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svlandeg 2022-01-20 16:09:54 +01:00
parent 5903138ab6
commit f8672c4dc2
1 changed files with 4 additions and 3 deletions
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7
spacy/ml/tb_framework.py
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@ -211,8 +211,9 @@ def forward(model, docs_moves: Tuple[List[Doc], TransitionSystem], is_train: boo
return (states, all_scores), backprop_parser
def _forward_reference(model, docs_moves: Tuple[List[Doc], TransitionSystem], is_train: bool):
def _forward_reference(
model, docs_moves: Tuple[List[Doc], TransitionSystem], is_train: bool
):
"""Slow reference implementation, without the precomputation"""
nF = model.get_dim("nF")
tok2vec = model.get_ref("tok2vec")
@ -300,7 +301,7 @@ def _forward_reference(model, docs_moves: Tuple[List[Doc], TransitionSystem], is
d_statevecs = model.ops.gemm(d_scores, upper_W)
# Backprop through the maxout activation
d_preacts = model.ops.backprop_maxout(d_statevecs, which, nP)
d_preacts2f = model.ops.reshape2f(d_preacts, d_preacts.shape[0], nH*nP)
d_preacts2f = model.ops.reshape2f(d_preacts, d_preacts.shape[0], nH * nP)
# Now increment the gradients for the lower layer.
# The gemm here is (nS, nH*nP) @ (nS, nF*nI)
model.inc_grad("lower_b", d_preacts2f.sum(axis=0))