Fix StaticVectors class
@@ -37,15 +37,14 @@ def forward(
if not len(docs):
return _handle_empty(model.ops, model.get_dim("nO"))
key_attr = model.attrs["key_attr"]
- W = cast(Floats2d, model.get_param("W"))
+ W = cast(Floats2d, model.ops.as_contig(model.get_param("W")))
V = cast(Floats2d, docs[0].vocab.vectors.data)
mask = _get_drop_mask(model.ops, W.shape[0], model.attrs.get("dropout_rate"))
-
rows = model.ops.flatten(
[doc.vocab.vectors.find(keys=doc.to_array(key_attr)) for doc in docs]
)
output = Ragged(
- model.ops.gemm(V[rows], W, trans2=True),
+ model.ops.gemm(model.ops.as_contig(V[rows]), W, trans2=True),
model.ops.asarray([len(doc) for doc in docs], dtype="i")
)
if mask is not None:
@@ -54,7 +53,14 @@ def forward(
def backprop(d_output: Ragged) -> List[Doc]:
if mask is not None:
d_output.data *= mask
- model.inc_grad("W", model.ops.gemm(d_output.data, V[rows], trans1=True))
+ model.inc_grad(
+ "W",
+ model.ops.gemm(
+ d_output.data,
+ model.ops.as_contig(V[rows]),
+ trans1=True
+ )
+ )
return []
return output, backprop
