Getting IndexError

[Krishna1997]

I am using this model for similar data except that our images contain Sanskrit words. I created the train, val , test files similar to the ones(i.e image_name followed by ordinals for characters) used in this model. But in our case, the number of characters(i.e n_classes) is 118(instead of 95 in original one) and y_max_len=200(instead of 50 in original one). When I train the model , I am getting the following error

loaded 25996 samples from ./dataset/train_img_list.txt loaded 756 samples from ./dataset/val_img_list.txt building symbolic tensors(0.84720993042) ('#Train samples: ', 25996) ('#Val samples: ', 756) ('#Train Iterations: ', 406) ('#Val Iterations: ', 11) setting parameters(0.848186016083) ('n_classes: ', 118) ('multi-step: ', set([40600, 71050, 60900])) building the model(0.848335027695) Subtensor{int64}.0 Shape.0 computing updates and function(1.2518889904) using normal sgd and learning_rate:0.00999999977648 ('bw_lstm_b', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('fw_lstm_W', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('fw_lstm_U', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('fw_lstm_b', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('bw_lstm_W', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('bw_lstm_U', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('hidden_b', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) ('hidden_W', <class 'theano.tensor.sharedvar.TensorSharedVariable'>) building training function(2.72188806534) building validating function(25.7086689472) begin to train(27.9824080467) .epoch 1/200 begin(27.982) [prefetch]height: 150, x_max_step:900.0, y_max_width:200 Traceback (most recent call last): File "train/train.py", line 148, in loss = train() File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 898, in call storage_map=getattr(self.fn, 'storage_map', None)) File "/usr/local/lib/python2.7/dist-packages/theano/gof/link.py", line 325, in raise_with_op reraise(exc_type, exc_value, exc_trace) File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 884, in call self.fn() if output_subset is None else
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 872, in rval r = p(n, [x[0] for x in i], o) File "/usr/local/lib/python2.7/dist-packages/theano/tensor/subtensor.py", line 2173, in perform out[0] = inputs[0].getitem(inputs[1:]) IndexError: index 121 is out of bounds for axis 2 with size 119 Apply node that caused the error: AdvancedSubtensor(Reshape{3}.0, SliceConstant{None, None, None}, InplaceDimShuffle{0,x}.0, <TensorType(int32, matrix)>) Toposort index: 463 Inputs types: [TensorType(float32, 3D), <theano.tensor.type_other.SliceType object at 0x7f6a4d6d9510>, TensorType(int64, col), TensorType(int32, matrix)] Inputs shapes: [(900, 64, 119), 'No shapes', (64, 1), (64, 200)] Inputs strides: [(30464, 476, 4), 'No strides', (8, 8), (800, 4)] Inputs values: ['not shown', slice(None, None, None), 'not shown', 'not shown'] Outputs clients: [[Reshape{2}(AdvancedSubtensor.0, MakeVector{dtype='int64'}.0), Shape_i{2}(AdvancedSubtensor.0), Shape_i{1}(AdvancedSubtensor.0), Shape_i{0}(AdvancedSubtensor.0)]]

Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer): File "train/train.py", line 84, in mid_layer_type = BLSTMLayer, forget=False) File "/misc/me/rohits/aaron-cnn-lstm-ctc/layers/net.py", line 40, in init blank = options['blank'], log_space = True) File "/misc/me/rohits/aaron-cnn-lstm-ctc/layers/ctc_layer.py", line 25, in init self.log_ctc(labels_len_const = labels_len_const) File "/misc/me/rohits/aaron-cnn-lstm-ctc/layers/ctc_layer.py", line 94, in log_ctc x1 = self.x[:, T.arange(n_samples)[:, None], self.y]