COMPMID-556: Rename Error to Status and inverse logic

Change-Id: Ib57d4f7177cc6179302bda7ad870acb8bd3825f5
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112115
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

9 files changed, 11 insertions, 11 deletions

diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp
index 6ebbb57f87..d3f55d9959 100644
--- a/tests/validation/CL/ActivationLayer.cpp
+++ b/tests/validation/CL/ActivationLayer.cpp
@@ -189,7 +189,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                                                             ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
                                                             ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
                                                           })),
-               framework::dataset::make("Expected", { true, true, false, false, true, true, true, false, false })),
+               framework::dataset::make("Expected", { false, false, true, true, false, false, false, true, true })),
                input_info, output_info, act_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLActivationLayer::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), act_info)) == expected, framework::LogLevel::ERRORS);
diff --git a/tests/validation/CL/ArithmeticAddition.cpp b/tests/validation/CL/ArithmeticAddition.cpp
index 61b3b06d74..787b1b986f 100644
--- a/tests/validation/CL/ArithmeticAddition.cpp
+++ b/tests/validation/CL/ArithmeticAddition.cpp
@@ -88,7 +88,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("Expected", { false, false, true, true, true, true, false })),
+               framework::dataset::make("Expected", { true, true, false, false, false, false, true })),
                input1_info, input2_info, output_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLArithmeticAddition::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
diff --git a/tests/validation/CL/ArithmeticSubtraction.cpp b/tests/validation/CL/ArithmeticSubtraction.cpp
index 9a290cfe30..34fdb0b934 100644
--- a/tests/validation/CL/ArithmeticSubtraction.cpp
+++ b/tests/validation/CL/ArithmeticSubtraction.cpp
@@ -95,7 +95,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("Expected", { false, false, true, true, true, true, false })),
+               framework::dataset::make("Expected", { true, true, false, false, false, false, true })),
                input1_info, input2_info, output_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLArithmeticSubtraction::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
diff --git a/tests/validation/CL/BatchNormalizationLayer.cpp b/tests/validation/CL/BatchNormalizationLayer.cpp
index 4976c1c1a6..30dd70a66a 100644
--- a/tests/validation/CL/BatchNormalizationLayer.cpp
+++ b/tests/validation/CL/BatchNormalizationLayer.cpp
@@ -108,7 +108,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                                                      TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),
                                                      TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),
                                                    })),
-               framework::dataset::make("Expected", { false, true, true, true, true, true, false, false})),
+               framework::dataset::make("Expected", { true, false, false, false, false, false, true, true})),
                input_info, output_info, mvbg_info, expected)
 {
     const auto &mean_info = mvbg_info;
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp
index e2e1b6abef..91b3c958d4 100644
--- a/tests/validation/CL/DirectConvolutionLayer.cpp
+++ b/tests/validation/CL/DirectConvolutionLayer.cpp
@@ -143,11 +143,11 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                       })),
-               framework::dataset::make("Expected", { true, true, true, true, true, true, true, true, true, true, false })),
+               framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })),
                input_info, weights_info, biases_info, output_info, conv_info, expected)
 {
-    bool is_error = bool(CLDirectConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info));
-    ARM_COMPUTE_EXPECT(is_error == expected, framework::LogLevel::ERRORS);
+    bool is_valid = bool(CLDirectConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info));
+    ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
 }
 // clang-format on
 // *INDENT-ON*
diff --git a/tests/validation/CL/NormalizationLayer.cpp b/tests/validation/CL/NormalizationLayer.cpp
index 0ed52840ae..74433c1884 100644
--- a/tests/validation/CL/NormalizationLayer.cpp
+++ b/tests/validation/CL/NormalizationLayer.cpp
@@ -99,7 +99,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                                                        NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
                                                        NormalizationLayerInfo(NormType::CROSS_MAP, 5),
                                                       })),
-               framework::dataset::make("Expected", { true, true, true, true, true, true, false })),
+               framework::dataset::make("Expected", { false, false, false, false, false, false, true })),
                input_info, output_info, norm_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), norm_info)) == expected, framework::LogLevel::ERRORS);
diff --git a/tests/validation/CL/PixelWiseMultiplication.cpp b/tests/validation/CL/PixelWiseMultiplication.cpp
index 7431a0983f..031f10f1cf 100644
--- a/tests/validation/CL/PixelWiseMultiplication.cpp
+++ b/tests/validation/CL/PixelWiseMultiplication.cpp
@@ -124,7 +124,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
                framework::dataset::make("Scale",{  2.f, 2.f, 2.f, -1.f, 1.f, 1.f, 1.f, 1.f, 3.f})),
-               framework::dataset::make("Expected", { false, false, true, true, true, true, true, true, true })),
+               framework::dataset::make("Expected", { true, true, false, false, false, false, false, false, false })),
                input1_info, input2_info, output_info, scale, expected)
 {
     bool has_error = bool(CLPixelWiseMultiplication::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), scale, ConvertPolicy::WRAP, RoundingPolicy::TO_ZERO));
diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp
index de647a1b1e..ee639376c5 100644
--- a/tests/validation/CL/PoolingLayer.cpp
+++ b/tests/validation/CL/PoolingLayer.cpp
@@ -104,7 +104,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                                                        PoolingLayerInfo(PoolingType::MAX),
                                                        PoolingLayerInfo(PoolingType::AVG),
                                                       })),
-               framework::dataset::make("Expected", { true, true, true, true, true, true, true, true, true, false })),
+               framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, true })),
                input_info, output_info, pool_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLPoolingLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info)) == expected, framework::LogLevel::ERRORS);
diff --git a/tests/validation/CL/SoftmaxLayer.cpp b/tests/validation/CL/SoftmaxLayer.cpp
index bd7072377a..46ce63ed75 100644
--- a/tests/validation/CL/SoftmaxLayer.cpp
+++ b/tests/validation/CL/SoftmaxLayer.cpp
@@ -135,7 +135,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8,
                                                                   QuantizationInfo(1.f/256, 0)),
                                                      })),
-               framework::dataset::make("Expected", { true, true, true, true, true, false, false, false })),
+               framework::dataset::make("Expected", { false, false, false, false, false, true, true, true })),
                input_info, output_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLSoftmaxLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);