1 files changed, 78 insertions, 0 deletions
diff --git a/src/backends/gpuFsa/layers/GpuFsaReshape.cpp b/src/backends/gpuFsa/layers/GpuFsaReshape.cpp
new file mode 100644
index 0000000000..47d4e42838
--- /dev/null
+++ b/src/backends/gpuFsa/layers/GpuFsaReshape.cpp
@@ -0,0 +1,78 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "GpuFsaReshape.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuReshape.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h>
+
+using namespace arm_compute::experimental::dynamic_fusion;
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status GpuFsaReshapeValidate(const TensorInfo& input, const ReshapeDescriptor& descriptor)
+{
+    auto compileContext  = arm_compute::CLKernelLibrary::get().get_compile_context();
+    auto workloadContext = GpuWorkloadContext(&compileContext);
+
+    GpuWorkloadSketch sketch(&workloadContext);
+
+    arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, input.GetNumDimensions());
+    aclInputInfo.set_are_values_constant(input.IsConstant());
+
+    arm_compute::ITensorInfo* inputInfo = workloadContext.create_tensor_info(aclInputInfo);
+
+    ReshapeAttributes attributes;
+    attributes.shape(BuildArmComputeTensorShape(descriptor.m_TargetShape));
+
+    arm_compute::Status aclStatus = GpuReshape::validate_op(sketch, inputInfo, attributes);
+
+#ifndef NDEBUG
+    if (aclStatus.error_code() != arm_compute::ErrorCode::OK)
+    {
+        std::cout << "GpuFsaReshapeValidate failed: " << aclStatus.error_description() << std::endl;
+    }
+#endif
+
+    return aclStatus;
+}
+
+void GpuFsaReshapeCreateOp(GpuFsaPreCompiledBlob* blob, const TensorInfo& input, const ReshapeDescriptor& descriptor)
+{
+    GpuWorkloadSketch*  sketch          = blob->sketch.get();
+    GpuWorkloadContext* workloadContext = blob->workloadContext.get();
+
+    std::vector<arm_compute::ITensorInfo*> inputTensorInfos;
+    std::vector<arm_compute::ITensorInfo*> outputTensorInfos;
+
+    arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, input.GetNumDimensions());
+
+    aclInputInfo.set_are_values_constant(input.IsConstant());
+
+    inputTensorInfos.emplace_back(workloadContext->create_tensor_info(aclInputInfo));
+
+    ReshapeAttributes attributes;
+    attributes.shape(BuildArmComputeTensorShape(descriptor.m_TargetShape));
+
+    arm_compute::ITensorInfo* addOutputInfo = GpuReshape::create_op(*sketch, inputTensorInfos[0], attributes);
+
+    // Temporary fix until fusing attempt is made for GpuFsa backend and outputLayer workoad is created
+    outputTensorInfos.emplace_back(workloadContext->create_tensor_info());
+    GpuOutput::create_op(*sketch, addOutputInfo, outputTensorInfos[0]);
+
+    // Store the tensorInfos within the blob as std::unique_ptr<> so they can be used later
+    blob->inputTensorInfos  = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(inputTensorInfos);
+    blob->outputTensorInfos = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(outputTensorInfos);
+}
+
+} // namespace armnn
+