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-rw-r--r--src/backends/cl/test/ClCreateWorkloadTests.cpp4
-rw-r--r--src/backends/cl/test/ClImportTensorHandleTests.cpp8
2 files changed, 11 insertions, 1 deletions
diff --git a/src/backends/cl/test/ClCreateWorkloadTests.cpp b/src/backends/cl/test/ClCreateWorkloadTests.cpp
index 4f53b921d0..3a757f8820 100644
--- a/src/backends/cl/test/ClCreateWorkloadTests.cpp
+++ b/src/backends/cl/test/ClCreateWorkloadTests.cpp
@@ -471,6 +471,8 @@ TEST_CASE_FIXTURE(ClContextControlFixture, "CreateConvolution2dClCompiledContext
auto tensorHandleFactory = ClWorkloadFactoryHelper::GetTensorHandleFactory(memoryManager);
std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputInfo);
+ std::unique_ptr<armnn::ITensorHandle> weightsHandle = tensorHandleFactory.CreateTensorHandle(kernelInfo);
+ std::unique_ptr<armnn::ITensorHandle> biasHandle = tensorHandleFactory.CreateTensorHandle(biasInfo);
std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
@@ -487,6 +489,8 @@ TEST_CASE_FIXTURE(ClContextControlFixture, "CreateConvolution2dClCompiledContext
queueDescriptor.m_Bias = &biasTensor;
AddInputToWorkload(queueDescriptor, workloadInfo, inputInfo, inputHandle.get());
+ AddInputToWorkload(queueDescriptor, workloadInfo, kernelInfo, weightsHandle.get());
+ AddInputToWorkload(queueDescriptor, workloadInfo, biasInfo, biasHandle.get());
AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get());
// Initialize our m_CLCompileContext using default device and context
diff --git a/src/backends/cl/test/ClImportTensorHandleTests.cpp b/src/backends/cl/test/ClImportTensorHandleTests.cpp
index e10e81ac26..9bfd1fb46d 100644
--- a/src/backends/cl/test/ClImportTensorHandleTests.cpp
+++ b/src/backends/cl/test/ClImportTensorHandleTests.cpp
@@ -11,7 +11,6 @@
#include <doctest/doctest.h>
-
#include <armnn/IRuntime.hpp>
#include <armnn/INetwork.hpp>
#include "Network.hpp"
@@ -320,10 +319,13 @@ TEST_CASE_FIXTURE(ClContextControlFixture, "ClForceImportConv2dEndToEnd")
convDesc2d.m_PadTop = 1;
convDesc2d.m_PadBottom = 1;
convDesc2d.m_DataLayout = DataLayout::NHWC;
+
+ ARMNN_NO_DEPRECATE_WARN_BEGIN
armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(convDesc2d,
weights,
armnn::EmptyOptional(),
"conv");
+ ARMNN_NO_DEPRECATE_WARN_END
ARMNN_ASSERT(convLayer);
inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0));
@@ -876,10 +878,12 @@ TEST_CASE_FIXTURE(ClContextControlFixture, "ClForceImportRepeatedInferencesEndTo
convDesc2d.m_PadTop = 1;
convDesc2d.m_PadBottom = 1;
convDesc2d.m_DataLayout = DataLayout::NHWC;
+ ARMNN_NO_DEPRECATE_WARN_BEGIN
armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(convDesc2d,
weights,
armnn::EmptyOptional(),
"conv");
+ ARMNN_NO_DEPRECATE_WARN_END
ARMNN_ASSERT(convLayer);
inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0));
@@ -1094,10 +1098,12 @@ TEST_CASE_FIXTURE(ClContextControlFixture, "ClForceImportRepeatedInferencesInver
convDesc2d.m_PadTop = 1;
convDesc2d.m_PadBottom = 1;
convDesc2d.m_DataLayout = DataLayout::NHWC;
+ ARMNN_NO_DEPRECATE_WARN_BEGIN
armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(convDesc2d,
weights,
armnn::EmptyOptional(),
"conv");
+ ARMNN_NO_DEPRECATE_WARN_END
ARMNN_ASSERT(convLayer);
inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0));