Tutaj błąd:
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Traceback (most recent call last):
File ~\Documents\Vsiate\lib\site-packages\spyder_kernels\py3compat.py:356 in compat_exec
exec(code, globals, locals)
File c:\users\robert\desktop\ai\ai spyder.py:352
output_logits = model(input_data_padded, input_lengths)
File ~\Documents\Vsiate\lib\site-packages\torch\nn\modules\module.py:1130 in _call_impl
return forward_call(*input, **kwargs)
File c:\users\robert\desktop\ai\ai spyder.py:295 in forward
packed_embedded = pack_padded_sequence(embedded, input_lengths, batch_first=True, enforce_sorted=False)
File ~\Documents\Vsiate\lib\site-packages\torch\nn\utils\rnn.py:260 in pack_padded_sequence
_VF._pack_padded_sequence(input, lengths, batch_first)
RuntimeError: Length of all samples has to be greater than 0, but found an element in 'lengths' that is <= 0
a tu część kodu z którą mam problemy
input_data = [torch.tensor([1, 2, 3]), torch.tensor([4, 5])]
output_data = [torch.tensor([6, 7, 8, 9]), torch.tensor([10, 11, 12])]
max_length = max(len(input_seq) for input_seq in input_data)
for i in range(len(input_sequences)):
input_sequence = input_sequences[i]
output_sequence = output_sequences[i]
input_tensor = torch.tensor([word_to_index[word] for word in input_sequence.split()], dtype=torch.long)
output_tensor = torch.tensor([word_to_index[word] for word in output_sequence.split()], dtype=torch.long)
input_data.append(input_tensor)
output_data.append(output_tensor)
input_data.extend([input_tensor] * (oversampling_factor * num_previous_responses))
output_data.extend([output_tensor] * (oversampling_factor * num_previous_responses))
input_data = pad_sequence(input_data, batch_first=True)
output_data = pad_sequence(output_data, batch_first=True)
padded_input_data = pad_sequence(input_data, batch_first=True, padding_value=0)
padded_output_data = pad_sequence(output_data, batch_first=True, padding_value=0)
problem jest z tym że program widzi zero a nie powinno tak być