WebDec 8, 2024 · import os import torch # Assumes an in-place build to find all .pyi files rootdir = os.path.dirname (os.path.abspath (torch.__file__)) filepaths = [] for subdir, dirs, files in os.walk (rootdir): for f in files: if f.endswith (".pyi"): os.path.join (subdir, f) filepaths.append (subdir + os.sep + f) for filepath in sorted (filepaths): print ("- [ … Webappend(module) [source] Appends a given module to the end of the list. Parameters: module ( nn.Module) – module to append Return type: ModuleList extend(modules) [source] Appends modules from a Python iterable to the end of the list. Parameters: modules ( iterable) – iterable of modules to append Return type: ModuleList
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WebSep 6, 2024 · You can first construct a python list of nn.Modules and unpack it into a nn.Sequential import torch.nn as nn modules = [] modules.append (nn.Linear (10, 10)) modules.append (nn.Linear (10, 10)) sequential = nn.Sequential (*modules) 40 Likes jingweiz (Jingweiz) September 6, 2024, 11:40am 3 Ah that’s neat, thanks WebThis is functionally the # same as the above code model = nn.Sequential(OrderedDict( [ ('conv1', nn.Conv2d(1,20,5)), ('relu1', nn.ReLU()), ('conv2', nn.Conv2d(20,64,5)), ('relu2', nn.ReLU()) ])) append(module) [source] Appends a given module to the end. Parameters: module ( nn.Module) – module to append Return type: Sequential hamlin county conservation district
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WebChatGPT的回答仅作参考: 以下是一个使用PyTorch进行原地运算的Python代码示例: ```python import torch # 创建一个张量 x = torch.tensor([1, 2, 3]) # 原地加上一个标量 x.add_(2) # 输出结果 print(x) ``` 在上面的代码中,我们首先创建了一个张量 `x`,然后使用 `add_` 方法原地加上了一个标量 2。 WebApr 7, 2024 · You can add a new axis with torch.unsqueeze () (first argument being the index of the new axis): >>> a = torch.zeros (4, 5, 6) >>> a = a.unsqueeze (2) >>> a.shape … WebApr 8, 2024 · By default, this LLM uses the “text-davinci-003” model. We can pass in the argument model_name = ‘gpt-3.5-turbo’ to use the ChatGPT model. It depends what you want to achieve, sometimes the default davinci model works better than gpt-3.5. The temperature argument (values from 0 to 2) controls the amount of randomness in the … burnt ember