bri25yu

# On a18, not using nccl backend resolves
torchrun --nproc-per-node 8 test_barrier.py

# On a18, using nccl backend hangs
torchrun --nproc-per-node 8 test_barrier.py --use_nccl

# On other nodes, this script never hangs
torchrun --nproc-per-node 8 test_barrier.py
torchrun --nproc-per-node 8 test_barrier.py --use_nccl

bri25yu

Instructor.create(first_name: "Michael", last_name: "Psenka", title: "Lecturer")
Instructor.create(first_name: "Gopala", last_name: "Anumanchipalli", title: "Assistant Professor")
Instructor.create(first_name: "Igor", last_name: "Mordatch", title: "Assistant Professor")
Instructor.create(first_name: "Gasper", last_name: "Begus", title: "Assistant Professor")
Instructor.create(first_name: "Venkatesan", last_name: "Guruswami", title: "Assistant Professor")
Instructor.create(first_name: "Joe", last_name: "Hellerstein", title: "Professor")

start_time = DateTime.now - (12 / 24.0)  # Past 12 hours
Instructorship.where("created_at >= (?)", start_time).destroy_all
Klass.where("created_at >= (?)", start_time).destroy_all

bri25yu

to_add = [
    ["Bob", "Joe", "Compserv"],
]

for data in to_add do
    matched_people = People.where(first_name: data[0], last_name: data[1])
    
end

bri25yu

from typing import Dict, List

import csv


in_path = "../../../../Downloads/HKN Candidate RSVP Form (Fa22) (Responses) - Form Responses 1.csv"
out_path = "candidate_info.csv"


with open(in_path) as f:

bri25yu

# Without vectorization
time python cs285/scripts/run_hw2.py \
    --exp_name q1_sb_no_rtg_dsa \
    --env_name CartPole-v0 \
    -n 10 \
    -b 10000 \
    --multiprocess_gym_envs 1

# With vectorization
time python cs285/scripts/run_hw2.py \

bri25yu

Slot.where(room: Slot::Room::Cory, hour: 11, wday: 5).first.tutors.clear
Slot.where(room: Slot::Room::Cory, hour: 15, wday: 2).first.tutors.clear
Slot.where(room: Slot::Room::Cory, hour: 15, wday: 4).first.tutors.clear
Slot.where(room: Slot::Room::Cory, hour: 16, wday: 4).first.tutors.clear

bri25yu

from collections import OrderedDict
import numpy as np
import time
from tqdm import trange

import gym
import torch

from cs285.infrastructure import pytorch_util as ptu
from cs285.infrastructure.logger import Logger

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cs_dept = Department.where(abbr: "COMPSCI").first()
info_dept = Department.create(
    name: "Information",
    abbr: "INFO",
)

# Create CS 194-26 and CS 294-26
# For course information, see https://inst.eecs.berkeley.edu/~cs194-26/fa22/
for course_number in [194, 294] do
    Course.create(