The following code provided in the matplotlib documentation creates Hinton diagrams:
def hinton(matrix, max_weight=None, ax=None):
"""Draw Hinton diagram for visualizing a weight matrix."""
ax = ax if ax is not None else plt.gca()
if not max_weight:
max_weight = 2 ** np.ceil(np.log(np.abs(matrix).max()) / np.log(2))
ax.patch.set_facecolor('gray')
ax.set_aspect('equal', 'box')
ax.xaxis.set_major_locator(pl.NullLocator())
ax.yaxis.set_major_locator(pl.NullLocator())
for (x, y), w in np.ndenumerate(matrix):
color = 'white' if w > 0 else 'black'
size = np.sqrt(np.abs(w) / max_weight)
rect = pl.Rectangle([x - size / 2, y - size / 2], size, size,
facecolor=color, edgecolor=color)
ax.add_patch(rect)
ax.autoscale_view()
ax.invert_yaxis()
I would like to create two Hinton diagrams: one for the weights going from the input to the hidden layer, and one going from the hidden layer to the output layer in my one-layer MLP. I have tried (based on this jupyter notebook):
W = model_created.layers[0].kernel.get_value(borrow=True)
W = np.squeeze(W)
print("W shape : ", W.shape) # (153, 15)
W_out = model_created.layers[1].kernel.get_value(borrow=True)
W_out = np.squeeze(W_out)
print('W_out shape : ', W_out.shape) # (15, 8)
with PdfPages('hinton_again.pdf') as pdf:
h1 = hinton(W)
h2 = hinton(W_out)
pdf.savefig()
I have also tried (based on this answer):
h1 = hinton(W)
h2 = hinton(W_out)
pp = PdfPages('hinton_both.pdf')
pp.savefig(h1)
pp.savefig(h2)
pp.close()
Regardless, the outcome is the same: the Hinton diagram for W gets plotted twice. How can I include a Hinton diagram for my first set of weights and a Hinton diagram for my second set of weights in the same pdf (I would also settle for two separate pdfs, as long as I can get both Hinton diagrams)?