Rafael Nunes peaonunes

ServiceWorker code to cache TensorFlow model shards.

One of the problems I have when testing giant TensorFlow models in TensorFlow.js is that they're huge (like 500 MB) and they take forever to download, every time I refresh the page. This is how I setup my ServiceWorker code so that at least in testing I only have to download the model once, and then it's saved in the cache for the next time.

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

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	if (urlEncode) {
	const searchParams = new URLSearchParams(formData)

	return searchParams.toString();
	}

	const serializedFormData = {};