this happened to me even after copying the files to data directory,
88e9fe53272d:image-classification vikumar$ python train_cifar10.py --network
resnet --num-layers 50
/Users/vikumar/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36:
FutureWarning: Conversion of the second argument of issubdtype from `float` to
`np.floating` is deprecated. In future, it will be treated as `np.float64 ==
np.dtype(float).type`.
from ._conv import register_converters as _register_converters
objc[43816]: Class CaptureDelegate is implemented in both
/usr/local/opt/opencv/lib/libopencv_videoio.3.4.dylib (0x10f345938) and
/Users/vikumar/anaconda3/lib/python3.6/site-packages/cv2/cv2.cpython-36m-darwin.so
(0x1a1b272ce0). One of the two will be used. Which one is undefined.
INFO:root:start with arguments Namespace(batch_size=128, benchmark=0,
brightness=0, contrast=0, data_nthreads=4, data_train='data/cifar10_train.rec',
data_train_idx='', data_val='data/cifar10_val.rec', data_val_idx='',
disp_batches=20, dtype='float32', fill_value=127, gc_threshold=0.5,
gc_type='none', gpus=None, image_shape='3,28,28', initializer='default',
kv_store='device', load_epoch=None, loss='', lr=0.05, lr_factor=0.1,
lr_step_epochs='200,250', macrobatch_size=0, max_crop_size=-1,
max_random_area=1, max_random_aspect_ratio=0, max_random_h=0, max_random_l=0,
max_random_rotate_angle=0, max_random_s=0, max_random_scale=1,
max_random_shear_ratio=0, min_crop_size=-1, min_random_area=1,
min_random_aspect_ratio=None, min_random_scale=1, model_prefix=None, mom=0.9,
monitor=0, network='resnet', num_classes=10, num_epochs=300,
num_examples=50000, num_layers=50, optimizer='sgd', pad_size=4, pca_noise=0,
profile_server_suffix='', profile_worker_suffix='', random_crop=0,
random_mirror=0, ra
ndom_resized_crop=0, rgb_mean='123.68,116.779,103.939', rgb_std='1,1,1',
saturation=0, save_period=1, test_io=0, top_k=0, warmup_epochs=5,
warmup_strategy='linear', wd=0.0001)
[13:07:51] src/io/iter_image_recordio_2.cc:170: ImageRecordIOParser2:
data/cifar10_train.rec, use 1 threads for decoding..
Traceback (most recent call last):
File "train_cifar10.py", line 76, in <module>
fit.fit(args, sym, data.get_rec_iter)
File
"/Users/vikumar/incubator-mxnet/example/image-classification/common/fit.py",
line 180, in fit
(train, val) = data_loader(args, kv)
File
"/Users/vikumar/incubator-mxnet/example/image-classification/common/data.py",
line 184, in get_rec_iter
part_index = rank)
File "/Users/vikumar/incubator-mxnet/python/mxnet/io/io.py", line 947, in
creator
return MXDataIter(iter_handle, **kwargs)
File "/Users/vikumar/incubator-mxnet/python/mxnet/io/io.py", line 806, in
__init__
self.first_batch = self.next()
File "/Users/vikumar/incubator-mxnet/python/mxnet/io/io.py", line 840, in next
check_call(_LIB.MXDataIterNext(self.handle, ctypes.byref(next_res)))
File "/Users/vikumar/incubator-mxnet/python/mxnet/base.py", line 252, in
check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [13:07:51] src/recordio.cc:125: Check failed: pbegin_ <=
pend_ Invalid RecordIO Format
Stack trace returned 10 entries:
[bt] (0) 0 libmxnet.so 0x000000010bbe9cd0
dmlc::StackTrace() + 272
[bt] (1) 1 libmxnet.so 0x000000010bbe9a7f
dmlc::LogMessageFatal::~LogMessageFatal() + 47
[bt] (2) 2 libmxnet.so 0x000000010d4498a9
dmlc::RecordIOChunkReader::NextRecord(dmlc::InputSplit::Blob*) + 345
[bt] (3) 3 libmxnet.so 0x000000010d0a897b
mxnet::io::ImageRecordIOParser2<float>::ParseChunk(float*, float*, unsigned
int, dmlc::InputSplit::Blob*) + 539
[bt] (4) 4 libmxnet.so 0x000000010d0ad13a
mxnet::io::ImageRecordIOParser2<float>::ParseNext(mxnet::DataBatch*) + 7610
[bt] (5) 5 libmxnet.so 0x000000010d081c63
dmlc::ThreadedIter<mxnet::DataBatch>::Init(std::__1::function<bool
(mxnet::DataBatch**)>, std::__1::function<void ()>)::'lambda'()::operator()()
const + 739
[bt] (6) 6 libmxnet.so 0x000000010d08188d void*
std::__1::__thread_proxy<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct,
std::__1::default_delete<std::__1::__thread_struct> >,
dmlc::ThreadedIter<mxnet::DataBatch>::Init(std::__1::function<bool
(mxnet::DataBatch**)>, std::__1::function<void ()>)::'lambda'()> >(void*) + 45
[bt] (7) 7 libsystem_pthread.dylib 0x00007fff9154b93b
_pthread_body + 180
[bt] (8) 8 libsystem_pthread.dylib 0x00007fff9154b887
_pthread_body + 0
[bt] (9) 9 libsystem_pthread.dylib 0x00007fff9154b08d
thread_start + 13
[ Full content available at:
https://github.com/apache/incubator-mxnet/issues/7450 ]
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