From 6b47809e7d6c55d20a05d863ce2f09159f381f85 Mon Sep 17 00:00:00 2001
From: Samuel Yap <samuel.yap@arm.com>
Date: Wed, 6 Jul 2022 15:36:03 +0100
Subject: IVGCVSW-7109: Add Batch MatMul front end support - Reference

  * Descriptors added for BatchMatMul
  * Layer definition added
  * Input validation added (will likely change when opt. param support comes in)
  * Ref workload implementation for BatchMatMul added (will also change with opt. param support)
  * Ref layer tests made for BatchMatMul
  * CMake and other build files updated

Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ic885301da543ee0fbe7922b85e7f9658c4efc617
---
 .../test/layerTests/BatchMatMulTestImpl.cpp        | 1010 ++++++++++++++++++++
 .../test/layerTests/BatchMatMulTestImpl.hpp        |   85 ++
 2 files changed, 1095 insertions(+)
 create mode 100644 src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp
 create mode 100644 src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.hpp

(limited to 'src/backends/backendsCommon/test/layerTests')

diff --git a/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp
new file mode 100644
index 0000000000..41add6e6da
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp
@@ -0,0 +1,1010 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "BatchMatMulTestImpl.hpp"
+
+#include <armnn/backends/IBackendInternal.hpp>
+#include <armnn/backends/Workload.hpp>
+#include <armnn/backends/WorkloadData.hpp>
+#include <armnn/backends/WorkloadFactory.hpp>
+
+#include <armnnTestUtils/WorkloadTestUtils.hpp>
+#include <armnnUtils/QuantizeHelper.hpp>
+#include <armnnTestUtils/TensorCopyUtils.hpp>
+#include <armnn/Optional.hpp>
+
+
+template<armnn::DataType ArmnnType, typename T, std::size_t NumDims>
+LayerTestResult<T, NumDims> BatchMatMulTestImpl(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    armnn::BatchMatMulDescriptor descriptor,
+    const std::vector<T>& inputX,
+    const std::vector<T>& inputY,
+    const std::vector<T>& outputExpected,
+    const armnn::TensorInfo& inputXInfo,
+    const armnn::TensorInfo& inputYInfo,
+    const armnn::TensorInfo& outputInfo)
+{
+    std::vector<T> outputActual(outputInfo.GetNumElements());
+
+    std::unique_ptr<armnn::ITensorHandle> inputXHandle = tensorHandleFactory.CreateTensorHandle(inputXInfo);
+    std::unique_ptr<armnn::ITensorHandle> inputYHandle = tensorHandleFactory.CreateTensorHandle(inputYInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
+
+    armnn::BatchMatMulQueueDescriptor queueDescriptor;
+    queueDescriptor.m_Parameters = descriptor;
+    armnn::WorkloadInfo workloadInfo;
+
+    AddInputToWorkload(queueDescriptor, workloadInfo, inputXInfo, inputXHandle.get());
+    AddInputToWorkload(queueDescriptor, workloadInfo, inputYInfo, inputYHandle.get());
+    AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get());
+
+    auto workload = workloadFactory.CreateWorkload(armnn::LayerType::BatchMatMul, queueDescriptor, workloadInfo);
+
+    inputXHandle->Allocate();
+    inputYHandle->Allocate();
+    outputHandle->Allocate();
+
+    CopyDataToITensorHandle(inputXHandle.get(), inputX.data());
+    CopyDataToITensorHandle(inputYHandle.get(), inputY.data());
+
+    workload->PostAllocationConfigure();
+    ExecuteWorkload(*workload, memoryManager);
+
+    CopyDataFromITensorHandle(outputActual.data(), outputHandle.get());
+
+    return LayerTestResult<T, NumDims>(outputActual,
+                                       outputExpected,
+                                       outputHandle->GetShape(),
+                                       outputInfo.GetShape());
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> BatchMatMul2DSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5, 6,
+        7, 8
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        19, 22,
+        43, 50
+    }, qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory,
+                                             memoryManager,
+                                             tensorHandleFactory,
+                                             descriptor,
+                                             inputX,
+                                             inputY,
+                                             outputExpected,
+                                             inputXInfo,
+                                             inputYInfo,
+                                             outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({1,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({1,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({1,2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5, 6,
+        7, 8
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        19, 22,
+        43, 50
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> BatchMatMulNCHWSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(
+        armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NCHW),
+        armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NCHW));
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({1,1,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({1,1,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({1,1,2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5, 6,
+        7, 8
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        19, 22,
+        43, 50
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> BatchMatMulNHWCSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(
+        armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NHWC),
+        armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NHWC));
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({1,2,2,1}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({1,2,2,1}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({1,2,2,1}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5, 6,
+        7, 8
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        19, 22,
+        43, 50
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DBatchTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({2,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4,
+
+       9, 10,
+       11, 12
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5, 6,
+        7, 8,
+
+        13, 14,
+        15, 16
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        19, 22,
+        43, 50,
+
+        267, 286,
+        323, 346
