Update ACL pin to ec4dee8c68a3d0f6d63db184bfb2f4589429778e
* Axis for LogSoftMax and SoftMax can be either positive or negative
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I36b0507ad7600c0a98c3b8be3c0350045ee05b84
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
diff --git a/src/backends/cl/workloads/ClLogSoftmaxWorkload.cpp b/src/backends/cl/workloads/ClLogSoftmaxWorkload.cpp
index c62c9d2..6d53523 100644
--- a/src/backends/cl/workloads/ClLogSoftmaxWorkload.cpp
+++ b/src/backends/cl/workloads/ClLogSoftmaxWorkload.cpp
@@ -21,8 +21,7 @@
const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
- int aclAxis_int = ComputeAclAxis(descriptor.m_Axis, input);
- unsigned int aclAxis = ComputePositiveAxis(aclAxis_int, input);
+ int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
return arm_compute::CLLogSoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis);
}
@@ -36,8 +35,7 @@
arm_compute::ICLTensor& input = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
- int aclAxis_int = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
- unsigned int aclAxis = ComputePositiveAxis(aclAxis_int, info.m_InputTensorInfos[0]);
+ int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
m_LogSoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
}