let results = (outs
    TFL_VariadicTensorOf<[F32, I16, I32, I8, UI8, QI8, QUI8, QI16]>:$outputs
  );

  let hasVerifier = 1;

  let hasOptions = 1;
}

def TFL_SplitVOp : TFL_Op<"split_v", [
    Pure,
    QuantizableResult,
    SameOperandsAndResultsScale]> {
  let summary = "Splits a tensor into `num_split` tensors along one dimension.";

  let description = [{

    "SQUARE",
    "ZEROS_LIKE",
    "FILL",
    "FLOOR_MOD",
    "RANGE",
    "RESIZE_NEAREST_NEIGHBOR",
    "LEAKY_RELU",
    "SQUARED_DIFFERENCE",
    "MIRROR_PAD",
    "ABS",
    "SPLIT_V",
    "UNIQUE",
    "CEIL",
    "REVERSE_V2",
    "ADD_N",
    "GATHER_ND",
    "COS",
    "WHERE",
    "RANK",
    "ELU",
    "REVERSE_SEQUENCE",
    "MATRIX_DIAG",

ForGeneralPurposeString(kthread.openSlice),ts,args,0);kthread.thread.sliceGroup.pushSlice(slice);},cpufreqUpDownEvent(eventName,cpuNumber,pid,ts,eventBase){const data=splitData(eventBase.details);this.cpufreqSlice(ts,eventName,data.cpu,data);return true;},cpufreqTargetEvent(eventName,cpuNumber,pid,ts,eventBase){const data=splitData(eventBase.details);this.cpufreqSlice(ts,eventName,data.cpu,data);return true;},cpufreqBoostUnboostEvent(eventName,cpuNumber,pid,ts,eventBase){this.cpufreqBoostSlice(t...