| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "Concatenate.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Decoders.hpp" |
| #include "Encoders.hpp" |
| |
| namespace armnn |
| { |
| |
| void Concatenate(const ConcatQueueDescriptor &data) |
| { |
| const TensorInfo& outputInfo0 = GetTensorInfo(data.m_Outputs[0]); |
| |
| std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo0, data.m_Outputs[0]->Map()); |
| Encoder<float>& encoder = *encoderPtr; |
| |
| for (unsigned int index = 0 ; index < outputInfo0.GetNumElements(); ++index) |
| { |
| unsigned int indices[MaxNumOfTensorDimensions] = { 0 }; |
| |
| unsigned int indexRemainder = index; |
| unsigned int dimensionStride = outputInfo0.GetNumElements(); |
| |
| for (unsigned int i = 0; i < outputInfo0.GetNumDimensions(); i++) |
| { |
| dimensionStride /= outputInfo0.GetShape()[i]; |
| indices[i] = indexRemainder / dimensionStride; // Use integer division to round down. |
| indexRemainder -= indices[i] * dimensionStride; |
| } |
| |
| for (unsigned int viewIdx = 0; viewIdx < data.m_ViewOrigins.size(); ++viewIdx) |
| { |
| ConcatQueueDescriptor::ViewOrigin const& view = data.m_ViewOrigins[viewIdx]; |
| |
| //Split view extents are defined by the size of (the corresponding) input tensor. |
| const TensorInfo& inputInfo = GetTensorInfo(data.m_Inputs[viewIdx]); |
| BOOST_ASSERT(inputInfo.GetNumDimensions() == outputInfo0.GetNumDimensions()); |
| |
| // Check all dimensions to see if this element is inside the given input view. |
| bool insideView = true; |
| for (unsigned int i = 0; i < inputInfo.GetNumDimensions(); i++) |
| { |
| if (indices[i] < view.m_Origin[i]) |
| { |
| insideView = false; |
| } |
| if (indices[i] >= view.m_Origin[i] + inputInfo.GetShape()[i]) |
| { |
| insideView = false; |
| } |
| } |
| |
| if (insideView) |
| { |
| std::unique_ptr<Decoder<float>> decoderPtr = |
| MakeDecoder<float>(inputInfo, data.m_Inputs[viewIdx]->Map()); |
| Decoder<float>& decoder = *decoderPtr; |
| unsigned int inIndex = 0; |
| unsigned int dimensionStride = 1; |
| |
| for (unsigned int i = inputInfo.GetNumDimensions(); i-- > 0;) |
| { |
| inIndex += dimensionStride * (indices[i] - view.m_Origin[i]); |
| dimensionStride *= inputInfo.GetShape()[i]; |
| } |
| decoder += inIndex; |
| encoder.Set(decoder.Get()); |
| |
| //What should we do if input views overlap on the output tensor? |
| //We could error, take the average, or shm else... |
| //For now just stop after finding first view (input) that matches. |
| break; |
| } |
| } |
| ++encoder; |
| } |
| } |
| |
| } //namespace armnn |