2 files changed, 0 insertions, 21 deletions
diff --git a/src/backends/cl/test/ClLayerTests.cpp b/src/backends/cl/test/ClLayerTests.cpp
index 862648e4cc..10c177c8b8 100755
--- a/src/backends/cl/test/ClLayerTests.cpp
+++ b/src/backends/cl/test/ClLayerTests.cpp
@@ -121,21 +121,6 @@ ARMNN_AUTO_TEST_CASE(DepthwiseConvolution2dAsymmetricNhwc,
 ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dAsymmetricNhwc,
                      DepthwiseConvolution2dAsymmetricTest, false, armnn::DataLayout::NHWC)
 
-// Softmax
-BOOST_AUTO_TEST_CASE(Softmax4dSupport)
-{
-    const unsigned int numDimensions = 4u;
-    std::array<unsigned int, numDimensions> dimensionSizes;
-    dimensionSizes.fill(1u);
-
-    const armnn::TensorInfo inputInfo(numDimensions, &dimensionSizes.front(), armnn::DataType::Float32);
-    const armnn::TensorInfo outputInfo(numDimensions, &dimensionSizes.front(), armnn::DataType::Float32);
-
-    // 4D Softmax should be reported as unsupported on the CL backend
-    armnn::ClLayerSupport layerSupport;
-    BOOST_TEST(!layerSupport.IsSoftmaxSupported(inputInfo, outputInfo, armnn::SoftmaxDescriptor()));
-}
-
 // Splitter
 ARMNN_AUTO_TEST_CASE(SimpleSplitter, SplitterTest)
 ARMNN_AUTO_TEST_CASE(SimpleSplitterUint8, SplitterUint8Test)
diff --git a/src/backends/cl/workloads/ClSoftmaxBaseWorkload.cpp b/src/backends/cl/workloads/ClSoftmaxBaseWorkload.cpp
index 48dd3984f1..b1dc404a6f 100644
--- a/src/backends/cl/workloads/ClSoftmaxBaseWorkload.cpp
+++ b/src/backends/cl/workloads/ClSoftmaxBaseWorkload.cpp
@@ -15,12 +15,6 @@ namespace armnn
 arm_compute::Status ClSoftmaxWorkloadValidate(const TensorInfo& input,
                                               const TensorInfo& output)
 {
-    // NOTE: We report 4D Softmax as unsupported until full support is added to ACL
-    if(input.GetShape().GetNumDimensions() >= 4u)
-    {
-        return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "4d softmax is not supported");
-    }
-
     const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
     const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);