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-rw-r--r--tests/validation/NEON/Im2Col.cpp49
1 files changed, 27 insertions, 22 deletions
diff --git a/tests/validation/NEON/Im2Col.cpp b/tests/validation/NEON/Im2Col.cpp
index 156957a601..ef5e75c5db 100644
--- a/tests/validation/NEON/Im2Col.cpp
+++ b/tests/validation/NEON/Im2Col.cpp
@@ -22,7 +22,7 @@
* SOFTWARE.
*/
#include "arm_compute/core/Types.h"
-#include "src/core/NEON/kernels/NEIm2ColKernel.h"
+#include "src/cpu/kernels/CpuIm2ColKernel.h"
#include "tests/NEON/Accessor.h"
#include "tests/NEON/Helper.h"
#include "tests/datasets/ShapeDatasets.h"
@@ -57,7 +57,7 @@ const auto conv_args_small = combine(combine(combine(combine(conv_filter
TEST_SUITE(NEON)
TEST_SUITE(Im2Col)
-using NEIm2Col = NESynthetizeFunction<NEIm2ColKernel>;
+using CpuIm2Col = NESynthetizeFunctionWithZeroConstantKernelBorder<cpu::kernels::CpuIm2ColKernel>;
// *INDENT-OFF*
// clang-format off
@@ -78,26 +78,26 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("Expected", { false, false, false, false, true })),
input_info, output_info, has_bias, expected)
{
- bool status = bool(NEIm2Col::validate(&input_info, &output_info, Size2D(3U, 3U), PadStrideInfo(), has_bias));
+ bool status = bool(cpu::kernels::CpuIm2ColKernel::validate(&input_info, &output_info, Size2D(3U, 3U), PadStrideInfo(), has_bias));
ARM_COMPUTE_EXPECT(status == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
-using NEIm2ColFixture = Im2ColValidationFixture<Tensor, Accessor, NEIm2Col, T, false>;
+using CpuIm2ColFixture = Im2ColOpValidationFixture<Tensor, Accessor, CpuIm2Col, T, false>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::F32)),
- conv_args_small))
+FIXTURE_DATA_TEST_CASE(RunSmall, CpuIm2ColFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::F32)),
+ conv_args_small))
{
// Validate output
validate(Accessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(concat(im2col_shapes, datasets::LargeShapes()), framework::dataset::make("DataType",
- DataType::F32)),
- conv_args))
+FIXTURE_DATA_TEST_CASE(RunLarge, CpuIm2ColFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(concat(im2col_shapes, datasets::LargeShapes()), framework::dataset::make("DataType",
+ DataType::F32)),
+ conv_args))
{
// Validate output
validate(Accessor(_target), _reference);
@@ -107,15 +107,15 @@ TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::F16)),
- conv_args_small))
+FIXTURE_DATA_TEST_CASE(RunSmall, CpuIm2ColFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::F16)),
+ conv_args_small))
{
// Validate output
validate(Accessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(concat(im2col_shapes, datasets::LargeShapes()), framework::dataset::make("DataType",
- DataType::F16)),
- conv_args))
+FIXTURE_DATA_TEST_CASE(RunLarge, CpuIm2ColFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(concat(im2col_shapes, datasets::LargeShapes()), framework::dataset::make("DataType",
+ DataType::F16)),
+ conv_args))
{
// Validate output
validate(Accessor(_target), _reference);
@@ -127,15 +127,15 @@ TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE(QASYMM8)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEIm2ColFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::QASYMM8)),
- conv_args_small))
+FIXTURE_DATA_TEST_CASE(RunSmall, CpuIm2ColFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(im2col_shapes, framework::dataset::make("DataType", DataType::QASYMM8)),
+ conv_args_small))
{
// Validate output
validate(Accessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEIm2ColFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(concat(im2col_shapes, datasets::LargeShapes()),
- framework::dataset::make("DataType", DataType::QASYMM8)),
- conv_args))
+FIXTURE_DATA_TEST_CASE(RunLarge, CpuIm2ColFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(concat(im2col_shapes, datasets::LargeShapes()),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ conv_args))
{
// Validate output
validate(Accessor(_target), _reference);
@@ -165,8 +165,8 @@ TEST_CASE(PaddedChannelNHWC, framework::DatasetMode::PRECOMMIT)
Tensor dst_target = create_tensor<Tensor>(dst_shape, data_type, 1, qinfo);
// Configure target function
- NEIm2Col im2col_func;
- im2col_func.configure(&src_target, &dst_target, spatial_kernel, conv_info, has_bias);
+ CpuIm2Col im2col_func;
+ im2col_func.configure(src_target.info(), dst_target.info(), spatial_kernel, conv_info, has_bias);
// Extend padding
src_target.info()->extend_padding(PaddingSize(3, 5, 9, 1));
@@ -185,8 +185,13 @@ TEST_CASE(PaddedChannelNHWC, framework::DatasetMode::PRECOMMIT)
// Fill target source
library->fill_tensor_uniform(Accessor(src_target), 0);
+ ITensorPack pack =
+ {
+ { TensorType::ACL_SRC, &src_target },
+ { TensorType::ACL_DST, &dst_target }
+ };
// Run target function
- im2col_func.run();
+ im2col_func.run(pack);
// Calculate Reference
SimpleTensor<float> src_ref{ src_shape, data_type, 1, qinfo, data_layout };