Update the CL pin to the latest master

* Update SoftMaxUint8Workload for CL and NEON to deal with
  quantization parameters as vectors.
* Change Sigmoid Activation function QAsymm8 tests to use
  scale=1.f/256.f and offset=0 as quatization output parameters.

!android-nn-driver:1417

Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Change-Id: Ief91f10193fbbbad0c0124ece41f0bf4e0dcd992

1 files changed, 5 insertions, 1 deletions

diff --git a/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp b/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp
index 7b2d29086e..d1e49d954c 100644
--- a/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp
+++ b/src/backends/neon/workloads/NeonSoftmaxUint8Workload.cpp
@@ -25,11 +25,15 @@ NeonSoftmaxUint8Workload::NeonSoftmaxUint8Workload(const SoftmaxQueueDescriptor&
 
     const auto outputQuantization = output.info()->quantization_info();
 
-    if ((outputQuantization.scale != (1.0f / 256.0f)) || (outputQuantization.offset != 0))
+    if (((!outputQuantization.scale.empty()) && (outputQuantization.scale[0] != (1.0f / 256.0f))) ||
+        ((!outputQuantization.offset.empty()) && (outputQuantization.offset[0] != 0)) ||
+        (outputQuantization.scale.empty()) ||
+        (outputQuantization.offset.empty()))
     {
         throw InvalidArgumentException(
             "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported");
     }
+
     unsigned int aclAxis = ComputeSoftmaxAclAxis(info.m_InputTensorInfos[0]);
 
     auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager);