1 files changed, 0 insertions, 84 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
deleted file mode 100644
index 5ee8f1dd9a..0000000000
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
+++ /dev/null
@@ -1,84 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ConvertFp32ToBf16TestImpl.hpp"
-
-#include <armnnTestUtils/TensorCopyUtils.hpp>
-#include <armnnTestUtils/WorkloadTestUtils.hpp>
-
-#include <armnnTestUtils/TensorHelpers.hpp>
-
-LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    const armnn::ITensorHandleFactory& tensorHandleFactory)
-{
-    IgnoreUnused(memoryManager);
-
-    const armnn::TensorInfo inputTensorInfo({1, 2, 4, 3}, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo({1, 2, 4, 3}, armnn::DataType::BFloat16);
-
-    std::vector<float> input =
-        {
-          -37.5f, -15.2f, -8.76f,
-          -2.0f, -1.5f, -1.3f,
-          -0.5f, -0.4f, 0.0f,
-          1.0f, 0.4f, 0.5f,
-          1.3f, 1.5f, 2.0f,
-          8.76f, 15.2f, 37.5f,
-          3.8f, // 0x40733333 Round down
-          3.1055E+29f, // 0x707ADC3C Round up
-          9.149516E-10f, // 0x307B7FFF Round down
-          -3.8f, // 0xC0733333 Round down
-          -3.1055E+29f, // 0xF07ADC3C Round up
-          -9.149516E-10f // 0xB07B7FFF Round down
-        };
-
-    std::vector<armnn::BFloat16> expectedOutput = armnnUtils::QuantizedVector<armnn::BFloat16>(
-        {
-          -37.5f, -15.2f, -8.76f,
-          -2.0f, -1.5f, -1.3f,
-          -0.5f, -0.4f, 0.0f,
-          1.0f, 0.4f, 0.5f,
-          1.3f, 1.5f, 2.0f,
-          8.76f, 15.2f, 37.5f,
-          3.796875f, // 0x4073
-          3.1072295E29f, // 0x707B
-          9.131327E-10f, // 0x307B
-          -3.796875f, // 0xC073
-          -3.1072295E29f, // 0xF07B
-          -9.131327E-10f // 0xB07B
-        },
-        1.0f, 0);
-
-    std::vector<armnn::BFloat16> actualOutput(outputTensorInfo.GetNumElements());
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::ConvertFp32ToBf16QueueDescriptor data;
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::ConvertFp32ToBf16,
-                                                                                data,
-                                                                                info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), input.data());
-
-    workload->Execute();
-
-    CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
-
-    return LayerTestResult<armnn::BFloat16, 4>(actualOutput,
-                                               expectedOutput,
-                                               outputHandle->GetShape(),
-                                               outputTensorInfo.GetShape());
-
-}