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

4 files changed, 0 insertions, 195 deletions

diff --git a/src/armnn/layers/ConvertBf16ToFp32Layer.cpp b/src/armnn/layers/ConvertBf16ToFp32Layer.cpp
deleted file mode 100644
index a0958e36cb..0000000000
--- a/src/armnn/layers/ConvertBf16ToFp32Layer.cpp
+++ /dev/null
@@ -1,55 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ConvertBf16ToFp32Layer.hpp"
-#include "LayerCloneBase.hpp"
-
-#include <armnn/TypesUtils.hpp>
-
-#include <armnn/backends/WorkloadData.hpp>
-#include <armnn/backends/WorkloadFactory.hpp>
-
-namespace armnn
-{
-
-ConvertBf16ToFp32Layer::ConvertBf16ToFp32Layer(const char* name)
-    : Layer(1, 1, LayerType::ConvertBf16ToFp32, name)
-{
-}
-
-std::unique_ptr<IWorkload> ConvertBf16ToFp32Layer::CreateWorkload(const IWorkloadFactory& factory) const
-{
-    ConvertBf16ToFp32QueueDescriptor descriptor;
-    SetAdditionalInfo(descriptor);
-
-    return factory.CreateWorkload(LayerType::ConvertBf16ToFp32, descriptor, PrepInfoAndDesc(descriptor));
-}
-
-ConvertBf16ToFp32Layer* ConvertBf16ToFp32Layer::Clone(Graph& graph) const
-{
-    return CloneBase<ConvertBf16ToFp32Layer>(graph, GetName());
-}
-
-void ConvertBf16ToFp32Layer::ValidateTensorShapesFromInputs()
-{
-    VerifyLayerConnections(1, CHECK_LOCATION());
-
-    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
-
-    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
-
-    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
-
-    ARMNN_ASSERT(inferredShapes.size() == 1);
-
-    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ConvertBf16ToFp32Layer");
-}
-
-void ConvertBf16ToFp32Layer::ExecuteStrategy(IStrategy& strategy) const
-{
-    strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
-}
-
-} // namespace armnn
diff --git a/src/armnn/layers/ConvertBf16ToFp32Layer.hpp b/src/armnn/layers/ConvertBf16ToFp32Layer.hpp
deleted file mode 100644
index 71312758e4..0000000000
--- a/src/armnn/layers/ConvertBf16ToFp32Layer.hpp
+++ /dev/null
@@ -1,42 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <Layer.hpp>
-
-namespace armnn
-{
-
-/// This layer converts data type BFloat16 to Float32.
-class ConvertBf16ToFp32Layer : public Layer
-{
-public:
-    /// Makes a workload for the ConvertBf16ToFp32 type.
-    /// @param [in] factory The workload factory which will create the workload.
-    /// @return A pointer to the created workload, or nullptr if not created.
-    virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
-
-    /// Creates a dynamically-allocated copy of this layer.
-    /// @param [in] graph The graph into which this layer is being cloned.
-    ConvertBf16ToFp32Layer* Clone(Graph& graph) const override;
-
-    /// Check if the input tensor shape(s)
-    /// will lead to a valid configuration of @ref ConvertBf16ToFp32Layer.
-    /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
-    void ValidateTensorShapesFromInputs() override;
-
-    void ExecuteStrategy(IStrategy& strategy) const override;
-
-protected:
-    /// Constructor to create a ConvertBf16ToFp32Layer.
-    /// @param [in] name Optional name for the layer.
-    ConvertBf16ToFp32Layer(const char* name);
-
-    /// Default destructor
-    ~ConvertBf16ToFp32Layer() = default;
-};
-
-} // namespace
diff --git a/src/armnn/layers/ConvertFp32ToBf16Layer.cpp b/src/armnn/layers/ConvertFp32ToBf16Layer.cpp
deleted file mode 100644
index 7c98eea239..0000000000
--- a/src/armnn/layers/ConvertFp32ToBf16Layer.cpp
+++ /dev/null
@@ -1,56 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ConvertFp32ToBf16Layer.hpp"
-#include "LayerCloneBase.hpp"
-
-#include <armnn/TypesUtils.hpp>
-
-#include <armnn/backends/WorkloadData.hpp>
-#include <armnn/backends/WorkloadFactory.hpp>
-
-namespace armnn
-{
-
-ConvertFp32ToBf16Layer::ConvertFp32ToBf16Layer(const char* name)
-    : Layer(1, 1, LayerType::ConvertFp32ToBf16, name)
-{
-}
-
-std::unique_ptr<IWorkload> ConvertFp32ToBf16Layer::CreateWorkload(const IWorkloadFactory& factory) const
-{
-    ConvertFp32ToBf16QueueDescriptor descriptor;
-    SetAdditionalInfo(descriptor);
-
-    return factory.CreateWorkload(LayerType::ConvertFp32ToBf16, descriptor, PrepInfoAndDesc(descriptor));
-}
-
-ConvertFp32ToBf16Layer* ConvertFp32ToBf16Layer::Clone(Graph& graph) const
-{
-    return CloneBase<ConvertFp32ToBf16Layer>(graph, GetName());
-}
-
-void ConvertFp32ToBf16Layer::ValidateTensorShapesFromInputs()
-{
-
-    VerifyLayerConnections(1, CHECK_LOCATION());
-
-    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
-
-    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
-
-    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
-
-    ARMNN_ASSERT(inferredShapes.size() == 1);
-
-    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "LayerName");
-}
-
-void ConvertFp32ToBf16Layer::ExecuteStrategy(IStrategy& strategy) const
-{
-    strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
-}
-
-} // namespace armnn
diff --git a/src/armnn/layers/ConvertFp32ToBf16Layer.hpp b/src/armnn/layers/ConvertFp32ToBf16Layer.hpp
deleted file mode 100644
index 71de4fbcda..0000000000
--- a/src/armnn/layers/ConvertFp32ToBf16Layer.hpp
+++ /dev/null
@@ -1,42 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <Layer.hpp>
-
-namespace armnn
-{
-
-/// This layer converts data type Float32 to BFloat16.
-class ConvertFp32ToBf16Layer : public Layer
-{
-public:
-    /// Makes a workload for the ConvertFp32ToBf16Layer type.
-    /// @param [in] factory The workload factory which will create the workload.
-    /// @return A pointer to the created workload, or nullptr if not created.
-    virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
-
-    /// Creates a dynamically-allocated copy of this layer.
-    /// @param [in] graph The graph into which this layer is being cloned.
-    ConvertFp32ToBf16Layer* Clone(Graph& graph) const override;
-
-    /// Check if the input tensor shape(s)
-    /// will lead to a valid configuration of @ref ConvertFp32ToBf16Layer.
-    /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
-    void ValidateTensorShapesFromInputs() override;
-
-    void ExecuteStrategy(IStrategy& strategy) const override;
-
-protected:
-    /// Constructor to create a ConvertFp32ToBf16Layer.
-    /// @param [in] name Optional name for the layer.
-    ConvertFp32ToBf16Layer(const char* name);
-
-    /// Default destructor
-    ~ConvertFp32ToBf16Layer() = default;
-};
-
-} // namespace