diff options
Diffstat (limited to 'utils/GraphUtils.h')
| -rw-r--r-- | utils/GraphUtils.h | 60 |
1 files changed, 30 insertions, 30 deletions
diff --git a/utils/GraphUtils.h b/utils/GraphUtils.h index 9ab9e54ce0..acd924da28 100644 --- a/utils/GraphUtils.h +++ b/utils/GraphUtils.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 Arm Limited. + * Copyright (c) 2017-2020 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -459,7 +459,7 @@ private: */ inline std::unique_ptr<graph::ITensorAccessor> get_random_accessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed = 0) { - return arm_compute::support::cpp14::make_unique<RandomAccessor>(lower, upper, seed); + return std::make_unique<RandomAccessor>(lower, upper, seed); } /** Generates appropriate weights accessor according to the specified path @@ -478,11 +478,11 @@ inline std::unique_ptr<graph::ITensorAccessor> get_weights_accessor(const std::s { if(path.empty()) { - return arm_compute::support::cpp14::make_unique<DummyAccessor>(); + return std::make_unique<DummyAccessor>(); } else { - return arm_compute::support::cpp14::make_unique<NumPyBinLoader>(path + data_file, file_layout); + return std::make_unique<NumPyBinLoader>(path + data_file, file_layout); } } @@ -500,12 +500,12 @@ inline std::unique_ptr<graph::ITensorAccessor> get_input_accessor(const arm_comp { if(!graph_parameters.validation_file.empty()) { - return arm_compute::support::cpp14::make_unique<ValidationInputAccessor>(graph_parameters.validation_file, - graph_parameters.validation_path, - std::move(preprocessor), - bgr, - graph_parameters.validation_range_start, - graph_parameters.validation_range_end); + return std::make_unique<ValidationInputAccessor>(graph_parameters.validation_file, + graph_parameters.validation_path, + std::move(preprocessor), + bgr, + graph_parameters.validation_range_start, + graph_parameters.validation_range_end); } else { @@ -513,17 +513,17 @@ inline std::unique_ptr<graph::ITensorAccessor> get_input_accessor(const arm_comp const std::string &image_file_lower = lower_string(image_file); if(arm_compute::utility::endswith(image_file_lower, ".npy")) { - return arm_compute::support::cpp14::make_unique<NumPyBinLoader>(image_file, graph_parameters.data_layout); + return std::make_unique<NumPyBinLoader>(image_file, graph_parameters.data_layout); } else if(arm_compute::utility::endswith(image_file_lower, ".jpeg") || arm_compute::utility::endswith(image_file_lower, ".jpg") || arm_compute::utility::endswith(image_file_lower, ".ppm")) { - return arm_compute::support::cpp14::make_unique<ImageAccessor>(image_file, bgr, std::move(preprocessor)); + return std::make_unique<ImageAccessor>(image_file, bgr, std::move(preprocessor)); } else { - return arm_compute::support::cpp14::make_unique<DummyAccessor>(); + return std::make_unique<DummyAccessor>(); } } } @@ -548,18 +548,18 @@ inline std::unique_ptr<graph::ITensorAccessor> get_output_accessor(const arm_com ARM_COMPUTE_UNUSED(is_validation); if(!graph_parameters.validation_file.empty()) { - return arm_compute::support::cpp14::make_unique<ValidationOutputAccessor>(graph_parameters.validation_file, - output_stream, - graph_parameters.validation_range_start, - graph_parameters.validation_range_end); + return std::make_unique<ValidationOutputAccessor>(graph_parameters.validation_file, + output_stream, + graph_parameters.validation_range_start, + graph_parameters.validation_range_end); } else if(graph_parameters.labels.empty()) { - return arm_compute::support::cpp14::make_unique<DummyAccessor>(0); + return std::make_unique<DummyAccessor>(0); } else { - return arm_compute::support::cpp14::make_unique<TopNPredictionsAccessor>(graph_parameters.labels, top_n, output_stream); + return std::make_unique<TopNPredictionsAccessor>(graph_parameters.labels, top_n, output_stream); } } /** Generates appropriate output accessor according to the specified graph parameters @@ -582,18 +582,18 @@ inline std::unique_ptr<graph::ITensorAccessor> get_detection_output_accessor(con ARM_COMPUTE_UNUSED(is_validation); if(!graph_parameters.validation_file.empty()) { - return arm_compute::support::cpp14::make_unique<ValidationOutputAccessor>(graph_parameters.validation_file, - output_stream, - graph_parameters.validation_range_start, - graph_parameters.validation_range_end); + return std::make_unique<ValidationOutputAccessor>(graph_parameters.validation_file, + output_stream, + graph_parameters.validation_range_start, + graph_parameters.validation_range_end); } else if(graph_parameters.labels.empty()) { - return arm_compute::support::cpp14::make_unique<DummyAccessor>(0); + return std::make_unique<DummyAccessor>(0); } else { - return arm_compute::support::cpp14::make_unique<DetectionOutputAccessor>(graph_parameters.labels, tensor_shapes, output_stream); + return std::make_unique<DetectionOutputAccessor>(graph_parameters.labels, tensor_shapes, output_stream); } } /** Generates appropriate npy output accessor according to the specified npy_path @@ -613,11 +613,11 @@ inline std::unique_ptr<graph::ITensorAccessor> get_npy_output_accessor(const std { if(npy_path.empty()) { - return arm_compute::support::cpp14::make_unique<DummyAccessor>(0); + return std::make_unique<DummyAccessor>(0); } else { - return arm_compute::support::cpp14::make_unique<NumPyAccessor>(npy_path, shape, data_type, data_layout, output_stream); + return std::make_unique<NumPyAccessor>(npy_path, shape, data_type, data_layout, output_stream); } } @@ -634,11 +634,11 @@ inline std::unique_ptr<graph::ITensorAccessor> get_save_npy_output_accessor(cons { if(npy_name.empty()) { - return arm_compute::support::cpp14::make_unique<DummyAccessor>(0); + return std::make_unique<DummyAccessor>(0); } else { - return arm_compute::support::cpp14::make_unique<SaveNumPyAccessor>(npy_name, is_fortran); + return std::make_unique<SaveNumPyAccessor>(npy_name, is_fortran); } } @@ -650,7 +650,7 @@ inline std::unique_ptr<graph::ITensorAccessor> get_save_npy_output_accessor(cons */ inline std::unique_ptr<graph::ITensorAccessor> get_print_output_accessor(std::ostream &output_stream = std::cout) { - return arm_compute::support::cpp14::make_unique<PrintAccessor>(output_stream); + return std::make_unique<PrintAccessor>(output_stream); } /** Permutes a given tensor shape given the input and output data layout |