rfdickerson

@jit
def forward(state):
  return forward_ik(state["angles"], state["lengths"])

@jit
def checker(state):
  end_location = forward(state)
  distance = jnp.linalg.norm(end_location - state["target"])
  return distance > 0.00001

rfdickerson

@jit
def forward_ik(angles, lengths):
  x = jnp.cos(angles)
  y = jnp.sin(angles)
  d = jnp.stack([x,y], axis=0)
  return jnp.dot(d, lengths)

@jit
def forward(state):
  return forward_ik(state["angles"], state["lengths"])

rfdickerson

import numpy as np


# forward kinematics
def forward(theta, l):
    ex = np.dot(l, np.cos(theta))
    ey = np.dot(l, np.sin(theta))
    return np.array([ex, ey])

rfdickerson

job "toaster-mnist" {
    datacenters = ["us-aep-1-prod-multipaas-1"]
    type = "batch"

    group "toaster-mnist-group" {

        task "toaster-mnist-task" {

            driver = "docker"

rfdickerson

cmake -D CMAKE_BUILD_TYPE=RELEASE \
        -D CMAKE_INSTALL_PREFIX=/usr/local \
        -D INSTALL_PYTHON_EXAMPLES=ON \
        -D WITH_CUDA=ON \
        -D ENABLE_FAST_MATH=1 \
        -D CUDA_FAST_MATH=1 \
        -D WITH_CUBLAS=1 \
        -D INSTALL_C_EXAMPLES=OFF \
        -D OPENCV_ENABLE_NONFREE=ON \
        -D OPENCV_EXTRA_MODULES_PATH=~/Libraries/opencv_contrib-4.0.1/modules \

rfdickerson

#include <iostream>
#include <algorithm>
#include <vector>
#include <iterator>
#include <memory>

using namespace std;

typedef vector<float> Point;

rfdickerson

name: travelbug
channels:
- anaconda
- conda-forge
- defaults
dependencies:
- pandas
- pyarrow
- arrow-cpp
- parquet-cpp

rfdickerson

\documentclass{amsart}
\usepackage{amssymb}

\usepackage[no-math]{fontspec}
%\usepackage[mathlf,footnotefigures]{MinionPro}

\usepackage{amsmath}
\usepackage{MnSymbol}
\usepackage[USenglish]{babel}

rfdickerson

width = 1024;
height = 1024;

numpixels = width * height;

 

x = linspace(-1, 1, width);
y = linspace(-1, 1, height);

rfdickerson

from datetime import datetime
import tensorflow as tf

now = datetime.utcnow().strftime("%Y%m%d%H%M%S")
root_logdir = "tf_logs"
logdir = "{}/run-{}/".format(root_logdir, now)

n_epochs = 20
time_step = 0.1