diff options
| author |  Yuefeng Zhou <yuefengz@google.com> | 2018-10-09 09:32:50 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-09 09:44:34 -0700 |
| commit | 3e1a0792fb593953860162d57320c8602fd199eb (patch) | |
| tree | 472db16bea0c18741ddc311f321305c1265c611f /tensorflow/core/ops | |
| parent | 87d8055c74a65ec9fb2a13f38e6e2c5d30b7e2e4 (diff) | |
Create SDCAOptimizerV2 op to fix the "adaptative" typo.
PiperOrigin-RevId: 216370193
Diffstat (limited to 'tensorflow/core/ops')
| -rw-r--r-- | tensorflow/core/ops/sdca_ops.cc | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/tensorflow/core/ops/sdca_ops.cc b/tensorflow/core/ops/sdca_ops.cc index fdf53a55dd..51d248f2d6 100644 --- a/tensorflow/core/ops/sdca_ops.cc +++ b/tensorflow/core/ops/sdca_ops.cc @@ -65,6 +65,34 @@ REGISTER_OP("SdcaOptimizer") .Output("out_delta_dense_weights: num_dense_features * float") .SetShapeFn(ApplySdcaOptimizerShapeFn); +// The SdcaOptimizerV2 op fixes the "adaptative" typo in v1. +REGISTER_OP("SdcaOptimizerV2") + .Attr( + "loss_type: {'logistic_loss', 'squared_loss', 'hinge_loss'," + "'smooth_hinge_loss', 'poisson_loss'}") + .Attr("adaptive : bool=false") + .Attr("num_sparse_features: int >= 0") + .Attr("num_sparse_features_with_values: int >= 0") + .Attr("num_dense_features: int >= 0") + .Attr("l1: float") + .Attr("l2: float") + .Attr("num_loss_partitions: int >= 1") + .Attr("num_inner_iterations: int >= 1") + .Input("sparse_example_indices: num_sparse_features * int64") + .Input("sparse_feature_indices: num_sparse_features * int64") + .Input("sparse_feature_values: num_sparse_features_with_values * float") + .Input("dense_features: num_dense_features * float") + .Input("example_weights: float") + .Input("example_labels: float") + .Input("sparse_indices: num_sparse_features * int64") + .Input("sparse_weights: num_sparse_features * float") + .Input("dense_weights: num_dense_features * float") + .Input("example_state_data: float") + .Output("out_example_state_data: float") + .Output("out_delta_sparse_weights: num_sparse_features * float") + .Output("out_delta_dense_weights: num_dense_features * float") + .SetShapeFn(ApplySdcaOptimizerShapeFn); + REGISTER_OP("SdcaShrinkL1") .Attr("num_features: int >= 0") .Attr("l1: float") |