1 /* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
2
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 #include <stdint.h>
16
17 #include <vector>
18
19 #include <gtest/gtest.h>
20 #include "tensorflow/lite/kernels/test_util.h"
21 #include "tensorflow/lite/schema/schema_generated.h"
22
23 namespace tflite {
24 namespace {
25
26 using ::testing::ElementsAre;
27
28 template <typename T>
29 class RangeOpModel : public SingleOpModel {
30 public:
RangeOpModel(const TensorType & dtype)31 explicit RangeOpModel(const TensorType& dtype) {
32 start_ = AddInput(dtype);
33 limit_ = AddInput(dtype);
34 delta_ = AddInput(dtype);
35 output_ = AddOutput(dtype);
36 SetBuiltinOp(BuiltinOperator_RANGE, BuiltinOptions_RangeOptions,
37 CreateRangeOptions(builder_).Union());
38 BuildInterpreter({GetShape(start_), GetShape(limit_), GetShape(delta_)});
39 }
40
start()41 int start() { return start_; }
limit()42 int limit() { return limit_; }
delta()43 int delta() { return delta_; }
44
GetOutput()45 std::vector<T> GetOutput() { return ExtractVector<T>(output_); }
GetOutputShape()46 std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
47
48 private:
49 int start_;
50 int limit_;
51 int delta_;
52 int output_;
53 };
54
TEST(RangeOpModel,Simple)55 TEST(RangeOpModel, Simple) {
56 RangeOpModel<int32_t> model(TensorType_INT32);
57 model.PopulateTensor<int32_t>(model.start(), {0});
58 model.PopulateTensor<int32_t>(model.limit(), {4});
59 model.PopulateTensor<int32_t>(model.delta(), {1});
60 ASSERT_EQ(model.Invoke(), kTfLiteOk);
61 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4));
62 EXPECT_THAT(model.GetOutput(), ElementsAre(0, 1, 2, 3));
63 }
64
TEST(RangeOpModel,DeltaGreaterThanOne)65 TEST(RangeOpModel, DeltaGreaterThanOne) {
66 RangeOpModel<int32_t> model(TensorType_INT32);
67 model.PopulateTensor<int32_t>(model.start(), {2});
68 model.PopulateTensor<int32_t>(model.limit(), {9});
69 model.PopulateTensor<int32_t>(model.delta(), {2});
70 ASSERT_EQ(model.Invoke(), kTfLiteOk);
71 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4));
72 EXPECT_THAT(model.GetOutput(), ElementsAre(2, 4, 6, 8));
73 }
74
TEST(RangeOpModel,NegativeDelta)75 TEST(RangeOpModel, NegativeDelta) {
76 RangeOpModel<int32_t> model(TensorType_INT32);
77 model.PopulateTensor<int32_t>(model.start(), {10});
78 model.PopulateTensor<int32_t>(model.limit(), {3});
79 model.PopulateTensor<int32_t>(model.delta(), {-3});
80 ASSERT_EQ(model.Invoke(), kTfLiteOk);
81 EXPECT_THAT(model.GetOutputShape(), ElementsAre(3));
82 EXPECT_THAT(model.GetOutput(), ElementsAre(10, 7, 4));
83 }
84
TEST(RangeOpModel,FloatSimple)85 TEST(RangeOpModel, FloatSimple) {
86 RangeOpModel<float> model(TensorType_FLOAT32);
87 model.PopulateTensor<float>(model.start(), {0});
88 model.PopulateTensor<float>(model.limit(), {4});
89 model.PopulateTensor<float>(model.delta(), {1});
90 ASSERT_EQ(model.Invoke(), kTfLiteOk);
91 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4));
92 EXPECT_THAT(model.GetOutput(), ElementsAre(0, 1, 2, 3));
93 }
94
TEST(RangeOpModel,FloatDeltaGreaterThanOne)95 TEST(RangeOpModel, FloatDeltaGreaterThanOne) {
96 RangeOpModel<float> model(TensorType_FLOAT32);
97 model.PopulateTensor<float>(model.start(), {2});
98 model.PopulateTensor<float>(model.limit(), {9});
99 model.PopulateTensor<float>(model.delta(), {2});
100 ASSERT_EQ(model.Invoke(), kTfLiteOk);
101 EXPECT_THAT(model.GetOutputShape(), ElementsAre(4));
102 EXPECT_THAT(model.GetOutput(), ElementsAre(2, 4, 6, 8));
103 }
104
TEST(RangeOpModel,FloatNegativeDelta)105 TEST(RangeOpModel, FloatNegativeDelta) {
106 RangeOpModel<float> model(TensorType_FLOAT32);
107 model.PopulateTensor<float>(model.start(), {10});
108 model.PopulateTensor<float>(model.limit(), {3});
109 model.PopulateTensor<float>(model.delta(), {-3});
110 ASSERT_EQ(model.Invoke(), kTfLiteOk);
111 EXPECT_THAT(model.GetOutputShape(), ElementsAre(3));
112 EXPECT_THAT(model.GetOutput(), ElementsAre(10, 7, 4));
113 }
114
TEST(RangeOpModel,EmptyOutput)115 TEST(RangeOpModel, EmptyOutput) {
116 RangeOpModel<int32_t> model(TensorType_INT32);
117 model.PopulateTensor<int32_t>(model.start(), {0});
118 model.PopulateTensor<int32_t>(model.limit(), {0});
119 model.PopulateTensor<int32_t>(model.delta(), {1});
120 ASSERT_EQ(model.Invoke(), kTfLiteOk);
121 EXPECT_THAT(model.GetOutputShape(), ElementsAre(0));
122 EXPECT_THAT(model.GetOutput(), ElementsAre());
123 }
124
125 } // namespace
126 } // namespace tflite
127