Mercurial > pylearn
diff pylearn/sampling/mcmc.py @ 1447:fbe470217937
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 | 492473059b37 |
| children |
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--- a/pylearn/sampling/mcmc.py Tue Mar 08 12:50:37 2011 -0500 +++ b/pylearn/sampling/mcmc.py Wed Mar 16 20:20:02 2011 -0400 @@ -55,7 +55,7 @@ The len of this vector is the batchsize. """ - batchsize = positions[0].value.shape[0] + batchsize = positions[0].get_value(borrow=True).shape[0] self.s_rng = TT.shared_randomstreams.RandomStreams(seed) self.positions = positions self.prev_energy = shared(np.zeros(batchsize) + float('inf')) @@ -64,7 +64,7 @@ s_stepsize = TT.scalar('stepsize') - new_positions = [p + s_stepsize * self.s_rng.normal(size=p.value.shape) + new_positions = [p + s_stepsize * self.s_rng.normal(size=p.get_value(borrow=True).shape) for p in self.positions] # accept-reject according to Metropolis-Hastings @@ -90,7 +90,7 @@ self.stepsize = min(self.stepsize*self.stepsize_inc,self.stepsize_max) def get_position(self): - return [q.value for q in self.positions] + return [q.get_value(borrow=True) for q in self.positions] def draw(self, n_steps=None): """Return the current sample in the Markov chain as a list of numpy arrays