1/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7    http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16#import <XCTest/XCTest.h>
17
18#include "tensorflow/lite/delegates/gpu/common/status.h"
19#include "tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization_test_util.h"
20#include "tensorflow/lite/delegates/gpu/metal/kernels/test_util.h"
21
22@interface MeanStddevNormalizationTest : XCTestCase
23@end
24
25@implementation MeanStddevNormalizationTest {
26  tflite::gpu::metal::MetalExecutionEnvironment exec_env_;
27}
28
29// note: 100.01 is not representable in FP16 (is in FP32), so use 101.0 instead.
30- (void)testMeanStddevNormSeparateBatches {
31  // zero mean, zero variance
32  auto status = MeanStddevNormSeparateBatchesTest(0.0f, 0.0f, 0.0f, &exec_env_);
33  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
34
35  // zero mean, small variance
36  status = MeanStddevNormSeparateBatchesTest(0.0f, 0.01f, 2.63e-4f, &exec_env_);
37  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
38
39  // zero mean, large variance
40  status = MeanStddevNormSeparateBatchesTest(0.0f, 100.0f, 2.63e-4f, &exec_env_);
41  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
42
43  // small mean, zero variance
44  status = MeanStddevNormSeparateBatchesTest(0.01f, 0.0f, 0.0f, &exec_env_);
45  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
46
47  // small mean, small variance
48  status = MeanStddevNormSeparateBatchesTest(0.01f, 0.01f, 3.57e-4f, &exec_env_);
49  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
50
51  // small mean, large variance
52  status = MeanStddevNormSeparateBatchesTest(1.0f, 100.0f, 2.63e-4f, &exec_env_);
53  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
54
55  // large mean, zero variance
56  status = MeanStddevNormSeparateBatchesTest(100.0f, 0.0f, 0.0f, &exec_env_);
57  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
58
59  // large mean, small variance
60  status = MeanStddevNormSeparateBatchesTest(100.0f, 1.0f, 2.63e-4f, &exec_env_);
61  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
62
63  // large mean, large variance
64  status = MeanStddevNormSeparateBatchesTest(100.0f, 100.0f, 2.63e-4f, &exec_env_);
65  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
66}
67
68- (void)testMeanStddevNormalizationAllBatches {
69  auto status = MeanStddevNormalizationAllBatchesTest(&exec_env_);
70  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
71}
72
73- (void)testMeanStddevNormalizationLargeVector {
74  auto status = MeanStddevNormalizationLargeVectorTest(&exec_env_);
75  XCTAssertTrue(status.ok(), @"%s", std::string(status.message()).c_str());
76}
77
78@end
79