提交 d3656ff3 编写于 作者: C ceci3

test=develop

test=develop
上级 5f343b0e
...@@ -10695,13 +10695,11 @@ def npair_loss(anchor, positive, labels, l2_reg=0.002): ...@@ -10695,13 +10695,11 @@ def npair_loss(anchor, positive, labels, l2_reg=0.002):
labels = reshape(labels, shape=[batch_size, 1], inplace=True) labels = reshape(labels, shape=[batch_size, 1], inplace=True)
labels = expand(labels, expand_times=[1, batch_size]) labels = expand(labels, expand_times=[1, batch_size])
labels = control_flow.equal( labels = equal(labels, transpose(labels, perm=[1, 0])).astype('float32')
labels, transpose(
labels, perm=[1, 0])).astype('float32')
labels = labels / reduce_sum(labels, dim=1, keep_dim=True) labels = labels / reduce_sum(labels, dim=1, keep_dim=True)
l2loss = reduce_mean(reduce_sum(ops.square(anchor), 1)) \ l2loss = reduce_mean(reduce_sum(square(anchor), 1)) \
+ reduce_mean(reduce_sum(ops.square(positive), 1)) + reduce_mean(reduce_sum(square(positive), 1))
l2loss = l2loss * Beta * l2_reg l2loss = l2loss * Beta * l2_reg
similarity_matrix = matmul( similarity_matrix = matmul(
......
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