Comments (1)
Traceback (most recent call last):
File "E:\Anaconda3\envs\new\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "E:\Anaconda3\envs\new\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "E:\Anaconda3\envs\new\Scripts\nnictl.exe_main.py", line 7, in
File "E:\Anaconda3\envs\new\lib\site-packages\nni\tools\nnictl\nnictl.py", line 503, in parse_args
args.func(args)
File "E:\Anaconda3\envs\new\lib\site-packages\nni\tools\nnictl\launcher.py", line 91, in create_experiment
exp.start(port, debug, RunMode.Detach)
File "E:\Anaconda3\envs\new\lib\site-packages\nni\experiment\experiment.py", line 135, in start
self._start_impl(port, debug, run_mode, None, [])
File "E:\Anaconda3\envs\new\lib\site-packages\nni\experiment\experiment.py", line 94, in _start_impl
config = self.config.canonical_copy()
File "E:\Anaconda3\envs\new\lib\site-packages\nni\experiment\config\base.py", line 166, in canonical_copy
canon._canonicalize([])
File "E:\Anaconda3\envs\new\lib\site-packages\nni\experiment\config\experiment_config.py", line 123, in _canonicalize
if algo is not None and algo.name == 'none': # type: ignore
AttributeError: 'dict' object has no attribute 'name'
出现以上报错
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Related Issues (20)
- 【请求】数据集上传到平台 HOT 1
- 不同batch size时inference结果不同 HOT 1
- 关于nni训练 HOT 1
- Is it possible to share the trained weights? Thanks HOT 3
- Error on single image inference, thanks HOT 7
- Hyperparameters to replicate the paper's results HOT 6
- How to get a pretrained backbone? HOT 2
- Which hyperparameter should be set by individually HOT 5
- 关于nni训练nni.report_intermediate_result在trial中只输出一次信息的问题 HOT 1
- Some questions about reproducibility
- Inference for images? HOT 1
- 载入预训练好的权重的推理结果 HOT 1
- 请问文中提出的包含AVA, FLICKR- AES和TAD66的测试集可以提供吗? HOT 1
- 请问我该如何产生您展示的视频demo
- Results interpretation
- Apply for supplementary material
- 您好,抱歉打扰您,请问我该怎么做才能对单张图像测试,相关代码可以提供吗?万分感谢
- LCC and SRCC values got smaller and smaller as the number of training epoch increased.
- The inference effect is very poor
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