UNPKG

@tensorflow/tfjs-core

Version:

Hardware-accelerated JavaScript library for machine intelligence

32 lines (31 loc) 1.97 kB
import { GPGPUContext } from './gpgpu_context'; import { GPGPUProgram } from './gpgpu_math'; export declare const ADD = "return a + b;"; export declare const SUB = "return a - b;"; export declare const MUL = "return a * b;"; export declare const DIV = "if (a == b) return 1.0;\n return a / b;"; export declare const INT_DIV = "\n float resultSign = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n int result = ia / ib;\n int amodb = ia - ib * result;\n\n if (resultSign < 0.0 && amodb != 0) {\n result -= 1;\n }\n return float(result);\n"; export declare const POW = "\nif(a < 0.0 && floor(b) < b){\n return NAN;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n"; export declare const SQUARED_DIFFERENCE = "return (a - b) * (a - b);"; export declare const EQUAL = "return float(a == b);"; export declare const NOT_EQUAL = "return float(a != b);"; export declare const LESS = "return float(a < b);"; export declare const LESS_EQUAL = "return float(a <= b);"; export declare const GREATER = "return float(a > b);"; export declare const GREATER_EQUAL = "return float(a >= b);"; export declare const LOGICAL_AND = "return float(a >= 1.0 && b >= 1.0);"; export declare const LOGICAL_OR = "return float(a >= 1.0 || b >= 1.0);"; export declare const MAX: string; export declare const MIN: string; export declare const MOD = "if (b == 0.0) return NAN;\n return mod(a, b);"; export declare const ATAN2: string; export declare const ELU_DER = "return (b >= 1.0) ? a : a * (b + 1.0);"; export declare const PRELU = "return (a < 0.) ? b * a : a;"; export declare class BinaryOpProgram implements GPGPUProgram { variableNames: string[]; outputShape: number[]; userCode: string; startLoc: WebGLUniformLocation; constructor(op: string, aShape: number[], bShape: number[]); getCustomSetupFunc(): (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void; }