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LOCAL_ID=$SLURM_LOCALID | |
GLOBAL_RANK=$SLURM_PROCID | |
NODE_ID=$SLURM_NODEID | |
NUM_PROCS=$SLURM_NTASKS | |
CPUS=$SLURM_CPUS_PER_GPU | |
NUM_NODES=$SLURM_NNODES | |
MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1) | |
if [ $GLOBAL_RANK == 0 ] | |
then |
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import os | |
import fsspec | |
import click | |
import huggingface_hub as hf_hub | |
from time import perf_counter | |
from braceexpand import braceexpand | |
import multiprocessing as mp | |
from tqdm import tqdm | |
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[ | |
{ | |
"caption": "View Over Pyrenees Mountains, Spain", | |
"url": "https://static1.bigstockphoto.com/thumbs/0/0/1/large2/100000799.jpg" | |
}, | |
{ | |
"caption": "Mountain landscape with deer and forest at sunset", | |
"url": "https://cdn.xxl.thumbs.canstockphoto.com/vector-illustration-of-mountain-landscape-with-deer-and-forest-at-sunset-clip-art-vector_csp56740268.jpg" | |
}, | |
{ |
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2022-10-08 03:30:04 1922586752 img_emb_0000.npy | |
2022-10-08 03:57:15 1920735360 img_emb_0022.npy | |
2022-10-08 03:28:48 1921157248 img_emb_0044.npy | |
2022-10-08 03:28:30 1922345088 img_emb_0066.npy | |
2022-10-08 03:26:16 1922654336 img_emb_0088.npy | |
2022-10-08 03:31:30 1922353280 img_emb_0110.npy | |
2022-10-08 03:28:30 1922943104 img_emb_0132.npy | |
2022-10-08 03:26:54 1923940480 img_emb_0154.npy | |
2022-10-08 03:31:19 1922218112 img_emb_0176.npy | |
2022-10-08 03:28:39 1922607232 img_emb_0198.npy |
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import argparse, os, sys, glob | |
import torch | |
import torch.nn as nn | |
import numpy as np | |
from omegaconf import OmegaConf | |
from PIL import Image | |
from tqdm import tqdm, trange | |
from itertools import islice | |
from einops import rearrange | |
from torchvision.utils import make_grid |
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Loading intelmpi version 2021.4.0 | |
hosts gpu-st-p4d-24xlarge-340 | |
go 1 | |
/opt/slurm/bin/srun: line 27: [: too many arguments | |
cpu-bind=MASK - gpu-st-p4d-24xlarge-340, task 0 0 [40118]: mask 0xffffffffffff set | |
/usr/lib64/python3.7/runpy.py:125: RuntimeWarning: 'clip_retrieval.clip_inference.worker' found in sys.modules after import of package 'clip_retrieval.clip_inference', but prior to execution of 'clip_retrieval.clip_inference.worker'; this may result in unpredictable behaviour | |
warn(RuntimeWarning(msg)) | |
/usr/lib64/python3.7/multiprocessing/semaphore_tracker.py:144: UserWarning: semaphore_tracker: There appear to be 1 leaked semaphores to clean up at shutdown | |
len(cache)) | |
wandb: |
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import torch | |
from dream_bench import benchmark, DreamBenchConfig | |
def mock_harness(conditioning_args): | |
caption = conditioning_args["caption.txt"] | |
tokenized_text = conditioning_args["tokenized_text.npy"] | |
img_emb = conditioning_args["prior_image_embedding.npy"] | |
return torch.rand((img_emb.shape[0], 3, 256, 256)) |
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Loading intelmpi version 2021.4.0 | |
go 8 | |
compute-od-gpu-dy-p4d-24xlarge-8 compute-od-gpu-dy-p4d-24xlarge-9 compute-od-gpu-dy-p4d-24xlarge-10 compute-od-gpu-dy-p4d-24xlarge-11 compute-od-gpu-dy-p4d-24xlarge-12 compute-od-gpu-dy-p4d-24xlarge-13 compute-od-gpu-dy-p4d-24xlarge-14 compute-od-gpu-dy-p4d-24xlarge-15 | |
myuser=zion | |
COUNT_NODE=8 | |
LD_LIBRARY_PATH = /opt/aws-ofi-nccl/lib:/opt/amazon/efa/lib64:/usr/local/cuda-11.0/efa/lib:/usr/local/cuda-11.0/lib:/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0:/opt/nccl/build/lib:/opt/aws-ofi-nccl-install/lib:/opt/aws-ofi-nccl/lib:/opt/intel/mpi/2021.4.0//libfabric/lib:/opt/intel/mpi/2021.4.0//lib/release:/opt/intel/mpi/2021.4.0//lib:/opt/intel/mpi/2021.4.0/libfabric/lib:/opt/intel/mpi/2021.4.0/lib/release:/opt/intel/mpi/2021.4.0/lib | |
PATH = /opt/amazon/efa/bin:/opt/intel/mpi/2021.4.0//libfabric/bin:/opt/intel/mpi/2021.4.0//bin:/opt/intel/mpi/2021.4.0/libfabric/bin:/opt/intel/mpi/2021.4.0/bin:/fsx/nousr/dalle2/bin:/opt/amazon/openmpi/bin/:/opt/amazon/efa/bin/:/home/zion/. |
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Loading intelmpi version 2021.4.0 | |
go 8 | |
compute-od-gpu-dy-p4d-24xlarge-8 compute-od-gpu-dy-p4d-24xlarge-9 compute-od-gpu-dy-p4d-24xlarge-10 compute-od-gpu-dy-p4d-24xlarge-11 compute-od-gpu-dy-p4d-24xlarge-12 compute-od-gpu-dy-p4d-24xlarge-13 compute-od-gpu-dy-p4d-24xlarge-14 compute-od-gpu-dy-p4d-24xlarge-15 | |
myuser=zion | |
COUNT_NODE=8 | |
LD_LIBRARY_PATH = /opt/aws-ofi-nccl/lib:/opt/amazon/efa/lib64:/usr/local/cuda-11.0/efa/lib:/usr/local/cuda-11.0/lib:/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0:/opt/nccl/build/lib:/opt/aws-ofi-nccl-install/lib:/opt/aws-ofi-nccl/lib:/opt/intel/mpi/2021.4.0//libfabric/lib:/opt/intel/mpi/2021.4.0//lib/release:/opt/intel/mpi/2021.4.0//lib:/opt/intel/mpi/2021.4.0/libfabric/lib:/opt/intel/mpi/2021.4.0/lib/release:/opt/intel/mpi/2021.4.0/lib | |
PATH = /opt/amazon/efa/bin:/opt/intel/mpi/2021.4.0//libfabric/bin:/opt/intel/mpi/2021.4.0//bin:/opt/intel/mpi/2021.4.0/libfabric/bin:/opt/intel/mpi/2021.4.0/bin:/fsx/nousr/dalle2/bin:/opt/amazon/openmpi/bin/:/opt/amazon/efa/bin/:/home/zion/.vscode |
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#!/bin/bash | |
#SBATCH --partition=compute-od-gpu | |
#SBATCH --job-name=intelmpi_test | |
#SBATCH --nodes 4 | |
#SBATCH --ntasks-per-node 1 | |
#SBATCH --cpus-per-gpu=6 | |
#SBATCH --gres=gpu:8 | |
#SBATCH --output=%x_%j.out | |
#SBATCH --comment "Key=Monitoring,Value=ON" | |
#SBATCH --exclusive |