Test 5 min video #2

emotionnet-worker-video | [2022-10-10 00:06:08,266: WARNING/ForkPoolWorker-2] 394855
  0%|          | 0/1 [00:00<?, ?it/s] 00:06:08,266: WARNING/ForkPoolWorker-2]
emotionnet-worker-video | [2022-10-10 00:06:08,266: INFO/ForkPoolWorker-2]      Start training 1 epoches...
  0%|          | 0/1 [00:03<?, ?it/s] 00:06:11,737: WARNING/ForkPoolWorker-2]
emotionnet-worker-video | [2022-10-10 00:06:11,737: ERROR/ForkPoolWorker-2] The size of tensor a (7) must match the size of tensor b (10) at non-singleton dimension 1
emotionnet-worker-video | Traceback (most recent call last):
emotionnet-worker-video |   File "/code/ml/train_audio.py", line 586, in train
emotionnet-worker-video |     val_loss, val_acc, predictions = validate(X_val_tensor, Y_val_tensor)
emotionnet-worker-video |   File "/code/ml/train_audio.py", line 155, in validate
emotionnet-worker-video |     loss = loss_fnc(output_logits, Y)
emotionnet-worker-video |   File "/code/ml/train_audio.py", line 543, in loss_fnc
emotionnet-worker-video |     return nn.L1Loss()(input=predictions, target=targets)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
emotionnet-worker-video |     return forward_call(*input, **kwargs)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/loss.py", line 96, in forward
emotionnet-worker-video |     return F.l1_loss(input, target, reduction=self.reduction)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/torch/nn/functional.py", line 3248, in l1_loss
emotionnet-worker-video |     expanded_input, expanded_target = torch.broadcast_tensors(input, target)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/torch/functional.py", line 73, in broadcast_tensors
emotionnet-worker-video |     return _VF.broadcast_tensors(tensors)  # type: ignore[attr-defined]
emotionnet-worker-video | RuntimeError: The size of tensor a (7) must match the size of tensor b (10) at non-singleton dimension 1
emotionnet-worker-video | [2022-10-10 00:06:11,766: INFO/ForkPoolWorker-2] Connected to database postgresql://root:********@emotionnet-pg_db:5432/emotion
emotionnet-worker-video | [2022-10-10 00:06:11,785: ERROR/ForkPoolWorker-2] Task train_audio[88f2034b-9f62-41c4-83af-18dedc02305f] raised unexpected: TypeError('Object of type RuntimeError is not JSON serializable')
emotionnet-worker-video | Traceback (most recent call last):
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/celery/app/trace.py", line 451, in trace_task
emotionnet-worker-video |     R = retval = fun(*args, **kwargs)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/celery/app/trace.py", line 734, in __protected_call__
emotionnet-worker-video |     return self.run(*args, **kwargs)
emotionnet-worker-video |   File "/code/app/worker.py", line 217, in create_task_train_audio
emotionnet-worker-video |     async_to_sync(update_train_version_desabled_result)(train_version_id, result)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/asgiref/sync.py", line 218, in __call__
emotionnet-worker-video |     return call_result.result()
emotionnet-worker-video |   File "/usr/local/lib/python3.8/concurrent/futures/_base.py", line 437, in result
emotionnet-worker-video |     return self.__get_result()
emotionnet-worker-video |   File "/usr/local/lib/python3.8/concurrent/futures/_base.py", line 389, in __get_result
emotionnet-worker-video |     raise self._exception
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/asgiref/sync.py", line 284, in main_wrap
emotionnet-worker-video |     result = await self.awaitable(*args, **kwargs)
emotionnet-worker-video |   File "/code/app/query_databse/train/query_update.py", line 30, in update_train_version_desabled_result
emotionnet-worker-video |     await database.fetch_one(query)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/databases/core.py", line 148, in fetch_one
emotionnet-worker-video |     return await connection.fetch_one(query, values)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/databases/core.py", line 257, in fetch_one
emotionnet-worker-video |     return await self._connection.fetch_one(built_query)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/databases/backends/postgres.py", line 188, in fetch_one
emotionnet-worker-video |     query_str, args, result_columns = self._compile(query)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/databases/backends/postgres.py", line 254, in _compile
emotionnet-worker-video |     args = [
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/databases/backends/postgres.py", line 255, in <listcomp>
emotionnet-worker-video |     processors[key](val) if key in processors else val
emotionnet-worker-video |   File "/usr/local/lib/python3.8/site-packages/sqlalchemy/sql/sqltypes.py", line 2664, in process
emotionnet-worker-video |     serialized = json_serializer(value)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/json/__init__.py", line 231, in dumps
emotionnet-worker-video |     return _default_encoder.encode(obj)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/json/encoder.py", line 199, in encode
emotionnet-worker-video |     chunks = self.iterencode(o, _one_shot=True)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/json/encoder.py", line 257, in iterencode
emotionnet-worker-video |     return _iterencode(o, 0)
emotionnet-worker-video |   File "/usr/local/lib/python3.8/json/encoder.py", line 179, in default
emotionnet-worker-video |     raise TypeError(f'Object of type {o.__class__.__name__} '
emotionnet-worker-video | TypeError: Object of type RuntimeError is not JSON serializable