test_sa.py fails..

[why-not]

Here is the stack trace..

givens={self.x: data_shared[index * batch_size: (index + 1) * batch_size]})
Started the training.

Training at epoch 0

ValueError Traceback (most recent call last)
/home/user/workspace/experiments/autoencoders/tests/test_sa.py in ()
13 rnd = numpy.random.RandomState(1231)
14 print type(rnd)
---> 15 dae = SparseAutoencoder(input, nvis=28*28, nhid=2000, rnd=rnd)
16 dae.fit(data=x_data)

/home/user/workspace/experiments/autoencoders/sa.pyc in fit(self, data, learning_rate, batch_size, n_epochs, sparsity_penalty, sparsity_level, weights_file)
89 print "Training at epoch %d" % epoch
90 for batch_index in xrange(n_batches):
---> 91 ae_costs.append(train_ae(batch_index))
92 print "Training at epoch %d, %f" % (epoch, numpy.mean(ae_costs))
93

/home/user/anaconda/lib/python2.7/site-packages/theano/compile/function_module.pyc in call(self, _args, *_kwargs)
586 # For the CVM
587 gof.vm.raise_with_op(self.fn.nodes[self.fn.position_of_error],
--> 588 self.fn.thunks[self.fn.position_of_error])
589 else:
590 # For the c linker

/home/user/anaconda/lib/python2.7/site-packages/theano/compile/function_module.pyc in call(self, _args, *_kwargs)
577 t0_fn = time.time()
578 try:
--> 579 outputs = self.fn()
580 except Exception:
581 if hasattr(self.fn, 'position_of_error'):

ValueError: Input dimension mis-match. (input[0].shape[1] = 784, input[1].shape[1] = 2000)
Apply node that caused the error: Elemwise{Composite{[tanh(add(i0, i1))]}}[(0, 0)](Dot22.0, InplaceDimShuffle{x,0}.0)
Inputs shapes: [(100, 784), (1, 2000)]
Inputs strides: [(6272, 8), (16000, 8)]
Inputs types: [TensorType(float64, matrix), TensorType(float64, row)]