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Diffstat (limited to 'src/backends/reference/workloads/Debug.cpp')
-rw-r--r-- | src/backends/reference/workloads/Debug.cpp | 127 |
1 files changed, 0 insertions, 127 deletions
diff --git a/src/backends/reference/workloads/Debug.cpp b/src/backends/reference/workloads/Debug.cpp deleted file mode 100644 index 49e9e02ffb..0000000000 --- a/src/backends/reference/workloads/Debug.cpp +++ /dev/null @@ -1,127 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "Debug.hpp" - -#include <Half.hpp> - -#include <boost/numeric/conversion/cast.hpp> - -#include <algorithm> -#include <iostream> - -namespace armnn -{ - -template <typename T> -void Debug(const TensorInfo& inputInfo, - const T* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex) -{ - const unsigned int numDims = inputInfo.GetNumDimensions(); - const unsigned int numElements = inputInfo.GetNumElements(); - const TensorShape& inputShape = inputInfo.GetShape(); - - std::vector<unsigned int> strides(numDims, 0); - strides[numDims - 1] = inputShape[numDims - 1]; - - for (unsigned int i = 2; i <= numDims; i++) - { - strides[numDims - i] = strides[numDims - i + 1] * inputShape[numDims - i]; - } - - std::cout << "{ "; - std::cout << "\"layerGuid\": " << guid << ", "; - std::cout << "\"layerName\": \"" << layerName << "\", "; - std::cout << "\"outputSlot\": " << slotIndex << ", "; - std::cout << "\"shape\": "; - - std::cout << "["; - for (unsigned int i = 0; i < numDims; i++) - { - std::cout << inputShape[i]; - if (i != numDims - 1) - { - std::cout << ", "; - } - } - std::cout << "], "; - - std::cout << "\"min\": " - << boost::numeric_cast<float>(*std::min_element(inputData, inputData + numElements)) << ", "; - - std::cout << "\"max\": " - << boost::numeric_cast<float>(*std::max_element(inputData, inputData + numElements)) << ", "; - - std::cout << "\"data\": "; - - for (unsigned int i = 0; i < numElements; i++) - { - for (unsigned int j = 0; j < numDims; j++) - { - if (i % strides[j] == 0) - { - std::cout << "[" ; - } - } - - std::cout << boost::numeric_cast<float>(inputData[i]); - - for (unsigned int j = 0; j < numDims; j++) - { - if ((i+1) % strides[j] == 0) - { - std::cout << "]" ; - } - } - - if (i != numElements - 1) - { - std::cout << ", "; - } - } - - std::cout << " }" << std::endl; -} - -template void Debug<Half>(const TensorInfo& inputInfo, - const Half* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex); - -template void Debug<float>(const TensorInfo& inputInfo, - const float* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex); - -template void Debug<uint8_t>(const TensorInfo& inputInfo, - const uint8_t* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex); - -template void Debug<int8_t>(const TensorInfo& inputInfo, - const int8_t* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex); - -template void Debug<int16_t>(const TensorInfo& inputInfo, - const int16_t* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex); - -template void Debug<int32_t>(const TensorInfo& inputInfo, - const int32_t* inputData, - LayerGuid guid, - const std::string& layerName, - unsigned int slotIndex); - -} // namespace armnn |