Forward
In PyTorch, forward is the module method that defines how inputs are transformed into outputs during a forward pass.
Deep Learning with PyTorch, Second Edition
The standard module-computation entry point in PyTorch, invoked by __call__ and used for the main forward pass.
- How it is used
- Defines the main computation of callable PyTorch modules and custom neural-network components.
- How deep it goes
- Explains method definition, submodule use, invocation mechanics, hooks, and autograd’s implicit backward pass.
- Examples
- Demonstrates nn.Linear invocation and a convolutional Net whose forward method reshapes intermediate tensors.
- What you can do after
- Build custom nn.Module subclasses with explicit data-flow logic and invoke them safely through the module call interface.
Read how Deep Learning with PyTorch, Second Edition explains forward →
Math and Architectures of Deep Learning
The PyTorch module method that defines how inputs are transformed into outputs during a forward pass.
- How it is used
- Defines the computation a PyTorch module performs during a forward pass and supplies outputs for loss calculation.
- How deep it goes
- Explains module structure, Sequential execution, and model invocation, but does not descend into forward's internal autograd mechanics.
- Examples
- Uses demand prediction with linear layers and a sample convolutional neural network with Conv2d layers.
- What you can do after
- Apply it via PyTorch by defining a module's layers and returning their transformed input from forward.
Read how Math and Architectures of Deep Learning explains forward →
Related concepts
- normal distributionproduces · A normal distribution is a continuous probability distribution with a symmetric, bell-shaped density determined by its mean and variance.
- torch.nn.Moduleimplemented by · torch.nn.Module is PyTorch’s base class for neural-network components that encapsulate computation, parameters, and submodules.
- classpart of · A class is a programming-language construct that defines a type’s structure or behavior and provides a basis for creating or representing objects.
- scikit-learnequivalent to · scikit-learn is an open-source Python library providing tools for classical machine learning, including algorithms, preprocessing, model selection, and evaluation.
- functional APIuses · A functional API is an interface that exposes operations as callable functions, with operation inputs supplied through function arguments rather than method-owned state.
- callbackused by · A callback is a function or other callable supplied to software for invocation later in response to a specified event, condition, or point in execution.
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