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[shardformer] rewrite tests for opt/bloom/llama/vit/chatglm #4395

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Merged
ver217 merged 6 commits into from
Aug 11, 2023
Merged

[shardformer] rewrite tests for opt/bloom/llama/vit/chatglm #4395

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0be0d30
rewrite opt tests
Aug 9, 2023
3d00c63
rewrite llama tests
Aug 9, 2023
ff1df66
rewrite bloom & vit tests
Aug 10, 2023
525ae68
rewrite chatglm tests
Aug 11, 2023
56cdc2f
fix LinearCol for classfiers
Aug 11, 2023
367b86b
add judge for other tp layers, fix lazy init in util
Aug 11, 2023
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16 changes: 16 additions & 0 deletions colossalai/shardformer/layer/linear.py
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Original file line number Diff line number Diff line change
Expand Up @@ -143,6 +143,14 @@ def from_native_module(module: nn.Linear, process_group: Union[ProcessGroup, Lis
f'Expected only one process group, got {len(process_group)}.'
process_group = process_group[0]

tp_size = dist.get_world_size(process_group)
if out_features < tp_size:
return module

if out_features % tp_size != 0:
raise ValueError(
f"The size of out_features:{out_features} is not integer multiples of tensor parallel size: {tp_size}!")

linear_1d = Linear1D_Col(in_features=in_features,
out_features=out_features,
bias=bias,
Expand Down Expand Up @@ -293,6 +301,14 @@ def from_native_module(module: nn.Linear, process_group: Union[ProcessGroup, Lis
f'Expected only one process group, got {len(process_group)}.'
process_group = process_group[0]

tp_size = dist.get_world_size(process_group)
if in_features < tp_size:
return module

if in_features % tp_size != 0:
raise ValueError(
f"The size of in_features:{in_features} is not integer multiples of tensor parallel size: {tp_size}!")

linear_1d = Linear1D_Row(in_features=in_features,
out_features=out_features,
bias=bias,
Expand Down
16 changes: 16 additions & 0 deletions colossalai/shardformer/layer/qkv_fused_linear.py
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Original file line number Diff line number Diff line change
Expand Up @@ -265,6 +265,14 @@ def from_native_module(module: nn.Module, process_group: Union[ProcessGroup, Lis
f'Expected only one process group, got {len(process_group)}.'
process_group = process_group[0]

tp_size = dist.get_world_size(process_group)
if out_features < tp_size:
return module

if out_features % tp_size != 0:
raise ValueError(
f"The size of out_features:{out_features} is not integer multiples of tensor parallel size: {tp_size}!")

linear_1d = GPT2FusedLinearConv1D_Col(in_features=in_features,
out_features=out_features,
bias=bias,
Expand Down Expand Up @@ -420,6 +428,14 @@ def from_native_module(module: nn.Linear, process_group: Union[ProcessGroup, Lis
f'Expected only one process group, got {len(process_group)}.'
process_group = process_group[0]

tp_size = dist.get_world_size(process_group)
if in_features < tp_size:
return module

if in_features % tp_size != 0:
raise ValueError(
f"The size of in_features:{in_features} is not integer multiples of tensor parallel size: {tp_size}!")

linear_1d = GPT2FusedLinearConv1D_Row(in_features=in_features,
out_features=out_features,
bias=bias,
Expand Down
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