Please provide software versions

[tompfeil]

Hi,

first of all, great work and interesting read!
I would like to run your examples, but get errors for lenet5 (keras and lasagne) and inceptionV3.
I already downgraded keras to version 2.1.6 like suggested in other tickets.
I have the suspicion that my errors are due to different versions for tensorflow, theano and lasagne.
Can you please provide these versions or ideally the version of all software components, e.g. "conda list --export > packages.txt".

Cheers,

Thomas

[rbodo]

Hi Thomas,

Here's a configuration that allows me to run the LeNet example with Theano, Tensorflow, and Lasagne.

packages.txt

(There's a lot of unnecessary junk installed in this environment, sorry about that.)

If the problem persists, please share the error message.

Best,

Bodo

[simak-alexandr]

Dear Bodo,

We experience similar situation!

I have just confirmed that downgraded Keras (2.1.3) and Tensorflow (1.8.0rc1) still run to the error for LeNet simulation for the latest snn_toolbox (42d0bcf).

Here is the error message:

Building spiking model...
Building layer: 00Conv2D_6x24x24
Building layer: 01MaxPooling2D_6x12x12
WARNING: Rate-based spiking MaxPooling layer is not implemented in TensorFlow backend. Falling back on AveragePooling. Switch to Theano backend to use MaxPooling.
Traceback (most recent call last):
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1567, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 6 and 3 for '01MaxPooling2D_6x12x12_1/add' (op: 'Add') with input shapes: [1,6,12,12], [1,3,12,24].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/s00328308/tensorflow/venv/bin/snntoolbox", line 11, in
sys.exit(main())
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/bin/run.py", line 50, in main
test_full(config)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/bin/utils.py", line 111, in test_full
spiking_model.build(parsed_model)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/simulation/utils.py", line 425, in build
self.add_layer(layer)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/simulation/target_simulators/INI_temporal_mean_rate_target_sim.py", line 91, in add_layer
self._spiking_layers[layer.name] = spike_layer(inbound)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/keras/engine/topology.py", line 617, in call
output = self.call(inputs, **kwargs)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/simulation/backends/inisim/temporal_mean_rate_tensorflow.py", line 485, in decorator
return self.update_neurons()
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/simulation/backends/inisim/temporal_mean_rate_tensorflow.py", line 98, in update_neurons
new_mem = self.get_new_mem()
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/snntoolbox/simulation/backends/inisim/temporal_mean_rate_tensorflow.py", line 228, in get_new_mem
new_mem = self.mem + masked_impulse
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 796, in _run_op
return getattr(ops.Tensor, operator)(a._AsTensor(), *args)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/ops/math_ops.py", line 979, in binary_op_wrapper
return func(x, y, name=name)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/ops/gen_math_ops.py", line 297, in add
"Add", x=x, y=y, name=name)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1734, in init
control_input_ops)
File "/home/s00328308/tensorflow/venv/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1570, in _create_c_op
raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 6 and 3 for '01MaxPooling2D_6x12x12_1/add' (op: 'Add') with input shapes: [1,6,12,12], [1,3,12,24].

Thanks!

[rbodo]

Can you please check that the "image_data_format" parameter is set to "channels_first" in you keras configuration file (~/.keras/keras.json)?

[simak-alexandr]

Dear Bodo,

Yes, it made the thing. Thanks!

I have checked the closed Issues and found similar one as resolved, my bad, so sorry.

[rbodo]

No problem, happy it worked.

[tompfeil]

Hi, this actually also solved my problem, thanks.