Struct CTCLossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

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

Struct Documentation

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

The Connectionist Temporal Classification loss.

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

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

Example:

CTCLoss
model(CTCLossOptions().blank(42).zero_infinity(false).reduction(torch::kSum));

Public Functions

explicit CTCLossImpl(CTCLossOptions 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 CTCLoss module into the given stream.

Tensor forward(const Tensor &log_probs, const Tensor &targets, const Tensor &input_lengths, const Tensor &target_lengths)

Public Members

CTCLossOptions options

The options with which this Module was constructed.