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This is the script:
from mario_gpt import MarioLM
mario_lm = MarioLM()
prompts = ["many pipes, many enemies, some blocks, high elevation"]
generated_level = mario_lm.sample( prompts=prompts, num_steps=100, temperature=2.0, use_tqdm=True )
generated_level.play()
generated_level.run_astar()
And I need more num_steps, but the AI lags when it reach more than 100 steps... its possible to get performance with this python library?
The text was updated successfully, but these errors were encountered:
This is my code, sorry the bad formatted previous one:
Sorry, something went wrong.
Hey! Are you sure you’re using a gpu? It can be pretty slow without one. Basically has the steps increase the information in the context increases.
You can check with torch.cuda.is_available()
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This is the script:
from mario_gpt import MarioLM
mario_lm = MarioLM()
prompts = ["many pipes, many enemies, some blocks, high elevation"]
generated_level = mario_lm.sample(
prompts=prompts,
num_steps=100,
temperature=2.0,
use_tqdm=True
)
play in interactive
generated_level.play()
run Astar agent
generated_level.run_astar()
And I need more num_steps, but the AI lags when it reach more than 100 steps... its possible to get performance with this python library?
The text was updated successfully, but these errors were encountered: