holm-aune-bachelor2018 / ctc Goto Github PK

hi,

I just can run the program with epoch_len=2 and as I increase it to even just 5, it stops with the following error. Therefore, I can not train the model on the entire database in each epoch.

Error:

tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at ctc_loss_op.cc:206 : Invalid argument: Saw a non-null label (index >= num_classes - 1) following a null label, batch: 0 num_classes: 29 labels: 26,9,16,0,28,5,0,3,15,4,0 labels seen so far: 26,9,16,0

Thanks in advance

should cumulate editdistance and length, then compute wer at end.

I trained and saved a model successfully, but when I load back the model, it gave this error:
I am working on Windows 10 with tensorflow r1.10.[<tf.Tensor 'classifier/Reshape_1:0' shape=(?, ?, 47) dtype=float32>, <tf.Tensor 'labels:0' shape=(?, ?) dtype=float32>, <tf.Tensor 'input_length:0' shape=(?, 1) dtype=float32>, <tf.Tensor 'label_length:0' shape=(?, 1) dtype=float32>] XXX lineno: 358, opcode: 47 Traceback (most recent call last): File "D:\11785\HW3\hw3p2-data-V2\runner.py", line 332, in <module> train() File "D:\11785\HW3\hw3p2-data-V2\runner.py", line 299, in train net = tf.keras.models.load_model("models/model_every_ckpt_best", custom_objects=custom_objects) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\engine\saving.py", line 229, in load_model model = model_from_config(model_config, custom_objects=custom_objects) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\engine\saving.py", line 306, in model_from_config return deserialize(config, custom_objects=custom_objects) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\layers\serialization.py", line 64, in deserialize printable_module_name='layer') File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py", line 173, in deserialize_keras_object list(custom_objects.items()))) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\engine\network.py", line 1219, in from_config process_node(layer, node_data) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\engine\network.py", line 1179, in process_node layer(input_tensors, **kwargs) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 736, in __call__ outputs = self.call(inputs, *args, **kwargs) File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\keras\layers\core.py", line 715, in call return self.function(inputs, **arguments) File "D:/11785/HW3/hw3p2-data-V2/modules.py", line 358, in ctc_lambda_func y_pred, labels, input_length, label_length = args SystemError: unknown opcode [Finished in 26.4s with exit code 1]
Seems the Lambda layer is causing this problem, do you know why?

i use predict.py to predict a file but plantext is not Unicode text. it like:
INFO:tensorflow:Inference results: [{'decoded': array([8, 8, 8]), 'plaintext': b'hhh'}]

how i can to predict in UTF-8, Unicode text