hub / github.com/alibaba/nann / _num_present

Function _num_present

tensorflow/tensorflow/python/ops/losses/losses_impl.py:90–129 · view source on GitHub ↗

Computes the number of elements in the loss function induced by `weights`. A given weights tensor induces different numbers of usable elements in the `losses` tensor. The `weights` tensor is broadcast across `losses` for all possible dimensions. For example, if `losses` is a tensor of dimensi

(losses, weights, per_batch=False)

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Callers 2

compute_weighted_lossFunction · 0.70

mean_pairwise_squared_errorFunction · 0.70

Calls 8

executing_eagerlyMethod · 0.80

reduce_sumMethod · 0.80

_num_elementsFunction · 0.70

_rankMethod · 0.45

name_scopeMethod · 0.45

castMethod · 0.45

rangeMethod · 0.45

rankMethod · 0.45

Tested by

no test coverage detected