Data loss error while executing TF cholec

[mhymavathiprashanthi]

I am trying to implement the code in my PC. Started with tfcholec . I am getting error ,please suggest what can be done .i have tried restart of tensor flow ,anaconda and my system as per Google and stackflow.I am using Python 3.8.5 . Can I think the error is because of that ?

Code executed: import matplotlib.pyplot as plt from tf_cholec80.dataset import make_cholec80 #import tensorflow as tf import tensorflow.compat.v1 as tf tf.disable_v2_behavior()

ds = make_cholec80( 12, # batch size config_path="E:/IIITG/ELS/Technical/Code/TF-Cholec80-master/TF-Cholec80-master/tf_cholec80/configs/config.json", # path to dataset config file video_ids=[0, 3, 78], # ids to pick mode="FRAME" # operation mode ds.element_spec

iterator = tf.compat.v1.data.make_one_shot_iterator(ds) return_dict = iterator.get_next()

with tf.compat.v1.Session() as sess: return_dict_np = sess.run(return_dict)

I am getting below error ,Is it because I am using Python 3.8.5

---

DataLossError Traceback (most recent call last) ~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 1374 try: -> 1375 return fn(*args) 1376 except errors.OpError as e:

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata) 1358 self._extend_graph() -> 1359 return self._call_tf_sessionrun(options, feed_dict, fetch_list, 1360 target_list, run_metadata)

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata) 1450 run_metadata): -> 1451 return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict, 1452 fetch_list, target_list,

DataLossError: corrupted record at 0 [[{{node IteratorGetNext}}]]

During handling of the above exception, another exception occurred:

DataLossError Traceback (most recent call last) in 1 with tf.compat.v1.Session() as sess: ----> 2 return_dict_np = sess.run(return_dict)

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata) 965 966 try: --> 967 result = self._run(None, fetches, feed_dict, options_ptr, 968 run_metadata_ptr) 969 if run_metadata:

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata) 1188 # or if the call is a partial run that specifies feeds. 1189 if final_fetches or final_targets or (handle and feed_dict_tensor): -> 1190 results = self._do_run(handle, final_targets, final_fetches, 1191 feed_dict_tensor, options, run_metadata) 1192 else:

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 1366 1367 if handle is None: -> 1368 return self._do_call(_run_fn, feeds, fetches, targets, options, 1369 run_metadata) 1370 else:

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 1392 '\nsession_config.graph_options.rewrite_options.' 1393 'disable_meta_optimizer = True') -> 1394 raise type(e)(node_def, op, message) 1395 1396 def _extend_graph(self):

DataLossError: corrupted record at 0 [[node IteratorGetNext (defined at :2) ]]

Errors may have originated from an input operation. Input Source operations connected to node IteratorGetNext: OneShotIterator (defined at :1)

Original stack trace for 'IteratorGetNext': File "C:\Users\mhpra\anaconda3\lib\runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "C:\Users\mhpra\anaconda3\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel_launcher.py", line 16, in app.launch_new_instance() File "C:\Users\mhpra\anaconda3\lib\site-packages\traitlets\config\application.py", line 845, in launch_instance app.start() File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 612, in start self.io_loop.start() File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 149, in start self.asyncio_loop.run_forever() File "C:\Users\mhpra\anaconda3\lib\asyncio\base_events.py", line 570, in run_forever self._run_once() File "C:\Users\mhpra\anaconda3\lib\asyncio\base_events.py", line 1859, in _run_once handle._run() File "C:\Users\mhpra\anaconda3\lib\asyncio\events.py", line 81, in _run self._context.run(self._callback, *self._args) File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\ioloop.py", line 690, in lambda f: self._run_callback(functools.partial(callback, future)) File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\ioloop.py", line 743, in _run_callback ret = callback() File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\gen.py", line 787, in inner self.run() File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\gen.py", line 748, in run yielded = self.gen.send(value) File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 365, in process_one yield gen.maybe_future(dispatch(*args)) File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 268, in dispatch_shell yield gen.maybe_future(handler(stream, idents, msg)) File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 543, in execute_request self.do_execute( File "C:\Users\mhpra\anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 306, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "C:\Users\mhpra\anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 536, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "C:\Users\mhpra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2877, in run_cell result = self._run_cell( File "C:\Users\mhpra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2923, in _run_cell return runner(coro) File "C:\Users\mhpra\anaconda3\lib\site-packages\IPython\core\async_helpers.py", line 68, in pseudo_sync_runner coro.send(None) File "C:\Users\mhpra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3146, in run_cell_async has_raised = await self.run_ast_nodes(code_ast.body, cell_name, File "C:\Users\mhpra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3338, in run_ast_nodes if (await self.run_code(code, result, async=asy)): File "C:\Users\mhpra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3418, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 2, in return_dict = iterator.get_next() File "C:\Users\mhpra\anaconda3\lib\site-packages\tensorflow\python\data\ops\iterator_ops.py", line 416, in get_next flat_ret = gen_dataset_ops.iterator_get_next( File "C:\Users\mhpra\anaconda3\lib\site-packages\tensorflow\python\ops\gen_dataset_ops.py", line 2747, in iterator_get_next _, _, _op, _outputs = _op_def_library._apply_op_helper( File "C:\Users\mhpra\anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 748, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "C:\Users\mhpra\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3557, in _create_op_internal ret = Operation( File "C:\Users\mhpra\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2045, in init self._traceback = tf_stack.extract_stack_for_node(self._c_op)