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comparison pylearn/shared/layers/tests/test_sigmoidal_layer.py @ 1447:fbe470217937

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Use .get_value() and .set_value() of shared instead of the .value property
author Pascal Lamblin <lamblinp@iro.umontreal.ca>
date Wed, 16 Mar 2011 20:20:02 -0400
parents 912be602c3ac
children
comparison
equal deleted inserted replaced
1446:6e50d209b5f1 1447:fbe470217937
22 cost = out.nll(y).sum() 22 cost = out.nll(y).sum()
23 params = out.params+layer.params 23 params = out.params+layer.params
24 updates = [(p, p - numpy.asarray(0.01, dtype=dtype)*gp) for p,gp in zip(params, tensor.grad(cost, params)) ] 24 updates = [(p, p - numpy.asarray(0.01, dtype=dtype)*gp) for p,gp in zip(params, tensor.grad(cost, params)) ]
25 f = pfunc([x, y], cost, updates=updates) 25 f = pfunc([x, y], cost, updates=updates)
26 26
27 w0 = layer.w.value.copy() 27 w0 = layer.w.get_value(borrow=False)
28 b0 = layer.b.value.copy() 28 b0 = layer.b.get_value(borrow=False)
29 29
30 xval = numpy.asarray(rng.rand(bsize, n_in), dtype=dtype) 30 xval = numpy.asarray(rng.rand(bsize, n_in), dtype=dtype)
31 yval = numpy.asarray(rng.randint(0,2,bsize), dtype='int64') 31 yval = numpy.asarray(rng.randint(0,2,bsize), dtype='int64')
32 f0 = f(xval, yval) 32 f0 = f(xval, yval)
33 for i in xrange(n_iter): 33 for i in xrange(n_iter):
34 fN = f(xval, yval) 34 fN = f(xval, yval)
35 print i, 'rval', fN 35 print i, 'rval', fN
36 36
37 assert f0 > 6 37 assert f0 > 6
38 assert fN < 2 38 assert fN < 2
39 39
40 assert numpy.all(w0 != layer.w.value) 40 assert numpy.all(w0 != layer.w.get_value(borrow=True))
41 assert numpy.all(b0 != layer.b.value) 41 assert numpy.all(b0 != layer.b.get_value(borrow=True))