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author | Giorgio Arena <giorgio.arena@arm.com> | 2017-12-21 19:50:06 +0000 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:43:42 +0000 |
commit | a66eaa2a374a50b798159d95431c946fdda22a24 (patch) | |
tree | 8d321b8280d9151890d161da3779438c50e05fb1 /utils/GraphUtils.cpp | |
parent | 621965e3e9ef301d2668c60702f5fb79daea8d26 (diff) | |
download | ComputeLibrary-a66eaa2a374a50b798159d95431c946fdda22a24.tar.gz |
COMPMID-752 Creating an example for QASYMM8 MobileNet
Change-Id: Ic76b3b6adaff8c84ba4d2ca5283d9291c69344f0
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/114466
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'utils/GraphUtils.cpp')
-rw-r--r-- | utils/GraphUtils.cpp | 32 |
1 files changed, 24 insertions, 8 deletions
diff --git a/utils/GraphUtils.cpp b/utils/GraphUtils.cpp index b9be9d4085..6b3dffc1a4 100644 --- a/utils/GraphUtils.cpp +++ b/utils/GraphUtils.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -140,16 +140,14 @@ TopNPredictionsAccessor::TopNPredictionsAccessor(const std::string &labels_path, } } -bool TopNPredictionsAccessor::access_tensor(ITensor &tensor) +template <typename T> +void TopNPredictionsAccessor::access_predictions_tensor(ITensor &tensor) { - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&tensor, 1, DataType::F32); - ARM_COMPUTE_ERROR_ON(_labels.size() != tensor.info()->dimension(0)); - // Get the predicted class - std::vector<float> classes_prob; + std::vector<T> classes_prob; std::vector<size_t> index; - const auto output_net = reinterpret_cast<float *>(tensor.buffer() + tensor.info()->offset_first_element_in_bytes()); + const auto output_net = reinterpret_cast<T *>(tensor.buffer() + tensor.info()->offset_first_element_in_bytes()); const size_t num_classes = tensor.info()->dimension(0); classes_prob.resize(num_classes); @@ -170,10 +168,28 @@ bool TopNPredictionsAccessor::access_tensor(ITensor &tensor) for(size_t i = 0; i < _top_n; ++i) { _output_stream << std::fixed << std::setprecision(4) - << classes_prob[index.at(i)] + << +classes_prob[index.at(i)] << " - [id = " << index.at(i) << "]" << ", " << _labels[index.at(i)] << std::endl; } +} + +bool TopNPredictionsAccessor::access_tensor(ITensor &tensor) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&tensor, 1, DataType::F32, DataType::QASYMM8); + ARM_COMPUTE_ERROR_ON(_labels.size() != tensor.info()->dimension(0)); + + switch(tensor.info()->data_type()) + { + case DataType::QASYMM8: + access_predictions_tensor<uint8_t>(tensor); + break; + case DataType::F32: + access_predictions_tensor<float>(tensor); + break; + default: + ARM_COMPUTE_ERROR("NOT SUPPORTED!"); + } return false; } |