Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <armnn/TypesUtils.hpp> |
| 9 | |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 10 | #include <boost/assert.hpp> |
| 11 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 12 | namespace armnnUtils |
| 13 | { |
| 14 | armnn::TensorShape GetTensorShape(unsigned int numberOfBatches, |
| 15 | unsigned int numberOfChannels, |
| 16 | unsigned int height, |
| 17 | unsigned int width, |
| 18 | const armnn::DataLayout dataLayout); |
| 19 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 20 | armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches, |
| 21 | unsigned int numberOfChannels, |
| 22 | unsigned int height, |
| 23 | unsigned int width, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 24 | const armnn::DataLayout dataLayout, |
| 25 | const armnn::DataType dataType); |
| 26 | |
Jim Flynn | f92dfce | 2019-05-02 11:33:25 +0100 | [diff] [blame] | 27 | std::pair<float, float> FindMinMax(armnn::ITensorHandle* tensorHandle); |
| 28 | |
Narumol Prangnawarat | 0280785 | 2019-09-11 16:43:09 +0100 | [diff] [blame] | 29 | armnn::TensorShape ExpandDims(const armnn::TensorShape& tensorShape, int axis); |
| 30 | |
Narumol Prangnawarat | 4dc64a6 | 2019-09-16 17:00:22 +0100 | [diff] [blame] | 31 | unsigned int GetNumElementsBetween(const armnn::TensorShape& shape, |
| 32 | unsigned int firstAxisInclusive, |
| 33 | unsigned int lastAxisExclusive); |
| 34 | |
| 35 | unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis); |
| 36 | |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 37 | inline unsigned int GetNumElementsAfter(const armnn::TensorShape& shape, |
| 38 | unsigned int axis) |
| 39 | { |
| 40 | unsigned int numDim = shape.GetNumDimensions(); |
| 41 | BOOST_ASSERT(0 >= axis); |
| 42 | BOOST_ASSERT(axis < numDim - 1); |
| 43 | unsigned int count = 1; |
| 44 | for (unsigned int i = axis; i < numDim; i++) |
| 45 | { |
| 46 | count *= shape[i]; |
| 47 | } |
| 48 | return count; |
| 49 | } |
| 50 | |
| 51 | inline std::pair<unsigned int, std::vector<float>> GetPerAxisParams(const armnn::TensorInfo& info) |
| 52 | { |
| 53 | const std::vector<float>& scales = info.GetQuantizationScales(); |
| 54 | armnn::Optional<unsigned int> quantizationDim = info.GetQuantizationDim(); |
| 55 | if (scales.size() < 1 || !quantizationDim.has_value()) |
| 56 | { |
| 57 | throw armnn::InvalidArgumentException( |
| 58 | "We currently support only per-axis symmetric quantization for QuantizedSymm8."); |
| 59 | } |
| 60 | unsigned int axisFactor = GetNumElementsAfter(info.GetShape(), quantizationDim.value()); |
| 61 | |
| 62 | return {axisFactor, scales}; |
| 63 | } |
| 64 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 65 | } // namespace armnnUtils |