicCache
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from transformers.cache_utils import Cache, DynamicCache
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from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
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from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
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from transformers.models.cohere.modeling_cohere import CohereForCausalLM, CohereModel, StaticCache, apply_rotary_pos_emb, repeat_kv
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from transformers.models.cohere.modeling_cohere import (
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CohereForCausalLM,
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CohereModel,
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StaticCache,
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apply_rotary_pos_emb,
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repeat_kv,
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)
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from transformers.utils import logging
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from transformers.utils import logging
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from colossalai.pipeline.stage_manager import PipelineStageManager
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from colossalai.pipeline.stage_manager import PipelineStageManager
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@ -584,6 +589,7 @@ def get_command_flash_attention_model_forward(shard_config, sp_mode=None, sp_siz
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return forward
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return forward
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def get_lm_forward_with_dist_cross_entropy(shard_config: ShardConfig):
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def get_lm_forward_with_dist_cross_entropy(shard_config: ShardConfig):
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from transformers import CohereForCausalLM
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from transformers import CohereForCausalLM
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@ -112,7 +112,6 @@ class CommandPolicy(Policy):
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target_key=CohereModel,
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target_key=CohereModel,
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)
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)
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if self.shard_config.enable_tensor_parallelism:
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if self.shard_config.enable_tensor_parallelism:
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assert (
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assert (
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self.model.config.num_attention_heads % self.shard_config.tensor_parallel_size == 0
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self.model.config.num_attention_heads % self.shard_config.tensor_parallel_size == 0
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