Traceback (most recent call last):


 "/usr/local/lib/python3.7/site-packages/blockchainetl/jobs/base_job.py", line 28, in run

self._export()


 "/usr/local/lib/python3.7/site-packages/ethereumetl/jobs/export_token_transfers_job.py", line 62, in _export

total_items=self.end_block - self.start_block + 1


 "/usr/local/lib/python3.7/site-packages/ethereumetl/executors/batch_work_executor.py", line 59, in execute

self.executor.submit(self._fail_safe_execute, work_handler, batch)


 "/usr/local/lib/python3.7/site-packages/ethereumetl/executors/fail_safe_executor.py", line 31, in submit

self._check_completed_futures()


 "/usr/local/lib/python3.7/site-packages/ethereumetl/executors/fail_safe_executor.py", line 47, in _check_completed_futures

future.result()


 "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/concurrent/futures/_base.py", line 428, in result

return self.__get_result()


 "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/concurrent/futures/_base.py", line 384, in __get_result

raise self._exception


 "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/concurrent/futures/thread.py", line 57, in run

result = self.fn(*self.args, **self.kwargs)


 "/usr/local/lib/python3.7/site-packages/ethereumetl/executors/batch_work_executor.py", line 63, in _fail_safe_execute

work_handler(batch)


 "/usr/local/lib/python3.7/site-packages/ethereumetl/jobs/export_token_transfers_job.py", line 77, in _export_batch

event_filter = self.web3.eth.filter(filter_params)


 "/usr/local/lib/python3.7/site-packages/web3/eth.py", line 332, in filter

[filter_params],


 "/usr/local/lib/python3.7/site-packages/web3/manager.py", line 112, in request_blocking

raise ValueError(response["error"])
ValueError: {'code': -32601, 'message': 'The method eth_newFilter does not exist/is not available'}

Traceback (most recent call last):


 "D:/project/Pytorch-UNet-master/train.py", line 181, in <module>

val_percent=args.val / 100)


 "D:/project/Pytorch-UNet-master/train.py", line 80, in train_net

loss = criterion(masks_pred, true_masks)


 "D:\Python\lib\site-packages\torch\nn\modules\module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "D:\Python\lib\site-packages\torch\nn\modules\loss.py", line 601, in forward

reduction=self.reduction)


 "D:\Python\lib\site-packages\torch\nn\functional.py", line 2112, in binary_cross_entropy_with_logits

raise ValueError("Target size ({}) must be the same as input size ({})".format(target.size(), input.size()))
ValueError: Target size (torch.Size([1, 3, 256, 256])) must be the same as input size (torch.Size([1, 1, 256, 256]))
