Update ops-related pbtxt files.

PiperOrigin-RevId: 155524343

2 files changed, 198 insertions, 0 deletions

diff --git a/tensorflow/core/ops/compat/ops_history.v1.pbtxt b/tensorflow/core/ops/compat/ops_history.v1.pbtxt
index bc40715acc..d67cda2ae2 100644
--- a/tensorflow/core/ops/compat/ops_history.v1.pbtxt
+++ b/tensorflow/core/ops/compat/ops_history.v1.pbtxt
@@ -21572,6 +21572,99 @@ op {
   is_stateful: true
 }
 op {
+  name: "SparseCross"
+  input_arg {
+    name: "indices"
+    type: DT_INT64
+    number_attr: "N"
+  }
+  input_arg {
+    name: "values"
+    type_list_attr: "sparse_types"
+  }
+  input_arg {
+    name: "shapes"
+    type: DT_INT64
+    number_attr: "N"
+  }
+  input_arg {
+    name: "dense_inputs"
+    type_list_attr: "dense_types"
+  }
+  output_arg {
+    name: "output_indices"
+    type: DT_INT64
+  }
+  output_arg {
+    name: "output_values"
+    type_attr: "out_type"
+  }
+  output_arg {
+    name: "output_shape"
+    type: DT_INT64
+  }
+  attr {
+    name: "N"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "hashed_output"
+    type: "bool"
+  }
+  attr {
+    name: "num_buckets"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "hash_key"
+    type: "int"
+  }
+  attr {
+    name: "sparse_types"
+    type: "list(type)"
+    has_minimum: true
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  attr {
+    name: "dense_types"
+    type: "list(type)"
+    has_minimum: true
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  attr {
+    name: "out_type"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  attr {
+    name: "internal_type"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+}
+op {
   name: "SparseDenseCwiseAdd"
   input_arg {
     name: "sp_indices"
diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt
index 06e88e8a52..7635bc84ee 100644
--- a/tensorflow/core/ops/ops.pbtxt
+++ b/tensorflow/core/ops/ops.pbtxt
@@ -22475,6 +22475,111 @@ op {
   is_stateful: true
 }
 op {
+  name: "SparseCross"
+  input_arg {
+    name: "indices"
+    description: "2-D.  Indices of each input `SparseTensor`."
+    type: DT_INT64
+    number_attr: "N"
+  }
+  input_arg {
+    name: "values"
+    description: "1-D.   values of each `SparseTensor`."
+    type_list_attr: "sparse_types"
+  }
+  input_arg {
+    name: "shapes"
+    description: "1-D.   Shapes of each `SparseTensor`."
+    type: DT_INT64
+    number_attr: "N"
+  }
+  input_arg {
+    name: "dense_inputs"
+    description: "2-D.    Columns represented by dense `Tensor`."
+    type_list_attr: "dense_types"
+  }
+  output_arg {
+    name: "output_indices"
+    description: "2-D.  Indices of the concatenated `SparseTensor`."
+    type: DT_INT64
+  }
+  output_arg {
+    name: "output_values"
+    description: "1-D.  Non-empty values of the concatenated or hashed\n`SparseTensor`."
+    type_attr: "out_type"
+  }
+  output_arg {
+    name: "output_shape"
+    description: "1-D.  Shape of the concatenated `SparseTensor`."
+    type: DT_INT64
+  }
+  attr {
+    name: "N"
+    type: "int"
+    has_minimum: true
+  }
+  attr {
+    name: "hashed_output"
+    type: "bool"
+    description: "If true, returns the hash of the cross instead of the string.\nThis will allow us avoiding string manipulations."
+  }
+  attr {
+    name: "num_buckets"
+    type: "int"
+    description: "It is used if hashed_output is true.\noutput = hashed_value%num_buckets if num_buckets > 0 else hashed_value."
+    has_minimum: true
+  }
+  attr {
+    name: "hash_key"
+    type: "int"
+    description: "Specify the hash_key that will be used by the `FingerprintCat64`\nfunction to combine the crosses fingerprints."
+  }
+  attr {
+    name: "sparse_types"
+    type: "list(type)"
+    has_minimum: true
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  attr {
+    name: "dense_types"
+    type: "list(type)"
+    has_minimum: true
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  attr {
+    name: "out_type"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  attr {
+    name: "internal_type"
+    type: "type"
+    allowed_values {
+      list {
+        type: DT_INT64
+        type: DT_STRING
+      }
+    }
+  }
+  summary: "Generates sparse cross from a list of sparse and dense tensors."
+  description: "The op takes two lists, one of 2D `SparseTensor` and one of 2D `Tensor`, each\nrepresenting features of one feature column. It outputs a 2D `SparseTensor` with\nthe batchwise crosses of these features.\n\nFor example, if the inputs are\n\n    inputs[0]: SparseTensor with shape = [2, 2]\n    [0, 0]: \"a\"\n    [1, 0]: \"b\"\n    [1, 1]: \"c\"\n\n    inputs[1]: SparseTensor with shape = [2, 1]\n    [0, 0]: \"d\"\n    [1, 0]: \"e\"\n\n    inputs[2]: Tensor [[\"f\"], [\"g\"]]\n\nthen the output will be\n\n    shape = [2, 2]\n    [0, 0]: \"a_X_d_X_f\"\n    [1, 0]: \"b_X_e_X_g\"\n    [1, 1]: \"c_X_e_X_g\"\n\nif hashed_output=true then the output will be\n\n    shape = [2, 2]\n    [0, 0]: FingerprintCat64(\n                Fingerprint64(\"f\"), FingerprintCat64(\n                    Fingerprint64(\"d\"), Fingerprint64(\"a\")))\n    [1, 0]: FingerprintCat64(\n                Fingerprint64(\"g\"), FingerprintCat64(\n                    Fingerprint64(\"e\"), Fingerprint64(\"b\")))\n    [1, 1]: FingerprintCat64(\n                Fingerprint64(\"g\"), FingerprintCat64(\n                    Fingerprint64(\"e\"), Fingerprint64(\"c\")))"
+}
+op {
   name: "SparseDenseCwiseAdd"
   input_arg {
     name: "sp_indices"