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Merged
Kipok merged 5 commits into from
Aug 14, 2025
Merged

add support for nsys profile #667

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a9ab333
add support for nsys profile
wedu-nvidia Aug 13, 2025
0ccc215
refractor logic
wedu-nvidia Aug 13, 2025
c78f1f7
Merge branch 'main' of github.com:NVIDIA/NeMo-Skills into wedu/nsys_p…
wedu-nvidia Aug 13, 2025
a70e02a
update nsys profiling for both sft and grpo
wedu-nvidia Aug 13, 2025
7a1a8d0
update
wedu-nvidia Aug 14, 2025
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63 changes: 39 additions & 24 deletions nemo_skills/pipeline/nemo_rl/grpo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,8 @@
get_timeout,
resolve_mount_paths,
run_exp,
temporary_env_update,
get_nsight_cmd,
)
from nemo_skills.utils import get_logger_name, setup_logging

Expand All @@ -57,6 +59,7 @@ class NemoRLTask:
log_dir: str
env_variables: dict
backend: str
profile_step_range: str
extra_arguments: str = ""

def format_train_args(self):
Expand Down Expand Up @@ -94,10 +97,11 @@ def format_wandb_args(self):

def get_cmd(self):
self.logging_params = self.format_wandb_args()

nsight_cmd = get_nsight_cmd(self.profile_step_range)
cmd = (
f"export PYTHONPATH=$PYTHONPATH:/nemo_run/code:/opt/NeMo-RL && "
f"export UV_PROJECT=/opt/NeMo-RL && "
f"{nsight_cmd}"
f"echo 'Starting training' && "
f"uv run --active python /nemo_run/code/nemo_skills/training/nemo_rl/start_grpo.py "
f" {self.format_train_args()} "
Expand Down Expand Up @@ -125,6 +129,7 @@ def get_training_cmd(
log_dir,
env_variables,
backend,
profile_step_range,
):
timeout = get_timeout(cluster_config, partition)

Expand All @@ -144,6 +149,7 @@ def get_training_cmd(
log_dir=log_dir,
env_variables=env_variables,
backend=backend,
profile_step_range=profile_step_range,
)

return task.get_cmd()
Expand Down Expand Up @@ -197,6 +203,12 @@ def grpo_nemo_rl(
wandb_project: str = typer.Option("nemo-skills", help="Weights & Biases project name"),
wandb_group: str = typer.Option(None, help="Weights & Biases group name."),
disable_wandb: bool = typer.Option(False, help="Disable wandb logging"),
profile_step_range: str = typer.Option(
None,
help="Controls which training steps the nsys profiler captures. "
"Format: START:STOP (1-indexed, STOP exclusive, same as slice syntax arr[start:stop]). "
"Example: '3:5' profiles steps 3 and 4 only. NOTE: START must be ≥ 1, so '0:10' is invalid."
),
partition: str = typer.Option(
None, help="Can specify if need interactive jobs or a specific non-default partition"
),
Expand Down Expand Up @@ -302,34 +314,37 @@ def grpo_nemo_rl(
log_dir=f"{log_dir}/training-logs",
env_variables=env_variables,
backend=backend,
profile_step_range=profile_step_range,
)

server_config = None
env_update = {"RAY_LOG_SYNC_FREQUENCY": 20} if profile_step_range else {}
with get_exp(expname, cluster_config, _reuse_exp) as exp:
prev_task = _task_dependencies
for job_id in range(num_training_jobs):
prev_task = add_task(
exp,
cmd=train_cmd,
task_name=f'{expname}-grpo-{job_id}',
log_dir=f"{log_dir}/training-logs",
container=cluster_config["containers"]["nemo-rl"],
num_gpus=num_gpus,
num_nodes=num_nodes,
cluster_config=cluster_config,
server_config=server_config,
partition=partition,
time_min=time_min,
run_after=run_after,
reuse_code=reuse_code,
reuse_code_exp=reuse_code_exp,
task_dependencies=[prev_task] if prev_task is not None else None,
slurm_kwargs={"exclusive": exclusive} if exclusive else None,
heterogeneous=True if server_config is not None else False,
with_sandbox=with_sandbox,
with_ray=True,
installation_command=installation_command,
)
with temporary_env_update(cluster_config, env_update):
for job_id in range(num_training_jobs):
prev_task = add_task(
exp,
cmd=train_cmd,
task_name=f'{expname}-grpo-{job_id}',
log_dir=f"{log_dir}/training-logs",
container=cluster_config["containers"]["nemo-rl"],
num_gpus=num_gpus,
num_nodes=num_nodes,
cluster_config=cluster_config,
server_config=server_config,
partition=partition,
time_min=time_min,
run_after=run_after,
reuse_code=reuse_code,
reuse_code_exp=reuse_code_exp,
task_dependencies=[prev_task] if prev_task is not None else None,
slurm_kwargs={"exclusive": exclusive} if exclusive else None,
heterogeneous=True if server_config is not None else False,
with_sandbox=with_sandbox,
with_ray=True,
installation_command=installation_command,
)

prev_task = add_task(
exp,
Expand Down
80 changes: 48 additions & 32 deletions nemo_skills/pipeline/nemo_rl/sft.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,8 @@
get_timeout,
resolve_mount_paths,
run_exp,
temporary_env_update,
get_nsight_cmd,
)
from nemo_skills.utils import get_logger_name, setup_logging

