TrainData

[jaycelol10]

iam using cuda with single gpu , first i did the same like you and that error show up

--- Epoch 0 ---

--- Phase train ---

BrokenPipeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_7520/1387622654.py in
14 print(f"--- Phase {phase} ---")
15 epoch_metrics = {"loss": [], "acc": []}
---> 16 for batch_i, (X, y) in enumerate(dataloaders[phase]):
17 print()
18 #iteration = iteration+1

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data\dataloader.py in iter(self)
357 return self._iterator
358 else:
--> 359 return self._get_iterator()
360
361 @Property

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data\dataloader.py in _get_iterator(self)
303 else:
304 self.check_worker_number_rationality()
--> 305 return _MultiProcessingDataLoaderIter(self)
306
307 @Property

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data\dataloader.py in init(self, loader)
916 # before it starts, and del tries to join but will get:
917 # AssertionError: can only join a started process.
--> 918 w.start()
919 self._index_queues.append(index_queue)
920 self._workers.append(w)

~\AppData\Local\Programs\Python\Python37\lib\multiprocessing\process.py in start(self)
110 'daemonic processes are not allowed to have children'
111 _cleanup()
--> 112 self._popen = self._Popen(self)
113 self._sentinel = self._popen.sentinel
114 # Avoid a refcycle if the target function holds an indirect

~\AppData\Local\Programs\Python\Python37\lib\multiprocessing\context.py in _Popen(process_obj)
221 @staticmethod
222 def _Popen(process_obj):
--> 223 return _default_context.get_context().Process._Popen(process_obj)
224
225 class DefaultContext(BaseContext):

~\AppData\Local\Programs\Python\Python37\lib\multiprocessing\context.py in _Popen(process_obj)
320 def _Popen(process_obj):
321 from .popen_spawn_win32 import Popen
--> 322 return Popen(process_obj)
323
324 class SpawnContext(BaseContext):

~\AppData\Local\Programs\Python\Python37\lib\multiprocessing\popen_spawn_win32.py in init(self, process_obj)
63 try:
64 reduction.dump(prep_data, to_child)
---> 65 reduction.dump(process_obj, to_child)
66 finally:
67 set_spawning_popen(None)

~\AppData\Local\Programs\Python\Python37\lib\multiprocessing\reduction.py in dump(obj, file, protocol)
58 def dump(obj, file, protocol=None):
59 '''Replacement for pickle.dump() using ForkingPickler.'''
---> 60 ForkingPickler(file, protocol).dump(obj)
61
62 #

BrokenPipeError: [Errno 32] Broken pipe

Then i have removerd Num_worker = 4 from train_loader and this error show up , can u please help me ?

--- Epoch 0 ---

--- Phase train ---

TypeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_7520/1651256458.py in
14 print(f"--- Phase {phase} ---")
15 epoch_metrics = {"loss": [], "acc": []}
---> 16 for batch_i, (X, y) in enumerate(dataloaders[phase]):
17 print("available")
18 #iteration = iteration+1

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data\dataloader.py in next(self)
519 if self._sampler_iter is None:
520 self._reset()
--> 521 data = self._next_data()
522 self._num_yielded += 1
523 if self._dataset_kind == _DatasetKind.Iterable and \

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data\dataloader.py in _next_data(self)
559 def _next_data(self):
560 index = self._next_index() # may raise StopIteration
--> 561 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
562 if self._pin_memory:
563 data = _utils.pin_memory.pin_memory(data)

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data_utils\fetch.py in fetch(self, possibly_batched_index)
42 def fetch(self, possibly_batched_index):
43 if self.auto_collation:
---> 44 data = [self.dataset[idx] for idx in possibly_batched_index]
45 else:
46 data = self.dataset[possibly_batched_index]

~\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\utils\data_utils\fetch.py in (.0)
42 def fetch(self, possibly_batched_index):
43 if self.auto_collation:
---> 44 data = [self.dataset[idx] for idx in possibly_batched_index]
45 else:
46 data = self.dataset[possibly_batched_index]

~\AppData\Local\Temp/ipykernel_7520/3273416116.py in getitem(self, idx)
11 seq_img = list()
12 for i in range(16):
---> 13 img1 = img[:,128i:128(i+1),:]
14 if(self.transform):
15 img1 = self.transform(img1)

TypeError: 'NoneType' object is not subscriptable

[sanchit2843]

Hello, the code is very old and most of the stuff is probably deprecated, you can use this code as reference to write your own code, but I would suggest you to use some other repository.

[v-user1098new]

@jaycelol10 Did your error get solved. If it did please let me know the solution.