Distributed communication package - torch.distributed Basics Initialization TCP initialization Shared file-system initialization Environment variable initialization Groups Po...

FAQ Questions Common issues FAQ Below is a list of frequently asked questions and common issues encountered. Questions Question What models are recommended? Answer S...

torch.utils.ffi 译者署名 torch.utils.ffi torch . utils . ffi . create_extension ( name , headers , sources , verbose = True , with_cuda = False , package = False , relative_...

torch.utils.ffi torch.utils.ffi 译者：@之茗 校对者：@aleczhang torch . utils . ffi . create_extension ( name , headers , sources , verbose = True , with_cuda = False , packa...

torch.utils.model_zoo torch.utils.model_zoo 译者：BXuan694 torch . utils . model_zoo . load_url ( url , model_dir = None , map_location = None , progress = True ) 由给定UR...

DocumentArray Construct Access elements Bulk access contents Bulk access to attributes Import/Export Sharing DocumentArray across machines Embed via model Find nearest neigh...

torch.hub torch.hub 译者：kunwuz torch . hub . load ( github , model , force_reload = False , * args , ** kwargs ) 从github上加载一个带有预训练权重的模型。 参数: github – 必需，一个字符...

torch.utils.model_zoo 译者署名 torch.utils.model_zoo torch . utils . model_zoo . load_url ( url , model_dir = None ) 在给定URL上加载Torch序列化对象。 如果对象已经存在于model_dir 中，则将被反序列化并返回。URL...

Conclusion Conclusion In this chapter we explored the foundations of deep learning, beginning with matrix multiplication and moving on to implementing the forward and backward ...