// CHECK: %[[CUSTOM_AGGREGATOR_0:.*]], %[[MIN_O:.*]], %[[MAX_O:.*]], %[[HISTOGRAM_0:.*]] = "tf.CustomAggregator"
// CKECK-SAME: <{calibration_method = 5 : i32, id = "skipping_id", num_bins = 32 : i32, max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32}> : (tensor<1x3x4x3xf32>) -> (tensor<1x3x4x3xf32>, tensor<f32>, tensor<f32>, tensor<512xi64>)
// CHECK: %[[CUSTOM_AGGREGATOR_1:.*]], %[[MIN_1:.*]], %[[MAX_1:.*]], %[[HISTOGRAM_1:.*]] = "tf.CustomAggregator"

	var t []*Value
	if total <= len(c.valstorage) {
		t = c.valstorage[:total]
		max_b = c
		totalBeforeMax = total - len(c.Values)
		copy(t[totalBeforeMax:], c.Values)
	} else if total <= cap(max_b.Values) { // in place, somewhere
		t = max_b.Values[0:total]
		copy(t[totalBeforeMax:], max_b.Values)
	} else {
		t = make([]*Value, total)
		max_b = nil
	}

	// copy the values
	copyTo := 0