Unverified50% confidenceFactExact time
In PyTorch, every model module that inherits from nn.Module must implement the forward method; when input x is provided, the framework automatically triggers forward to complete the computation.
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9/11/2026
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UnverifiedIn PyTorch, the nn.Module class defines neural network structures by inheriting from it and overriding the forward() method, while the framework automatically handles low-level details such as parameter registration, gradient computation, and device migration.71% similarUnverifiedPyTorch's forward function is the core method of nn.Module, defining the forward propagation path from input to output.66% similarUnverifiedA standard PyTorch model class typically contains two core functions: __init__ (which defines model layers and parameter initialization) and forward (which describes the data flow of the forward computation).66% similarUnverifiedTransformers的核心定位是模型定义框架（model-definition framework），在PyTorch、TensorFlow等现有框架之上提供统一的模型接口和预训练权重管理65% similarUnverifiedTransformer架构在每次推理时必须处理完整的输入序列，代理执行到第N步时输入上下文必须包含前N-1步的完整执行轨迹65% similar
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