...視圖上。對應(yīng)到代碼上,就是一個(gè) diff 函數(shù),返回一個(gè) patches (補(bǔ)?。?。 const before = h(div, {}, before text) const after = h(div, {}, after text) const patches = diff(before, after) 修改我們之前的組件,增加 setState 方法,用于修改組件的內(nèi)...
...(() => tick(el, initialCount), 1000) } function tick(el, count) { const patches = diff(view(count + 1), view(count)) patch(el, patches) if(count > 5) { return } setTimeout(() => tick(el, ...
...體代碼結(jié)構(gòu)是: var newVnode = render(vnode, state) var oldVnode = patch(oldVnode, newVnode) state.dispatch(change) var newVnode = render(vnode, state) var oldVnode = patch(oldVnode, newVnode) virtual dom...
...順序 let index = 0 // 在遍歷過程中記錄節(jié)點(diǎn)的差異 let patches = {} // 深度優(yōu)先遍歷兩棵樹 deepTraversal(oldTree, newTree, index, patches) // 得到的差異對象返回出去 return patches } function deepTraversal(oldNode, newNod...
...概如下:從給定的很多張自然圖片中截取出大小為8*8的小patches圖片共10000張,現(xiàn)在需要用sparse autoencoder的方法訓(xùn)練出一個(gè)隱含層網(wǎng)絡(luò)所學(xué)習(xí)到的特征。該網(wǎng)絡(luò)共有3層,輸入層是64個(gè)節(jié)點(diǎn),隱含層是25個(gè)節(jié)點(diǎn),輸出層當(dāng)然也是64個(gè)...
...節(jié)點(diǎn)就把改節(jié)點(diǎn)和新的數(shù)進(jìn)行對比,如果有差異就記錄到patches中 // diff 函數(shù),對比兩棵樹 function diff (oldTree, newTree) { let index = 0 // 當(dāng)前節(jié)點(diǎn)的標(biāo)志 let patches = {} // 用來記錄每個(gè)節(jié)點(diǎn)差異的對象 dfsWalk(oldTree, newTree, index, patches)...
...n diff (oldTree, newTree) { var index = 0 // 當(dāng)前節(jié)點(diǎn)的標(biāo)志 var patches = {} // 用來記錄每個(gè)節(jié)點(diǎn)差異的對象 dfsWalk(oldTree, newTree, index, patches) return patches } // 對兩棵樹進(jìn)行深度優(yōu)先遍歷 function dfsWalk (oldNode,...
...f(oldTree, newTree) { var index = 0 // 當(dāng)前節(jié)點(diǎn)的標(biāo)志 var patches = {} // 記錄每個(gè)節(jié)點(diǎn)差異的地方 dfsWalk(oldTree, newTree, index, patches) return patches } function dfsWalk(oldNode, newNode, index,...
ChatGPT和Sora等AI大模型應(yīng)用,將AI大模型和算力需求的熱度不斷帶上新的臺階。哪里可以獲得...
大模型的訓(xùn)練用4090是不合適的,但推理(inference/serving)用4090不能說合適,...
圖示為GPU性能排行榜,我們可以看到所有GPU的原始相關(guān)性能圖表。同時(shí)根據(jù)訓(xùn)練、推理能力由高到低做了...