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[misc] update pre-commit and run all files (#4752)

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* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format
This commit is contained in:
Hongxin Liu
2023-09-19 14:20:26 +08:00
committed by GitHub
parent 3c6b831c26
commit 079bf3cb26
1268 changed files with 50037 additions and 38444 deletions
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43
colossalai/auto_parallel/meta_profiler/meta_registry/tensor.py
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@@ -2,7 +2,6 @@ from typing import Callable, List, Tuple
import torch
from colossalai._analyzer._subclasses.flop_tensor import flop_mapping
from colossalai._analyzer.fx.node_util import compute_size_in_bytes
from colossalai.auto_parallel.tensor_shard.sharding_strategy import MemoryCost, OperationDataType, TrainCycleItem
@@ -37,15 +36,19 @@ def tensor_related_metainfo(bwd_mem_out_factor: float = 1, bwd_mem_tmp_factor: f
# NOTE: currently in SPMD solver we always believe that there will be a new tensor created in forward
fwd_mem_cost = MemoryCost(activation=compute_size_in_bytes(outputs) * 2, parameter=0, temp=0, buffer=0)
bwd_mem_cost = MemoryCost(activation=compute_size_in_bytes(outputs) * bwd_mem_out_factor,
parameter=0,
temp=compute_size_in_bytes(outputs) * bwd_mem_tmp_factor,
buffer=0)
bwd_mem_cost = MemoryCost(
activation=compute_size_in_bytes(outputs) * bwd_mem_out_factor,
parameter=0,
temp=compute_size_in_bytes(outputs) * bwd_mem_tmp_factor,
buffer=0,
)
total_mem_cost = MemoryCost(activation=fwd_mem_cost.activation + bwd_mem_cost.activation,
parameter=fwd_mem_cost.parameter + bwd_mem_cost.parameter,
temp=fwd_mem_cost.temp + bwd_mem_cost.temp,
buffer=fwd_mem_cost.buffer + bwd_mem_cost.buffer)
total_mem_cost = MemoryCost(
activation=fwd_mem_cost.activation + bwd_mem_cost.activation,
parameter=fwd_mem_cost.parameter + bwd_mem_cost.parameter,
temp=fwd_mem_cost.temp + bwd_mem_cost.temp,
buffer=fwd_mem_cost.buffer + bwd_mem_cost.buffer,
)
memory_cost = TrainCycleItem(fwd=fwd_mem_cost, bwd=bwd_mem_cost, total=total_mem_cost)
@@ -66,14 +69,24 @@ def tensor_related_metainfo(bwd_mem_out_factor: float = 1, bwd_mem_tmp_factor: f
# register torch.Tensor related metainfo
# (0, 0)
meta_register.register([torch.tensor, torch.Tensor.to, torch.Tensor.unsqueeze, torch.unsqueeze,
torch.arange])(tensor_related_metainfo(0, 0))
meta_register.register([torch.tensor, torch.Tensor.to, torch.Tensor.unsqueeze, torch.unsqueeze, torch.arange])(
tensor_related_metainfo(0, 0)
)
# (1, 0)
meta_register.register([
torch.Tensor.flatten, torch.flatten, torch.Tensor.transpose, torch.transpose, torch.Tensor.permute, torch.permute,
torch.Tensor.split, torch.split, torch.Tensor.view
])(tensor_related_metainfo(1, 0))
meta_register.register(
[
torch.Tensor.flatten,
torch.flatten,
torch.Tensor.transpose,
torch.transpose,
torch.Tensor.permute,
torch.permute,
torch.Tensor.split,
torch.split,
torch.Tensor.view,
]
)(tensor_related_metainfo(1, 0))
# (1, 1)
meta_register.register([torch.Tensor.type, torch.Tensor.contiguous])(tensor_related_metainfo(1, 1))