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hub / github.com/alibaba/nann / UnconnectedGradients

Class UnconnectedGradients

tensorflow/tensorflow/python/ops/unconnected_gradients.py:27–43  ·  view source on GitHub ↗

Controls how gradient computation behaves when y does not depend on x. The gradient of y with respect to x can be zero in two different ways: there could be no differentiable path in the graph connecting x to y (and so we can statically prove that the gradient is zero) or it could be that run

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Callers 2

_GradientsHelperFunction · 0.90
imperative_gradFunction · 0.90

Calls

no outgoing calls

Tested by

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