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authorRamy Elgammal <ramy.elgammal@arm.com>2022-07-20 14:57:37 +0100
committerRamy Elgammal <ramy.elgammal@arm.com>2022-07-26 11:57:27 +0000
commit91780021e25575086c6c31d014d34b6513649a9d (patch)
tree06eeb9c1b6c92e766464fb43dccced2c4f8aa90f /tests/validation/NEON/ConvolutionLayer.cpp
parentbf5274d1cbc2ba592b3990c40065e3c843075252 (diff)
downloadComputeLibrary-91780021e25575086c6c31d014d34b6513649a9d.tar.gz
Fix for inclusion of "arm_gemm" from src into "Types.h" from core
- Added arm_compute::WeightFormat and converted to/from arm_gemm::WeightFormat when needed through two map function. - Moved to_string(WeightFormat) to TypePrinter.h Resolves: COMPMID-5415 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I65f7942100bcd4dbf2c5cf6c07f26c8e1e3bf86e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/438511 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Reviewed-by: Sicong Li <sicong.li@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7985 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/ConvolutionLayer.cpp')
-rw-r--r--tests/validation/NEON/ConvolutionLayer.cpp120
1 files changed, 60 insertions, 60 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 940983f42b..0194220e1a 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -511,13 +511,13 @@ TEST_SUITE(VariableWeightUtils)
FIXTURE_DATA_TEST_CASE(UC2_1_CpuGemmConv2d, HasOptImplFixture<cpu::CpuGemmConv2d>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::F32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::OHWIo2 })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::OHWIo2 })))
{
ARM_COMPUTE_EXPECT(!_kernel_found, framework::LogLevel::ERRORS);
}
FIXTURE_DATA_TEST_CASE(UC2_1_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMConvolutionLayer>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::F32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::OHWIo2 })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::OHWIo2 })))
{
ARM_COMPUTE_EXPECT(!_kernel_found, framework::LogLevel::ERRORS);
}
@@ -527,18 +527,18 @@ FIXTURE_DATA_TEST_CASE(UC2_1_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMCon
FIXTURE_DATA_TEST_CASE(UC2_2_CpuGemmConv2d, HasOptImplFixture<cpu::CpuGemmConv2d>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::F32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::OHWIo4 })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::OHWIo4 })))
{
ARM_COMPUTE_EXPECT(_kernel_found, framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(_computed_weight_format == arm_gemm::WeightFormat::OHWIo4, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(_computed_weight_format == arm_compute::WeightFormat::OHWIo4, framework::LogLevel::ERRORS);
}
FIXTURE_DATA_TEST_CASE(UC2_2_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMConvolutionLayer>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::F32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::OHWIo4 })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::OHWIo4 })))
{
ARM_COMPUTE_EXPECT(_kernel_found, framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(_computed_weight_format == arm_gemm::WeightFormat::OHWIo4, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(_computed_weight_format == arm_compute::WeightFormat::OHWIo4, framework::LogLevel::ERRORS);
}
// UC3_1_* tests: the user queries for ANY fixed format, but there is
@@ -548,14 +548,14 @@ FIXTURE_DATA_TEST_CASE(UC2_2_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMCon
FIXTURE_DATA_TEST_CASE(UC3_1_CpuGemmConv2d, HasOptImplFixture<cpu::CpuGemmConv2d>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::S32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::ANY })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::ANY })))
{
ARM_COMPUTE_EXPECT(!_kernel_found, framework::LogLevel::ERRORS);
}
FIXTURE_DATA_TEST_CASE(UC3_1_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMConvolutionLayer>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::S32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::ANY })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::ANY })))
{
ARM_COMPUTE_EXPECT(!_kernel_found, framework::LogLevel::ERRORS);
}
@@ -572,24 +572,24 @@ FIXTURE_DATA_TEST_CASE(UC3_1_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMCon
FIXTURE_DATA_TEST_CASE(UC3_2_CpuGemmConv2d, HasOptImplFixture<cpu::CpuGemmConv2d>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::F32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::ANY })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::ANY })))
