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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-07-16 14:40:09 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | e29acf14f5c3f2d2c20799a1ea3e4aad50dff834 (patch) | |
| tree | ca7a01ed169605404b2b954fc0d174ee00e121f2 /tests/validation/CL/DepthConcatenateLayer.cpp | |
| parent | 76259ca5a74a60ef2b80f29431ab53bbac9fdb63 (diff) | |
| download | ComputeLibrary-e29acf14f5c3f2d2c20799a1ea3e4aad50dff834.tar.gz | |
COMPMID-1365: Add support for NHWC in CLDepthConcatenateLayer
Change-Id: I3ed55bdb95d888aff0b0b76fb841bf1669659308
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/139963
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/CL/DepthConcatenateLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DepthConcatenateLayer.cpp | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/tests/validation/CL/DepthConcatenateLayer.cpp b/tests/validation/CL/DepthConcatenateLayer.cpp index f5a5c230af..a9346dce7d 100644 --- a/tests/validation/CL/DepthConcatenateLayer.cpp +++ b/tests/validation/CL/DepthConcatenateLayer.cpp @@ -42,6 +42,44 @@ namespace validation TEST_SUITE(CL) TEST_SUITE(DepthConcatenateLayer) +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), // Mismatching x dimension + TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), // Mismatching total depth + TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) + }), + framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), + TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32) + })), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16), + TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32), + TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32), + TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32) + })), + framework::dataset::make("Expected", { false, false, false, true })), + input_info1, input_info2, output_info,expected) +{ + std::vector<TensorInfo> inputs_vector_info; + inputs_vector_info.emplace_back(std::move(input_info1)); + inputs_vector_info.emplace_back(std::move(input_info2)); + + std::vector<ITensorInfo *> inputs_vector_info_raw; + for(auto &input : inputs_vector_info) + { + inputs_vector_info_raw.emplace_back(&input); + } + + bool is_valid = bool(CLDepthConcatenateLayer::validate(inputs_vector_info_raw, + &output_info.clone()->set_is_resizable(false))); + ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + TEST_CASE(Configuration, framework::DatasetMode::ALL) { // Create tensors |