torch.typename(module))) elif not isinstance(name, torch._six.string_classes): raise TypeError("module name should be a string. Got {}".format( torch.typename(name))) elif hasattr(self, name) and name not in sel
elif not isinstance(name, torch._six.string_classes): raise TypeError("parameter name should be a string. " "Got {}".format(torch.typename(name))) elif '.' in name: raise KeyError("parameter name can't contain \".\"") elif name == '': raise KeyError("parameter name can't be em...
=None:difficult = obj.find('difficult').textcls = obj.find('name').textif cls not in classes or int(difficult)==1:continuecls_id = classes.index(cls)xmlbox = obj.find('bndbox')b = (int(float(xmlbox.find('xmin').text)), int(float(xmlbox.find('ymin').text)), int(float(xml...
='string_': ifelem_type.__name__=='ndarray'orelem_type.__name__=='memmap': # array of string classes and object ifnp_str_obj_array_pattern.search(elem.dtype.str)isnotNone: raiseTypeError(default_collate_err_msg_format.format(elem.dtype)) returndefault_collate([torch.as_tensor(b)for...
神经网络训练在数据管理上可能很难做到“大规模”。 PyTorch 最近已经出现在我的圈子里,尽管对Keras和TensorFlow感到满意,但我还是不得不尝试一下。令人惊讶的是,我发现它非常令人耳目一新,非常讨人喜欢,尤其是PyTorch 提供了一个PythonicAPI、一个更为固执己见的编程模式和一组很好的内置实用程序函数。我特别喜欢的...
();returnval;}};staticauto testStack=torch::class_<MyStackClass<std::string>>("myclasses","MyStackClass").def(torch::init<std::vector<std::string>>()).def("push",&MyStackClass<std::string>::push).def("pop",&MyStackClass<std::string>::pop).def("size",[](constc10::intrusive_...
torch::class_<MyStackClass<std::string>>("myclasses", "MyStackClass").def(torch::init<std::vector<std::string>>()).def("push", &MyStackClass<std::string>::push).def("pop", &MyStackClass<std::string>::pop).def("size", [](const c10::intrusive_ptr<MyStackClass>& self) { r...
用register_float_function指明后面的函数需要使用float类型。注意第二实参是string类型 和register_float_function相似的注册函数还有 amp.register_half_function(module, function_name) amp.register_float_function(module, function_name) amp.register_promote_function(module, function_name) ...
filename (string): path to a file Returns: bool: True if the filename ends with a known image extension """ filename_lower = filename.lower() return any(filename_lower.endswith(ext) for ext in IMG_EXTENSIONS) def find_classes(dir): ...