{
ARM_COMPUTE_EXPECT(_kernel_found, framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(_computed_weight_format != arm_gemm::WeightFormat::ANY, framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(_computed_weight_format != arm_gemm::WeightFormat::UNSPECIFIED, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(_computed_weight_format != arm_compute::WeightFormat::ANY, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(_computed_weight_format != arm_compute::WeightFormat::UNSPECIFIED, framework::LogLevel::ERRORS);
}
FIXTURE_DATA_TEST_CASE(UC3_2_NEGEMMConvolutionLayer, HasOptImplFixture<NEGEMMConvolutionLayer>, framework::DatasetMode::ALL,
combine(framework::dataset::make("DataType", { DataType::F32 }),
- framework::dataset::make("QueryWeightFormat", { arm_gemm::WeightFormat::ANY })))
+ framework::dataset::make("QueryWeightFormat", { arm_compute::WeightFormat::ANY })))
{
- ARM_COMPUTE_EXPECT(_computed_weight_format != arm_gemm::WeightFormat::ANY, framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(_computed_weight_format != arm_gemm::WeightFormat::UNSPECIFIED, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(_computed_weight_format != arm_compute::WeightFormat::ANY, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(_computed_weight_format != arm_compute::WeightFormat::UNSPECIFIED, framework::LogLevel::ERRORS);
}
namespace
{
-using TestCaseType = std::tuple<TensorShape, TensorShape, arm_gemm::WeightFormat>;
+using TestCaseType = std::tuple<TensorShape, TensorShape, arm_compute::WeightFormat>;
auto prepare_weights_shapes = framework::dataset::make("TensorShape",
{
// OHWIo<interleave_by>i<block_by>
@@ -601,51 +601,51 @@ auto prepare_weights_shapes = framework::dataset::make("TensorShape",
//
// Change N for OHWIo4
- TestCaseType({ { 1U, 1U, 1U, 1U }, { 1U, 1U, 1U, 4U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 2U }, { 1U, 1U, 1U, 4U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 3U }, { 1U, 1U, 1U, 4U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 4U }, { 1U, 1U, 1U, 4U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 5U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 6U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 7U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 8U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1U, 1U, 1U, 9U }, { 1U, 1U, 1U, 12U }, arm_gemm::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 1U }, { 1U, 1U, 1U, 4U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 2U }, { 1U, 1U, 1U, 4U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 3U }, { 1U, 1U, 1U, 4U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 4U }, { 1U, 1U, 1U, 4U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 5U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 6U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 7U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 8U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1U, 1U, 1U, 9U }, { 1U, 1U, 1U, 12U }, arm_compute::WeightFormat::OHWIo4 }),
// // Change N for OHWIo8
- TestCaseType({ { 1U, 1U, 1U, 1U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 2U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 3U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 4U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 5U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 6U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 7U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 8U }, { 1U, 1U, 1U, 8U }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1U, 1U, 1U, 9U }, { 1U, 1U, 1U, 16U }, arm_gemm::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 1U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 2U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 3U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 4U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 5U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 6U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 7U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 8U }, { 1U, 1U, 1U, 8U }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1U, 1U, 1U, 9U }, { 1U, 1U, 1U, 16U }, arm_compute::WeightFormat::OHWIo8 }),
// // Change N for OHWIo4 when H, W and C are not 1
