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[AI DIY] general python import statements in jupyter #python #jupyter
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from graphviz import Digraph | |
def trace(root): | |
# builds a set of all nodes and edges in a graph | |
nodes,edges = set(), set() | |
def build(v): | |
if v not in nodes: | |
nodes.add(v) | |
for child in v._prev: | |
edges.add((child, v)) | |
build(child) | |
build(root) | |
return nodes, edges | |
def draw_dot(root): | |
dot = Digraph(format='svg', graph_attr={'rankdir': 'LR'}) # LR = left to right | |
nodes, edges = trace(root) | |
for n in nodes: | |
uid = str(id(n)) | |
# for any value in the graph, create a rectangular ('record') node for it | |
dot.node(name = uid, label = "{ %s | data %.4f }" % (n.label, n.data), shape = 'record') | |
if n._op: | |
# if this value is a result of some operation, create an op node for it | |
dot.node(name = uid + n._op, label = n._op) | |
# and connect this node to it | |
dot.edge(uid + n._op, uid) | |
for n1, n2 in edges: | |
# connect n1 to the op node of n2 | |
dot.edge(str(id(n1)), str(id(n2)) + n2._op) | |
return dot |
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import math | |
import random | |
import numpy as np | |
import matplotlib.pyplot as plt | |
%matplotlib inline |
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