diff --git a/TensorFlow/tf1pi.html b/TensorFlow/tf1pi.html
new file mode 100644
index 0000000000000000000000000000000000000000..e8e0513a2c741e24dc6652d7775d8266b24a48bd
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+++ b/TensorFlow/tf1pi.html
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+<html>
+<body>
+<script src=tf.min.js></script>
+<script>
+//
+// tfpi.html
+// Neil Gershenfeld 11/18/18
+// Nikhil Thorat 11/20/18
+// TensorFlow.js pi calculation benchmark
+// pi = 3.14159265358979323846
+//
+const points = 1e7
+const a = tf.scalar(0.5)
+const b = tf.scalar(0.75)
+const c = tf.scalar(0.25)
+
+function f() {
+ const index = tf.range(1,points)
+ return tf.sum(tf.div(a,tf.mul(index.sub(b),index.sub(c)))).dataSync();
+}
+// Warmup
+f();
+
+const tstart = performance.now()/1000
+const sum = f();
+const tend = performance.now()/1000
+const mflops = points*5.0*1e-6/(tend-tstart);
+document.write('pi: '+sum.toString())
+document.write('<br>')
+document.write('time: '+(tend-tstart)+'s')
+document.write('<br>')
+document.write('estimated MFlops: '+mflops)
+</script>
+
diff --git a/TensorFlow/tf2pi.html b/TensorFlow/tf2pi.html
new file mode 100644
index 0000000000000000000000000000000000000000..f1c5097686501792e3fa36b57725aa9307cd357b
--- /dev/null
+++ b/TensorFlow/tf2pi.html
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+<html>
+<body>
+<script src=tf.min.js></script>
+<script>
+//
+// tfpi.html
+// Neil Gershenfeld 11/18/18
+// Nikhil Thorat 11/20/18
+// TensorFlow.js pi calculation benchmark
+// pi = 3.14159265358979323846
+//
+const points = 1e7
+const a = tf.scalar(0.5)
+const b = tf.scalar(0.75)
+const c = tf.scalar(0.25)
+
+const indexSubProgram = {
+ variableNames: ['X'],
+ outputShape: [points],
+ userCode: `
+ void main() {
+ float x = getX();
+ int i = getOutputCoords();
+ float value = float(i) - x;
+ setOutput(value);
+ }
+ `
+}
+function indexSub(x) {
+ return tf.ENV.backend.compileAndRun(indexSubProgram, [x]);
+}
+
+function f(index) {
+ // const index = tf.range(1,points)
+ return tf.sum(tf.div(a,tf.mul(indexSub(b),indexSub(c)))).dataSync();
+}
+
+// Warmup
+f()
+
+const tstart = performance.now()/1000
+//const sum = tf.range(1,points)
+const sum = f()
+//const sum = f();
+const tend = performance.now()/1000
+const mflops = points*5.0*1e-6/(tend-tstart);
+document.write('pi: '+sum.toString())
+document.write('<br>')
+document.write('time: '+(tend-tstart)+'s')
+document.write('<br>')
+document.write('estimated MFlops: '+mflops)
+</script>
+