@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
26 lines • 1.41 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
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;
}());
exports.LRNProgram = LRNProgram;
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