function sigmoidCrossEntropyWithLogits(target, output) {
var maxOutput = tfc.maximum(output, tfc.zerosLike(output));
var outputXTarget = tfc.mul(output, target);
var sigmoidOutput = tfc.log(tfc.add(getScalar(1), tfc.exp(tfc.neg(tfc.abs(output)))));
var result = tfc.add(tfc.sub(maxOutput, outputXTarget), sigmoidOutput);
return result;
}
function categoricalCrossentropy(target, output, fromLogits) {
if (fromLogits === void 0) { fromLogits = false; }
if (fromLogits) {
output = softmax(output);
}
else {
var outputSum = sum(output, shape(output).length - 1, true);
output = divide(output, outputSum);
}
output = clip(output, exports.epsilon(), 1 - exports.epsilon());
return tfc.neg(tfc.sum(tfc.mul(target, tfc.log(output)), shape(output).length - 1));
}
function softplus(x) {
return tfc.log(tfc.add(getScalar(1), tfc.exp(x)));
}
function log(x) {
return tfc.log(x);
}