GEE Verdet (Temporal Segmentation Algo) Failure

I’m struggling to get the Verdet Temporal Segmentaion Algorithm to run (https://developers.google.com/earth-engine/apidocs/ee-algorithms-temporalsegmentation-verdet). I get vague "Internal Server Errors" when displaying the output.

As per the documentation I think I’m providing the correct style of input – 1 image per year. I’m thinking this is a bug in the Verdet code, given that I have noticed other similar posts on Verdet.

Link to code: https://code.earthengine.google.com/fdf8bdd1ecac7551b2dfd89f52d7417c

Started a thread in GEE developer’s forum as well: https://groups.google.com/g/google-earth-engine-developers/c/cORUs-lFyCs/m/2UWkTX_DAAAJ

Code used (everything works, except adding the verdet layer to the map):

function mask(img) {
  var clearBitMask = 1 << 1;
  var qa = img.select('pixel_qa');
  var masked_img = img.updateMask(
    qa.bitwiseAnd(clearBitMask)
  ).copyProperties(img, ['system:time_start'])
  return(masked_img)
}

function addNDVI(img) {
    var ndvi = img.normalizedDifference(["nir", "red"]).rename('NDVI')
    img = img.addBands(ndvi)
    return(img)
}

var start_yr = 2015
var end_yr = 2020

var coords = [
    [-74.31961, 43.94047],
    [-74.1584, 43.94047],
    [-74.1584, 44.07021],
    [-74.31961, 44.07021]
]

var aoi = ee.Geometry.Polygon(coords)

var yearlyComposites = ee.ImageCollection([]);

for (var i = start_yr; i < end_yr; i++) {
    
    var ls8Col = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').select(
            ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'pixel_qa'],
            ['blue', 'green', 'red', 'nir', 'swir1', 'swir2', 'pixel_qa']
        ).filterMetadata(
            'IMAGE_QUALITY_OLI', 'not_less_than', 9
        ).filterMetadata(
            'CLOUD_COVER', 'not_greater_than', 33
        ).filterBounds(
          aoi
        ).filterDate(
          ee.Date(i + '-06-15'),
          ee.Date(i + '-8-30')
        )
    ls8Col = ls8Col.map(addNDVI)
    ls8Col = ls8Col.map(mask)
    ls8Col = ls8Col.map(function(img) {return(img.clip(aoi))});
    yearlyComposites = yearlyComposites.merge(ls8Col.median());
}

yearlyComposites = yearlyComposites
print(yearlyComposites.getInfo())
var centerCoords = aoi.centroid().coordinates()
print(centerCoords.get(0))
print(centerCoords.get(1))
var verdet = ee.Algorithms.TemporalSegmentation.Verdet(yearlyComposites.select('NDVI'));
print(verdet.getInfo())
Map.setCenter( -74.23900500000029, 44.00534468585141, 12)
Map.addLayer(verdet, {}, 'verdet')