/// import * as tf from "@tensorflow/tfjs"; // import * as tf from "@tensorflow/tfjs-node"; import { Float32 } from "./float_point_like_cpp"; import { Rank } from "@tensorflow/tfjs-core"; import { Atom, TypeInfo } from "./grid_types"; import * as fs from "fs"; export class GridMaker { private resolution: Float32; private dimension: number; private radiusMultiple: Float32; private gaussianResolution: Float32; private gridOrigin: { x: Float32; y: Float32; z: Float32 } | null = null; private center: { x: Float32; y: Float32; z: Float32 } | null = null; constructor( resolution: number, dimension: number, radiusMultiple = 1.5, gaussianResolution = 0.5, center?: { x: number; y: number; z: number } ) { this.resolution = new Float32(resolution); this.dimension = dimension; this.radiusMultiple = new Float32(radiusMultiple); this.gaussianResolution = new Float32(gaussianResolution); if (center) { this.center = { x: new Float32(center.x), y: new Float32(center.y), z: new Float32(center.z), }; } } makeGrid(atoms: Atom[], typeInfo: TypeInfo[]): tf.Tensor4D { const gridCenter = this.center || this.calculateGridCenter(atoms); this.gridOrigin = { x: Float32.subtract( gridCenter.x, Float32.multiply( new Float32(this.dimension / 2), this.resolution ) ), y: Float32.subtract( gridCenter.y, Float32.multiply( new Float32(this.dimension / 2), this.resolution ) ), z: Float32.subtract( gridCenter.z, Float32.multiply( new Float32(this.dimension / 2), this.resolution ) ), }; const grid: tf.TensorBuffer = tf.buffer( [typeInfo.length, this.dimension, this.dimension, this.dimension], "float32" ) as tf.TensorBuffer; atoms.forEach((atom) => { const typeData = typeInfo[atom.type]; const radius = Float32.multiply( new Float32(typeData.radius), this.radiusMultiple ); this.addAtomToGrid(atom, radius, this.gridOrigin, grid); }); return grid.toTensor() as tf.Tensor4D; } exportGridChannelToDX( grid: tf.Tensor4D, channel: number, filename: string ): void { if (!this.gridOrigin) { throw new Error( "Grid origin is not set. Make sure to call makeGrid before exporting." ); } const [numChannels, dimX, dimY, dimZ] = grid.shape; if (channel < 0 || channel >= numChannels) { throw new Error( `Invalid channel number. Must be between 0 and ${ numChannels - 1 }.` ); } const gridData = grid .slice([channel, 0, 0, 0], [1, dimX, dimY, dimZ]) .reshape([dimX, dimY, dimZ]); const gridValues = gridData.dataSync(); const header = `object 1 class gridpositions counts ${dimX} ${dimY} ${dimZ} origin ${this.gridOrigin.x.toNumber()} ${this.gridOrigin.y.toNumber()} ${this.gridOrigin.z.toNumber()} delta ${this.resolution.toNumber()} 0 0 delta 0 ${this.resolution.toNumber()} 0 delta 0 0 ${this.resolution.toNumber()} object 2 class gridconnections counts ${dimX} ${dimY} ${dimZ} object 3 class array type double rank 0 items ${dimX * dimY * dimZ} data follows `; let dxContent = header; for (let i = 0; i < gridValues.length; i++) { dxContent += gridValues[i].toFixed(6) + " "; if ((i + 1) % 3 === 0) { dxContent += "\n"; } } fs.writeFileSync(filename, dxContent); console.log(`DX file exported to ${filename}`); } private calculateGridCenter(atoms: Atom[]): { x: Float32; y: Float32; z: Float32; } { let sumX = new Float32(0); let sumY = new Float32(0); let sumZ = new Float32(0); atoms.forEach((atom) => { sumX = Float32.add(sumX, new Float32(atom.x)); sumY = Float32.add(sumY, new Float32(atom.y)); sumZ = Float32.add(sumZ, new Float32(atom.z)); }); const count = new Float32(atoms.length); return { x: Float32.divide(sumX, count), y: Float32.divide(sumY, count), z: Float32.divide(sumZ, count), }; } private