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g++ main.cc -std=c++17 && ./a.out

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MIT License

Copyright (c) <year> <copyright holders>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE S

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blueprint:
  name: Close Blinds At Sunset
  description: Blinds will be closed at sunset
  domain: automation
  input:
    target_blind:
      name: Blinds
      description: This is the blind (or blinds) that will be closed at sunset
      selector:
        target:

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// A simple quickref for Eigen. Add anything that's missing.
// Main author: Keir Mierle

#include <Eigen/Dense>

Matrix<double, 3, 3> A;               // Fixed rows and cols. Same as Matrix3d.
Matrix<double, 3, Dynamic> B;         // Fixed rows, dynamic cols.
Matrix<double, Dynamic, Dynamic> C;   // Full dynamic. Same as MatrixXd.
Matrix<double, 3, 3, RowMajor> E;     // Row major; default is column-major.
Matrix3f P, Q, R;                     // 3x3 float matrix.

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import tensorflow as tf
import numpy as np

BATCH = 2
NUM_EPOCHS = 25


"""
ResNet50 is implemented here:
https://github.com/tensorflow/tensorflow/blob/bd754067dac90182d883f621b775d76ec7c6b87d/tensorflow/python/eager/benchmarks/resnet50/resnet50.py#L1

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% sudo pip install s3cmd

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# get os info
uname -as
# get compiler info
g++ --version
# check python library versions
pip list 2>&1 | grep "proto\|numpy\|tensorflow"
# get TensorFlow information
cat <<EOF > /tmp/check_tf.py
import tensorflow as tf;
print("path = %s" % tf.__file__)

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/* Note: this Google copyright notice only applies to the original file, which has large sections copy-pasted here. my changes are under CC0 (public domain).

 * Copyright 2015 Google Inc.
 *
 * Use of this source code is governed by a BSD-style license that can be
 * found in the LICENSE file.
 */

/*
this is intended as a second-resort, after trying to build using the official instructions inevitably fails because of poor documentation and strange build systems.

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// Patrick Wieschollek <mail@patwie.com>, 2018

#ifndef LIB_CUDA_INDEX_H_
#define LIB_CUDA_INDEX_H_

#include <array>

namespace cuda_index {

namespace impl {

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#! /usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Patrick Wieschollek <mail@patwie.com>


from tensorpack import *
from tensorpack.dataflow.base import DataFlow
from tensorpack.dataflow.dftools import LMDBDataWriter, TFRecordDataWriter, NumpyDataWriter, HDF5DataWriter
from tensorpack.dataflow.format import LMDBDataReader, TFRecordDataReader, NumpyDataReader, HDF5DataReader
import os