BNN-PYNQ sample provides a comparison between FPGA-based BNN and CPU-based one.
However, I also want to compare BNN and basic CNN on CPU.
So, I at first tried to restore cifar10-1w-1a.npz using the script below.
Then, the script returned the following error.
Could anyone please teach me how to correct?
Do I need some flags to set to lasagne.layers.set_all_param_values()
Traceback (most recent call last):
File “”, line 1, in
File “/Users/kenichi/.local/lib/python2.7/site-packages/lasagne/layers/helper.py”, line 522, in set_all_param_values
ValueError: mismatch: parameter has shape (64, 3, 3, 3) but value to set has shape (256, 128, 3, 3)
import numpy as np
import theano.tensor as T
from collections import OrderedDict
learning_parameters = OrderedDict()
learning_parameters.alpha = .1
learning_parameters.epsilon = 1e-4
learning_parameters.W_LR_scale = “Glorot”
learning_parameters.activation_bits = 2
learning_parameters.weight_bits = 2
input = T.tensor4(‘inputs’)
cnn = cnv.genCnv(input, 10, learning_parameters)
npz = np.load(“cifar10-1w-1a.npz”)
lasagne.layers.set_all_param_values(cnn, [npz[v] for v in npz])