xref: /aosp_15_r20/external/tensorflow/tensorflow/compiler/xla/tests/exhaustive_unary_test_f64.cc (revision b6fb3261f9314811a0f4371741dbb8839866f948)
1 /* Copyright 2020 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/tests/client_library_test_base.h"
17 #include "tensorflow/compiler/xla/tests/exhaustive_op_test_utils.h"
18 #include "tensorflow/compiler/xla/util.h"
19 
20 #ifdef __FAST_MATH__
21 #error "Can't be compiled with fast math on"
22 #endif
23 
24 namespace xla {
25 namespace exhaustive_op_test {
26 
27 // Exhaustive test for unary operations for double.
28 //
29 // Test parameter is a tuple containing
30 //   - primitive type under test,
31 //   - FpValues representing a set of double values.
32 
33 class ExhaustiveF64UnaryTest : public ExhaustiveUnaryTest<F64>,
34                                public ::testing::WithParamInterface<FpValues> {
35  private:
GetInputSize()36   int64_t GetInputSize() override {
37     FpValues values = GetParam();
38     return values.GetTotalNumValues();
39   }
40 
FillInput(std::array<Literal,1> * input_literal)41   void FillInput(std::array<Literal, 1>* input_literal) override {
42     FpValues fp_values = GetParam();
43     int64_t input_size = (*input_literal)[0].element_count();
44     LOG(INFO) << "Checking fp values " << fp_values.ToString() << ", "
45               << input_size;
46     absl::Span<double> input_arr = (*input_literal)[0].data<double>();
47 
48     uint64_t i = 0;
49     for (auto bits : fp_values) {
50       input_arr[i] = this->ConvertAndReplaceKnownIncorrectValueWith(bits, 1);
51       ++i;
52     }
53     CHECK_EQ(i, input_size);
54   }
55 };
56 
57 #define UNARY_TEST_FLOAT_64(test_name, ...)     \
58   XLA_TEST_P(ExhaustiveF64UnaryTest, test_name) \
59   __VA_ARGS__
60 
61 UNARY_TEST_FLOAT_64(Log, { Run(Log, std::log); })
62 
63 UNARY_TEST_FLOAT_64(Log1p, { Run(Log1p, std::log1p); })
64 
65 UNARY_TEST_FLOAT_64(Exp, { Run(Exp, std::exp); })
66 
67 UNARY_TEST_FLOAT_64(Expm1, { Run(Expm1, std::expm1); })
68 
69 // TODO(b/138385863): Turn on the test for GPU after fixing the bug.
70 UNARY_TEST_FLOAT_64(DISABLED_ON_GPU(PowOneHalf), {
__anon8879ffe10102(XlaOp x) 71   Run([](XlaOp x) { return Pow(x, ScalarLike(x, 0.5)); },
__anon8879ffe10202(double x) 72       +[](double x) { return std::pow(x, 0.5); });
73 })
74 
75 UNARY_TEST_FLOAT_64(Rsqrt, {
76   Run(
__anon8879ffe10302(double x) 77       Rsqrt, +[](double x) { return 1 / std::sqrt(x); });
78 })
79 
80 UNARY_TEST_FLOAT_64(Sqrt, { Run(Sqrt, std::sqrt); })
81 
82 UNARY_TEST_FLOAT_64(Acosh, { Run(Acosh, std::acosh); })
83 
84 UNARY_TEST_FLOAT_64(Asinh, { Run(Asinh, std::asinh); })
85 
86 UNARY_TEST_FLOAT_64(Atanh, { Run(Atanh, std::atanh); })
87 
88 UNARY_TEST_FLOAT_64(Acos, { Run(Acos, std::acos); })
89 
90 UNARY_TEST_FLOAT_64(Asin, { Run(Asin, std::asin); })
91 
92 UNARY_TEST_FLOAT_64(Cosh, { Run(Cosh, std::cosh); })
93 
94 UNARY_TEST_FLOAT_64(Sinh, { Run(Sinh, std::sinh); })
95 
96 UNARY_TEST_FLOAT_64(Tanh, {
97   ErrorSpecGen error_spec_gen = GetDefaultSpecGenerator();
98   if (platform_ == "CUDA") {
__anon8879ffe10402(NativeT x) 99     error_spec_gen = +[](NativeT x) {
100       return x <= static_cast<NativeT>(-20.0) || x >= static_cast<NativeT>(20.0)
101                  ? ErrorSpec{0, 0}
102                  : GetDefaultSpecGenerator()(x);
103     };
104   }
105   Run(Tanh, std::tanh, error_spec_gen);
106 })
107 
108 UNARY_TEST_FLOAT_64(Cos, { Run(Cos, std::cos); })
109 
110 UNARY_TEST_FLOAT_64(Sin, { Run(Sin, std::sin); })
111 
112 UNARY_TEST_FLOAT_64(Tan, { Run(Tan, std::tan); })
113 
114 UNARY_TEST_FLOAT_64(Round, { Run(Round, std::round); })
115 
116 UNARY_TEST_FLOAT_64(Erf, {
__anon8879ffe10502(NativeT x) 117   Run(Erf, std::erf, [](NativeT x) { return ErrorSpec{1e-20, 1e-20}; });
118 })
119 
120 UNARY_TEST_FLOAT_64(Erfc, {
__anon8879ffe10602(NativeT x) 121   Run(Erfc, std::erfc, [](NativeT x) { return ErrorSpec{1e-20, 1e-20}; });
122 })
123 
124 INSTANTIATE_TEST_SUITE_P(
125     SpecialValues, ExhaustiveF64UnaryTest,
126     ::testing::ValuesIn(CreateFpValuesForBoundaryTest<double>()));
127 
128 INSTANTIATE_TEST_SUITE_P(NormalValues, ExhaustiveF64UnaryTest,
129                          ::testing::Values(GetNormals<double>(1000)));
130 
131 // Tests a total of 4000000000 inputs, with 16000000 inputs in each sub-test, to
132 // keep the peak memory usage low.
133 INSTANTIATE_TEST_SUITE_P(
134     LargeAndSmallMagnitudeNormalValues, ExhaustiveF64UnaryTest,
135     ::testing::ValuesIn(GetFpValuesForMagnitudeExtremeNormals<double>(
136         4000000000ull, 16000000)));
137 
138 }  // namespace exhaustive_op_test
139 }  // namespace xla
140