From 31441595009182c985dacbedc70c41ee6664d070 Mon Sep 17 00:00:00 2001
From: Ryan OShea <ryan.oshea3@arm.com>
Date: Mon, 7 Nov 2022 16:20:48 +0000
Subject: IVGCVSW-7214 Disable BF16-Turbo-Mode and remove conversion layers

 - Remove Bf16ToFp32 Conversion Layer
 - Remove Fp32ToBf16 Conversion Layer
 - Remove B16 Conversion tests
 * Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true
 * Provide comments to enable fast math in order to use bf16
 * Update docs to inform users to enable fast math for bf16

 Execute Network Changes
 * Require bf16_turbo_mode to also have fast_math_enabled set to true
 - Remove setting m_ReduceFp32ToBf16 optimizer option

Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
---
 .../workloads/RefConvertBf16ToFp32Workload.cpp     | 39 ----------------------
 1 file changed, 39 deletions(-)
 delete mode 100644 src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp

(limited to 'src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp')

diff --git a/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp b/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp
deleted file mode 100644
index 2fe2eafb9b..0000000000
--- a/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp
+++ /dev/null
@@ -1,39 +0,0 @@
-//
-// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefConvertBf16ToFp32Workload.hpp"
-#include "RefWorkloadUtils.hpp"
-
-#include <armnnUtils/FloatingPointConverter.hpp>
-
-#include <BFloat16.hpp>
-
-namespace armnn
-{
-
-void RefConvertBf16ToFp32Workload::Execute() const
-{
-    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
-}
-
-void RefConvertBf16ToFp32Workload::ExecuteAsync(ExecutionData& executionData)
-{
-    WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
-    Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
-}
-
-void RefConvertBf16ToFp32Workload::Execute(std::vector<ITensorHandle*> inputs,
-                                           std::vector<ITensorHandle*> outputs) const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvertBf16ToFp32Workload_Execute");
-
-    const BFloat16* const input = reinterpret_cast<const BFloat16*>(inputs[0]->Map());
-    float* const output = reinterpret_cast<float*>(outputs[0]->Map());
-
-    unsigned int numElements = GetTensorInfo(inputs[0]).GetNumElements();
-    armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(input, numElements, output);
-}
-
-} //namespace armnn
-- 
cgit v1.2.1