malfet

import boto3
import pandas as pd
from datetime import datetime, timedelta
from typing import Optional

cloudwatch = boto3.client("cloudwatch")
ec2 = boto3.resource("ec2")

def ec2_get_instances(filter_name, filter_value):
    return ec2.instances.filter(Filters=[{'Name': filter_name,

malfet

Python 3.10.8 (main, Nov 24 2022, 08:08:27) [Clang 14.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> import whisper
>>> torch.__version__
'2.0.0a0+git01de5dd'
>>> model = whisper.load_model("base")
>>> audio = whisper.load_audio("c1.mp3") # downloaded from https://www.mobydickbigread.com/chapter-1-loomings/
>>> audio = whisper.pad_or_trim(audio)
>>> model.transcribe(audio)["text"]

malfet

#!/usr/bin/env python3

from collections import namedtuple
from typing import Tuple, List


GH_GET_REPO_ID = """
query ($owner: String = "pytorch", $name: String = "pytorch") {
  repository(name: $name, owner: $owner) {
    id

malfet

#!/usr/bin/env python3

MPS_PROJECT_NUMBER = 26

GH_GET_PROJECT_ID = """
query ($owner: String = "pytorch", $name: String = "pytorch", $number: Int = 26) {
  repository(name: $name, owner: $owner) {
    projectV2(number: $number) {
      id
    }

malfet

# Very restricted unpickler
# Based of https://github.com/python/cpython/blob/main/Lib/pickle.py
# Expected to be useful for loading PyTorch model weights
# For example:
# data = urllib.request.urlopen('https://download.pytorch.org/models/resnet50-0676ba61.pth').read()
# buf = io.BytesIO(data)
# weights = torch.load(buf, pickle_module=WeightsUnpickler)

import sys
from sys import maxsize

malfet

#!/usr/bin/env  python3

GH_GET_VIEWER_LOGIN = """
query {
  viewer {
    login
  }
}
"""

malfet

// Compile me as
// clang++ query_metal_devices.mm -framework Metal -framework Foundation 
#include <Metal/Metal.h>

int main() {
  @autoreleasepool {
     NSArray* devices = [MTLCopyAllDevices() autorelease];
     NSLog(@"Metal device count %lu", devices.count);
     for (unsigned long i = 0 ; i < devices.count ; i++) {
        id<MTLDevice>  device = devices[i];

malfet

#!/usr/bin/env  python3

# Trying to use graphQL to fetch all commits associated with PR https://github.com/pytorch/pytorch/pull/77471
# Expect to get 700+ commits for for some reason pagination ends after first 250
# Needs valid PAT passed via GITHUB_TOKEN environment variable
GH_GET_COMMITS = """
query($cursor: String) {
  repository(owner: "pytorch", name: "pytorch") {
    pullRequest(number: 77471) {
      commits(first: 100, after: $cursor) {

malfet

{
  repository(name: "pytorch", owner: "pytorch") {
    object(oid: "7dd08230117f4fa8bb82b3524e90fb00340198c7") {
      ... on Commit {
        checkSuites(first: 100, filterBy: {appId: 15368}) {
          nodes {
            workflowRun {
              workflow {
                name
              }

malfet

query  {
  repository(owner: "pytorch", name: "pytorch") {
    pullRequest(number: 68111) {
      closed
      isCrossRepository
      author {
        login
      }
      title
      body