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DBroadcastTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({1,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4,
+
+       9, 10,
+       11, 12
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        13, 14,
+        15, 16
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        43, 46,
+        99, 106,
+
+        267, 286,
+        323, 346
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3D2DBroadcastTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       1, 2,
+       3, 4,
+
+       9, 10,
+       11, 12
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        13, 14,
+        15, 16
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        43, 46,
+        99, 106,
+
+        267, 286,
+        323, 346
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 5> BatchMatMulNDHWCNHWCTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(
+        armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NDHWC),
+        armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NHWC));
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({1,2,2,2}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+        1, 20,
+        3, 22,
+
+        2, 21,
+        4, 23
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5, 24,
+        7, 26,
+
+        6, 25,
+        8, 27
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+       23, 1030,
+       31, 1114,
+
+       34, 1079,
+       46, 1167
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 5>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> BatchMatMul2DTinyTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({1,1}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({1,1}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({1,1}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       3
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        5
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        15
+    }, qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory,
+                                             memoryManager,
+                                             tensorHandleFactory,
+                                             descriptor,
+                                             inputX,
+                                             inputY,
+                                             outputExpected,
+                                             inputXInfo,
+                                             inputYInfo,
+                                             outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DNonSquareTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+    float qScale = 0.0f;
+    int32_t qOffset = 0;
+
+    switch(ArmnnType)
+    {
+        case armnn::DataType::QAsymmS8:
+        case armnn::DataType::QAsymmU8:
+        case armnn::DataType::QSymmS16:
+            qScale = 1.0f;
+            break;
+        default:
+            break;
+    }
+
+    armnn::TensorInfo inputXInfo({2,5,3}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo inputYInfo({2,3,4}, ArmnnType, qScale, qOffset);
+    armnn::TensorInfo outputInfo({2,5,4}, ArmnnType, qScale, qOffset);
+
+    std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+       8, 8, 4,
+       6, 1, 3,
+       8, 8, 3,
+       8, 9, 8,
+       5, 4, 4,
+
+       1, 8, 5,
+       7, 1, 1,
+       8, 7, 9,
+       3, 2, 7,
+       8, 5, 3
+    }, qScale, qOffset);
+
+    std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+        6, 2, 3, 2,
+        6, 2, 2, 8,
+        3, 7, 8, 1,
+
+        7, 2, 9, 5,
+        2, 3, 1, 3,
+        2, 7, 7, 5
+    }, qScale, qOffset);
+
+    std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+        108, 60, 72, 84,
+        51, 35, 44, 23,
+        105, 53, 64, 83,
+        126, 90, 106, 96,
+        66, 46, 55, 46,
+
+        33, 61, 52, 54,
+        53, 24, 71, 43,
+        88, 100, 142, 106,
+        39, 61, 78, 56,
+        72, 52, 98, 70
+    },qScale, qOffset);
+
+    return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+                                                memoryManager,
+                                                tensorHandleFactory,
+                                                descriptor,
+                                                inputX,
+                                                inputY,
+                                                outputExpected,
+                                                inputXInfo,
+                                                inputYInfo,
+                                                outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::BFloat16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file
diff --git a/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.hpp
new file mode 100644
index 0000000000..9e2139667b
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.hpp
@@ -0,0 +1,85 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnnTestUtils/LayerTestResult.hpp>
+
+#include <ResolveType.hpp>
+
+#include <armnn/backends/IBackendInternal.hpp>
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>, std::size_t NumDims>
+LayerTestResult<T, NumDims> BatchMatMulTestImpl(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
+    armnn::BatchMatMulDescriptor descriptor,
+    const std::vector<T>& inputX,
+    const std::vector<T>& inputY,
+    const std::vector<T>& outputExpected,
+    const armnn::TensorInfo& inputXInfo,
+    const armnn::TensorInfo& inputYInfo,
+    const armnn::TensorInfo& outputInfo);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> BatchMatMul2DSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> BatchMatMul3DSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchMatMulNCHWSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchMatMulNHWCSimpleTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> BatchMatMul3DBatchTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> BatchMatMul3DBroadcastTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> BatchMatMul3D2DBroadcastTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 5> BatchMatMulNDHWCNHWCTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> BatchMatMul2DTinyTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> BatchMatMul3DNonSquareTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file
-- 
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