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【AutoParalle】construct model using float32 in "amp-o2" #8033

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Mar 1, 2024
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【AutoParalle】construct model using float32 in "amp-o2" #8033

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16 changes: 8 additions & 8 deletions llm/llama/auto_parallel/run_pretrain_auto.py
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Original file line number Diff line number Diff line change
Expand Up @@ -542,16 +542,16 @@ def main():

print("Final pre-training config:", config)

# Set the dtype for loading model
dtype = "float32"
if training_args.fp16_opt_level == "O2":
if training_args.fp16:
dtype = "float16"
if training_args.bf16:
dtype = "bfloat16"
# # Set the dtype for loading model
# dtype = "float32"
# if training_args.fp16_opt_level == "O2":
# if training_args.fp16:
# dtype = "float16"
# if training_args.bf16:
# dtype = "bfloat16"

with paddle.LazyGuard():
model = model_class.from_config(config, dtype=dtype)
model = model_class.from_config(config, dtype="float32")
criterion = criterion_class(config)

for param in model.parameters():
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