optimize deeplearn.min.js and random generation (#188)

Author: dsmilkov

package.json

@@ -32,7 +32,7 @@
     "tslint": "~5.6.0",
     "tslint-no-circular-imports": "~0.2.0",
     "typedoc": "~0.8.0",
-    "typescript": "2.4.2",
+    "typescript": "2.5.3",
     "uglify-js": "~3.0.28",
     "watchify": "~3.9.0"
   },

scripts/build-standalone.sh

@@ -16,5 +16,5 @@
 rm -rf dist/ && \
 npm run prep && \
 node_modules/.bin/browserify --standalone deeplearn src/index.ts -p [tsify] > dist/deeplearn.js && \
-node_modules/.bin/uglifyjs dist/deeplearn.js > dist/deeplearn.min.js && \
+node_modules/.bin/uglifyjs dist/deeplearn.js -c -m -o dist/deeplearn.min.js && \
 echo "Stored standalone library at dist/deeplearn(.min).js"

src/math/math_cpu.ts

@@ -994,8 +994,7 @@ export class NDArrayMathCPU extends NDArrayMath {
     for (let event = 1; event < cdf.length; ++event) {
       cdf[event] = cdf[event - 1] + probVals[event];
     }
-
-    const random = seedrandom(seed.toString());
+    const random = seedrandom.alea(seed.toString());
     const res = new Float32Array(numSamples);
 
     for (let i = 0; i < numSamples; ++i) {