Struct MSELossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

• public torch::nn::Cloneable< MSELossImpl > (Template Class Cloneable)

Struct Documentation

struct MSELossImpl : public torch::nn::Cloneable<MSELossImpl>

Creates a criterion that measures the mean squared error (squared L2 norm) between each element in the input :math:x and target :math:y.

See https://pytorch.org/docs/main/nn.html#torch.nn.MSELoss to learn about the exact behavior of this module.

See the documentation for torch::nn::MSELossOptions class to learn what constructor arguments are supported for this module.

Example:

MSELoss model(MSELossOptions(torch::kNone));

Public Functions

explicit MSELossImpl(MSELossOptions options_ = {})

virtual void reset() override

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

virtual void pretty_print(std::ostream &stream) const override

Pretty prints the MSELoss module into the given stream.

Tensor forward(const Tensor &input, const Tensor &target)

Public Members

MSELossOptions options

The options with which this Module was constructed.