Add --eval option

cli/src/cli.ts

@@ -5,6 +5,7 @@ import * as child_process from 'child_process'
 import { program as commander } from "commander"
 import {
     compileModel, compileModelAndFullValidate,
+    evalModel,
     Options, sampleModel, testAllModels,
     testFloatConv
 } from '../..'
@@ -18,6 +19,7 @@ interface CmdOptions {
     testAll?: boolean
     optimize?: boolean
     float16?: boolean
+    eval?: string
 }
 
 let options: CmdOptions
@@ -160,13 +162,19 @@ async function processModelFile(modelFile: string) {
     write(".js", cres.js)
     write(".bin", cres.machineCode)
 
+    if (options.eval) {
+        const ev = evalModel(cres, JSON.parse(fs.readFileSync(options.eval, "utf8")))
+        console.log(`\n*** ${built("model.bin")}\n${ev}`)
+    }
+
     console.log(cres.memInfo)
     console.log(cres.timeInfo)
 
     function write(ext: string, buf: string | Uint8Array) {
         const fn = built("model" + ext)
         const binbuf = typeof buf == "string" ? Buffer.from(buf, "utf8") : buf
-        console.log(`write ${fn} (${binbuf.length} bytes)`)
+        if (!options.eval)
+            console.log(`write ${fn} (${binbuf.length} bytes)`)
         fs.writeFileSync(fn, binbuf)
     }
 }
@@ -174,6 +182,9 @@ async function processModelFile(modelFile: string) {
 export async function mainCli() {
     // require('@tensorflow/tfjs-node');
 
+    // shut up warning
+    (tf.backend() as any).firstUse = false;
+
     const pkg = require("../../package.json")
     commander
         .version(pkg.version)
@@ -184,6 +195,7 @@ export async function mainCli() {
         .option("-t, --test-data", "include test data in binary model")
         .option("-T, --test-all", "test all included sample models")
         .option("-s, --sample-model <name>", "use an included sample model")
+        .option("-e, --eval <file.json>", "evaluate model on given test data")
         .option("-o, --output <folder>", "path to store compilation results (default: 'built')")
         .arguments("<model>")
         .parse(process.argv)

src/testing.ts

@@ -200,4 +200,61 @@ export async function testAllModels(opts: Options) {
         await compileModelAndFullValidate(m, opts)
     }
     console.log(`\n*** All OK (${Date.now() - t0}ms)\n`)
+}
+
+export type EvalSample = number | number[] | number[][] | number[][][]
+export interface EvalData {
+    x: EvalSample[]
+    y: number[][]
+}
+
+function flattenSample(s: EvalSample) {
+    const res: number[] = []
+    const rec = (v: any) => {
+        if (Array.isArray(v))
+            v.forEach(rec)
+        else if (typeof v == "number")
+            res.push(v)
+        else
+            throw new Error("invalid input")
+    }
+    rec(s)
+    return res
+}
+
+function argmax(r: ArrayLike<number>) {
+    let maxI = 0
+    let max = r[0]
+    for (let i = 1; i < r.length; ++i) {
+        if (r[i] > max) {
+            max = r[i]
+            maxI = i
+        }
+    }
+    return maxI
+}
+
+export function evalModel(cres: CompileResult, data: EvalData) {
+    let numOK = 0
+    const dim = data.y[0].length
+    const confusion = U.range(dim).map(_ => U.range(dim).map(_ => 0))
+    for (let i = 0; i < data.x.length; ++i) {
+        const predProb = cres.execute(flattenSample(data.x[i]))
+        const pred = argmax(predProb)
+        const ok = argmax(data.y[i])
+        confusion[pred][ok]++
+        if (pred == ok) numOK++
+    }
+
+    let r = ""
+
+    r += `Accuracy: ${(numOK / data.x.length).toFixed(4)}\n`
+    for (let i = 0; i < dim; i++) {
+        for (let j = 0; j < dim; j++) {
+            r += ("     " + confusion[i][j]).slice(-5)
+        }
+        r += "\n"
+    }
+
+    return r
 }