saulshanabrook

 digraph{    
    node[shape=plaintext,color=none]
    //   splines=polyline
    // concentrate=true
    nodesep=0.3
    //   layout=dagre
    edge[penwidth=1,arrowsize=0.6]
  
  
  

saulshanabrook

 digraph{    
      node[shape=plaintext]
        compound=true;
        keras->"tensorflow python"->"tensorflow graph"->"xla hlo"->"tpu ir"->tpu
        "tensorflow eager" -> "tensorflow graph" -> tflite -> "tflite interpreter"->{cpu gpu}
        keras->"plaid ml"->{cpu gpu}
        "tensorflow graph"-> "tensorRT(nvidia)"->gpu
        "tensorflow graph"-> "ngraph(intel)"->"plaid ml"
        subgraph cluster_llvm {
            llvm "xla runtime" "Glow Runtime" "ATen" "numpy capi" xnd

saulshanabrook

type Middleware<A, B, C, D> = Fn<A, [B, Fn<C, D>] | null>;

function applyMiddleware<A, B, C, D>(
  middleware: Middleware<A, B, C, D>,
  b_c: Fn<B, C>
): Fn<A, D | null> {
  return a => {
    const res = middleware(a);
    if (!res) {
      return null;

saulshanabrook

function handleNull<A, B, C, D>(middleware: Middleware<A, B, C, D>)

function applyMiddleware<A, B, C, D>(
  middleware: Middleware<A, B, C, D>,
  b_c: Fn<B, C>
): Fn<A, D | null> {
  return a => {
    const  res = middleware(a);

saulshanabrook

export const INVALID = Symbol("INVALID");

/**
 * Is able to optionally parse from type T to U
 * and then create U from T.
 *
 * The idea is that these functions are inverses of each other:
 *
 *     parser.create(parser.parse(t)) == t
 *

saulshanabrook

  {
  "config": {"view": {"width": 400, "height": 300}, "mark": {"tooltip": null}},
  "data": {"name": "data-2ec47c823e6aebe675c9e913a8f3b032"},
  "mark": "rect",
  "encoding": {
    "color": {"type": "quantitative", "aggregate": "count"},
    "x": {
      "type": "quantitative",
      "bin": {"binned": true},
      "field": "bin_x",

saulshanabrook

{
  "config": {"view": {"width": 400, "height": 300}, "mark": {"tooltip": null}},
  "data": {"name": "data-c8d131caa71f8e80b7117ed5b5fdc060"},
  "mark": "rect",
  "encoding": {
    "color": {"type": "quantitative", "aggregate": "count"},
    "x": {
      "type": "quantitative",
      "bin": {"binned": true},
      "field": "bin_x",

saulshanabrook

const addSubscriber = assign({
  subscribers: (context, event) => context.subscribers + 1
});

const removeSubscriber = assign({
  subscribers: (context, event) => context.subscribers - 1
});

saulshanabrook

saulshanabrook

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "autosize": "pad",
  "padding": 5,
  "height": 300,
  "style": "cell",
  "data": [
    {
      "name": "6132438473295640038",
      "transform": [{"type": "queryibis", "name": "6132438473295640038"}]