C2W1 Assignment: Error during training data

Course Q&A TensorFlow Developer Professional Convolutional Neural Networks in TensorFlow
1

Hi,

I am getting below error. Please help.

Epoch 1/15
302/450 [===================>..........] - ETA: 24s - loss: 0.6632 - accuracy: 0.6211

/usr/local/lib/python3.9/dist-packages/PIL/TiffImagePlugin.py:819: UserWarning: Truncated File Read
  warnings.warn(str(msg))

327/450 [====================>.........] - ETA: 19s - loss: 0.6565 - accuracy: 0.6264

---------------------------------------------------------------------------

UnknownError                              Traceback (most recent call last)

<ipython-input-95-4fd84b04e1cf> in <module>
      4 # Train the model
      5 # Note that this may take some time.
----> 6 history = model.fit(train_generator,
      7                     epochs=15,
      8                     verbose=1,

1 frames

/usr/local/lib/python3.9/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     50   try:
     51     ctx.ensure_initialized()
---> 52     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     53                                         inputs, attrs, num_outputs)
     54   except core._NotOkStatusException as e:

UnknownError: Graph execution error:

2 root error(s) found.
  (0) UNKNOWN:  UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fdee85014f0>
Traceback (most recent call last):

  File "/usr/local/lib/python3.9/dist-packages/tensorflow/python/ops/script_ops.py", line 271, in __call__
    ret = func(*args)

  File "/usr/local/lib/python3.9/dist-packages/tensorflow/python/autograph/impl/api.py", line 642, in wrapper
    return func(*args, **kwargs)

  File "/usr/local/lib/python3.9/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1039, in generator_py_func
    values = next(generator_state.get_iterator(iterator_id))

  File "/usr/local/lib/python3.9/dist-packages/keras/engine/data_adapter.py", line 901, in wrapped_generator
    for data in generator_fn():

  File "/usr/local/lib/python3.9/dist-packages/keras/engine/data_adapter.py", line 1048, in generator_fn
    yield x[i]

  File "/usr/local/lib/python3.9/dist-packages/keras/preprocessing/image.py", line 116, in __getitem__
    return self._get_batches_of_transformed_samples(index_array)

  File "/usr/local/lib/python3.9/dist-packages/keras/preprocessing/image.py", line 370, in _get_batches_of_transformed_samples
    img = image_utils.load_img(

  File "/usr/local/lib/python3.9/dist-packages/keras/utils/image_utils.py", line 423, in load_img
    img = pil_image.open(io.BytesIO(f.read()))

  File "/usr/local/lib/python3.9/dist-packages/PIL/Image.py", line 3030, in open
    raise UnidentifiedImageError(

PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fdee85014f0>


	 [[{{node PyFunc}}]]
	 [[IteratorGetNext]]
	 [[IteratorGetNext/_7]]
  (1) UNKNOWN:  UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fdee85014f0>
Traceback (most recent call last):

  File "/usr/local/lib/python3.9/dist-packages/tensorflow/python/ops/script_ops.py", line 271, in __call__
    ret = func(*args)

  File "/usr/local/lib/python3.9/dist-packages/tensorflow/python/autograph/impl/api.py", line 642, in wrapper
    return func(*args, **kwargs)

  File "/usr/local/lib/python3.9/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1039, in generator_py_func
    values = next(generator_state.get_iterator(iterator_id))

  File "/usr/local/lib/python3.9/dist-packages/keras/engine/data_adapter.py", line 901, in wrapped_generator
    for data in generator_fn():

  File "/usr/local/lib/python3.9/dist-packages/keras/engine/data_adapter.py", line 1048, in generator_fn
    yield x[i]

  File "/usr/local/lib/python3.9/dist-packages/keras/preprocessing/image.py", line 116, in __getitem__
    return self._get_batches_of_transformed_samples(index_array)

  File "/usr/local/lib/python3.9/dist-packages/keras/preprocessing/image.py", line 370, in _get_batches_of_transformed_samples
    img = image_utils.load_img(

  File "/usr/local/lib/python3.9/dist-packages/keras/utils/image_utils.py", line 423, in load_img
    img = pil_image.open(io.BytesIO(f.read()))

  File "/usr/local/lib/python3.9/dist-packages/PIL/Image.py", line 3030, in open
    raise UnidentifiedImageError(

PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fdee85014f0>


	 [[{{node PyFunc}}]]
	 [[IteratorGetNext]]
0 successful operations.
0 derived errors ignored. [Op:__inference_train_function_10769]

thanks
Bonny

2

Did your implementation of create_train_val_dirs print the following lines while creating the training and validation sets?

666.jpg is zero length, so ignoring.
11702.jpg is zero length, so ignoring.
3

Thanks @balaji.ambresh . I just realized it that I missed that condition. I am modifying the code.