Merge changes from github.

PiperOrigin-RevId: 179953488

1 files changed, 58 insertions, 0 deletions

diff --git a/tensorflow/contrib/libsvm/ops/libsvm_ops.cc b/tensorflow/contrib/libsvm/ops/libsvm_ops.cc
new file mode 100644
index 0000000000..dec946189e
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+++ b/tensorflow/contrib/libsvm/ops/libsvm_ops.cc
@@ -0,0 +1,58 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/core/framework/common_shape_fns.h"
+#include "tensorflow/core/framework/op.h"
+#include "tensorflow/core/framework/shape_inference.h"
+
+namespace tensorflow {
+
+using shape_inference::InferenceContext;
+
+REGISTER_OP("DecodeLibsvm")
+    .Input("input: string")
+    .Output("label: label_dtype")
+    .Output("feature_indices: int64")
+    .Output("feature_values: dtype")
+    .Output("feature_shape: int64")
+    .Attr("dtype: {float, double, int32, int64} = DT_FLOAT")
+    .Attr("label_dtype: {float, double, int32, int64} = DT_INT64")
+    .Attr("num_features: int >= 1")
+    .SetShapeFn([](InferenceContext* c) {
+      c->set_output(0, c->input(0));
+
+      c->set_output(1, c->Matrix(InferenceContext::kUnknownDim,
+                                 InferenceContext::kUnknownDim));
+      c->set_output(2, c->Vector(InferenceContext::kUnknownDim));
+      c->set_output(3, c->Vector(InferenceContext::kUnknownDim));
+
+      return Status::OK();
+    })
+
+    .Doc(R"doc(
+Convert LibSVM input to tensors. The output consists of
+a label and a feature tensor. The shape of the label tensor
+is the same as input and the shape of the feature tensor is
+`[input_shape, num_features]`.
+
+input: Each string is a record in the LibSVM.
+label: A tensor of the same shape as input.
+feature_indices: A 2-D int64 tensor of dense_shape [N, ndims].
+feature_values: A 1-D tensor of any type and dense_shape [N].
+feature_shape: A 1-D int64 tensor of dense_shape [ndims].
+num_features: The number of features.
+)doc");
+
+}  // namespace tensorflow