Implement Log operator.

PiperOrigin-RevId: 199735191

1 files changed, 14 insertions, 4 deletions

diff --git a/tensorflow/contrib/lite/kernels/elementwise_test.cc b/tensorflow/contrib/lite/kernels/elementwise_test.cc
index 412ffb04b9..10e88d5a31 100644
--- a/tensorflow/contrib/lite/kernels/elementwise_test.cc
+++ b/tensorflow/contrib/lite/kernels/elementwise_test.cc
@@ -24,12 +24,13 @@ namespace {
 
 using ::testing::ElementsAreArray;
 
-class SinOpModel : public SingleOpModel {
+class ElementWiseOpModel : public SingleOpModel {
  public:
-  SinOpModel(std::initializer_list<int> input_shape) {
+  ElementWiseOpModel(BuiltinOperator op,
+                     std::initializer_list<int> input_shape) {
     input_ = AddInput(TensorType_FLOAT32);
     output_ = AddOutput(TensorType_FLOAT32);
-    SetBuiltinOp(BuiltinOperator_SIN, BuiltinOptions_NONE, 0);
+    SetBuiltinOp(op, BuiltinOptions_NONE, 0);
     BuildInterpreter({input_shape});
   }
 
@@ -42,7 +43,7 @@ class SinOpModel : public SingleOpModel {
 };
 
 TEST(ElementWise, Sin) {
-  SinOpModel m({1, 1, 4, 1});
+  ElementWiseOpModel m(BuiltinOperator_SIN, {1, 1, 4, 1});
   m.PopulateTensor<float>(m.input(), {0, 3.1415926, -3.1415926, 1});
   m.Invoke();
   EXPECT_THAT(m.ExtractVector<float>(m.output()),
@@ -50,6 +51,15 @@ TEST(ElementWise, Sin) {
   EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
 }
 
+TEST(ElementWise, Log) {
+  ElementWiseOpModel m(BuiltinOperator_LOG, {1, 1, 4, 1});
+  m.PopulateTensor<float>(m.input(), {1, 3.1415926, 1, 1});
+  m.Invoke();
+  EXPECT_THAT(m.ExtractVector<float>(m.output()),
+              ElementsAreArray(ArrayFloatNear({0, 1.14473, 0, 0})));
+  EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
+}
+
 }  // namespace
 }  // namespace tflite