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[Fix/Inference] Remove unused and non-functional functions #5543

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merged 2 commits into from
Apr 2, 2024
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[Fix/Inference] Remove unused and non-functional functions #5543

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f02c9d2
[fix] remove unused func
yuanheng-zhao Apr 2, 2024
d45bac0
rm non-functional partial
yuanheng-zhao Apr 2, 2024
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29 changes: 8 additions & 21 deletions colossalai/inference/modeling/policy/nopadding_llama.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,3 @@
from functools import partial

from torch.nn import Parameter
from transformers.models.llama.modeling_llama import LlamaDecoderLayer, LlamaForCausalLM, LlamaModel, LlamaRMSNorm

Expand All @@ -13,8 +11,6 @@
)
from colossalai.inference.utils import init_to_get_rotary
from colossalai.shardformer.policies.base_policy import ModulePolicyDescription, SubModuleReplacementDescription

# import colossalai
from colossalai.shardformer.policies.llama import LlamaForCausalLMPolicy


Expand Down Expand Up @@ -45,27 +41,18 @@ def module_policy(self):
]
)

self.shard_config._infer()

infer_forward = llama_causal_lm_forward
method_replacement = {"forward": partial(infer_forward)}
self.append_or_create_method_replacement(
description=method_replacement, policy=policy, target_key=LlamaForCausalLM
description={"forward": llama_causal_lm_forward}, policy=policy, target_key=LlamaForCausalLM
)

infer_forward = llama_model_forward
method_replacement = {"forward": partial(infer_forward)}
self.append_or_create_method_replacement(description=method_replacement, policy=policy, target_key=LlamaModel)

infer_forward = llama_decoder_layer_forward
method_replacement = {"forward": partial(infer_forward)}
self.append_or_create_method_replacement(
description=method_replacement, policy=policy, target_key=LlamaDecoderLayer
description={"forward": llama_model_forward}, policy=policy, target_key=LlamaModel
)
self.append_or_create_method_replacement(
description={"forward": llama_decoder_layer_forward}, policy=policy, target_key=LlamaDecoderLayer
)
self.append_or_create_method_replacement(
description={"forward": llama_rmsnorm_forward}, policy=policy, target_key=LlamaRMSNorm
)

infer_forward = llama_rmsnorm_forward
method_replacement = {"forward": partial(infer_forward)}
self.append_or_create_method_replacement(description=method_replacement, policy=policy, target_key=LlamaRMSNorm)

return policy

Expand Down
8 changes: 0 additions & 8 deletions colossalai/shardformer/shard/shard_config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,8 +36,6 @@ class ShardConfig:
enable_sequence_overlap: bool = False
parallel_output = True
extra_kwargs: Dict[str, Any] = field(default_factory=dict)
# pipeline_parallel_size: int
# data_parallel_size: int
# tensor_parallel_mode: Literal['1d', '2d', '2.5d', '3d']

@property
Expand Down Expand Up @@ -70,9 +68,3 @@ def _turn_on_all_optimization(self):
self.enable_jit_fused = True
self.enable_sequence_parallelism = True
self.enable_sequence_overlap = True

def _infer(self):
"""
Set default params for inference.
"""
# assert self.pipeline_stage_manager is None, "pipeline parallelism is not supported in inference for now"
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