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Diffstat (limited to 'inference-engine/samples/speech_sample/speech_sample.hpp')
| -rw-r--r-- | inference-engine/samples/speech_sample/speech_sample.hpp | 163 |
1 files changed, 163 insertions, 0 deletions
diff --git a/inference-engine/samples/speech_sample/speech_sample.hpp b/inference-engine/samples/speech_sample/speech_sample.hpp new file mode 100644 index 000000000..37cb88f76 --- /dev/null +++ b/inference-engine/samples/speech_sample/speech_sample.hpp @@ -0,0 +1,163 @@ +// Copyright (C) 2018 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 +// + +#pragma once + +#include <string> +#include <vector> +#include <gflags/gflags.h> +#include <iostream> + +#ifdef _WIN32 +#include <os/windows/w_dirent.h> +#else +#include <dirent.h> +#endif + +#define DEFAULT_PATH_P "./lib" + +/// @brief message for help argument +static const char help_message[] = "Print a usage message."; + +/// @brief message for images argument +static const char input_message[] = "Required. Path to an .ark file."; + +/// @brief message for plugin_path argument +static const char plugin_path_message[] = "Path to a plugin folder."; + +/// @brief message for model argument +static const char model_message[] = "Required. Path to an .xml file with a trained model (required if -rg is missing)."; + +/// @brief message for plugin argument +static const char plugin_message[] = "Plugin name. For example MKLDNNPlugin. If this parameter is pointed, " \ + "the sample will look for this plugin only"; + +/// @brief message for assigning cnn calculation to device +static const char target_device_message[] = "Specify the target device to infer on; CPU, GPU, GNA_AUTO, GNA_HW, GNA_SW, GNA_SW_EXACT is acceptable. " \ + "Sample will look for a suitable plugin for device specified"; +/// @brief message for performance counters +static const char performance_counter_message[] = "Enables per-layer performance report"; + +/// @brief message for user library argument +static const char custom_cpu_library_message[] = "Required for MKLDNN (CPU)-targeted custom layers." \ +"Absolute path to a shared library with the kernels impl."; + +/// @brief message for score output argument +static const char output_message[] = "Output file name (default name is scores.ark)."; + +/// @brief message for reference score file argument +static const char reference_score_message[] = "Read reference score .ark file and compare scores."; + +/// @brief message for read GNA model argument +static const char read_gna_model_message[] = "Read GNA model from file using path/filename provided (required if -m is missing)."; + +/// @brief message for write GNA model argument +static const char write_gna_model_message[] = "Write GNA model to file using path/filename provided."; + +/// @brief message for write GNA embedded model argument +static const char write_embedded_model_message[] = "Write GNA embedded model to file using path/filename provided."; + +/// @brief message for quantization argument +static const char quantization_message[] = "Input quantization mode: static (default), dynamic, or user (use with -sf)."; + +/// @brief message for quantization bits argument +static const char quantization_bits_message[] = "Weight bits for quantization: 8 or 16 (default)"; + +/// @brief message for scale factor argument +static const char scale_factor_message[] = "Optional user-specified input scale factor for quantization (use with -q user)."; + +/// @brief message for batch size argument +static const char batch_size_message[] = "Batch size 1-8 (default 1)"; + +/// @brief message for #threads for CPU inference +static const char infer_num_threads_message[] = "Optional. Number of threads to use for concurrent async" \ +" inference requests on the GNA."; + +/// \brief Define flag for showing help message <br> +DEFINE_bool(h, false, help_message); + +/// \brief Define parameter for set image file <br> +/// It is a required parameter +DEFINE_string(i, "", input_message); + +/// \brief Define parameter for set model file <br> +/// It is a required parameter +DEFINE_string(m, "", model_message); + +/// \brief Define parameter for set plugin name <br> +/// It is a required parameter +DEFINE_string(p, "", plugin_message); + +/// \brief Define parameter for set path to plugins <br> +/// Default is ./lib +DEFINE_string(pp, DEFAULT_PATH_P, plugin_path_message); + +/// \brief device the target device to infer on <br> +DEFINE_string(d, "GNA_AUTO", target_device_message); + +/// \brief Enable per-layer performance report +DEFINE_bool(pc, false, performance_counter_message); + +/// @brief Absolute path to CPU library with user layers <br> +/// It is a optional parameter +DEFINE_string(l, "", custom_cpu_library_message); + +/// @brief Write model to file (model.bin) +DEFINE_string(o, "", output_message); + +/// @brief Read reference score file +DEFINE_string(r, "", reference_score_message); + +/// @brief Read GNA model from file (model.bin) +DEFINE_string(rg, "", read_gna_model_message); + +/// @brief Write GNA model to file (model.bin) +DEFINE_string(wg, "", write_gna_model_message); + +/// @brief Write GNA embedded model to file (model.bin) +DEFINE_string(we, "", write_embedded_model_message); + +/// @brief Input quantization mode (default static) +DEFINE_string(q, "static", quantization_message); + +/// @brief Input quantization bits (default 16) +DEFINE_int32(qb, 16, quantization_bits_message); + +/// @brief Scale factor for quantization (default 1.0) +DEFINE_double(sf, 1.0, scale_factor_message); + +/// @brief Batch size (default 1) +DEFINE_int32(bs, 1, batch_size_message); + +/// @brief Number of threads to use for inference on the CPU (also affects Hetero cases) +DEFINE_int32(nthreads, 1, infer_num_threads_message); + +/** + * \brief This function show a help message + */ +static void showUsage() { + std::cout << std::endl; + std::cout << "speech_sample [OPTION]" << std::endl; + std::cout << "Options:" << std::endl; + std::cout << std::endl; + std::cout << " -h " << help_message << std::endl; + std::cout << " -i \"<path>\" " << input_message << std::endl; + std::cout << " -m \"<path>\" " << model_message << std::endl; + std::cout << " -o \"<path>\" " << output_message << std::endl; + std::cout << " -l \"<absolute_path>\" " << custom_cpu_library_message << std::endl; + std::cout << " -d \"<device>\" " << target_device_message << std::endl; + std::cout << " -p " << plugin_message << std::endl; + std::cout << " -pp " << plugin_path_message << std::endl; + std::cout << " -pc " << performance_counter_message << std::endl; + std::cout << " -q \"<mode>\" " << quantization_message << std::endl; + std::cout << " -qb \"<integer>\" " << quantization_bits_message << std::endl; + std::cout << " -sf \"<double>\" " << scale_factor_message << std::endl; + std::cout << " -bs \"<integer>\" " << batch_size_message << std::endl; + std::cout << " -r \"<path>\" " << reference_score_message << std::endl; + std::cout << " -rg \"<path>\" " << read_gna_model_message << std::endl; + std::cout << " -wg \"<path>\" " << write_gna_model_message << std::endl; + std::cout << " -we \"<path>\" " << write_embedded_model_message << std::endl; + std::cout << " -nthreads \"<integer>\" " << infer_num_threads_message << std::endl; +} + |