AmirHussein96
diff --git a/‎scripts/performance/diffusion/pretrain_flux_12b.py‎
Lines changed: 3 additions & 7 deletions b/‎scripts/performance/diffusion/pretrain_flux_12b.py‎
Lines changed: 3 additions & 7 deletions
diff --git a/‎scripts/performance/executors.py‎
Lines changed: 119 additions & 0 deletions b/‎scripts/performance/executors.py‎
Lines changed: 119 additions & 0 deletions
@@ -20,13 +20,8 @@
 from nemo.lightning.run.plugins import NsysPlugin, PerfEnvPlugin
 
 from ..argument_parser import parse_cli_args
-from ..utils import (
-    args_sanity_check,
-    get_user_configs,
-    set_exp_logging_configs,
-    set_primary_perf_configs,
-    slurm_executor,
-)
+from ..executors import slurm_executor
+from ..helpers import args_sanity_check, get_user_configs, set_exp_logging_configs, set_primary_perf_configs
 
 
 def override_recipe_configs(
@@ -94,6 +89,7 @@ def override_recipe_configs(
     exp_name = f"{splitext(basename(__file__))[0]}_{args.compute_dtype}_{exp_config}"
 
     executor = slurm_executor(
+        args.gpu.lower(),
         args.account,
         args.partition,
         args.log_dir,
 
@@ -0,0 +1,119 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import sys
+from typing import Dict, List
+
+import nemo_run as run
+from nemo_run.config import get_nemorun_home
+
+from nemo.lightning.base import DEFAULT_NEMO_CACHE_HOME
+from nemo.utils import logging
+
+DEFAULT_NEMO_HOME = os.getenv('NEMO_HOME', DEFAULT_NEMO_CACHE_HOME)
+
+
+def slurm_executor(
+    gpu: str,
+    account: str,
+    partition: str,
+    log_dir: str,
+    nodes: int,
+    num_gpus_per_node: int,
+    time_limit: str = "00:30:00",
+    container_image: str = "nvcr.io/nvidia/nemo:dev",
+    custom_mounts: List[str] = [],
+    custom_env_vars: Dict[str, str] = {},
+    custom_srun_args: List[str] = [],
+    hf_token: str = None,
+    nemo_home: str = DEFAULT_NEMO_HOME,
+    wandb_key: str = None,
+    network: str = None,
+) -> run.SlurmExecutor:
+    """
+    Slurm cluster definition with appropriate cluster params and NeMo container params needed for pre-training
+    and fine-tuning experiments
+    """
+    PERF_ENV_VARS = {
+        "TORCH_NCCL_AVOID_RECORD_STREAMS": "1",  # Disable caching NCCL communication buffer memory
+        "TRANSFORMERS_OFFLINE": "1",  # Enable online downloads from HuggingFace
+        "TOKENIZERS_PARALLELISM": "False",  # Restrict warning message prints
+        "NCCL_NVLS_ENABLE": "0",  # Disable NVLink SHARP to save memory
+        "NVTE_FLASH_ATTN": "1",  # Enable Flash Attention, which is needed to enable cuDNN fused attention
+        "NVTE_FUSED_ATTN": "1",  # Enable cuDNN fused attention
+        "NEMO_LOG_MEMORY_USAGE": "1",  # Print memory allocation
+    }
+
+    err_msgs = []
+    mounts = []
+    srun_args = custom_srun_args.copy() + ["--mpi=pmix"]
+
+    if log_dir != get_nemorun_home():
+        err_msgs.append(f"\nRun `export NEMORUN_HOME={log_dir}` in your shell environment and rerun this script.")
+    if len(err_msgs) > 0:
+        logging.error("\n".join(err_msgs))
+        sys.exit(1)
+
+    if gpu.lower() not in ['b200']:
+        # TODO: we currently disable PYTORCH_CUDA_ALLOC_CONF="expandable_segments:True"
+        # on B200 as it causes an unexpected error. Add back when issue is debugged and fixed.
+        PERF_ENV_VARS["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True"
+    PERF_ENV_VARS["NEMORUN_HOME"] = log_dir
+    if wandb_key is not None:
+        PERF_ENV_VARS["WANDB_API_KEY"] = wandb_key
+
+    if num_gpus_per_node == 4:
+        PERF_ENV_VARS["NCCL_NET_GDR_LEVEL"] = "PHB"  # For NCCL 2.25
+        PERF_ENV_VARS["NCCL_NET_GDR_C2C"] = 1  # For NCCL 2.26
+        srun_args.append("numactl --cpunodebind=$((SLURM_LOCALID/2)) --membind=$((SLURM_LOCALID/2))")
+    else:
+        srun_args.append("numactl --cpunodebind=$((SLURM_LOCALID/4)) --membind=$((SLURM_LOCALID/4))")
+
+    if nemo_home != DEFAULT_NEMO_CACHE_HOME:  # DO NOT change this to 'DEFAULT_NEMO_HOME'/'NEMO_HOME'
+        PERF_ENV_VARS["NEMO_HOME"] = nemo_home
+        mounts.extend([f"{nemo_home}:{nemo_home}"])
+    if hf_token is not None:
+        PERF_ENV_VARS.update({"HF_TOKEN": hf_token, "TRANSFORMERS_OFFLINE": "0"})
+
+    PERF_ENV_VARS |= custom_env_vars
+    mounts.extend(custom_mounts)
+
+    # add --segment flag to sbatch if job uses GB200 and goes beyond one rack.
+    segment = None
+    if num_gpus_per_node == 4 and nodes > 18:
+        for segment_candidate in range(18, 0, -1):
+            if nodes % segment_candidate == 0:
+                segment = segment_candidate
+                break
+
+    executor = run.SlurmExecutor(
+        account=account,
+        partition=partition,
+        tunnel=run.LocalTunnel(job_dir=os.path.join(log_dir, "experiments")),
+        nodes=nodes,
+        ntasks_per_node=num_gpus_per_node,
+        container_image=container_image,
+        container_mounts=mounts,
+        env_vars=PERF_ENV_VARS,
+        srun_args=srun_args,
+        time=time_limit,
+        mem="0",
+        exclusive=True,
+        packager=run.GitArchivePackager(),
+        segment=segment,
+        network=network,
+    )
+
+    return executor