Internal Change.

PiperOrigin-RevId: 175307445

1 files changed, 94 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/embedding_lookup_test.cc b/tensorflow/contrib/lite/kernels/embedding_lookup_test.cc
new file mode 100644
index 0000000000..8c030b0677
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/embedding_lookup_test.cc
@@ -0,0 +1,94 @@
+/* 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.
+==============================================================================*/
+// Unit test for TFLite Lookup op.
+
+#include <iomanip>
+#include <vector>
+
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include "tensorflow/contrib/lite/interpreter.h"
+#include "tensorflow/contrib/lite/kernels/register.h"
+#include "tensorflow/contrib/lite/kernels/test_util.h"
+#include "tensorflow/contrib/lite/model.h"
+
+namespace tflite {
+namespace {
+
+using ::testing::ElementsAreArray;
+
+class EmbeddingLookupOpModel : public SingleOpModel {
+ public:
+  EmbeddingLookupOpModel(std::initializer_list<int> index_shape,
+                         std::initializer_list<int> weight_shape) {
+    input_ = AddInput(TensorType_INT32);
+    weight_ = AddInput(TensorType_FLOAT32);
+    output_ = AddOutput(TensorType_FLOAT32);
+    SetBuiltinOp(BuiltinOperator_EMBEDDING_LOOKUP, BuiltinOptions_NONE, 0);
+    BuildInterpreter({index_shape, weight_shape});
+  }
+
+  void SetInput(std::initializer_list<int> data) {
+    PopulateTensor(input_, data);
+  }
+
+  void Set3DWeightMatrix(const std::function<float(int, int, int)>& function) {
+    TfLiteTensor* tensor = interpreter_->tensor(weight_);
+    int rows = tensor->dims->data[0];
+    int columns = tensor->dims->data[1];
+    int features = tensor->dims->data[2];
+    for (int i = 0; i < rows; i++) {
+      for (int j = 0; j < columns; j++) {
+        for (int k = 0; k < features; k++) {
+          tensor->data.f[(i * columns + j) * features + k] = function(i, j, k);
+        }
+      }
+    }
+  }
+
+  std::vector<float> GetOutput() { return ExtractVector<float>(output_); }
+
+ private:
+  int input_;
+  int weight_;
+  int output_;
+};
+
+// TODO(ahentz): write more tests that exercise the details of the op, such as
+// lookup errors and variable input shapes.
+TEST(EmbeddingLookupOpTest, SimpleTest) {
+  EmbeddingLookupOpModel m({3}, {3, 2, 4});
+  m.PopulateTensor<int>(0, {1, 0, 2});
+  m.Set3DWeightMatrix(
+      [](int i, int j, int k) { return i + j / 10.0f + k / 100.0f; });
+
+  m.Invoke();
+
+  EXPECT_THAT(m.GetOutput(),
+              ElementsAreArray(ArrayFloatNear({
+                  1.00, 1.01, 1.02, 1.03, 1.10, 1.11, 1.12, 1.13,  // Row 1
+                  0.00, 0.01, 0.02, 0.03, 0.10, 0.11, 0.12, 0.13,  // Row 0
+                  2.00, 2.01, 2.02, 2.03, 2.10, 2.11, 2.12, 2.13,  // Row 2
+              })));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  // On Linux, add: tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}