arm_compute v20.02
diff --git a/tests/validation/reference/LogSoftmaxLayer.cpp b/tests/validation/reference/LogSoftmaxLayer.cpp
index 3f21d85..e440395 100644
--- a/tests/validation/reference/LogSoftmaxLayer.cpp
+++ b/tests/validation/reference/LogSoftmaxLayer.cpp
@@ -40,21 +40,21 @@
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