mjstevens777

Setup

Let's say we have a Dockerfile with 3 basic stages:

• 3 base layers of an Ubuntu image. These basically never change.
• 5 intermediate layers of installing apt/python dependencies. These only change when we want to update our packages.
• 2 final layers of copying and building our source code. These change every build.

When we change our packages we create a new group of intermediate layers. Let's say that this is our scenario for when we change our packages:

group number	number of builds	description

mjstevens777

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import SpectralClustering

# Download https://www.hindustantimes.com/static/iframes/language_probability_map/data.csv
df = pd.read_csv('data.csv', index_col=0)

mjstevens777

---
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-addon: cluster-autoscaler.addons.k8s.io
    k8s-app: cluster-autoscaler
  name: cluster-autoscaler
  namespace: kube-system
---

mjstevens777

"""
Copyright 2018 Matt Stevens. See license at end of file.
Defines the BilinearConvTranspose2d class.
"""
import torch
import torch.nn as nn


class BilinearConvTranspose2d(nn.ConvTranspose2d):
    """A conv transpose initialized to bilinear interpolation."""