Merge pull request #311 from ente-io/release-v1.6.62

Release v1.6.62
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NullPointer 2024-01-18 11:46:37 +05:30 committed by GitHub
commit 9c575ecaa4
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5 changed files with 18 additions and 4 deletions

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@ -1,6 +1,6 @@
# CHANGELOG # CHANGELOG
## v1.6.61 ## v1.6.62
### New ### New

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@ -1,7 +1,7 @@
{ {
"name": "ente", "name": "ente",
"productName": "ente", "productName": "ente",
"version": "1.6.61", "version": "1.6.62",
"private": true, "private": true,
"description": "Desktop client for ente.io", "description": "Desktop client for ente.io",
"main": "app/main.js", "main": "app/main.js",

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@ -267,11 +267,18 @@ export async function computeONNXImageEmbedding(
): Promise<Float32Array> { ): Promise<Float32Array> {
try { try {
const imageSession = await getOnnxImageSession(); const imageSession = await getOnnxImageSession();
const t1 = Date.now();
const rgbData = await getRGBData(inputFilePath); const rgbData = await getRGBData(inputFilePath);
const feeds = { const feeds = {
input: new ort.Tensor('float32', rgbData, [1, 3, 224, 224]), input: new ort.Tensor('float32', rgbData, [1, 3, 224, 224]),
}; };
const t2 = Date.now();
const results = await imageSession.run(feeds); const results = await imageSession.run(feeds);
log.info(
`onnx image embedding time: ${Date.now() - t1} ms (prep:${
t2 - t1
} ms, extraction: ${Date.now() - t2} ms)`
);
const imageEmbedding = results['output'].data; // Float32Array const imageEmbedding = results['output'].data; // Float32Array
return normalizeEmbedding(imageEmbedding); return normalizeEmbedding(imageEmbedding);
} catch (err) { } catch (err) {
@ -336,12 +343,19 @@ export async function computeONNXTextEmbedding(
): Promise<Float32Array> { ): Promise<Float32Array> {
try { try {
const imageSession = await getOnnxTextSession(); const imageSession = await getOnnxTextSession();
const t1 = Date.now();
const tokenizer = getTokenizer(); const tokenizer = getTokenizer();
const tokenizedText = Int32Array.from(tokenizer.encodeForCLIP(text)); const tokenizedText = Int32Array.from(tokenizer.encodeForCLIP(text));
const feeds = { const feeds = {
input: new ort.Tensor('int32', tokenizedText, [1, 77]), input: new ort.Tensor('int32', tokenizedText, [1, 77]),
}; };
const t2 = Date.now();
const results = await imageSession.run(feeds); const results = await imageSession.run(feeds);
log.info(
`onnx text embedding time: ${Date.now() - t1} ms (prep:${
t2 - t1
} ms, extraction: ${Date.now() - t2} ms)`
);
const textEmbedding = results['output'].data; // Float32Array const textEmbedding = results['output'].data; // Float32Array
return normalizeEmbedding(textEmbedding); return normalizeEmbedding(textEmbedding);
} catch (err) { } catch (err) {

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@ -200,7 +200,7 @@ export async function buildMenuBar(mainWindow: BrowserWindow): Promise<Menu> {
}, },
{ type: 'separator' }, { type: 'separator' },
{ {
label: 'View Crash Reports', label: 'View crash reports',
click: () => { click: () => {
shell.openPath(app.getPath('crashDumps')); shell.openPath(app.getPath('crashDumps'));
}, },

2
ui

@ -1 +1 @@
Subproject commit 9fbcf55e4e60e3a6a6b388c7ed897599b9aac06d Subproject commit b6c041b4aa2a0bbe0a3d972faca556c7524335ad