- TestCaseType({ { 3U, 4U, 2U, 1U }, { 3, 4, 2, 4 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 2U }, { 3, 4, 2, 4 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 3U }, { 3, 4, 2, 4 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 4U }, { 3, 4, 2, 4 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 5U }, { 3, 4, 2, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 6U }, { 3, 4, 2, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 7U }, { 3, 4, 2, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 8U }, { 3, 4, 2, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 9U }, { 3, 4, 2, 12 }, arm_gemm::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 1U }, { 3, 4, 2, 4 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 2U }, { 3, 4, 2, 4 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 3U }, { 3, 4, 2, 4 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 4U }, { 3, 4, 2, 4 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 5U }, { 3, 4, 2, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 6U }, { 3, 4, 2, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 7U }, { 3, 4, 2, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 8U }, { 3, 4, 2, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 9U }, { 3, 4, 2, 12 }, arm_compute::WeightFormat::OHWIo4 }),
// // Fix N and move HWI around, with different data layouts and formats
- TestCaseType({ { 2U, 4U, 3U, 5U }, { 2, 4, 3, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 3U, 4U, 2U, 5U }, { 3, 4, 2, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 2U, 4U, 3U, 9U }, { 2, 4, 3, 16 }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 3U, 4U, 2U, 9U }, { 3, 4, 2, 16 }, arm_gemm::WeightFormat::OHWIo8 }),
- TestCaseType({ { 1024U, 1U, 1U, 1001U }, { 1024, 1, 1, 1008 }, arm_gemm::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 2U, 4U, 3U, 5U }, { 2, 4, 3, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 3U, 4U, 2U, 5U }, { 3, 4, 2, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 2U, 4U, 3U, 9U }, { 2, 4, 3, 16 }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 3U, 4U, 2U, 9U }, { 3, 4, 2, 16 }, arm_compute::WeightFormat::OHWIo8 }),
+ TestCaseType({ { 1024U, 1U, 1U, 1001U }, { 1024, 1, 1, 1008 }, arm_compute::WeightFormat::OHWIo8 }),
// // Adding <block_by> on I (=C)
- TestCaseType({ { 1U, 4U, 3U, 5U }, { 2, 4, 3, 8 }, arm_gemm::WeightFormat::OHWIo4i2 }),
- TestCaseType({ { 2U, 4U, 3U, 5U }, { 2, 4, 3, 8 }, arm_gemm::WeightFormat::OHWIo4i2 }),
- TestCaseType({ { 3U, 4U, 3U, 5U }, { 4, 4, 3, 8 }, arm_gemm::WeightFormat::OHWIo4i2 }),
+ TestCaseType({ { 1U, 4U, 3U, 5U }, { 2, 4, 3, 8 }, arm_compute::WeightFormat::OHWIo4i2 }),
+ TestCaseType({ { 2U, 4U, 3U, 5U }, { 2, 4, 3, 8 }, arm_compute::WeightFormat::OHWIo4i2 }),
+ TestCaseType({ { 3U, 4U, 3U, 5U }, { 4, 4, 3, 8 }, arm_compute::WeightFormat::OHWIo4i2 }),
// ---------
- TestCaseType({ { 2, 2, 1, 5 }, { 2, 2, 1, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
- TestCaseType({ { 1, 2, 2, 5 }, { 1, 2, 2, 8 }, arm_gemm::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 2, 2, 1, 5 }, { 2, 2, 1, 8 }, arm_compute::WeightFormat::OHWIo4 }),
+ TestCaseType({ { 1, 2, 2, 5 }, { 1, 2, 2, 8 }, arm_compute::WeightFormat::OHWIo4 }),
});
} // unnamed namespace
@@ -653,14 +653,14 @@ auto prepare_weights_shapes = framework::dataset::make("TensorShape",
DATA_TEST_CASE(PrepareWeightShape, framework::DatasetMode::ALL,
prepare_weights_shapes, shapes)
{
- const TensorShape input_shape = std::get<0>(shapes);
- const TensorShape expected_shape = std::get<1>(shapes);
- const arm_gemm::WeightFormat wf = std::get<2>(shapes);
- const DataType DT = DataType::F32;
- const DataLayout DL = DataLayout::NHWC;
- const auto TI = TensorInfo(input_shape, 1 /*num_channels, deprecated*/, DT, DL);
- const TensorInfo computed = ::arm_compute::test::validation::prepare_weights(TI, wf);
- const TensorInfo expected = TensorInfo(expected_shape, 1 /*num_channels, deprecated*/, DT, DL);
+ const TensorShape input_shape = std::get<0>(shapes);
+ const TensorShape expected_shape = std::get<1>(shapes);
+ const arm_compute::WeightFormat wf = std::get<2>(shapes);
+ const DataType DT = DataType::F32;
+ const DataLayout DL = DataLayout::NHWC;
+ const auto TI = TensorInfo(input_shape, 1 /*num_channels, deprecated*/, DT, DL);
+ const TensorInfo computed = ::arm_compute::test::validation::prepare_weights(TI, wf);
+ const TensorInfo expected = TensorInfo(expected_shape, 1 /*num_channels, deprecated*/, DT, DL);
ARM_COMPUTE_EXPECT_EQUAL(computed, expected, framework::LogLevel::ERRORS);
}