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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-01-27 13:10:15 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-01-27 13:30:03 -0800 |
| commit | 43c2f2f3058d56fad95aa32d0efb30b06ab24758 (patch) | |
| tree | b038b3a908af4cd5b08c67fb6b88a26619e712f5 /tensorflow/python/training/adagrad.py | |
| parent | 5480f326da105f466d12d33333c0482b8e5a631d (diff) | |
Enables all optimizers for dense resource variables.
Also fixes small bug with saving partitioned resource variables.
Change: 145828125
Diffstat (limited to 'tensorflow/python/training/adagrad.py')
| -rw-r--r-- | tensorflow/python/training/adagrad.py | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/tensorflow/python/training/adagrad.py b/tensorflow/python/training/adagrad.py index 9646c5c228..e23b0d4381 100644 --- a/tensorflow/python/training/adagrad.py +++ b/tensorflow/python/training/adagrad.py @@ -78,6 +78,15 @@ class AdagradOptimizer(optimizer.Optimizer): grad, use_locking=self._use_locking) + def _resource_apply_dense(self, grad, var): + acc = self.get_slot(var, "accumulator") + return training_ops.resource_apply_adagrad( + var, + acc.handle, + math_ops.cast(self._learning_rate_tensor, grad.dtype.base_dtype), + grad, + use_locking=self._use_locking) + def _apply_sparse(self, grad, var): acc = self.get_slot(var, "accumulator") return training_ops.sparse_apply_adagrad( |