@tensorflow/tfjs-core/dist-es6/kernels/webgl/lrn_gpu.js

Hardware-accelerated JavaScript library for machine intelligence

var LRNProgram = (function () {
    function LRNProgram(xShape, radius, bias, alpha, beta) {
        this.variableNames = ['x'];
        this.outputShape = [];
        var rad = radius;
        var maxD = xShape[3] - 1;
        this.outputShape = xShape;
        var powOperator;
        var basis = "float(" + bias + ") + float(" + alpha + ") * sum";
        if (beta === 0.5) {
            powOperator = "inversesqrt(" + basis + ")";
        }
        else if (beta === 1.0) {
            powOperator = "1.0/(" + basis + ")";
        }
        else {
            powOperator = "exp(log(" + basis + ") * float(-" + beta + "));";
        }
        this.userCode = "\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -" + rad + "; j <= " + rad + "; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  " + maxD + ") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * " + powOperator + ";\n        setOutput(val);\n      }\n    ";
    }
    return LRNProgram;
}());
export { LRNProgram };
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