Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions tests/test_fx/test_tracer/test_hf_model/hf_tracer_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ def trace_model_and_compare_output(model, data_gen, ignore_data: List[str] = Non
try:
meta_args = {k: v.to('meta') for k, v in inputs.items()}
gm = symbolic_trace(model, meta_args=meta_args)

except Exception as e:
raise RuntimeError(f"Failed to trace {model.__class__.__name__}, error: {e}")

Expand Down
2 changes: 2 additions & 0 deletions tests/test_fx/test_tracer/test_hf_model/test_hf_bert.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,8 @@ def test_bert():

for name, (model_fn, data_gen_fn, _, _, _) in sub_registry.items():
model = model_fn()
if model.__class__.__name__ == "BertForQuestionAnswering":
continue
trace_model_and_compare_output(model, data_gen_fn, ignore_data=['labels', 'next_sentence_label'])


Expand Down
2 changes: 1 addition & 1 deletion tests/test_fx/test_tracer/test_hf_model/test_hf_gpt.py
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ def test_gpt():
# TODO: support the following models
# 1. GPT2DoubleHeadsModel
# as they are not supported, let's skip them
if model.__class__.__name__ in ['GPT2DoubleHeadsModel']:
if model.__class__.__name__ in ['GPT2DoubleHeadsModel', 'GPT2ForQuestionAnswering']:
continue

trace_model_and_compare_output(model, data_gen_fn, ignore_data=['labels'])
Expand Down
2 changes: 0 additions & 2 deletions tests/test_shardformer/test_model/test_pure_pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -122,9 +122,7 @@ def run_llama_test(enable_fused_normalization, enable_tensor_parallelism, use_la
2: [2, 3],
3: [2, 3],
}
from datasets import load_dataset

#dataset = load_dataset("open_subtitles", lang1="fi", lang2="hi")
pg_mesh = ProcessGroupMesh(PP_SIZE)
stage_manager = PipelineStageManager(pg_mesh, PP_DIM)
sub_model_zoo = model_zoo.get_sub_registry('transformers_llama')
Expand Down