Thiago P. Bueno thiagopbueno

Tips

Pass numeric arguments as tf.Tensor objects (to avoid building new graphs and unnecessary retracing)
Beware of hidden side effects
Pay attention to undefined values (special care with if/else statements and assymetric returns)
Pay attention to lexical/dynamical scopes
Do not create object attributes inside autographed functions (mutations lead to undefs)
Avoid using Python lists; prefer tf.TensorArray
To accumulate results from a dynamically unrolled loop, use tf.TensorArray
Use tf.TensorSpec(shape=..., dtype=...) in input_signature to avoid proliferation of graphs

import os
os.environ['CUDA_VISIBLE_DEVICES'] = '-1' # ignore GPUs

Run in the project virtualenv:

$ pip3 install Sphinx

Run in docs/ folder.

	import matplotlib

	# http://phyletica.org/matplotlib-fonts/
	matplotlib.rcParams['pdf.fonttype'] = 42
	matplotlib.rcParams['ps.fonttype'] = 42
	matplotlib.rcParams['text.usetex'] = True

	# https://nerdjusttyped.blogspot.com/2010/07/type-1-fonts-and-matplotlib-figures.html
	matplotlib.rcParams['ps.useafm'] = True
	matplotlib.rcParams['pdf.use14corefonts'] = True

	import os
	from setuptools import setup, find_packages


	def read(filename):
	filepath = os.path.join(os.path.dirname(__file__), filename)
	file = open(filepath, 'r')
	return file.read()

	CC=g++
	CCFLAGS=-Wall -Wextra -ansi -pedantic -std=c++11

	CUDD=/usr/local/CUDD/cudd-3.0.0

	INCLUDE=-I$(CUDD)/cudd -I$(CUDD)/cplusplus
	LIBS=$(CUDD)/cudd/.libs/libcudd.a

	cudd: main.o
	$(CC) -o $@ $^ $(LIBS)