From 931353c5f79c2d419afb3a5ecac59184c5558351 Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <gardener@tensorflow.org>
Date: Tue, 9 Oct 2018 11:37:29 -0700
Subject: Update ops-related pbtxt files.

PiperOrigin-RevId: 216392772
---
 tensorflow/core/ops/compat/ops_history.v1.pbtxt | 119 ++++++++++++++++++++++++
 tensorflow/core/ops/ops.pbtxt                   | 119 ++++++++++++++++++++++++
 2 files changed, 238 insertions(+)

(limited to 'tensorflow/core')

diff --git a/tensorflow/core/ops/compat/ops_history.v1.pbtxt b/tensorflow/core/ops/compat/ops_history.v1.pbtxt
index 9df0ece69b..dcea70dffb 100644
--- a/tensorflow/core/ops/compat/ops_history.v1.pbtxt
+++ b/tensorflow/core/ops/compat/ops_history.v1.pbtxt
@@ -58500,6 +58500,125 @@ op {
     minimum: 1
   }
 }
+op {
+  name: "SdcaOptimizerV2"
+  input_arg {
+    name: "sparse_example_indices"
+    type: DT_INT64
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "sparse_feature_indices"
+    type: DT_INT64
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "sparse_feature_values"
+    type: DT_FLOAT
+    number_attr: "num_sparse_features_with_values"
+  }
+  input_arg {
+    name: "dense_features"
+    type: DT_FLOAT
+    number_attr: "num_dense_features"
+  }
+  input_arg {
+    name: "example_weights"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "example_labels"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "sparse_indices"
+    type: DT_INT64
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "sparse_weights"
+    type: DT_FLOAT
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "dense_weights"
+    type: DT_FLOAT
+    number_attr: "num_dense_features"
+  }
+  input_arg {
+    name: "example_state_data"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "out_example_state_data"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "out_delta_sparse_weights"
+    type: DT_FLOAT
+    number_attr: "num_sparse_features"
+  }
+  output_arg {
+    name: "out_delta_dense_weights"
+    type: DT_FLOAT
+    number_attr: "num_dense_features"
+  }
+  attr {
+    name: "loss_type"
+    type: "string"
+    allowed_values {
+      list {
+        s: "logistic_loss"
+        s: "squared_loss"
+        s: "hinge_loss"
+        s: "smooth_hinge_loss"
+        s: "poisson_loss"
+      }
+    }
+  }
+  attr {
+    name: "adaptive"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "num_sparse_features"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "num_sparse_features_with_values"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "num_dense_features"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "l1"
+    type: "float"
+  }
+  attr {
+    name: "l2"
+    type: "float"
+  }
+  attr {
+    name: "num_loss_partitions"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "num_inner_iterations"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+}
 op {
   name: "SdcaShrinkL1"
   input_arg {
diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt
index 2048ad26ac..93a297458f 100644
--- a/tensorflow/core/ops/ops.pbtxt
+++ b/tensorflow/core/ops/ops.pbtxt
@@ -28140,6 +28140,125 @@ op {
     minimum: 1
   }
 }
+op {
+  name: "SdcaOptimizerV2"
+  input_arg {
+    name: "sparse_example_indices"
+    type: DT_INT64
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "sparse_feature_indices"
+    type: DT_INT64
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "sparse_feature_values"
+    type: DT_FLOAT
+    number_attr: "num_sparse_features_with_values"
+  }
+  input_arg {
+    name: "dense_features"
+    type: DT_FLOAT
+    number_attr: "num_dense_features"
+  }
+  input_arg {
+    name: "example_weights"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "example_labels"
+    type: DT_FLOAT
+  }
+  input_arg {
+    name: "sparse_indices"
+    type: DT_INT64
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "sparse_weights"
+    type: DT_FLOAT
+    number_attr: "num_sparse_features"
+  }
+  input_arg {
+    name: "dense_weights"
+    type: DT_FLOAT
+    number_attr: "num_dense_features"
+  }
+  input_arg {
+    name: "example_state_data"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "out_example_state_data"
+    type: DT_FLOAT
+  }
+  output_arg {
+    name: "out_delta_sparse_weights"
+    type: DT_FLOAT
+    number_attr: "num_sparse_features"
+  }
+  output_arg {
+    name: "out_delta_dense_weights"
+    type: DT_FLOAT
+    number_attr: "num_dense_features"
+  }
+  attr {
+    name: "loss_type"
+    type: "string"
+    allowed_values {
+      list {
+        s: "logistic_loss"
+        s: "squared_loss"
+        s: "hinge_loss"
+        s: "smooth_hinge_loss"
+        s: "poisson_loss"
+      }
+    }
+  }
+  attr {
+    name: "adaptive"
+    type: "bool"
+    default_value {
+      b: false
+    }
+  }
+  attr {
+    name: "num_sparse_features"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "num_sparse_features_with_values"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "num_dense_features"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "l1"
+    type: "float"
+  }
+  attr {
+    name: "l2"
+    type: "float"
+  }
+  attr {
+    name: "num_loss_partitions"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+  attr {
+    name: "num_inner_iterations"
+    type: "int"
+    has_minimum: true
+    minimum: 1
+  }
+}
 op {
   name: "SdcaShrinkL1"
   input_arg {
-- 
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