def genTestData(name, inpShape, outShape):
net = dn.load_net(name + '.cfg', '', 0)
inp = np.random.standard_normal(inpShape).astype(np.float32)
inpData = dn.c_array(dn.c_float, inp.flatten())
pred = dn.predict(net, inpData)
total = np.prod(outShape)
out = np.zeros([total], np.float32)
for i in range(total):
out[i] = pred[i]
out = out.reshape(outShape)
np.save(name + '_in.npy', inp)
np.save(name + '_out.npy', out)
def genTestData(name, inpShape, outShape):
net = dn.load_net(name + '.cfg', '', 0)
inp = np.random.standard_normal(inpShape).astype(np.float32)
inpData = dn.c_array(dn.c_float, inp.flatten())
pred = dn.predict(net, inpData)
total = np.prod(outShape)
out = np.zeros([total], np.float32)
for i in range(total):
out[i] = pred[i]
out = out.reshape(outShape)
np.save(name + '_in.npy', inp)
np.save(name + '_out.npy', out)