解释一下这段代码:!!python/tuple - - !!python/tuple - 10 - '1' - - !!python/tuple - 1 - 任务1 - !!python/tuple - 5 - 任务2 - - - !!python/tuple - 2 - 14 - null - 1 - !!python/tuple - 3 - 15 - null - 1 - !!python/tuple - 4 - 15 - null - 1 - !!python/tuple - 7 - 15 - null - 1 - - !!python/tuple - 6 - 14 - null - 5
时间: 2023-05-24 10:01:55 浏览: 235
这段代码是一个 YAML 格式的列表,包含了不同类型的嵌套的元组。其中每个元组包含两个或三个值,第一个是整型数值,第二个是字符串值,第三个可能是 null(空值)。最外层的列表包含了多个这样的元组嵌套,每个元组代表不同的任务和子任务,有些任务包含了子任务,有些任务没有子任务。
相关问题
解释一下yaml文件中这段代码的含义:!!python/tuple
这段代码将python中的tuple类型转换成yaml格式的写法。 "!!python/tuple"是yaml语言用于标识tuple类型的标签,后面跟随的是tuple的具体数值。Yaml文件是一种用于配置文件的格式,可读性好,以缩进的方式表示层次结构,被广泛应用于各种领域的配置文件中,比如服务器配置、持续集成、Android等等。
Traceback (most recent call last): File "E:/Pycharm_project/MNIST_two_input/test/save_image_feature.py", line 105, in <module> image = model(image) File "E:\Pycharm_project\MNIST_two_input\test\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "E:/Pycharm_project/MNIST_two_input/test/save_image_feature.py", line 61, in forward x = self.conv1(x) File "E:\Pycharm_project\MNIST_two_input\test\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "E:\Pycharm_project\MNIST_two_input\test\venv\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward return self._conv_forward(input, self.weight, self.bias) File "E:\Pycharm_project\MNIST_two_input\test\venv\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward return F.conv2d(input, weight, bias, self.stride, TypeError: conv2d() received an invalid combination of arguments - got (numpy.ndarray, Parameter, Parameter, tuple, tuple, tuple, int), but expected one of: * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups) didn't match because some of the arguments have invalid types: (!numpy.ndarray!, !Parameter!, !Parameter!, !tuple of (int, int)!, !tuple of (int, int)!, !tuple of (int, int)!, int) * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups) didn't match because some of the arguments have invalid types: (!numpy.ndarray!, !Parameter!, !Parameter!, !tuple of (int, int)!, !tuple of (int, int)!, !tuple of (int, int)!, int) 如何解决
这个错误是由于`conv2d()`函数的参数类型不正确导致的。该函数需要接收`Tensor`类型的输入,但是你传递了`numpy.ndarray`类型的输入。
要解决这个问题,你可以将输入数据转换为`Tensor`类型。你可以使用`torch.from_numpy()`函数将`numpy.ndarray`转换为`Tensor`。
具体来说,你可以将以下代码:
```python
image = model(image)
```
修改为:
```python
image = model(torch.from_numpy(image))
```
这样就可以将`numpy.ndarray`类型的输入转换为`Tensor`类型,然后传递给`conv2d()`函数。这样就能够解决这个错误了。
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