/** * @file 工具类 * @author yangmingming */ /* eslint-disable */ export default { // todo: 适用2维矩阵乘法,以后实现通用版本 getReshapeInPaddle(inputShape = [], counterShape = [], outShape = []) { let total = inputShape.reduce((all, num) => all * num); if (outShape.length === 1) { return [1, total]; } else { return [outShape[0], total / outShape[0]]; } }, getBroadcastShapeInPaddle(shapeA= [], shapeB = [], axis = 1) { // todo: 简易版本,以后需要实现一个通用版本 let bigger = shapeA; let result = shapeB; if (shapeA.length - shapeB.length < 0) { bigger = shapeB; result = shapeA; } return result.concat(bigger.slice(axis)); }, getBroadcastDims(inShape = [], outShape = []) { const inRank = inShape.length; const dims = []; for (let i = 0; i < inRank; i++) { const dim = inRank - 1 - i; const a = inShape[dim] || 1; const b = outShape[outShape.length - 1 - i] || 1; if (b > 1 && a === 1) { dims.unshift(dim); } } return dims; }, getBroadcastShape(shapeA = [], shapeB = []) { const result = []; const max = Math.max(shapeA.length, shapeB.length); for (let i = 0; i < max; i++) { let a = shapeA[shapeA.length - i - 1]; if (a === null) { a = 1; } let b = shapeB[shapeB.length - i - 1]; if (b === null) { b = 1; } if (a === 1) { result.unshift(b); } else if (b === 1) { result.unshift(a); } else if (a !== b) { return null; } else { result.unshift(a); } } return result; }, applyFilterWinograd(data, shape) { const [b, c, h, w] = shape; let offset = 0; let index = 0; const result = new Float32Array(b * c * 16); // h和w是3、3 const size2D = 9; for (let i = 0; i < b; i++) { // let index = i * c * size2D; for (let j = 0; j < c; j++) { // index += j * size2D; const filter = data.subarray(index, index + size2D); const [f11, f12, f13, f21, f22, f23, f31, f32, f33] = filter; const square = [ f11, 0.5 * f11 + 0.5 * f12 + 0.5 * f13, 0.5 * f11 - 0.5 * f12 + 0.5 * f13, f13, 0.5 * f11 + 0.5 * f21 + 0.5 * f31, 0.25 * f11 + 0.25 * f12 + 0.25 * f13 + 0.25 * f21 + 0.25 * f22 + 0.25 * f23 + 0.25 * f31 + 0.25 * f32 + 0.25 * f33, 0.25 * f11 - 0.25 * f12 + 0.25 * f13 + 0.25 * f21 - 0.25 * f22 + 0.25 * f23 + 0.25 * f31 - 0.25 * f32 + 0.25 * f33, 0.5 * f13 + 0.5 * f23 + 0.5 * f33, 0.5 * f11 - 0.5 * f21 + 0.5 * f31, 0.25 * f11 + 0.25 * f12 + 0.25 * f13 - 0.25 * f21 - 0.25 * f22 - 0.25 * f23 + 0.25 * f31 + 0.25 * f32 + 0.25 * f33, 0.25 * f11 - 0.25 * f12 + 0.25 * f13 - 0.25 * f21 + 0.25 * f22 - 0.25 * f23 + 0.25 * f31 - 0.25 * f32 + 0.25 * f33, 0.5 * f13 - 0.5 * f23 + 0.5 * f33, f31, 0.5 * f31 + 0.5 * f32 + 0.5 * f33, 0.5 * f31 - 0.5 * f32 + 0.5 * f33, f33 ]; result.set(square, offset); offset += 16; index += size2D; } } return result; }, /** * 获取texture形状和补0个数 * @param shape {Array} tensor的形状 * @return {{shape: *[], zeroNumber: number}} {Object} texture信息 */ getTextureInfoFromTensorShape(shape = [], isPacked = false) { let b = shape[0]; let c = shape[1]; let h = shape[2]; let w = shape[3]; let height = b * h; let width = c * w; let offsetX = 0; let offsetY = 0; // 安卓和ios的max texture size是4096, 改造存储空间(2bh, cw / 2) let exceedMax = false; // FIXME:为了让mobilenet能正常执行,这里先注释掉,待群哥修复 // if (height > MAX_TEXTURE_SIZE || width > MAX_TEXTURE_SIZE) { // height *= 2; // width = c * (Math.ceil(w / 2)); // exceedMax = true; // } if (isPacked) { // 紧凑布局 height = b * c * Math.ceil(h / 2); width = Math.ceil(w / 2); offsetX = w % 2; offsetY = h % 2; } return { offsetX, offsetY, exceedMax, shape: [4, height, width], zeroNumber: 