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-rw-r--r--tests/validation/CL/L2NormalizeLayer.cpp24
1 files changed, 17 insertions, 7 deletions
diff --git a/tests/validation/CL/L2NormalizeLayer.cpp b/tests/validation/CL/L2NormalizeLayer.cpp
index fdbfa3ed4d..beedd81335 100644
--- a/tests/validation/CL/L2NormalizeLayer.cpp
+++ b/tests/validation/CL/L2NormalizeLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -46,8 +46,8 @@ namespace
constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f);
constexpr AbsoluteTolerance<float> tolerance_f16(0.2f);
-auto data = concat(combine(framework::dataset::make("DataLayout", { DataLayout::NCHW }), framework::dataset::make("Axis", { 0, 1, 2 })), combine(framework::dataset::make("DataLayout", { DataLayout::NHWC }),
- framework::dataset::make("Axis", { 1, 2 })));
+auto data = concat(combine(framework::dataset::make("DataLayout", { DataLayout::NCHW }), framework::dataset::make("Axis", { -1, 0, 2 })), combine(framework::dataset::make("DataLayout", { DataLayout::NHWC }),
+ framework::dataset::make("Axis", { -2, 2 })));
} // namespace
@@ -61,8 +61,9 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching shape input/output
TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1
TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F32
- TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions
- TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis > 2
+ TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
+ TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
+ TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
}),
framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16),
@@ -71,10 +72,19 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
TensorInfo(TensorShape(128U, 64U), 1, DataType::S16),
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
+ TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
})),
- framework::dataset::make("Axis", { 0U, 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 3U, 0U })),
- framework::dataset::make("Expected", { false, false, false, false, false, false, true })),
+ framework::dataset::make("Axis", {
+ 0,
+ 0,
+ 0,
+ 0,
+ static_cast<int>(TensorShape::num_max_dimensions),
+ 3,
+ -2,
+ 0 })),
+ framework::dataset::make("Expected", { false, false, false, false, true, true, true, true })),
input_info, output_info, axis, expected)
{
bool is_valid = bool(CLL2NormalizeLayer::validate(&input_info.clone()->set_is_resizable(false),