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[GPU] Compare float value with tolerance in unit test (#12667)

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* compare float value with tolerance
* Support NaN comparison
* use EXPECT_NEAR
* reduce # of testcase
This commit is contained in:
Felix Dohyun Kim
2022-09-16 15:42:08 +09:00
committed by GitHub
parent a850c8baee
commit 8f7c9a05f5
1 changed files with 49 additions and 15 deletions
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64
src/plugins/intel_gpu/tests/test_cases/activation_simple_gpu_test.cpp
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@@ -1584,7 +1584,9 @@ struct activation_random_test : testing::TestWithParam<activation_random_test_pa
for (size_t xi = 0; xi < x; ++xi) {
auto ref_out_val = ref_ptr[ref_out_offset + xi * ref_x_pitch];
auto opt_out_val = opt_ptr[opt_out_offset + xi * opt_x_pitch];
EXPECT_EQ(ref_out_val, opt_out_val);
if (ref_out_val != opt_out_val) {
EXPECT_NEAR(ref_out_val, opt_out_val, 1e-4);
}
}
}
}
@@ -1683,12 +1685,7 @@ const auto reluParams = testing::ValuesIn(std::vector<activation_random_test_par
INSTANTIATE_TEST_SUITE_P(relu_activation_blocked_tests, activation_random_test, reluParams);
const std::vector<data_types> dataTypes = {data_types::f16, data_types::f32};
const std::vector<format::type> types = {format::bfyx,
format::bfzyx,
format::yxfb,
format::byxf,
format::fyxb,
format::b_fs_yx_fsv2,
const std::vector<format::type> types = {format::b_fs_yx_fsv2,
format::b_fs_zyx_fsv2,
format::bs_fs_yx_bsv32_fsv32,
format::bs_fs_yx_bsv32_fsv16};
@@ -1747,11 +1744,48 @@ const std::vector<tensor> inputShapes = {
{16, 16, 5, 5},
};
const auto fpFunctionsParams = ::testing::Combine(::testing::ValuesIn(dataTypes),
::testing::ValuesIn(types),
::testing::ValuesIn(inputShapes),
::testing::ValuesIn(activationFunctions),
::testing::Values(activation_additional_params{}),
::testing::Values(padding{}));
INSTANTIATE_TEST_SUITE_P(fp_activation_blocked_tests, activation_random_test, fpFunctionsParams);
INSTANTIATE_TEST_SUITE_P(
fp_activation_blocked_tests0,
activation_random_test,
::testing::Combine(::testing::Values(dataTypes[0]),
::testing::Values(types[0]),
::testing::Values(inputShapes[0]),
::testing::ValuesIn(activationFunctions),
::testing::Values(activation_additional_params{}),
::testing::Values(padding{})));
INSTANTIATE_TEST_SUITE_P(
fp_activation_blocked_tests1,
activation_random_test,
::testing::Combine(::testing::Values(dataTypes[1]),
::testing::Values(types[3]),
::testing::Values(inputShapes[2]),
::testing::ValuesIn(activationFunctions),
::testing::Values(activation_additional_params{}),
::testing::Values(padding{})));
INSTANTIATE_TEST_SUITE_P(
fp_activation_blocked_tests2,
activation_random_test,
::testing::Combine(::testing::Values(dataTypes[0]),
::testing::Values(types[2]),
::testing::Values(inputShapes[1]),
::testing::ValuesIn(activationFunctions),
::testing::Values(activation_additional_params{}),
::testing::Values(padding{})));
INSTANTIATE_TEST_SUITE_P(
fp_activation_blocked_tests3,
activation_random_test,
::testing::Combine(::testing::ValuesIn(dataTypes),
::testing::ValuesIn(types),
::testing::ValuesIn(inputShapes),
::testing::Values(activationFunctions.front()),
::testing::Values(activation_additional_params{}),
::testing::Values(padding{})));
INSTANTIATE_TEST_SUITE_P(
fp_activation_blocked_tests4,
activation_random_test,
::testing::Combine(::testing::ValuesIn(dataTypes),
::testing::ValuesIn(types),
::testing::ValuesIn(inputShapes),
::testing::Values(activationFunctions.back()),
::testing::Values(activation_additional_params{}),
::testing::Values(padding{})));