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Searched refs:experimental_use_pfor (Results 1 – 6 of 6) sorted by relevance

/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.-gradient-tape.pbtxt11 …\'source\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], vararg…
19 …'sources\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], vararg…
Dtensorflow.autodiff.-gradient-tape.pbtxt11 …\'source\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], vararg…
19 …'sources\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], vararg…
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.-gradient-tape.pbtxt11 …\'source\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], vararg…
19 …'sources\', \'unconnected_gradients\', \'parallel_iterations\', \'experimental_use_pfor\'], vararg…
/external/tensorflow/tensorflow/python/eager/
Dbackprop_test.py1680 def _jacobian(self, experimental_use_pfor): argument
1681 persistent = context.executing_eagerly and not experimental_use_pfor
1689 z, [x, y], experimental_use_pfor=experimental_use_pfor)
1695 jacobian, answer = self._jacobian(experimental_use_pfor=True)
1701 jacobian, answer = self._jacobian(experimental_use_pfor=False)
1710 return self._jacobian(experimental_use_pfor=True)
1721 return self._jacobian(experimental_use_pfor=False)
1736 g.jacobian(y, x, experimental_use_pfor=False)
1825 g.jacobian(output, inp, experimental_use_pfor=True),
1826 g.jacobian(output, inp, experimental_use_pfor=False))
[all …]
Dbackprop.py1095 experimental_use_pfor=True): argument
1173 if experimental_use_pfor:
1211 experimental_use_pfor=True): argument
1309 if experimental_use_pfor:
/external/tensorflow/tensorflow/python/training/experimental/
Dloss_scaling_gradient_tape.py188 experimental_use_pfor=True): argument
198 experimental_use_pfor=True): argument