From 65d30965eef7e8534fc16ea4ded413c42a81c362 Mon Sep 17 00:00:00 2001 From: Narumol Prangnawarat Date: Thu, 14 Mar 2019 11:55:03 +0000 Subject: IVGCVSW-2354 Caffe SqueezeNet through armnn Cl and Neon * Compute Softmax Acl axis for Cl and Neon * Add unittests for Softmax in 3D and 4D * Correct input and output layer names in CaffeSqueezeNet inference test Change-Id: I2d369d9a2db19c40f2af3341039dd33f0c5637b1 Signed-off-by: Narumol Prangnawarat --- src/backends/cl/workloads/ClSoftmaxFloatWorkload.cpp | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) (limited to 'src/backends/cl/workloads/ClSoftmaxFloatWorkload.cpp') diff --git a/src/backends/cl/workloads/ClSoftmaxFloatWorkload.cpp b/src/backends/cl/workloads/ClSoftmaxFloatWorkload.cpp index bb56802ba3..c78ab039ef 100644 --- a/src/backends/cl/workloads/ClSoftmaxFloatWorkload.cpp +++ b/src/backends/cl/workloads/ClSoftmaxFloatWorkload.cpp @@ -4,11 +4,12 @@ // #include "ClSoftmaxFloatWorkload.hpp" +#include "ClWorkloadUtils.hpp" + +#include #include #include -#include "ClWorkloadUtils.hpp" - namespace armnn { @@ -21,7 +22,9 @@ ClSoftmaxFloatWorkload::ClSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& des arm_compute::ICLTensor& input = static_cast(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ICLTensor& output = static_cast(m_Data.m_Outputs[0])->GetTensor(); - m_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta); + + unsigned int aclAxis = ComputeSoftmaxAclAxis(info.m_InputTensorInfos[0]); + m_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); } void ClSoftmaxFloatWorkload::Execute() const -- cgit v1.2.1