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-rw-r--r--tests/validation/NEON/SoftmaxLayer.cpp19
1 files changed, 9 insertions, 10 deletions
diff --git a/tests/validation/NEON/SoftmaxLayer.cpp b/tests/validation/NEON/SoftmaxLayer.cpp
index 020efc0419..92ca673f17 100644
--- a/tests/validation/NEON/SoftmaxLayer.cpp
+++ b/tests/validation/NEON/SoftmaxLayer.cpp
@@ -23,7 +23,7 @@
*/
#include "AssetsLibrary.h"
#include "Globals.h"
-#include "NEON/NEAccessor.h"
+#include "NEON/Accessor.h"
#include "PaddingCalculator.h"
#include "TypePrinter.h"
#include "Utils.h"
@@ -44,7 +44,6 @@
using namespace arm_compute;
using namespace arm_compute::test;
-using namespace arm_compute::test::neon;
using namespace arm_compute::test::validation;
namespace
@@ -83,13 +82,13 @@ Tensor compute_softmax_layer(const TensorShape &shape, DataType dt, int fixed_po
if(arm_compute::is_data_type_float(dt))
{
std::uniform_real_distribution<> distribution(-1000.f, 1000.f);
- library->fill(NEAccessor(src), distribution, 0);
+ library->fill(Accessor(src), distribution, 0);
}
else
{
int one_fixed = 1 << fixed_point_position;
std::uniform_int_distribution<> distribution(-one_fixed, one_fixed);
- library->fill(NEAccessor(src), distribution, 0);
+ library->fill(Accessor(src), distribution, 0);
}
// Compute function
@@ -143,7 +142,7 @@ BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes(), shape, dt)
RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, dt);
// Validate output
- validate(NEAccessor(dst), ref_dst, tolerance);
+ validate(Accessor(dst), ref_dst, tolerance);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
@@ -156,7 +155,7 @@ BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * CNNFloatDataTypes(), shape, dt)
RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, dt);
// Validate output
- validate(NEAccessor(dst), ref_dst, tolerance);
+ validate(Accessor(dst), ref_dst, tolerance);
}
BOOST_AUTO_TEST_SUITE_END()
@@ -174,7 +173,7 @@ BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::xrange(1,
RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS8, fixed_point_position);
// Validate output
- validate(NEAccessor(dst), ref_dst, tolerance_fixed_point);
+ validate(Accessor(dst), ref_dst, tolerance_fixed_point);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
@@ -188,7 +187,7 @@ BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::xrange(1,
RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS8, fixed_point_position);
// Validate output
- validate(NEAccessor(dst), ref_dst, tolerance_fixed_point);
+ validate(Accessor(dst), ref_dst, tolerance_fixed_point);
}
BOOST_AUTO_TEST_SUITE_END()
@@ -205,7 +204,7 @@ BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::xrange(1,
RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS16, fixed_point_position);
// Validate output
- validate(NEAccessor(dst), ref_dst, tolerance_fixed_point);
+ validate(Accessor(dst), ref_dst, tolerance_fixed_point);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
@@ -219,7 +218,7 @@ BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::xrange(1,
RawTensor ref_dst = Reference::compute_reference_softmax_layer(shape, DataType::QS16, fixed_point_position);
// Validate output
- validate(NEAccessor(dst), ref_dst, tolerance_fixed_point);
+ validate(Accessor(dst), ref_dst, tolerance_fixed_point);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()