class_docstr: >>> value = np.random.random((3, 3))
  >>> constant = Constant(value)
  creating: createConstant
class_docstr_tok: [">",">",">","value","=","np.random.random","(","(","3",",","3",")",")",">",">",">","constant","=","Constant","(","value",")","creating",":","createConstant"]
code: def __init__(self, value, bigdl_type="float"):
      super(Constant, self).__init__(
          None, bigdl_type, JTensor.from_ndarray(value)
      )
  
file_path: BigDL/python/dllib/src/bigdl/dllib/nn/onnx/layer.py
imports: import sys
  import numpy
  from bigdl.dllib.nn.layer import Layer
  from bigdl.dllib.utils.common import JTensor
label_desc: Use image node_id 1 to create a new Constant object from inherited base classes: Layer with example: obj = Constant(value, bigdl_type)