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1 /* Copyright 2017 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 
16 #include "tensorflow/compiler/xla/status_macros.h"
17 
18 #include "tensorflow/compiler/xla/statusor.h"
19 #include "tensorflow/compiler/xla/test.h"
20 #include "tensorflow/compiler/xla/test_helpers.h"
21 #include "tensorflow/core/lib/core/errors.h"
22 
23 namespace xla {
24 
RetCheckFail()25 Status RetCheckFail() {
26   TF_RET_CHECK(2 > 3);
27   return Status::OK();
28 }
29 
RetCheckFailWithExtraMessage()30 Status RetCheckFailWithExtraMessage() {
31   TF_RET_CHECK(2 > 3) << "extra message";
32   return Status::OK();
33 }
34 
RetCheckSuccess()35 Status RetCheckSuccess() {
36   TF_RET_CHECK(3 > 2);
37   return Status::OK();
38 }
39 
TEST(StatusMacros,RetCheckFailing)40 TEST(StatusMacros, RetCheckFailing) {
41   Status status = RetCheckFail();
42   EXPECT_EQ(status.code(), tensorflow::error::INTERNAL);
43   EXPECT_THAT(status.error_message(),
44               ::testing::ContainsRegex("RET_CHECK failure.*2 > 3"));
45 }
46 
TEST(StatusMacros,RetCheckFailingWithExtraMessage)47 TEST(StatusMacros, RetCheckFailingWithExtraMessage) {
48   Status status = RetCheckFailWithExtraMessage();
49   EXPECT_EQ(status.code(), tensorflow::error::INTERNAL);
50   EXPECT_THAT(status.error_message(),
51               ::testing::ContainsRegex("RET_CHECK.*2 > 3 extra message"));
52 }
53 
TEST(StatusMacros,RetCheckSucceeding)54 TEST(StatusMacros, RetCheckSucceeding) {
55   Status status = RetCheckSuccess();
56   EXPECT_IS_OK(status);
57 }
58 
CreateIntSuccessfully()59 StatusOr<int> CreateIntSuccessfully() { return 42; }
60 
CreateIntUnsuccessfully()61 StatusOr<int> CreateIntUnsuccessfully() {
62   return tensorflow::errors::Internal("foobar");
63 }
64 
TEST(StatusMacros,AssignOrAssertOnOK)65 TEST(StatusMacros, AssignOrAssertOnOK) {
66   TF_ASSERT_OK_AND_ASSIGN(int result, CreateIntSuccessfully());
67   EXPECT_EQ(42, result);
68 }
69 
ReturnStatusOK()70 Status ReturnStatusOK() { return Status::OK(); }
71 
ReturnStatusError()72 Status ReturnStatusError() { return (tensorflow::errors::Internal("foobar")); }
73 
74 using StatusReturningFunction = std::function<Status()>;
75 
CallStatusReturningFunction(const StatusReturningFunction & func)76 StatusOr<int> CallStatusReturningFunction(const StatusReturningFunction& func) {
77   TF_RETURN_IF_ERROR(func());
78   return 42;
79 }
80 
TEST(StatusMacros,ReturnIfErrorOnOK)81 TEST(StatusMacros, ReturnIfErrorOnOK) {
82   StatusOr<int> rc = CallStatusReturningFunction(ReturnStatusOK);
83   EXPECT_IS_OK(rc);
84   EXPECT_EQ(42, rc.ConsumeValueOrDie());
85 }
86 
TEST(StatusMacros,ReturnIfErrorOnError)87 TEST(StatusMacros, ReturnIfErrorOnError) {
88   StatusOr<int> rc = CallStatusReturningFunction(ReturnStatusError);
89   EXPECT_FALSE(rc.ok());
90   EXPECT_EQ(rc.status().code(), tensorflow::error::INTERNAL);
91 }
92 
TEST(StatusMacros,AssignOrReturnSuccessufully)93 TEST(StatusMacros, AssignOrReturnSuccessufully) {
94   Status status = []() {
95     TF_ASSIGN_OR_RETURN(int value, CreateIntSuccessfully());
96     EXPECT_EQ(value, 42);
97     return Status::OK();
98   }();
99   EXPECT_IS_OK(status);
100 }
101 
TEST(StatusMacros,AssignOrReturnUnsuccessfully)102 TEST(StatusMacros, AssignOrReturnUnsuccessfully) {
103   Status status = []() {
104     TF_ASSIGN_OR_RETURN(int value, CreateIntUnsuccessfully());
105     (void)value;
106     return Status::OK();
107   }();
108   EXPECT_FALSE(status.ok());
109   EXPECT_EQ(status.code(), tensorflow::error::INTERNAL);
110 }
111 
112 }  // namespace xla
113