COMPMID-2763 [CL] add support for QASYMM8_SIGNED to SoftmaxLayer

Change-Id: I4556bde3aa51eb874a4e674dbbd575fa4491c088
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2375
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

4 files changed, 10 insertions, 10 deletions

diff --git a/tests/validation/reference/LogSoftmaxLayer.cpp b/tests/validation/reference/LogSoftmaxLayer.cpp
index 3f21d85dd0..e4403956ab 100644
--- a/tests/validation/reference/LogSoftmaxLayer.cpp
+++ b/tests/validation/reference/LogSoftmaxLayer.cpp
@@ -40,21 +40,21 @@ SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t
     return softmax_layer_generic<T>(src, beta, axis, true);
 }
 
-template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value, int>::type>
+template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type>
 SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis)
 {
-    // Note: Output quantization info should always have scale = 1/256 and offset = 0
-    const QuantizationInfo output_quantization_info = QuantizationInfo(1.f / 256, 0);
+    const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), true);
 
     SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
     SimpleTensor<float> dst_tmp = log_softmax_layer<float>(src_tmp, beta, axis);
-    SimpleTensor<T>     dst     = convert_to_asymmetric<uint8_t>(dst_tmp, output_quantization_info);
+    SimpleTensor<T>     dst     = convert_to_asymmetric<T>(dst_tmp, output_quantization_info);
     return dst;
 }
 
 template SimpleTensor<float> log_softmax_layer(const SimpleTensor<float> &src, float beta, size_t axis);
 template SimpleTensor<half> log_softmax_layer(const SimpleTensor<half> &src, float beta, size_t axis);
 template SimpleTensor<uint8_t> log_softmax_layer(const SimpleTensor<uint8_t> &src, float beta, size_t axis);
+template SimpleTensor<int8_t> log_softmax_layer(const SimpleTensor<int8_t> &src, float beta, size_t axis);
 } // namespace reference
 } // namespace validation
 } // namespace test
diff --git a/tests/validation/reference/LogSoftmaxLayer.h b/tests/validation/reference/LogSoftmaxLayer.h
index 065315ff2c..c2e3f5974e 100644
--- a/tests/validation/reference/LogSoftmaxLayer.h
+++ b/tests/validation/reference/LogSoftmaxLayer.h
@@ -38,7 +38,7 @@ namespace reference
 template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type = 0>
 SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis = 1);
 
-template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value, int>::type = 0>
+template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type = 0>
 SimpleTensor<T> log_softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis = 1);
 } // namespace reference
 } // namespace validation
diff --git a/tests/validation/reference/SoftmaxLayer.cpp b/tests/validation/reference/SoftmaxLayer.cpp
index ef2468df59..0e470260a9 100644
--- a/tests/validation/reference/SoftmaxLayer.cpp
+++ b/tests/validation/reference/SoftmaxLayer.cpp
@@ -107,21 +107,21 @@ SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axi
     return softmax_layer_generic<T>(src, beta, axis, false);
 }
 
-template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value, int>::type>
+template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type>
 SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis)
 {
-    // Note: Output quantization info should always have scale = 1/256 and offset = 0
-    const QuantizationInfo output_quantization_info = QuantizationInfo(1.f / 256, 0);
+    const QuantizationInfo output_quantization_info = arm_compute::get_softmax_output_quantization_info(src.data_type(), false);
 
     SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
     SimpleTensor<float> dst_tmp = softmax_layer<float>(src_tmp, beta, axis);
-    SimpleTensor<T>     dst     = convert_to_asymmetric<uint8_t>(dst_tmp, output_quantization_info);
+    SimpleTensor<T>     dst     = convert_to_asymmetric<T>(dst_tmp, output_quantization_info);
     return dst;
 }
 
 template SimpleTensor<float> softmax_layer(const SimpleTensor<float> &src, float beta, size_t axis);
 template SimpleTensor<half> softmax_layer(const SimpleTensor<half> &src, float beta, size_t axis);
 template SimpleTensor<uint8_t> softmax_layer(const SimpleTensor<uint8_t> &src, float beta, size_t axis);
+template SimpleTensor<int8_t> softmax_layer(const SimpleTensor<int8_t> &src, float beta, size_t axis);
 } // namespace reference
 } // namespace validation
 } // namespace test
diff --git a/tests/validation/reference/SoftmaxLayer.h b/tests/validation/reference/SoftmaxLayer.h
index 2708c807f2..2be575c2af 100644
--- a/tests/validation/reference/SoftmaxLayer.h
+++ b/tests/validation/reference/SoftmaxLayer.h
@@ -41,7 +41,7 @@ SimpleTensor<T> softmax_layer_generic(const SimpleTensor<T> &src, float beta, si
 template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type = 0>
 SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis = 1);
 
-template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value, int>::type = 0>
+template <typename T, typename std::enable_if<std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int>::type = 0>
 SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src, float beta, size_t axis = 1);
 } // namespace reference
 } // namespace validation