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mnist_loader.js
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let mnist = {}; | |
let files = { | |
trainingImages: 'train-images.idx3-ubyte', | |
trainingLabels: 'train-labels.idx1-ubyte', | |
t10kImages: 't10k-images.idx3-ubyte', | |
t10kLabels: 't10k-labels.idx1-ubyte', | |
} | |
function loadMnist() { | |
return Promise.all(Object.keys(files).map(async (key) => { | |
return fetch(files[key]) | |
.then(r => r.arrayBuffer()) | |
.then(buffer => { | |
let headerCount = 4; | |
let headerView = new DataView(buffer, 0, 4 * headerCount); | |
let headers = new Array(headerCount).fill().map((_, i) => headerView.getUint32(4 * i, false)); | |
// Get file type from the magic number | |
let type, dataLength; | |
if(headers[0] == 2049) { | |
type = 'label'; | |
dataLength = 1; | |
headerCount = 2; | |
} else if(headers[0] == 2051) { | |
type = 'image'; | |
dataLength = headers[2] * headers[3]; | |
} else { | |
throw new Error("Unknown file type " + headers[0]) | |
} | |
let data = new Uint8Array(buffer, headerCount * 4); | |
if(type == 'image') { | |
dataArr = []; | |
for(let i = 0; i < headers[1]; i++) { | |
dataArr.push(data.subarray(dataLength * i, dataLength * (i + 1))); | |
} | |
data = dataArr; | |
} | |
mnist[key] = data; | |
}); | |
})).then(() => mnist); | |
} | |
loadMnist().then(console.log).then(() => console.log(mnist.trainingLabels[0], mnist.trainingImages[0])); |
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