subject_id,
cnn=cnn,
justdims=True,
locate=locate,
treat=None)
meas_dims, m, p, n_steps, total_batch_size, Wt = nn_prepro.faces_dataset(
subject_id,
cnn=cnn,
justdims=True,
locate=locate,
treat=treat,
Wt=Wt)
test, val, batch_list, batches = nn_prepro.ttv(
total_batch_size,
test_frac,
val_frac,
batch_frac,
rand_test=rand_test)
per_batch = int(5000 / batches)
if subject_id is 'aud':
meas_img_test, qtrue_test, meas_dims, m, p, n_steps, test_size, Wt = nn_prepro.aud_dataset(
selection=test,
pca=pca,
subsample=subsample,
justdims=False,
cnn=cnn,
locate=locate,
treat=treat,
Wt=Wt)
elif subject_id is 'rat':
writer.writeheader()
for [k_conv, n_conv1, n_conv2, n_lstm, n_layer, test_frac, val_frac, batch_frac, n_sensors, n_dipoles] in params_list:
n_chan_in=1
meas_dims, m, p, n_steps, total_batch_size, Wt = nn_prepro.rat_real(stim=stim,selection='all',pca=True,subsample=1,justdims=True,cnn=False,locate=locate,treat=treat,rnn=rnn,Wt=None)
total_batch_size_synth=int(total_batch_size/test_frac)
delT=1./1017.
meas_dims_in=[n_sensors,1]
dipole_dims=[2,2,4]
meas_dims, m, p, n_steps, total_batch_size, Wt_synth = nn_prepro.rat_synth(total_batch_size,delT,n_steps,meas_dims_in,dipole_dims,n_chan_in,meas_xyz=None,dipole_xyz=None,orient=None,noise_flag=True,selection='all',pca=True,subsample=1,justdims=True,cnn=cnn,locate=locate,treat=None,rnn=rnn,Wt=None)
meas_dims, m, p, n_steps, total_batch_size, Wt_synth = nn_prepro.rat_synth(total_batch_size,delT,n_steps,meas_dims_in,dipole_dims,n_chan_in,meas_xyz=None,dipole_xyz=None,orient=None,noise_flag=True,selection='all',pca=True,subsample=1,justdims=True,cnn=cnn,locate=locate,treat=treat,rnn=rnn,Wt=Wt_synth)
test, val, batch_list, batches = nn_prepro.ttv(total_batch_size,.5,.5,0.0,rand_test=rand_test)
test_synth, val_synth, batch_list_synth, batches_synth = nn_prepro.ttv(total_batch_size_synth,test_frac,val_frac,batch_frac,rand_test=rand_test)
per_batch = int(5000/batches_synth)
print "Test batch ",test
meas_img_test, qtrue_test, meas_dims, m, p, n_steps, test_size, Wt = nn_prepro.rat_real(stim=stim,selection=test,pca=True,subsample=1,justdims=False,cnn=False,locate=locate,treat=treat,rnn=rnn,Wt=None)
print "Val batch ",val
meas_img_val, qtrue_val, meas_dims, m, p, n_steps, val_size, Wt = nn_prepro.rat_real(stim=stim,selection=val,pca=True,subsample=1,justdims=False,cnn=False,locate=locate,treat=treat,rnn=rnn,Wt=None)
n_out=p
k_pool=1
print "Meas: ", m, " Out: ",p, " Steps: ",n_steps
time.sleep(10)