addAtomToGrid( atom: Atom, radius: Float32, gridOrigin: { x: Float32; y: Float32; z: Float32 }, grid: tf.TensorBuffer ) { const radiusGridUnits = Float32.divide(radius, this.resolution); const minX = Math.max( 0, Math.floor( Float32.subtract( Float32.divide( Float32.subtract(new Float32(atom.x), gridOrigin.x), this.resolution ), radiusGridUnits ).toNumber() ) ); const maxX = Math.min( this.dimension - 1, Math.ceil( Float32.add( Float32.divide( Float32.subtract(new Float32(atom.x), gridOrigin.x), this.resolution ), radiusGridUnits ).toNumber() ) ); const minY = Math.max( 0, Math.floor( Float32.subtract( Float32.divide( Float32.subtract(new Float32(atom.y), gridOrigin.y), this.resolution ), radiusGridUnits ).toNumber() ) ); const maxY = Math.min( this.dimension - 1, Math.ceil( Float32.add( Float32.divide( Float32.subtract(new Float32(atom.y), gridOrigin.y), this.resolution ), radiusGridUnits ).toNumber() ) ); const minZ = Math.max( 0, Math.floor( Float32.subtract( Float32.divide( Float32.subtract(new Float32(atom.z), gridOrigin.z), this.resolution ), radiusGridUnits ).toNumber() ) ); const maxZ = Math.min( this.dimension - 1, Math.ceil( Float32.add( Float32.divide( Float32.subtract(new Float32(atom.z), gridOrigin.z), this.resolution ), radiusGridUnits ).toNumber() ) ); for (let i = minX; i <= maxX; i++) { for (let j = minY; j <= maxY; j++) { for (let k = minZ; k <= maxZ; k++) { const x = Float32.add( gridOrigin.x, Float32.multiply(new Float32(i), this.resolution) ); const y = Float32.add( gridOrigin.y, Float32.multiply(new Float32(j), this.resolution) ); const z = Float32.add( gridOrigin.z, Float32.multiply(new Float32(k), this.resolution) ); const value = this.calculateDensity( atom, { x, y, z }, radius ); grid.set( Float32.add( new Float32(grid.get(atom.type, i, j, k)), value ).toNumber(), atom.type, i, j, k ); } } } } private calculateDensity( atom: Atom, point: { x: Float32; y: Float32; z: Float32 }, radius: Float32 ): Float32 { const distSq = Float32.add( Float32.add( Float32.pow(Float32.subtract(new Float32(atom.x), point.x), 2), Float32.pow(Float32.subtract(new Float32(atom.y), point.y), 2) ), Float32.pow(Float32.subtract(new Float32(atom.z), point.z), 2) ); const dist = Float32.sqrt(distSq); if ( Float32.subtract( dist, Float32.multiply(radius, this.radiusMultiple) ).toNumber() > 0 ) { return new Float32(0); } else if ( Float32.subtract( dist, Float32.multiply(radius, this.gaussianResolution) ).toNumber() <= 0 ) { return Float32.exp( Float32.multiply( new Float32(-2), Float32.divide(distSq, Float32.pow(radius, 2)) ) ); } else { const dr = Float32.divide(dist, radius); const A = Float32.multiply( Float32.exp( Float32.multiply( new Float32(-2), Float32.pow(this.gaussianResolution, 2) ) ), Float32.multiply( new Float32(4), Float32.pow(this.gaussianResolution, 2) ) ); const B = Float32.multiply( Float32.exp( Float32.multiply( new Float32(-2), Float32.pow(this.gaussianResolution, 2) ) ), Float32.add( Float32.multiply(new Float32(-4), this.gaussianResolution), Float32.multiply( new Float32(-8), Float32.pow(this.gaussianResolution, 3) ) ) ); const C = Float32.multiply( Float32.exp( Float32.multiply( new Float32(-2), Float32.pow(this.gaussianResolution, 2) ) ), Float32.add( Float32.add( Float32.multiply( new Float32(4), Float32.pow(this.gaussianResolution, 4) ), Float32.multiply( new Float32(4), Float32.pow(this.gaussianResolution, 2) ) ), new Float32(1) ) ); const q = Float32.add( Float32.multiply(Float32.add(Float32.multiply(A, dr), B), dr), C ); return Float32.max(q, new Float32(0)); } } }