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class ConvNet(nn.Module):
    def __init__(self, num_classes=10):
        super(ConvNet, self).__init__()
        self.layer1 = nn.Sequential(
            nn.Conv2d(1, 16, kernel_size=5, stride=1, padding=2),
            nn.BatchNorm2d(16),
            nn.ReLU(),
            nn.MaxPool2d(kernel_size=2, stride=2))
        self.layer2 = nn.Sequential(
            nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),

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import os
from datetime import datetime
import argparse
import torch.multiprocessing as mp
import torchvision
import torchvision.transforms as transforms
import torch
import torch.nn as nn
import torch.distributed as dist
from apex.parallel import DistributedDataParallel as DDP

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{
 "Iris": 100,
 "MNIST": 100000,
 "Public SVNH": 1000000,
 "Champolion": 10000000,
 "ImageNet": 100000000,
 "HN transcriptor": 1000000000,
 "Seconds from birth to college graduation": 10000000000,
 "HN detector": 100000000000
}

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def start_dataflow_pipeline(): 
  bucket = ‘fb_bucket’
  BODY = {
    “jobName”: ‘fb_
    catalog_upload’,
    “gcsPath”: “gs://{bucket}/catalog_up”.format(bucket=bucket),
    “environment”: {
      “tempLocation”: “gs://{bucket}/temp”.format(bucket=bucket),
      “zone”: “us-central1-f”
    }

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#!/bin/bash
python -m catalog_upload — project project_name — runner DataflowRunner \
    — staging_location $BUCKET/staging — temp_location $BUCKET/temp \
     — output $BUCKET/results/output — template_location $BUCKET/catalog_up \
     — requirements_file requirements.txt

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def transform_entity(pb):
  from google.cloud.datastore.helpers import entity_from_protobuf
  entity = entity_from_protobuf(pb)
  retailer_id = entity.get('id', '')
  name = entity.get('name')
  category = entity.get(‘category’, ‘’)
  description = entity.get(‘description’, ‘’)
  image_link = entity.get(‘image’, ‘’)
  price = entity.get(‘price’, ‘0’)
  link = entity.get('url', '')

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#1 Here we define the Dataflow pipeline
with beam.Pipeline() as p:
    # 2 We query all products in the queried_namespace
    query = query_pb2.Query()
    query.kind.add().name = 'Product'
    entities = p | 'Read From Datastore' >>
                    ReadFromDatastore('project_name', query, namespace='queried_namespace')

    # 3 Formatting the rows 
    products = entities | 'Format Rows' >> beam.Map(transform_entity)

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find . -type f -name '*.swift' -exec sed -i '' s/\.endIndex/\.upperBound/ {} +

find . -type f -name '*.swift' -exec sed -i '' s/\.startIndex/\.lowerBound/ {} +

find . -type f -name '*.swift' -exec sed -i '' s/offsetInPlace/offsetBy/ {} +

# Uppercase to lowercase

find . -type f -name '*.swift' -exec sed -i '' s/\.CGColor/\.cgColor/ {} +      

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UIColors

.blueColor() to UIColor.blue

.clearColor() to UIColor.clear

.darkGrayColor() to UIColor.darkGray

.lightGrayColor() to UIColor.lightGray

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Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Objective C                   1089          31528          14773         132248
Swift                          864          19360           8987          75756