diff options
Diffstat (limited to 'tests/validation/NEON/BatchNormalizationLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/BatchNormalizationLayer.cpp | 29 |
1 files changed, 14 insertions, 15 deletions
diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp index 9d72996940..279257d071 100644 --- a/tests/validation/NEON/BatchNormalizationLayer.cpp +++ b/tests/validation/NEON/BatchNormalizationLayer.cpp @@ -21,7 +21,7 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#include "NEON/NEAccessor.h" +#include "NEON/Accessor.h" #include "TypePrinter.h" #include "dataset/BatchNormalizationLayerDataset.h" #include "tests/Globals.h" @@ -37,7 +37,6 @@ using namespace arm_compute; using namespace arm_compute::test; -using namespace arm_compute::test::neon; using namespace arm_compute::test::validation; namespace @@ -91,11 +90,11 @@ Tensor compute_reference_batch_normalization_layer(const TensorShape &shape0, co std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<float>(); std::uniform_real_distribution<> distribution(min_bound, max_bound); std::uniform_real_distribution<> distribution_var(0, max_bound); - library->fill(NEAccessor(src), distribution, 0); - library->fill(NEAccessor(mean), distribution, 1); - library->fill(NEAccessor(var), distribution_var, 0); - library->fill(NEAccessor(beta), distribution, 3); - library->fill(NEAccessor(gamma), distribution, 4); + library->fill(Accessor(src), distribution, 0); + library->fill(Accessor(mean), distribution, 1); + library->fill(Accessor(var), distribution_var, 0); + library->fill(Accessor(beta), distribution, 3); + library->fill(Accessor(gamma), distribution, 4); } else { @@ -111,11 +110,11 @@ Tensor compute_reference_batch_normalization_layer(const TensorShape &shape0, co } std::uniform_int_distribution<> distribution(min_bound, max_bound); std::uniform_int_distribution<> distribution_var(0, max_bound); - library->fill(NEAccessor(src), distribution, 0); - library->fill(NEAccessor(mean), distribution, 1); - library->fill(NEAccessor(var), distribution_var, 0); - library->fill(NEAccessor(beta), distribution, 3); - library->fill(NEAccessor(gamma), distribution, 4); + library->fill(Accessor(src), distribution, 0); + library->fill(Accessor(mean), distribution, 1); + library->fill(Accessor(var), distribution_var, 0); + library->fill(Accessor(beta), distribution, 3); + library->fill(Accessor(gamma), distribution, 4); } // Compute function @@ -178,7 +177,7 @@ BOOST_DATA_TEST_CASE(Random, RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon); // Validate output - validate(NEAccessor(dst), ref_dst, tolerance_f, 0); + validate(Accessor(dst), ref_dst, tolerance_f, 0); } BOOST_AUTO_TEST_SUITE_END() @@ -196,7 +195,7 @@ BOOST_DATA_TEST_CASE(Random, RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon, fixed_point_position); // Validate output - validate(NEAccessor(dst), ref_dst, tolerance_qs8); + validate(Accessor(dst), ref_dst, tolerance_qs8); } BOOST_AUTO_TEST_SUITE_END() @@ -213,7 +212,7 @@ BOOST_DATA_TEST_CASE(Random, RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon, fixed_point_position); // Validate output - validate(NEAccessor(dst), ref_dst, tolerance_qs16); + validate(Accessor(dst), ref_dst, tolerance_qs16); } BOOST_AUTO_TEST_SUITE_END() BOOST_AUTO_TEST_SUITE_END() |