Class EmbeddingImpl

• Defined in File embedding.h

Inheritance Relationships

Base Type

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

Class Documentation

class EmbeddingImpl : public torch::nn::Cloneable<EmbeddingImpl>

Performs a lookup in a fixed size embedding table.

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

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

Example:

Embedding model(EmbeddingOptions(10,
2).padding_idx(3).max_norm(2).norm_type(2.5).scale_grad_by_freq(true).sparse(true));

Public Functions

inline EmbeddingImpl(int64_t num_embeddings, int64_t embedding_dim)

explicit EmbeddingImpl(EmbeddingOptions options_)

virtual void reset() override

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

void reset_parameters()

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

Pretty prints the Embedding module into the given stream.

Tensor forward(const Tensor &indices)

Performs a lookup on the embedding table stored in weight using the indices supplied and returns the result.

Public Members

EmbeddingOptions options

The Options used to configure this Embedding module.

Changes to EmbeddingOptions after construction have no effect.

Tensor weight

The embedding table.