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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "StridedSliceLayer.hpp"
#include "LayerCloneBase.hpp"
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <boost/numeric/conversion/cast.hpp>
namespace armnn
{
StridedSliceLayer::StridedSliceLayer(const armnn::StridedSliceDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::StridedSlice, param, name)
{
}
std::unique_ptr<IWorkload> StridedSliceLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
StridedSliceQueueDescriptor descriptor;
descriptor.m_Parameters.m_Begin = m_Param.m_Begin;
descriptor.m_Parameters.m_End = m_Param.m_End;
descriptor.m_Parameters.m_Stride = m_Param.m_Stride;
// Optional parameters
descriptor.m_Parameters.m_BeginMask = m_Param.m_BeginMask;
descriptor.m_Parameters.m_EndMask = m_Param.m_EndMask;
descriptor.m_Parameters.m_EllipsisMask = m_Param.m_EllipsisMask;
descriptor.m_Parameters.m_NewAxisMask = m_Param.m_NewAxisMask;
descriptor.m_Parameters.m_ShrinkAxisMask = m_Param.m_ShrinkAxisMask;
return factory.CreateStridedSlice(descriptor, PrepInfoAndDesc(descriptor));
}
StridedSliceLayer* StridedSliceLayer::Clone(Graph& graph) const
{
return CloneBase<StridedSliceLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> StridedSliceLayer::InferOutputShapes(
const std::vector<TensorShape>& inputShapes) const
{
ARMNN_ASSERT(inputShapes.size() == 1);
TensorShape inputShape = inputShapes[0];
std::vector<unsigned int> outputShape;
unsigned int amountDimShrunk{0};
for (unsigned int i = 0; i < inputShape.GetNumDimensions(); i++)
{
int stride = m_Param.m_Stride[i];
int start = m_Param.GetStartForAxis(inputShape, i);
int stop = m_Param.GetStopForAxis(inputShape, i, start);
if (m_Param.m_ShrinkAxisMask & (1 << i))
{
amountDimShrunk+=1;
// If the difference between the start point and the end point of the slice on an axis being shrunk
// is greater than 1 then throw an error as the output will not be large enough to hold the slice
if (((m_Param.m_Begin[i] - m_Param.m_End[i]) > 1) || ((m_Param.m_Begin[i] - m_Param.m_End[i]) < -1))
{
throw LayerValidationException(
"StridedSlice: Attempting to take a larger slice than can fit in inferred output");
}
if (stride < 0)
{
throw LayerValidationException(
"StridedSlice: Stride can not be negative with Shrink Axis Mask set.");
}
continue;
}
int newSize = stride > 0 ? ((stop - start) + stride - 1) / stride :
((start - stop) - stride - 1) / -stride;
newSize = std::max(0, newSize);
outputShape.push_back(boost::numeric_cast<unsigned int>(newSize));
}
if (outputShape.size() == 0 && (inputShape.GetNumDimensions() - amountDimShrunk) == 0)
{
outputShape.push_back(1);
}
return std::vector<TensorShape>({
TensorShape(boost::numeric_cast<unsigned int>(outputShape.size()), &outputShape[0]) });
}
void StridedSliceLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod)
{
IgnoreUnused(shapeInferenceMethod);
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()});
ARMNN_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"StridedSlice: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void StridedSliceLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitStridedSliceLayer(this, GetParameters(), GetName());
}
} // namespace armnn
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