pylibwholegraph.torch.embedding.WholeMemoryEmbedding

class pylibwholegraph.torch.embedding.WholeMemoryEmbedding(wmb_embedding: PyWholeMemoryEmbedding, wmb_optimizer: Optional[WholeMemoryOptimizer], wmb_cache_policy: Optional[WholeMemoryCachePolicy])

WholeMemory Embedding

Attributes:

shape

Methods

add_gradients
apply_gradients
dim
drop_all_cache
gather
get_embedding_tensor
get_optimizer_state
get_optimizer_state_names
load
need_grad
save
set_adjust_cache
writeback_all_cache

__init__(wmb_embedding: PyWholeMemoryEmbedding, wmb_optimizer: Optional[WholeMemoryOptimizer], wmb_cache_policy: Optional[WholeMemoryCachePolicy])

Methods

__init__(wmb_embedding, wmb_optimizer, ...)
add_gradients(indice, grad_outputs)
apply_gradients(lr)
dim()
drop_all_cache()
gather(indice, *[, is_training, force_dtype])
get_embedding_tensor()
get_optimizer_state(state_name)
get_optimizer_state_names()
load(file_prefix, *[, ignore_embedding, ...])
need_grad()
save(file_prefix)
set_adjust_cache(adjust_cache)
writeback_all_cache()

Attributes

shape