Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #include "Debug.hpp" |
| 6 | |
| 7 | #include <boost/numeric/conversion/cast.hpp> |
| 8 | |
| 9 | #include <cstring> |
| 10 | #include <algorithm> |
| 11 | #include <iostream> |
| 12 | |
| 13 | namespace armnn |
| 14 | { |
| 15 | |
| 16 | template <typename T> |
| 17 | void Debug(const TensorInfo& inputInfo, |
| 18 | const TensorInfo& outputInfo, |
| 19 | const DebugDescriptor& descriptor, |
| 20 | const T* inputData, |
| 21 | T* outputData) |
| 22 | { |
| 23 | const unsigned int numDims = inputInfo.GetNumDimensions(); |
| 24 | const unsigned int numElements = inputInfo.GetNumElements(); |
| 25 | const TensorShape& inputShape = inputInfo.GetShape(); |
| 26 | |
| 27 | unsigned int strides[numDims]; |
| 28 | strides[numDims - 1] = inputShape[numDims - 1]; |
| 29 | |
| 30 | for (unsigned int i = 2; i <= numDims; i++) |
| 31 | { |
| 32 | strides[numDims - i] = strides[numDims - i + 1] * inputShape[numDims - i]; |
| 33 | } |
| 34 | |
| 35 | std::cout << "{ "; |
| 36 | std::cout << "\"layer\": \"" << descriptor.m_LayerName << "\", "; |
| 37 | std::cout << "\"outputSlot\": " << descriptor.m_SlotIndex << ", "; |
| 38 | std::cout << "\"shape\": "; |
| 39 | |
| 40 | std::cout << "["; |
| 41 | for (unsigned int i = 0; i < numDims; i++) |
| 42 | { |
| 43 | std::cout << inputShape[i]; |
| 44 | if (i != numDims - 1) |
| 45 | { |
| 46 | std::cout << ", "; |
| 47 | } |
| 48 | } |
| 49 | std::cout << "], "; |
| 50 | |
| 51 | std::cout << "\"min\": " |
| 52 | << boost::numeric_cast<float>(*std::min_element(inputData, inputData + numElements)) << ", "; |
| 53 | |
| 54 | std::cout << "\"max\": " |
| 55 | << boost::numeric_cast<float>(*std::max_element(inputData, inputData + numElements)) << ", "; |
| 56 | |
| 57 | std::cout << "\"data\": "; |
| 58 | |
| 59 | for (unsigned int i = 0; i < numElements; i++) |
| 60 | { |
| 61 | for (unsigned int j = 0; j < numDims; j++) |
| 62 | { |
| 63 | if (i % strides[j] == 0) |
| 64 | { |
| 65 | std::cout << "[" ; |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | std::cout << boost::numeric_cast<float>(inputData[i]); |
| 70 | |
| 71 | for (unsigned int j = 0; j < numDims; j++) |
| 72 | { |
| 73 | if ((i+1) % strides[j] == 0) |
| 74 | { |
| 75 | std::cout << "]" ; |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | if (i != numElements - 1) |
| 80 | { |
| 81 | std::cout << ", "; |
| 82 | } |
| 83 | } |
| 84 | |
| 85 | std::cout << " }" << std::endl; |
| 86 | |
| 87 | std::memcpy(outputData, inputData, inputInfo.GetNumElements()*sizeof(T)); |
| 88 | } |
| 89 | |
| 90 | template void Debug<float>(const TensorInfo& inputInfo, |
| 91 | const TensorInfo& outputInfo, |
| 92 | const DebugDescriptor& descriptor, |
| 93 | const float* inputData, |
| 94 | float* outputData); |
| 95 | |
| 96 | template void Debug<uint8_t>(const TensorInfo& inputInfo, |
| 97 | const TensorInfo& outputInfo, |
| 98 | const DebugDescriptor& descriptor, |
| 99 | const uint8_t* inputData, |
| 100 | uint8_t* outputData); |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 101 | } // namespace armnn |