| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "TensorUtils.hpp" |
| |
| namespace armnnUtils |
| { |
| |
| armnn::TensorShape GetTensorShape(unsigned int numberOfBatches, |
| unsigned int numberOfChannels, |
| unsigned int height, |
| unsigned int width, |
| const armnn::DataLayout dataLayout) |
| { |
| switch (dataLayout) |
| { |
| case armnn::DataLayout::NCHW: |
| return armnn::TensorShape({numberOfBatches, numberOfChannels, height, width}); |
| case armnn::DataLayout::NHWC: |
| return armnn::TensorShape({numberOfBatches, height, width, numberOfChannels}); |
| default: |
| throw armnn::InvalidArgumentException("Unknown data layout [" |
| + std::to_string(static_cast<int>(dataLayout)) + |
| "]", CHECK_LOCATION()); |
| } |
| } |
| |
| armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches, |
| unsigned int numberOfChannels, |
| unsigned int height, |
| unsigned int width, |
| const armnn::DataLayout dataLayout, |
| const armnn::DataType dataType) |
| { |
| switch (dataLayout) |
| { |
| case armnn::DataLayout::NCHW: |
| return armnn::TensorInfo({numberOfBatches, numberOfChannels, height, width}, dataType); |
| case armnn::DataLayout::NHWC: |
| return armnn::TensorInfo({numberOfBatches, height, width, numberOfChannels}, dataType); |
| default: |
| throw armnn::InvalidArgumentException("Unknown data layout [" |
| + std::to_string(static_cast<int>(dataLayout)) + |
| "]", CHECK_LOCATION()); |
| } |
| } |
| |
| } |