makeTensorInfo(shape, dtype, values) {
        let outId;
        if (dtype === "string" && values != null && values.length > 0 && (0, _tfjsCore.util).isString(values[0])) {
            const encodedValues = values.map((d)=>(0, _tfjsCore.util).encodeString(d));
            outId = this.write(encodedValues, shape, dtype);
        } else outId = this.write(values, shape, dtype);
        return {
            dataId: outId,
            shape,
            dtype
        };
    }
Create a data bucket in cpu backend.
@param shape Shape of the `TensorInfo`.
@param dtype DType of the `TensorInfo`.
@param values The value of the `TensorInfo` stored as a flattened array.