Global name 'hidden_inputs' is not defined

[Robert0812]

When running optimizer.run(100), an error occurred: global name 'hidden_inputs' is not defined in line 323 of ./hebel/hebel/models/neurals_net.py

Where to define the global variable 'hidden_inputs'? Thanks!

[Robert0812]

I suspect it may be 'hidden_activations' or just the 'input_data'.

[hannes-brt]

Can you post the script you were trying to run?

[Robert0812]

Following the documentation at this website http://hebel.readthedocs.org/en/latest/getting_started.html

I run the following code lines, and error occurs at optimizer.run(100)

import pycuda.autoinit
from hebel.models import NeuralNet
from hebel.optimizers import SGD
from hebel.parameter_updaters import MomentumUpdate
from hebel.data_providers import MNISTDataProvider
from hebel.monitors import ProgressMonitor
from hebel.schedulers import exponential_scheduler, linear_scheduler_up

Initialize data providers

train_data = MNISTDataProvider('train', batch_size=100)
validation_data = MNISTDataProvider('val')
test_data = MNISTDataProvider('test')

D = train_data.D # Dimensionality of inputs
K = 10 # Number of classes

Create model object

model = NeuralNet(n_in=train_data.D, n_out=K,
layers=[1000, 500, 500],
activation_function='relu',
dropout=True)

Create optimizer object

progress_monitor = ProgressMonitor(
experiment_name='mnist',
save_model_path='examples/mnist',
save_interval=5,
output_to_log=True)

optimizer = SGD(model, MomentumUpdate, train_data, validation_data,
learning_rate_schedule=exponential_scheduler(1., .995),
momentum_schedule=linear_scheduler_up(.5, .9, 10))

Run model

optimizer.run(100)

Evaulate error on test set

test_error = 0
test_error = model.test_error(test_data)
print "Error on test set: %.3f" % test_error