diff options
Diffstat (limited to 'tests/validation/CL/BatchNormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/CL/BatchNormalizationLayer.cpp | 40 |
1 files changed, 23 insertions, 17 deletions
diff --git a/tests/validation/CL/BatchNormalizationLayer.cpp b/tests/validation/CL/BatchNormalizationLayer.cpp index 6884131582..4976c1c1a6 100644 --- a/tests/validation/CL/BatchNormalizationLayer.cpp +++ b/tests/validation/CL/BatchNormalizationLayer.cpp @@ -81,35 +81,41 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Ran // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid mean/var/beta/gamma shape - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point position - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid mean/var/beta/gamma shape + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point position + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), }), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), + TensorInfo(), })), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), + TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(5U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), + TensorInfo(TensorShape(2U), 1, DataType::QS8, 2), })), - framework::dataset::make("Expected", { false, true, true, true, true, false})), + framework::dataset::make("Expected", { false, true, true, true, true, true, false, false})), input_info, output_info, mvbg_info, expected) { - auto mean_info = mvbg_info; - auto var_info = mvbg_info; - auto beta_info = mvbg_info; - auto gamma_info = mvbg_info; - bool has_error = bool(CLBatchNormalizationLayer::validate(&input_info, &output_info, &mean_info, &var_info, &beta_info, &gamma_info, 1.f)); + const auto &mean_info = mvbg_info; + const auto &var_info = mvbg_info; + const auto &beta_info = mvbg_info; + const auto &gamma_info = mvbg_info; + bool has_error = bool(CLBatchNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &var_info.clone()->set_is_resizable(false), &beta_info.clone()->set_is_resizable(false), &gamma_info.clone()->set_is_resizable(false), 1.f)); ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS); } // clang-format on |