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StarPilot/tinygrad_repo/test/external/external_benchmark_llama_schedule.py
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firestar5683 22a8575199 Vendor dependencies and resources for standalone builds
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
2026-10-03 21:01:18 +00:00

35 lines
1.2 KiB
Python

from tinygrad import nn, Tensor, dtypes
from tinygrad.helpers import DEV, Timing, Context
from extra.models.llama import Transformer
from examples.llama3 import MODEL_PARAMS
if __name__ == "__main__":
DEV.value = "NULL"
#model_size = "8B"
model_size = "405B"
with Context(TRAINING=1), Timing("total "):
with Timing("***** create model in "):
model = Transformer(**MODEL_PARAMS[model_size]["args"], linear=nn.Linear, embedding=nn.Embedding,
max_context=1024, jit=True, disable_kv_cache=True)
with Timing("***** fake state in "):
Tensor.realize(*[p.assign(Tensor.empty(*p.shape, device=p.device, dtype=p.dtype)) for p in nn.state.get_parameters(model)])
with Timing("***** create optim in "):
opt = nn.optim.AdamW(nn.state.get_parameters(model))
with Timing("***** run model in "):
toks = Tensor.empty(1, 1024, dtype=dtypes.int)
out = model(toks, 0, temperature=float('nan'))
with Timing("***** backward in "):
out.mean().backward()
with Timing("***** realize in "):
out.realize()
with Timing("***** step in "):
opt.step()