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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-01-10 17:19:50 +0000 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-01-17 11:09:55 +0000 |
| commit | 80943253e63779b61412264ff4c58b406cf061ae (patch) | |
| tree | 1d1309d1c2a9ef5a6fceb21237f8117fd250f40a /tests/validation/CL/ChannelShuffle.cpp | |
| parent | 57016a419c89e737216fd12711e6eba7e030061e (diff) | |
| download | ComputeLibrary-80943253e63779b61412264ff4c58b406cf061ae.tar.gz | |
COMPMID-1652 CL Cleanup and add missing tests
Change-Id: I359cc0fd0c3fa42ab10a770e59d58704403889b2
Reviewed-on: https://review.mlplatform.org/498
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Diffstat (limited to 'tests/validation/CL/ChannelShuffle.cpp')
| -rw-r--r-- | tests/validation/CL/ChannelShuffle.cpp | 29 |
1 files changed, 28 insertions, 1 deletions
diff --git a/tests/validation/CL/ChannelShuffle.cpp b/tests/validation/CL/ChannelShuffle.cpp index c2373ff895..8b5a4f5484 100644 --- a/tests/validation/CL/ChannelShuffle.cpp +++ b/tests/validation/CL/ChannelShuffle.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -43,6 +43,33 @@ namespace validation TEST_SUITE(CL) TEST_SUITE(ChannelShuffle) +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Invalid num groups + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), // Mismatching data_type + TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), // Mismatching shapes + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Num groups == channels + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // (channels % num_groups) != 0 + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Valid + }), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), + })), + framework::dataset::make("NumGroups",{ 1, 2, 2, 4, 3, 2, + })), + framework::dataset::make("Expected", { false, false, false, false, false, true})), + input_info, output_info, num_groups, expected) +{ + ARM_COMPUTE_EXPECT(bool(CLChannelShuffleLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), num_groups)) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallRandomChannelShuffleLayerDataset(), framework::dataset::make("DataType", { DataType::S8, DataType::U8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32 })), shape, num_groups, data_type) { |