forked from vllm-project/vllm
-
Notifications
You must be signed in to change notification settings - Fork 48
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
remove speculative_decoding hardcode to Cuda and add worker selector
There is one hardcode to HPUWorker, need to remove Signed-off-by: Chendi.Xue <[email protected]>
- Loading branch information
Showing
15 changed files
with
166 additions
and
45 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,66 @@ | ||
import gc | ||
import time | ||
from typing import List | ||
|
||
from vllm import LLM, SamplingParams | ||
|
||
|
||
def time_generation(llm: LLM, prompts: List[str], | ||
sampling_params: SamplingParams): | ||
# Generate texts from the prompts. The output is a list of RequestOutput | ||
# objects that contain the prompt, generated text, and other information. | ||
# Warmup first | ||
llm.generate(prompts, sampling_params) | ||
llm.generate(prompts, sampling_params) | ||
start = time.time() | ||
outputs = llm.generate(prompts, sampling_params) | ||
end = time.time() | ||
latency_per_token = (end - start) / sum([len(o.outputs[0].token_ids) for o in outputs]) | ||
# Print the outputs. | ||
ret = [] | ||
for output in outputs: | ||
generated_text = output.outputs[0].text | ||
ret.append(generated_text) | ||
return ret, latency_per_token | ||
|
||
|
||
if __name__ == "__main__": | ||
|
||
# Sample prompts. | ||
prompts = [ | ||
"The future of AI is", | ||
] | ||
sampling_params = SamplingParams(temperature=0.8, top_p=0.95) | ||
|
||
# Create an LLM without spec decoding | ||
print("==============Without speculation==================") | ||
llm = LLM(model="facebook/opt-6.7b") | ||
|
||
ret_non_spec,latency_per_token_non_spec = time_generation(llm, prompts, sampling_params) | ||
|
||
del llm | ||
gc.collect() | ||
|
||
# Create an LLM with spec decoding | ||
print("==============With speculation=====================") | ||
llm = LLM( | ||
model="facebook/opt-6.7b", | ||
speculative_model="facebook/opt-125m", | ||
num_speculative_tokens = 5, | ||
# These are currently required for MLPSpeculator decoding | ||
use_v2_block_manager=True, | ||
) | ||
|
||
ret_spec,latency_per_token_spec = time_generation(llm, prompts, sampling_params) | ||
|
||
del llm | ||
gc.collect() | ||
print("================= Summary =====================") | ||
print("input is ", prompts) | ||
print() | ||
print("Non Spec Decode - latency_per_token is ", latency_per_token_non_spec) | ||
print("Generated Text is :", ret_non_spec) | ||
print() | ||
print("Spec Decode - latency_per_token is ", latency_per_token_spec) | ||
print("Generated Text is :", ret_spec) | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.