Upload llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/profiler/ip-26-0-160-225_985827.1720275032620289115.pt.trace.json filter=lfs diff=lfs merge=lfs -text

llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/bench.slurm

@@ -0,0 +1,111 @@
+#!/bin/bash
+
+#SBATCH --job-name=bench_cluster
+#SBATCH --time=02:00:00
+#SBATCH --partition=hopper-prod
+#SBATCH --nodes=8
+#SBATCH --gres=gpu:8
+#SBATCH --qos=prod
+#SBATCH --ntasks-per-node=1
+#SBATCH --cpus-per-task=96
+#SBATCH --exclusive
+#SBATCH --output=/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/log.out
+#SBATCH --error=/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/log.out
+
+# Function to update status based on squeue output
+update_status() {
+    job_id=$1
+    status_file=$2
+    # For unknown reasons, it doenst update status for pending. It only works for running 
+    while true; do
+        job_status=$(squeue --job $job_id --noheader --format=%T)
+        echo "Job status: $job_status"
+        if [ -z "$job_status" ]; then
+            # Job has finished or is not found
+            break
+        elif [ "$job_status" = "RUNNING" ]; then
+            printf "running" > $status_file
+            break
+        fi
+        sleep 10
+    done
+}
+
+# Misc initializations.
+echo "========================"
+echo "START TIME: $(date)"
+source /fsx/ferdinandmom/miniforge3/etc/profile.d/conda.sh
+conda activate /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster
+echo python3 version = $(python3 --version)
+echo "========================"
+
+# Slurm stuff
+export HOSTNAMES=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
+export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
+export MASTER_PORT=$((1024 + RANDOM % 64511))
+
+export TMPDIR=/scratch
+export HF_DATASETS_CACHE="/admin/home/ferdinand_mom/.cache"
+export CUBLAS_WORKSPACE_CONFIG=":4096:8"
+export CUDA_DEVICE_MAX_CONNECTIONS="1"
+
+huggingface-cli login --token $HUGGINGFACE_TOKEN
+
+
+NANOTRON_REPO="/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron"
+CMD="$NANOTRON_REPO/run_train.py --config-file /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/config.yaml"
+
+LAUNCHER="torchrun \
+   --nproc_per_node 8 \
+   --nnodes 8 \
+   --rdzv_endpoint ${MASTER_ADDR}:${MASTER_PORT} \
+   --rdzv_backend c10d \
+   --max_restarts 0 \
+   --tee 3 \
+   --node_rank ${SLURM_PROCID}"
+
+# Checkout the bench_cluster branch
+cd $NANOTRON_REPO
+git checkout bench_cluster
+cd ..
+# Get the current job ID
+job_id=${SLURM_JOB_ID}
+
+# Update status to "pending" or "running" in the background
+update_status $job_id /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt &
+
+# Run the main command
+srun -u $LAUNCHER $CMD
+exit_status=$?
+
+# Update status based on the exit status of `srun`
+if [ $exit_status -eq 0 ]; then
+    printf "completed" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt
+else
+    if grep -q "OutOfMemoryError" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/log.out; then
+        printf "oom" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt
+    elif grep -q " CUDA error: an illegal memory access" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/log.out; then
+        printf "oom" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt
+    elif grep -q "Timeout at NCCL" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/log.out; then
+        printf "timeout" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt
+    else
+        printf "fail" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt
+    fi 
+fi
+
+# Run the report script if the job completed successfully
+if [ $exit_status -eq 0 ]; then
+    python /fsx/ferdinandmom/ferdinand-hf/bench_cluster/main.py report --inp_dir /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16 --is_logs
+    python /fsx/ferdinandmom/ferdinand-hf/bench_cluster/main.py report --inp_dir /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16 --is_profiler
+fi
+
+
+# Push to hub the folder using huggingface_cli
+huggingface-cli upload nanotron/bench_cluster /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16 llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16 --commit-message "Upload llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16"
+
+# Verify the upload
+if [ $? -eq 0 ]; then
+    echo "Uploading to Huggingface Hub successful"
+else
+    echo "Failed to upload to Huggingface Hub"
+fi

llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/config.yaml

@@ -0,0 +1,90 @@
+general:
+  project: bench_cluster
+  seed: 42
+model:
+  ddp_bucket_cap_mb: 25
+  dtype: bfloat16
+  init_method:
+    std: 0.025
+  make_vocab_size_divisible_by: 1
+  model_config:
+    bos_token_id: 1
+    eos_token_id: 2
+    hidden_act: silu
+    hidden_size: 2048
+    initializer_range: 0.02
+    intermediate_size: 4096
+    is_llama_config: true
+    max_position_embeddings: 4096
+    num_attention_heads: 32
+    num_hidden_layers: 24
+    num_key_value_heads: 32
+    pad_token_id: null
+    pretraining_tp: 1
+    rms_norm_eps: 1.0e-05
+    rope_scaling: null
+    rope_theta: 10000.0
+    tie_word_embeddings: true
+    use_cache: true
+    vocab_size: 50257
+optimizer:
+  accumulate_grad_in_fp32: true
+  clip_grad: 1.0
+  learning_rate_scheduler:
+    learning_rate: 0.0001
+    lr_decay_style: linear
+    lr_warmup_style: linear
+    lr_warmup_steps: 1
+    min_decay_lr: 1.0e-05
+  optimizer_factory:
+    adam_beta1: 0.9
+    adam_beta2: 0.95
+    adam_eps: 1.0e-08
+    name: adamW
+    torch_adam_is_fused: true
+  weight_decay: 0.01
+  zero_stage: 1
+parallelism:
+  dp: 1
+  expert_parallel_size: 1
+  pp: 8
+  pp_engine: 1f1b
+  tp: 8
+  tp_linear_async_communication: false
+  tp_mode: REDUCE_SCATTER
+profiler:
+  profiler_export_path: /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16
+tokenizer:
+  tokenizer_max_length: null
+  tokenizer_name_or_path: openai-community/gpt2
+  tokenizer_revision: null
+data_stages:
+- name: Training Stage
+  start_training_step: 1
+  data:
+    dataset:
+      dataset_overwrite_cache: false
+      dataset_processing_num_proc_per_process: 64
+      hf_dataset_config_name: null
+      hf_dataset_or_datasets: roneneldan/TinyStories
+      hf_dataset_splits: train
+      text_column_name: text
+    num_loading_workers: 0
+    seed: 42
+lighteval: null
+tokens:
+  train_steps: 20
+  val_check_interval: -1
+  batch_accumulation_per_replica: 64
+  limit_test_batches: 0
+  limit_val_batches: 0
+  micro_batch_size: 16
+  sequence_length: 4096
+logging:
+  iteration_step_info_interval: 1
+  log_level: info
+  log_level_replica: info
+checkpoints:
+  checkpoint_interval: 100000
+  checkpoints_path: /dev/null
+  resume_checkpoint_path: null

llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/log_metrics.csv

@@ -0,0 +1,21 @@
+iteration,consumed_tokens,elapsed_time_per_iteration_ms,tokens_per_sec,tokens_per_sec_per_gpu,global_batch_size,lm_loss,lr,model_tflops_per_gpu,hardware_tflops_per_gpu,grad_norm,memory_usage_MiB,peak_allocated_MiB,peak_reserved_MiB
+1,4190000.0000000005,260000.0,16100.000000000002,252.0,1020.0,11.1,0.0001,2.29,2.29,13.4,655.29,34839.89,35196.0
+2,8390000.0,47500.0,88300.0,1380.0,1020.0,11.1,9.53e-05,12.5,12.5,13.5,655.29,34839.89,35196.0
+3,12600000.0,25200.0,166000.0,2600.0,1020.0,9.89,9.05e-05,23.6,23.6,17.3,655.29,34839.89,35196.0
+4,16800000.0,23800.0,176000.0,2760.0,1020.0,10.5,8.58e-05,25.0,25.0,11.9,655.29,655.3,35196.0
+5,21000000.0,20500.0,204000.0,3190.0,1020.0,9.72,8.11e-05,29.0,29.0,9.81,655.29,34839.89,35196.0
+6,25200000.0,21500.0,195000.0,3040.0,1020.0,9.12,7.63e-05,27.6,27.6,5.97,655.29,34839.89,35196.0
+7,29400000.0,20700.0,202000.0,3160.0,1020.0,8.76,7.16e-05,28.7,28.7,5.56,655.29,34839.89,35196.0
+8,33600000.0,20400.0,206000.0,3220.0,1020.0,8.54,6.68e-05,29.2,29.2,6.82,655.29,34839.89,35196.0
+9,37700000.0,18700.0,224000.0,3500.0,1020.0,8.22,6.21e-05,31.7,31.7,4.82,,,
+10,41900000.0,18900.0,222000.0,3470.0,1020.0,8.03,5.74e-05,31.5,31.5,4.81,655.29,34839.89,35196.0
+11,46100000.0,18800.0,223000.0,3480.0,1020.0,7.84,5.26e-05,31.6,31.6,4.56,655.29,34839.89,35196.0
+12,50300000.0,19000.0,221000.0,3450.0,1020.0,7.69,4.79e-05,31.3,31.3,4.35,,,
+13,54500000.0,18300.0,230000.0,3590.0,1020.0,7.54,4.32e-05,32.6,32.6,3.75,655.29,34839.89,35196.0
+14,58700000.0,19000.0,221000.0,3450.0,1020.0,7.42,3.84e-05,31.3,31.3,3.53,,,
+15,62900000.0,18900.0,221000.0,3460.0,1020.0,7.29,3.37e-05,31.4,31.4,3.36,655.29,34839.89,35196.0
+16,67099999.99999999,17900.0,234000.0,3660.0,1020.0,7.2,2.89e-05,33.2,33.2,3.45,655.29,34839.89,35196.0
+17,71300000.0,18000.0,232000.0,3630.0,1020.0,7.12,2.42e-05,33.0,33.0,3.57,655.29,34839.89,35196.0
+18,75500000.0,17500.0,240000.0,3740.0,1020.0,7.04,1.95e-05,34.0,34.0,3.52,655.29,34839.89,35196.0
+19,79700000.0,18600.0,226000.0,3530.0,1020.0,6.98,1.47e-05,32.0,32.0,3.33,,,
+20,83900000.0,18400.0,228000.0,3570.0,1020.0,6.93,1e-05,32.3,32.3,3.08,,,

llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/profiler.csv

@@ -0,0 +1,2 @@
+forward,backward
+0ms 897μs,2ms 827μs

llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/profiler/ip-26-0-160-225_985827.1720275032620289115.pt.trace.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29aeb7b23154ccf94c9acbc5a9556af6cdb9b932bd34923cd4690dbe879abcee
+size 1629313426

llama-1B/64_GPUS/dp-1_tp-8_pp-8_mbz-16/status.txt

@@ -0,0 +1 @@
+completed