Quentin-Anthony

import argparse
import math

# Helper function to pretty-print message sizes
def convert_flops(params):
    if params == 0:
        return "0"
    size_name = ("", "KFLOPs", "MFLOPs", "GFLOPs", "TFLOPs", "PFLOPs", "EFLOPs", "ZFLOPs", "YFLOPs")
    i = int(math.floor(math.log(params, 1000)))
    p = math.pow(1000, i)

Quentin-Anthony

import argparse
import math

# Helper function to pretty-print message sizes
def convert_params(params):
    if params == 0:
        return "0"
    size_name = ("", "K", "M", "B", "T", "P", "E", "Z", "Y")
    i = int(math.floor(math.log(params, 1000)))
    p = math.pow(1000, i)

Quentin-Anthony

import torch
from safetensors.torch import save_file, load_file
import numpy as np
import argparse
import os
import time

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--no-save", action="store_false", help="disables saving initial tensors")

Quentin-Anthony

NOWLAB Individual Contributor License Agreement

Thank you for your interest in contributing to open source software projects (“Projects”) made available by the Network-Based Computing Laboratory (NBCL) or its affiliates (“NBCL”). This Individual Contributor License Agreement (“Agreement”) sets out the terms governing any source code, object code, bug fixes, configuration changes, tools, specifications, documentation, data, materials, feedback, information or other works of authorship that you submit or have submitted, in any form and in any manner, to NBCL in respect of any of the Projects (collectively “Contributions”). If you have any questions respecting this Agreement, please contact panda@cse.ohio-state.edu.

You agree that the following terms apply to all of your past, present and future Contributions. Except for the licenses granted in this Agreement, you retain all of your right, title and interest in and to your Contributions.

Copyright License. You hereby grant, and agree to grant, to NB

Quentin-Anthony

import argparse
import math

# Helper function to pretty-print message sizes
def convert_params(params):
    if params == 0:
        return "0"
    size_name = ("", "K", "M", "B", "T", "P", "E", "Z", "Y")
    i = int(math.floor(math.log(params, 1000)))
    p = math.pow(1000, i)

Quentin-Anthony

#!/bin/bash
#SBATCH --partition=gpu
#SBATCH --job-name=gputest
#SBATCH --nodes 1
#SBATCH --ntasks-per-node 8
#SBATCH --cpus-per-gpu=6
#SBATCH --gres=gpu:8
#SBATCH --nodelist gpu-st-p4d-24xlarge-42
#SBATCH --output=%x_%j.out
#SBATCH --open-mode=append

Quentin-Anthony

ZeRO Stage	Data-Parallel	MP	PP	MP+PP	MoE	MoE+MP
1	✓	✓	✓	✓	✓	✓
2	✓	✓	N/A	N/A	✓	✓
3	✓	✓	N/A	N/A	N/A	N/A