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-rw-r--r--tests/validation/CL/ConvolutionLayer.cpp12
-rw-r--r--tests/validation/CL/FullyConnectedLayer.cpp12
2 files changed, 12 insertions, 12 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp
index f613f77e5e..7c5a1eb254 100644
--- a/tests/validation/CL/ConvolutionLayer.cpp
+++ b/tests/validation/CL/ConvolutionLayer.cpp
@@ -47,7 +47,7 @@ using namespace arm_compute::test::validation;
namespace
{
const float tolerance_f32 = 1e-03f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-const float tolerance_qs8 = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::QS8 */
+const float tolerance_q = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
CLTensor compute_convolution_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt,
const PadStrideInfo &conv_info, int fixed_point_position)
@@ -102,7 +102,7 @@ BOOST_AUTO_TEST_SUITE(GEMM)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration,
- AlexNetConvolutionLayerDataset() * boost::unit_test::data::make({ DataType::F32, DataType::QS8 }),
+ AlexNetConvolutionLayerDataset() * boost::unit_test::data::make({ DataType::F32, DataType::QS8, DataType::QS16 }),
conv_set, dt)
{
// Set fixed point position data type allowed
@@ -189,7 +189,7 @@ BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE(Quantized)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(SmallConvolutionLayer,
- SmallConvolutionLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(4, 7),
+ SmallConvolutionLayerDataset() * boost::unit_test::data::make({ DataType::QS8, DataType::QS16 }) * boost::unit_test::data::xrange(4, 7),
conv_set, dt, fixed_point_position)
{
// Compute function
@@ -199,12 +199,12 @@ BOOST_DATA_TEST_CASE(SmallConvolutionLayer,
RawTensor ref_dst = Reference::compute_reference_convolution_layer(conv_set.src_shape, conv_set.weights_shape, conv_set.bias_shape, conv_set.dst_shape, dt, conv_set.info, fixed_point_position);
// Validate output
- validate(CLAccessor(dst), ref_dst, tolerance_qs8);
+ validate(CLAccessor(dst), ref_dst, tolerance_q);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(LargeConvolutionLayer,
- AlexNetConvolutionLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(4, 7),
+ AlexNetConvolutionLayerDataset() * boost::unit_test::data::make({ DataType::QS8, DataType::QS16 }) * boost::unit_test::data::xrange(4, 7),
conv_set, dt, fixed_point_position)
{
// Compute function
@@ -214,7 +214,7 @@ BOOST_DATA_TEST_CASE(LargeConvolutionLayer,
RawTensor ref_dst = Reference::compute_reference_convolution_layer(conv_set.src_shape, conv_set.weights_shape, conv_set.bias_shape, conv_set.dst_shape, dt, conv_set.info, fixed_point_position);
// Validate output
- validate(CLAccessor(dst), ref_dst, tolerance_qs8);
+ validate(CLAccessor(dst), ref_dst, tolerance_q);
}
BOOST_AUTO_TEST_SUITE_END()
diff --git a/tests/validation/CL/FullyConnectedLayer.cpp b/tests/validation/CL/FullyConnectedLayer.cpp
index 4d00c30d16..974a0bd1d5 100644
--- a/tests/validation/CL/FullyConnectedLayer.cpp
+++ b/tests/validation/CL/FullyConnectedLayer.cpp
@@ -44,7 +44,7 @@ using namespace arm_compute::test::validation;
namespace
{
const float tolerance_f32 = 1e-03f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-const float tolerance_qs8 = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::QS8 */
+const float tolerance_q = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
CLTensor compute_fully_connected_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt,
bool transpose_weights, int fixed_point_position)
@@ -109,7 +109,7 @@ BOOST_AUTO_TEST_SUITE(FullyConnectedLayer)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration,
- SmallFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::F32, DataType::QS8 }),
+ SmallFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::F32, DataType::QS8, DataType::QS16 }),
fc_set, dt)
{
// Set fixed point position data type allowed
@@ -188,7 +188,7 @@ BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE(Quantized)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall,
- SmallFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::QS8 }) * boost::unit_test::data::xrange(4, 7),
+ SmallFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::QS8, DataType::QS16 }) * boost::unit_test::data::xrange(4, 7),
fc_set, dt, fixed_point_position)
{
// Compute function
@@ -198,12 +198,12 @@ BOOST_DATA_TEST_CASE(RunSmall,
RawTensor ref_dst = Reference::compute_reference_fully_connected_layer(fc_set.src_shape, fc_set.weights_shape, fc_set.bias_shape, fc_set.dst_shape, dt, fc_set.transpose_weights, fixed_point_position);
// Validate output
- validate(CLAccessor(dst), ref_dst, tolerance_qs8);
+ validate(CLAccessor(dst), ref_dst, tolerance_q);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge,
- LargeFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::QS8 }) * boost::unit_test::data::xrange(4, 7),
+ LargeFullyConnectedLayerDataset() * boost::unit_test::data::make({ DataType::QS8, DataType::QS16 }) * boost::unit_test::data::xrange(4, 7),
fc_set, dt, fixed_point_position)
{
// Compute function
@@ -213,7 +213,7 @@ BOOST_DATA_TEST_CASE(RunLarge,
RawTensor ref_dst = Reference::compute_reference_fully_connected_layer(fc_set.src_shape, fc_set.weights_shape, fc_set.bias_shape, fc_set.dst_shape, dt, fc_set.transpose_weights, fixed_point_position);
// Validate output
- validate(CLAccessor(dst), ref_dst, tolerance_qs8);
+ validate(CLAccessor(dst), ref_dst, tolerance_q);
}
BOOST_AUTO_TEST_SUITE_END()
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-25 05:30:50 +0000