#coding=utf-8  """ Symbolic computation of python theano    @Author: zhang zewang  @Date: 2016-3-2  """  import sys  sys.path.append('../utils/')  import theano  import theano.tensor as T  import numpy as np  from functionUtils import shared_normal,shared_zeros  w = 1.5  def step(input):      return w*input  input = T.dscalar('input')  output = step(input)  f = theano.function([input],[output])  gf = T.grad(output,input)  gf = theano.function([input],[gf])  i = 4  print f(4)  print gf(4)

#coding=utf-8  """ Symbolic computation of python theano    @Author: zhang zewang  @Date: 2016-3-2  """  import sys  sys.path.append('../utils/')  import theano  import theano.tensor as T  import numpy as np  from functionUtils import shared_normal,shared_zeros  w = [[1.5,2],[3,4]]  w = np.array(w)  input = T.dmatrix('input')  output = w*(input)  f = theano.function([input],[output])  gf = T.grad(output.sum(),input)  gf = theano.function([input],[gf])  i = [[1,2],[5,6]]  print f(i)  print gf(i)