def do_predict(request, network_id, inputs_dataset_id):
network = Network.objects.get(pk=network_id)
if request.user == network.user :
result = Result()
result.action = 'prediction'
result.updated_at = timezone.now()
result.save()
t = threading.Thread(target=predict, args=(network_id, result.id, inputs_dataset_id))
t.setDaemon(True)
t.start()
return redirect('/dnn/result/' + str(result.id))
else :
raise PermissionDenied
def do_train(request, network_id, inputs_dataset_id, targets_dataset_id, batch_size, epochs):
network = Network.objects.get(pk=network_id)
if request.user == network.user :
result = Result()
result.action = 'training'
result.updated_at = timezone.now()
result.save()
t = threading.Thread(target=train, args=(network_id, result.id, inputs_dataset_id, targets_dataset_id, int(batch_size), int(epochs)))
t.setDaemon(True)
t.start()
return redirect('/dnn/result/' + str(result.id))
else :
raise PermissionDenied
def do_predict(request, network_id, inputs_dataset_id):
network = Network.objects.get(pk=network_id)
if request.user == network.user:
result = Result()
result.action = 'prediction'
result.updated_at = timezone.now()
result.save()
t = threading.Thread(target=predict,
args=(network_id, result.id, inputs_dataset_id))
t.setDaemon(True)
t.start()
return redirect('/dnn/result/' + str(result.id))
else:
raise PermissionDenied
def do_validate(request, network_id, inputs_dataset_id, targets_dataset_id,
batch_size, epochs):
network = Network.objects.get(pk=network_id)
if request.user == network.user:
result = Result()
result.action = 'validation'
result.updated_at = timezone.now()
result.save()
#raise Exception("hello")
t = threading.Thread(target=validate,
args=(network_id, result.id, inputs_dataset_id,
targets_dataset_id, int(batch_size)))
t.setDaemon(True)
t.start()
return redirect('/dnn/result/' + str(result.id))
else:
raise PermissionDenied