我是编程新手，最近一直在尝试通过（cross-sim）来计算ANN。但是我上周因以下错误问题而陷入困境。谁能帮我解决这个问题？
`> ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-15-11c5a8b78c5d> in <cell line: 556>()
574
575 ##### small images
--> 576 train_net.train(filename="/content/cross-sim/stp/output/0.01/small_images_lookup.txt", dataset="small", params=params, n_epochs=epochs)
577 #train_net.plot_training([outdir+"small_images_lookup.txt"], dataset="small",plot_linear=False)
578
2 frames
<ipython-input-15-11c5a8b78c5d> in train(self, filename, dataset, params, scale_weights, params2, plot_weight_hist, n_epochs, seed, wtmodel)
384 bp.indata = testdata
385 bp.answers = testresult
--> 386 count, frac = bp.classify(n=ncset)
387 print("%d %g %g %g" % (0, 0.0, 0.0, frac))
388
/content/cross-sim/cross_sim/cross_sim/backprop/backprop.py in classify(self, n, debug, count_interval, randomSampling, topk, time_interval, profiling_folder, profiling_settings)
748
749 ex = (one if not randomSampling else inds_rand[one])
--> 750 result = self.classify_one(ex, branch, debug=debug,topk=topk,profile_in_backprop=profile_in_backprop)
751
752 if type(topk) is int:
/content/cross-sim/cross_sim/cross_sim/backprop/backprop.py in classify_one(self, one, branch, debug, profile_in_backprop, topk, debug_graph)
879 if m == 0:
880 ivec = indata[one].copy()
--> 881 flattened = (ivec.shape[0] == 1 and ivec.shape[1] == 1) or self.layerTypes[0] == "dense"
882 elif not branch:
883 ivec = output_vec.copy()
TypeError: 'NoneType' object is not subscriptable``
> I was compiling the program throgh cross-sim and while executing the program its shows error.