class_docstr: MLP model.
  
  T = Relu(Add(MatMul(A, B), C))
  R = Relu(Add(MatMul(T, D), E))
class_docstr_tok: ["MLP","model",".","T","=","Relu","(","Add","(","MatMul","(","A",",","B",")",",","C",")",")","R","=","Relu","(","Add","(","MatMul","(","T",",","D",")",",","E",")",")"]
code: def _forward(self, x, w1, w2, b1, b2):
      x = np.maximum(np.matmul(x, w1) + b1, 0.0)
      x = np.maximum(np.matmul(x, w2) + b2, 0.0)
      return x
  
imports: import numpy
label_desc: Use image node_id 3 for calling the MLP obj's underlying member method code with example usage: obj._forward(x, w1, w2, b1, b2) and returns: x