Expand Down Expand Up @@ -59,6 +61,7 @@ class NemoRLTask:
log_dir: str
env_variables: dict
backend: str
profile_step_range: str
extra_arguments: str = ""

def format_train_args(self):
Expand Down Expand Up @@ -94,20 +97,22 @@ def format_wandb_args(self):

def get_cmd(self):
self.logging_params = self.format_wandb_args()

nsight_cmd = get_nsight_cmd(self.profile_step_range)
cmd = (
f"export PYTHONPATH=$PYTHONPATH:/nemo_run/code:/opt/NeMo-RL && "
f"export UV_PROJECT=/opt/NeMo-RL && "
f"echo 'Starting training' && "
f"NRL_FORCE_REBUILD_VENVS=true uv run --active python /nemo_run/code/nemo_skills/training/nemo_rl/start_sft.py "
f" {self.format_train_args()} "
f" {self.format_data_args()} "
f" {self.logging_params} "
f" {self.extra_arguments} "
"export PYTHONPATH=$PYTHONPATH:/nemo_run/code:/opt/NeMo-RL && "
"export UV_PROJECT=/opt/NeMo-RL && "
f"{nsight_cmd}"
"echo 'Starting training' && "
"NRL_FORCE_REBUILD_VENVS=true uv run --active "
"python /nemo_run/code/nemo_skills/training/nemo_rl/start_sft.py "
f"{self.format_train_args()} {self.format_data_args()} "
f"{self.logging_params} {self.extra_arguments}"
)

return cmd



def get_training_cmd(
cluster_config,
partition,
Expand All @@ -125,6 +130,7 @@ def get_training_cmd(
log_dir,
env_variables,
backend,
profile_step_range,
):
timeout = get_timeout(cluster_config, partition)

Expand All @@ -144,6 +150,7 @@ def get_training_cmd(
log_dir=log_dir,
env_variables=env_variables,
backend=backend,
profile_step_range=profile_step_range,
)

return task.get_cmd()
Expand Down Expand Up @@ -197,6 +204,12 @@ def sft_nemo_rl(
wandb_project: str = typer.Option("nemo-skills", help="Weights & Biases project name"),
wandb_group: str = typer.Option(None, help="Weights & Biases group name."),
disable_wandb: bool = typer.Option(False, help="Disable wandb logging"),
profile_step_range: str = typer.Option(

@Kipok Kipok Aug 13, 2025

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same comments here as in the grpo file

@wedu-nvidia wedu-nvidia Aug 14, 2025

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Done

None,
help="Controls which training steps the nsys profiler captures. "
"Format: START:STOP (1-indexed, STOP exclusive, same as slice syntax arr[start:stop]). "
"Example: '3:5' profiles steps 3 and 4 only. NOTE: START must be ≥ 1, so '0:10' is invalid."
),
partition: str = typer.Option(
None, help="Can specify if need interactive jobs or a specific non-default partition"
),
Expand Down Expand Up @@ -301,34 +314,37 @@ def sft_nemo_rl(
log_dir=f"{log_dir}/training-logs",
env_variables=env_variables,
backend=backend,
profile_step_range=profile_step_range,
)

server_config = None
env_update = {"RAY_LOG_SYNC_FREQUENCY": 20} if profile_step_range else {}
with get_exp(expname, cluster_config, _reuse_exp) as exp:
prev_task = _task_dependencies
for job_id in range(num_training_jobs):
prev_task = add_task(
exp,
cmd=train_cmd,
task_name=f'{expname}-sft-{job_id}',
log_dir=f"{log_dir}/training-logs",
container=cluster_config["containers"]["nemo-rl"],
num_gpus=num_gpus,
num_nodes=num_nodes,
cluster_config=cluster_config,
server_config=server_config,
partition=partition,
time_min=time_min,
run_after=run_after,
reuse_code=reuse_code,
reuse_code_exp=reuse_code_exp,
task_dependencies=[prev_task] if prev_task is not None else None,
slurm_kwargs={"exclusive": exclusive} if exclusive else None,
heterogeneous=True if server_config is not None else False,
with_sandbox=False,
with_ray=True,
installation_command=installation_command,
)
with temporary_env_update(cluster_config, env_update):
for job_id in range(num_training_jobs):
prev_task = add_task(
exp,
cmd=train_cmd,
task_name=f'{expname}-sft-{job_id}',
log_dir=f"{log_dir}/training-logs",
container=cluster_config["containers"]["nemo-rl"],
num_gpus=num_gpus,
num_nodes=num_nodes,
cluster_config=cluster_config,
server_config=server_config,
partition=partition,
time_min=time_min,
run_after=run_after,
reuse_code=reuse_code,
reuse_code_exp=reuse_code_exp,
task_dependencies=[prev_task] if prev_task is not None else None,
slurm_kwargs={"exclusive": exclusive} if exclusive else None,
heterogeneous=True if server_config is not None else False,
with_sandbox=False,
with_ray=True,
installation_command=installation_command,
)

prev_task = add_task(
exp,
Expand Down
1 change: 1 addition & 0 deletions nemo_skills/pipeline/utils/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@
get_exp_handles,
get_sandbox_command,
run_exp,
get_nsight_cmd,
)
from nemo_skills.pipeline.utils.generation import (
configure_client,
Expand Down
12 changes: 12 additions & 0 deletions nemo_skills/pipeline/utils/exp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -633,3 +633,15 @@ def get_exp(expname, cluster_config, _reuse_exp=None):
if cluster_config['executor'] == 'local':
return run.Experiment(expname, clean_mode=True)
return run.Experiment(expname, clean_mode=True, log_level="WARN")


def get_nsight_cmd(profile_step_range):
cmd = ''
if profile_step_range is not None:
cmd = (
f'export LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/cuda/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/lib/x86_64-linux-gnu" && '
f"export NRL_NSYS_PROFILE_STEP_RANGE={profile_step_range} && "
'export NRL_NSYS_WORKER_PATTERNS="*policy*,*vllm*" && '

)
return cmd