IVGCVSW-1900 : CL backend folder structure

* moving backends/ClWorkloads to backends/cl
* and moving pure Cl workload related code to
  backends/cl/workloads

Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129

1 files changed, 48 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClConvolution2dBaseWorkload.cpp b/src/backends/cl/workloads/ClConvolution2dBaseWorkload.cpp
new file mode 100644
index 0000000000..58699a8287
--- /dev/null
+++ b/src/backends/cl/workloads/ClConvolution2dBaseWorkload.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClConvolution2dBaseWorkload.hpp"
+#include <backends/cl/ClLayerSupport.hpp>
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeUtils.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <arm_compute/runtime/CL/functions/CLConvolutionLayer.h>
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo& input,
+    const TensorInfo& output,
+    const Convolution2dDescriptor& descriptor,
+    const TensorInfo& weights,
+    const boost::optional<TensorInfo>& biases)
+{
+    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
+    const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);
+
+    arm_compute::TensorInfo aclBiasesInfo;
+    arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr;
+
+    if (descriptor.m_BiasEnabled)
+    {
+        BOOST_ASSERT(biases.is_initialized());
+
+        aclBiasesInfo = BuildArmComputeTensorInfo(biases.get(), descriptor.m_DataLayout);
+        optionalAclBiasesInfo = &aclBiasesInfo;
+    }
+
+    arm_compute::PadStrideInfo layerInfo = BuildArmComputePadStrideInfo(descriptor);
+
+    return arm_compute::CLConvolutionLayer::validate(&aclInputInfo,
+                                                     &aclWeightsInfo,
+                                                     optionalAclBiasesInfo,
+                                                     &aclOutputInfo,
+                                                     layerInfo);
+}
+
+}