I am very new to GAN and machine learning overall, anyway this line is not working and I don't know why:
Xd = numpy.concatenate((image_batch, generated_images))
image_batch looks like this:
[[[[-1. -1. -0.99215686 ... -1. -1.
-1. ]
[-1. -1. -0.99215686 ... -0.99215686 -1.
-1. ]
[-1. -1. -0.99215686 ... -0.9843137 -0.99215686
-1. ]
...
[-1. -1. -1. ... -0.84313726 -0.8509804
-0.85882354]
[-1. -1. -1. ... -0.9372549 -0.9529412
-0.9529412 ]
[-1. -1. -1. ... -0.99215686 -1.
-1. ]]
[[-0.9843137 -0.9764706 -0.96862745 ... -1. -0.99215686
-0.9843137 ]
[-0.9843137 -0.9764706 -0.96862745 ... -0.9843137 -0.99215686
-0.9843137 ]
[-0.9764706 -0.9764706 -0.96862745 ... -0.96862745 -0.9843137
-0.99215686]
...
[-1. -1. -1. ... -0.75686276 -0.77254903
-0.78039217]
[-1. -1. -1. ... -0.8666667 -0.90588236
-0.92941177]
[-1. -1. -1. ... -0.92156863 -0.9764706
-1. ]]
[[-0.8980392 -0.8901961 -0.88235295 ... -0.99215686 -0.9843137
-0.9764706 ]
[-0.8980392 -0.8901961 -0.88235295 ... -0.9764706 -0.9843137
-0.9764706 ]
[-0.8901961 -0.8901961 -0.88235295 ... -0.9607843 -0.9764706
-0.9843137 ]
...
[-1. -1. -1. ... -0.654902 -0.67058825
-0.6784314 ]
[-1. -1. -1. ... -0.7647059 -0.8117647
-0.8352941 ]
[-1. -1. -1. ... -0.81960785 -0.88235295
-0.9137255 ]]]]
and generated_images like this:
[[[[ 4.23198326e-05 3.00442276e-04 -1.81058873e-04]
[ 1.45811282e-04 3.19001469e-04 -5.63107751e-05]
[ 2.64693721e-04 1.66193859e-04 -1.39604657e-04]
...
[-6.86520070e-04 5.22632385e-04 5.16742817e-04]
[-1.71413078e-04 3.02032888e-04 4.35194233e-04]
[-5.06673474e-04 6.82787504e-04 1.78376344e-04]]
[[ 6.45761684e-05 8.61766166e-05 -6.29937422e-05]
[ 2.98403582e-04 6.86934000e-05 4.29495230e-05]
[ 4.09575558e-04 -4.51698754e-04 4.19436947e-05]
...
[-9.55444353e-04 5.43228874e-04 1.13315729e-03]
[-4.64068027e-04 4.53829765e-04 6.01236941e-04]
[-8.01370596e-04 6.68600784e-04 2.78927822e-04]]
[[ 1.68935439e-04 1.33932399e-05 1.74131943e-04]
[ 1.84323857e-04 4.10580367e-04 3.57588753e-04]
[ 2.85821239e-04 -1.35206705e-04 3.16827151e-04]
...
[-7.73848209e-04 2.02491228e-03 -4.51121850e-05]
[-4.27678955e-04 1.60137843e-03 -2.11666484e-04]
[-6.78208133e-04 1.14948954e-03 -9.94570655e-05]]
...
[[-4.19918069e-04 -1.32954505e-03 2.47726566e-03]
[ 1.10020614e-04 -7.01685902e-04 2.04097223e-03]
[ 4.61560732e-04 -1.73690103e-04 1.79996120e-03]
...
[ 1.10731961e-03 -1.98406796e-03 3.62820574e-04]
[ 9.58909630e-04 -1.13258348e-03 2.37658562e-04]
[ 9.03887034e-04 -6.93049049e-04 -3.79532954e-04]]
[[ 2.94119072e-05 -1.02064828e-03 2.08724616e-03]
[ 4.25078993e-04 -1.15254743e-03 2.18772772e-03]
[ 4.50835330e-04 -1.38088432e-03 1.82284403e-03]
...
[ 1.06123753e-03 -1.31258322e-03 1.31079473e-03]
[ 9.41374048e-04 -9.39883583e-04 5.85307193e-04]
[ 6.50550472e-04 -7.27863458e-04 -2.13365493e-04]]
[[ 3.37545469e-04 -1.10758666e-03 1.32661499e-03]
[ 6.59163459e-04 -9.21792001e-04 1.55565923e-03]
[ 5.12639701e-04 -6.35552977e-04 9.16730613e-04]
...
[ 1.27078302e-03 -6.56231248e-04 1.26750499e-03]
[ 8.59004795e-04 -8.31177284e-04 5.39227622e-04]
[ 5.79519896e-04 -1.06042309e-03 1.16935298e-04]]]]
What I have tried:
I tried changing the code slightly to this:
Xd = np.concatenate((image_batch, generated_images), axis=1)
this gave me the following error:
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3 and the array at index 1 has size 16384