deepspeedai / deepspeedai/DeepSpeed
[REQUEST] How to use `Flops Profiler` to test `model.generate()`
@CaffreyR is already working on this.
Since Nov 18, 2022.
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Description
Is your feature request related to a problem? Please describe.
Nowadays, the Flops Profiler can test forward for transformers such as bert, but for t5, it actually uses model.generate() during inference. So how to use Flops Profiler to test model.generate() ?
Now I use this code
tokenizer = transformers.T5Tokenizer.from_pretrained('t5-base', return_dict=False)model = transformers.T5ForConditionalGeneration.from_pretrained('t5-base')
flops, macs, params = get_model_profile(
model,
kwargs=t5_input_constructor(batch_size, seq_len, tokenizer),
print_profile=True,
detailed=True,
warm_up=10,
module_depth=-1,
top_modules=1,
)
Describe the solution you'd like
A clear and concise description of what you want to happen.
To test model.generate() time cost
Describe alternatives you've considered
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Additional context
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