IVGCVSW-7623: GpuFsa Op: Add Pool2d operator

* Add Pool2d EndToEnd tests to all backends
* Add utility functions for the attributes in a separate file
* Remove some unnecessary includes

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0f82ebbf7b3301c6368462fb4fb4d4d02b246fc6

1 files changed, 61 insertions, 0 deletions

diff --git a/src/backends/gpuFsa/layers/UtilsGpuFsa.cpp b/src/backends/gpuFsa/layers/UtilsGpuFsa.cpp
new file mode 100644
index 0000000000..a1d96f0ec1
--- /dev/null
+++ b/src/backends/gpuFsa/layers/UtilsGpuFsa.cpp
@@ -0,0 +1,61 @@
+//
+// Copyright © 2023-2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "UtilsGpuFsa.hpp"
+#include "aclCommon/ArmComputeTensorUtils.hpp"
+#include "aclCommon/ArmComputeUtils.hpp"
+
+using namespace armnn;
+using namespace armnn::armcomputetensorutils;
+using namespace arm_compute::experimental::dynamic_fusion;
+
+Conv2dAttributes CreateConv2dAttributes(const Convolution2dDescriptor& descriptor)
+{
+    const arm_compute::Padding2D padInfo      = BuildArmComputePaddingInfo(descriptor);
+    const arm_compute::Size2D    strideInfo   = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY);
+    const arm_compute::Size2D    dilationInfo = BuildArmComputeSize2D(descriptor.m_DilationX, descriptor.m_DilationY);
+
+    arm_compute::experimental::dynamic_fusion::Conv2dAttributes conv2dAttributes{};
+    conv2dAttributes.pad(padInfo);
+    conv2dAttributes.stride(strideInfo);
+    conv2dAttributes.dilation(dilationInfo);
+
+    return conv2dAttributes;
+}
+
+arm_compute::experimental::dynamic_fusion::DepthwiseConv2dAttributes
+CreateDWConv2dAttributes(const DepthwiseConvolution2dDescriptor& descriptor, const unsigned int aclDepthMultiplier)
+{
+    const arm_compute::Padding2D padInfo      = BuildArmComputePaddingInfo(descriptor);
+    const arm_compute::Size2D    strideInfo   = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY);
+    const arm_compute::Size2D    dilationInfo = BuildArmComputeSize2D(descriptor.m_DilationX, descriptor.m_DilationY);
+
+    arm_compute::experimental::dynamic_fusion::DepthwiseConv2dAttributes depthwiseConv2dAttributes{};
+    depthwiseConv2dAttributes.pad(padInfo);
+    depthwiseConv2dAttributes.stride(strideInfo);
+    depthwiseConv2dAttributes.dilation(dilationInfo);
+    depthwiseConv2dAttributes.depth_multiplier(aclDepthMultiplier);
+
+    return depthwiseConv2dAttributes;
+}
+
+arm_compute::experimental::dynamic_fusion::Pool2dAttributes
+CreatePool2dAttributes(const Pooling2dDescriptor& descriptor)
+{
+    const arm_compute::PoolingType poolType = ConvertPoolingAlgorithmToAclPoolingType(descriptor.m_PoolType);
+    const arm_compute::Padding2D   padding  = BuildArmComputePaddingInfo(descriptor);
+    const arm_compute::Size2D      poolSize = BuildArmComputeSize2D(descriptor.m_PoolWidth, descriptor.m_PoolHeight);
+    const arm_compute::Size2D      strides  = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY);
+    const bool excludePadding = (descriptor.m_PaddingMethod == PaddingMethod::Exclude);
+
+    arm_compute::experimental::dynamic_fusion::Pool2dAttributes pool2dAttributes{};
+    pool2dAttributes.pool_type(poolType);
+    pool2dAttributes.pad(padding);
+    pool2dAttributes.pool_size(poolSize);
+    pool2dAttributes.stride(strides);
+    pool2dAttributes.exclude_padding(excludePadding);
+
+    return pool2dAttributes;
+}
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