IndexError: tensors used as indices must be long, int, byte or bool tensors

[haoyuandz]

[haoyuandz]

2024-12-09 15:20:16.178554: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2024-12-09 15:20:16.178647: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2024-12-09 15:20:17.751 | INFO | main::522 - 正在创建【快乐8】数据集...
2024-12-09 15:20:18.471 | INFO | common:get_data_run:122 - 【快乐8】最新一期期号：2024329
2024-12-09 15:20:18.471 | INFO | common:get_data_run:123 - 正在获取【快乐8】数据。。。
2024-12-09 15:20:21.480 | INFO | common:get_data_run:131 - 【快乐8】数据准备就绪，共1070期, 下一步可训练模型...
2024-12-09 15:20:21.480 | INFO | main:action:447 - 正在创建【快乐8】数据集...
100%|██████████████████████████████████████████████████████████████████████████████| 1026/1026 [00:33<00:00, 30.87it/s]
2024-12-09 15:20:54.929 | INFO | common:create_train_data:112 - 红球训练集数据维度: (1026, 6, 80)
100%|██████████████████████████████████████████████████████████████████████████████████| 34/34 [00:00<00:00, 37.29it/s]
2024-12-09 15:20:55.841 | INFO | common:create_train_data:112 - 红球测试集数据维度: (34, 6, 80)
2024-12-09 15:20:55.841 | INFO | main:action:486 - 开始训练【快乐8】红球模型...
2024-12-09 15:20:55.841 | INFO | main:train_ball_model:197 - 标签数据维度: (1026, 6, 80)
2024-12-09 15:20:56.445 | INFO | main:train_ball_model:246 - 系统将尝试读取最后版本继续训练！
2024-12-09 15:20:56.445 | INFO | main:load_model:179 - 没有找到红球模型，将重新训练！
2024-12-09 15:20:56.445 | INFO | main:train_ball_model:288 - 当前epoch是 0, 初次启动时间是 20241209152017, 最佳 分数是 1.00e+09, 最佳损失是 1.00e+09
0%| | 0/100 [00:00<?, ?it/s]Traceback (most recent call last):
File "run_train_model.py", line 564, in
run(args.name, list_windows_size)
File "run_train_model.py", line 511, in run
action(name)
File "run_train_model.py", line 488, in action
train_ball_model(name, dataset=red_train_data, test_dataset=red_test_data, sub_name="红球")
File "run_train_model.py", line 313, in train_ball_model
for batch in dataloader:
File "C:\Users\FlashD.conda\envs\windsurf_p3\lib\site-packages\prefetch_generator_init_.py", line 116, in next
raise next_item
File "C:\Users\FlashD.conda\envs\windsurf_p3\lib\site-packages\prefetch_generator_init_.py", line 98, in run
for item in self.generator: self.queue.put((True , item))
File "C:\Users\FlashD.conda\envs\windsurf_p3\lib\site-packages\torch\utils\data\dataloader.py", line 630, in next
data = self._next_data()
File "C:\Users\FlashD.conda\envs\windsurf_p3\lib\site-packages\torch\utils\data\dataloader.py", line 673, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "C:\Users\FlashD.conda\envs\windsurf_p3\lib\site-packages\torch\utils\data_utils\fetch.py", line 52, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\Users\FlashD.conda\envs\windsurf_p3\lib\site-packages\torch\utils\data_utils\fetch.py", line 52, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\Users\FlashD\P3pro\modeling.py", line 490, in getitem
x_hot = binary_encode_array(x, self.num_classes)
File "C:\Users\FlashD\P3pro\modeling.py", line 38, in binary_encode_array
binary_encoded_array[i, number - 1] = 1.0 # Adjust index for 0-based indexing
IndexError: tensors used as indices must be long, int, byte or bool tensors
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