0 }; }, // 获取数组中的最大值和索引 getMaxItem(datas = []) { let max = Math.max.apply(null, datas); let index = datas.indexOf(max); return {value: max, index}; }, // 压缩 async loadShader(name) { let shader = await fetch(this.getShaderFile(name)); return shader.text(); }, getShaderFile(url) { // todo: 根据脚手架获取shader文件 const aa = url.split('/'); let length = aa.length; return '/' + aa[length - 1]; }, img2texture(renderData = {}) { const {height_texture, width_texture, shape} = renderData; const total = height_texture * width_texture * 4; const b = shape[0]; const c = shape[1]; const h = shape[2]; const w = shape[3]; let data = new Float32Array(b * c * h * w * 4); let offset = 0; for (let i = 0; i < total; i++) { let j = (i / (c * w)) | 0; let k = i % (c * w); let b1 = j / h | 0; let h1 = j % h; let c1 = k % c; let w1 = k / c | 0; let l = b1 * (c * h * w) + c1 * (h * w) + h1 * (w) + w1; data[offset] = renderData.data[l]; offset += 4; // data.push(renderData.data[l]); // data.push(0); // data.push(0); // data.push(0); } renderData.data = data; }, /* * 将shape扩充到4维,在shape前补1 */ padToFourDimShape(shape) { let fourDimShape = []; if (shape.length == 4) { fourDimShape = shape; } else if (shape.length < 4) { for (let i = 0; i < 4 - shape.length; i++) { fourDimShape.push(1); } fourDimShape = fourDimShape.concat(shape); } return fourDimShape; }, /* * 将nhwc排布数据转为nchw排布数据 */ nhwc2nchw(data, shape) { let N = shape[0]; let H = shape[1]; let W = shape[2]; let C = shape[3]; let WXC = W * C; let HXWXC = H * W * C; let nchwData = []; for (let n = 0; n < N; n++) { for (let c = 0; c < C; c++) { for (let h = 0; h < H; h++) { for (let w = 0; w < W; w++) { nchwData.push(data[n * HXWXC + h * WXC + w * C + c]); } } } } return nchwData; }, /* * 将nchw排布数据转为nhwc排布数据 */ nchw2nhwc(data, shape) { let N = shape[0]; let C = shape[1]; let H = shape[2]; let W = shape[3]; let HXW = H * W; let CXHXW = C * H * W; let nhwcData = []; for (let n = 0; n < N; n++) { for (let h = 0; h < H; h++) { for (let w = 0; w < W; w++) { for (let c = 0; c < C; c++) { nhwcData.push(data[n * CXHXW + c * HXW + h * W + w]); } } } } return nhwcData; }, /* * 等距间隔打印数据 */ stridePrint(data, count = 20) { let realPrintCount = count; if (data.length <= realPrintCount) { this.continuousPrint(data, realPrintCount); return; } let numbers = []; let stride = Math.floor(data.length / realPrintCount); if (stride == 0) { stride = 1; } realPrintCount = Math.floor(data.length / stride) for (let i = 0; i < realPrintCount; i++) { numbers.push(i * stride + ": " + data[i * stride]); } console.log(numbers) }, /* * 连续打印数据 */ continuousPrint(data, count = 100) { let numbers = []; let realPrintCount = count; if (data.length <= realPrintCount) { realPrintCount = data.length; } for (let i = 0; i < realPrintCount; i++) { numbers.push(i + ": " + data[i]); } console.log(numbers) }, softmax(nchwData) { let result = new Float32Array(nchwData.length); let maxValue = nchwData[0]; let tempValue = 0.0; let sumValue = 0.0; for (let i = 1; i < nchwData.lenght; i++) { tempValue = nchwData[i]; if (maxValue < tempValue) { maxValue = tempValue; } } for (let i = 0; i < nchwData.length; i++) { tempValue = Math.exp(nchwData[i] - maxValue); result[i] = tempValue; sumValue = sumValue + tempValue; } for (let i = 0; i < nchwData.length; i++) { result[i] = result[i] / sumValue; } return result; } }; /* eslint-enable */