Question about SpikeRecorder

[OOOOOmoi]

Hello, I'm using GeNN to simulate a variant of the Potjans model containing three types of inhibitory neurons, with more diverse weights between each neuronal population. When I try to use the GeNNModel.pull_recording_buffers_from_device() method to record neuronal spikes in the network like this:

model.load(num_recording_timesteps=args.buffer_size)
spike_data = {n: [] for n in neuron_populations.keys()}
while model.t < duration:
    # Advance simulation
    print(model.timestep)
    model.step_time()
    # Indicate every 10%
    if not model.timestep % args.buffer_size:
        model.pull_recording_buffers_from_device()
        for n, pop in neuron_populations.items():
            spike_times, spike_ids = pop.spike_recording_data[0]
            spike_data[n].append(np.column_stack((spike_times, spike_ids)))
    if (model.timestep % ten_percent_timestep) == 0:
        print("%u%%" % (model.timestep / 100))

I found the program couldn't run properly and would always get stuck at pull_recording_buffers_from_device(), I've already enabled spike recording when creating neurons using neuron_pop.spike_recording_enabled = True. I also tried reducing the number of neurons and synapses, but that didn't work. What's puzzling is that when I don't create any synapses, set all synaptic weights to zero, or make the weights between different neuronal populations follow the same mean and variance, the program runs normally. Where do you think the problem might lie?
By the way, I encountered this same issue when using GeNN 4.X before. At that time, the program also got stuck at pull_recording_buffers_from_device(), but I didn't pay much attention to it - I directly modified the generated C++ code and makefile to bypass the SpikeRecorder.

[neworderofjamie]

This definitely sounds like a bug so I have created #669. Could you let me know what code I need to run to reproduce?