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Diffstat (limited to 'tensorflow/python/eager/backprop.py')
| -rw-r--r-- | tensorflow/python/eager/backprop.py | 9 |
1 files changed, 8 insertions, 1 deletions
diff --git a/tensorflow/python/eager/backprop.py b/tensorflow/python/eager/backprop.py index deac29111f..44ce69ee60 100644 --- a/tensorflow/python/eager/backprop.py +++ b/tensorflow/python/eager/backprop.py @@ -868,6 +868,7 @@ class GradientTape(object): Raises: RuntimeError: if called inside the context of the tape, or if called more than once on a non-persistent tape. + ValueError: if called on variable target. """ if self._tape is None: raise RuntimeError("GradientTape.gradient can only be called once on " @@ -887,6 +888,12 @@ class GradientTape(object): "gradient in order to compute higher order " "derrivatives.", 1) + flat_targets = nest.flatten(target) + for t in flat_targets: + if resource_variable_ops.is_resource_variable(t): + raise ValueError("GradientTape.gradient is not supported for variable " + "targets.") + flat_sources = nest.flatten(sources) flat_sources = [_handle_or_self(x) for x in flat_sources] @@ -896,7 +903,7 @@ class GradientTape(object): flat_grad = imperative_grad.imperative_grad( self._tape, - nest.flatten(target), + flat_targets, flat_sources, output_gradients=output_gradients) |