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[profiler] fix multi-aiu profiling and add setable options #519

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[profiler] fix multi-aiu profiling and add setable options #519

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44 changes: 31 additions & 13 deletions vllm_spyre/v1/worker/spyre_worker.py
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Original file line number Diff line number Diff line change
Expand Up @@ -259,25 +259,43 @@ def __init__(
# VLLM_TORCH_PROFILER_DIR=/path/to/save/trace
if envs.VLLM_TORCH_PROFILER_DIR:
torch_profiler_trace_dir = envs.VLLM_TORCH_PROFILER_DIR
activities = [torch.profiler.ProfilerActivity.CPU]
logger.info("Profiling enabled. Traces will be saved to: %s",
torch_profiler_trace_dir)

if envs_spyre.VLLM_SPYRE_DYNAMO_BACKEND == "sendnn":
from torch_sendnn import torch_sendnn
torch.utils.rename_privateuse1_backend("aiu")
torch._register_device_module("aiu",
torch_sendnn.sendnn_backend)
torch.utils.generate_methods_for_privateuse1_backend()
activities.append(torch.profiler.ProfilerActivity.PrivateUse1)
logger.info("Traces will contain AIU events if PyTorch with"
" AIU profiling support is installed.")
os.environ["ProfilerActivity"] = "PrivateUse1" # noqa: SIM112

# Get the current value of DT_OPT and autopilot
dt_opt = os.environ.get("DT_OPT", "")
options = dict(
opt.split('=') for opt in dt_opt.split(',') if '=' in opt)
autopilot_opt = options.get(
"autopilot", "1") # autopilot defaults to 1 if not set
if autopilot_opt == "1":
logger.warning(
"autopilot on detected with profiling enabled. Add "
"autpilot=0 to DT_OPT to see individual AIU-kernel "
"execution in the trace.")

logger.debug(
"Profiler config: record_shapes=%s,"
"profile_memory=%s,with_stack=%s,with_flops=%s",
envs.VLLM_TORCH_PROFILER_RECORD_SHAPES,
envs.VLLM_TORCH_PROFILER_WITH_PROFILE_MEMORY,
envs.VLLM_TORCH_PROFILER_WITH_STACK,
envs.VLLM_TORCH_PROFILER_WITH_FLOPS,
)

self.profiler = torch.profiler.profile(
activities=activities,
record_shapes=True,
with_stack=True,
activities=[torch.profiler.ProfilerActivity.CPU],
record_shapes=envs.VLLM_TORCH_PROFILER_RECORD_SHAPES,
profile_memory=envs.VLLM_TORCH_PROFILER_WITH_PROFILE_MEMORY,
with_stack=envs.VLLM_TORCH_PROFILER_WITH_STACK,
with_flops=envs.VLLM_TORCH_PROFILER_WITH_FLOPS,
on_trace_ready=torch.profiler.tensorboard_trace_handler(
torch_profiler_trace_dir, use_gzip=True))
print(
"[SpyreWorker] Profiling enabled. Traces will be saved to: %s",
torch_profiler_trace_dir)
else:
self.profiler = None

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