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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-14 12:10:28 +0000 |
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committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-28 11:41:55 +0100 |
commit | ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9 (patch) | |
tree | a5b8e1ad68a2437f007338f0b6195ca5ed2bddc3 /delegate/include/DelegateOptions.hpp | |
parent | 9cb3466b677a1048b8abb24661e92c4c83fdda04 (diff) | |
download | armnn-ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9.tar.gz |
IVGCVSW-7555 Restructure Delegate
* New folders created:
* common is for common code where TfLite API is not used
* classic is for existing delegate implementations
* opaque is for new opaque delegate implementation,
* tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use.
* Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so
* Opaque structure is introduced but no API is added yet.
* CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added
* Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE
* Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed
Diffstat (limited to 'delegate/include/DelegateOptions.hpp')
-rw-r--r-- | delegate/include/DelegateOptions.hpp | 302 |
1 files changed, 3 insertions, 299 deletions
diff --git a/delegate/include/DelegateOptions.hpp b/delegate/include/DelegateOptions.hpp index a3c1edf82f..1c3ffb62ea 100644 --- a/delegate/include/DelegateOptions.hpp +++ b/delegate/include/DelegateOptions.hpp @@ -3,302 +3,6 @@ // SPDX-License-Identifier: MIT // -#pragma once - -#include <armnn/ArmNN.hpp> -#include <armnn/Optional.hpp> - -#include <string> -#include <vector> - -namespace armnnDelegate -{ - -class DelegateOptions -{ -public: - DelegateOptions(armnn::Compute computeDevice, - const std::vector<armnn::BackendOptions>& backendOptions = {}, - armnn::Optional<armnn::LogSeverity> logSeverityLevel = armnn::EmptyOptional()); - - DelegateOptions(const std::vector<armnn::BackendId>& backends, - const std::vector<armnn::BackendOptions>& backendOptions = {}, - armnn::Optional<armnn::LogSeverity> logSeverityLevel = armnn::EmptyOptional()); - - DelegateOptions(armnn::Compute computeDevice, - const armnn::OptimizerOptions& optimizerOptions, - const armnn::Optional<armnn::LogSeverity>& logSeverityLevel = armnn::EmptyOptional(), - const armnn::Optional<armnn::DebugCallbackFunction>& func = armnn::EmptyOptional()); - - DelegateOptions(const std::vector<armnn::BackendId>& backends, - const armnn::OptimizerOptions& optimizerOptions, - const armnn::Optional<armnn::LogSeverity>& logSeverityLevel = armnn::EmptyOptional(), - const armnn::Optional<armnn::DebugCallbackFunction>& func = armnn::EmptyOptional()); - - - /** - * This constructor processes delegate options in form of command line arguments. - * It works in conjunction with the TfLite external delegate plugin. - * - * Available options: - * - * Option key: "backends" \n - * Possible values: ["EthosNPU"/"GpuAcc"/"CpuAcc"/"CpuRef"] \n - * Descriptions: A comma separated list without whitespaces of - * backends which should be used for execution. Falls - * back to next backend in list if previous doesn't - * provide support for operation. e.g. "GpuAcc,CpuAcc" - * - * Option key: "dynamic-backends-path" \n - * Possible values: [filenameString] \n - * Descriptions: This is the directory that will be searched for any dynamic backends. - * - * Option key: "logging-severity" \n - * Possible values: ["trace"/"debug"/"info"/"warning"/"error"/"fatal"] \n - * Description: Sets the logging severity level for ArmNN. Logging - * is turned off if this option is not provided. - * - * Option key: "gpu-tuning-level" \n - * Possible values: ["0"/"1"/"2"/"3"] \n - * Description: 0=UseOnly(default), 1=RapidTuning, 2=NormalTuning, - * 3=ExhaustiveTuning. Requires option gpu-tuning-file. - * 1,2 and 3 will create a tuning-file, 0 will apply the - * tunings from an existing file - * - * Option key: "gpu-mlgo-tuning-file" \n - * Possible values: [filenameString] \n - * Description: File name for the MLGO tuning file - * - * Option key: "gpu-tuning-file" \n - * Possible values: [filenameString] \n - * Description: File name for the tuning file. - * - * Option key: "gpu-enable-profiling" \n - * Possible values: ["true"/"false"] \n - * Description: Enables GPU profiling - * - * Option key: "gpu-kernel-profiling-enabled" \n - * Possible values: ["true"/"false"] \n - * Description: Enables GPU kernel profiling - * - * Option key: "save-cached-network" \n - * Possible values: ["true"/"false"] \n - * Description: Enables saving of the cached network to a file, - * specified with the cached-network-filepath option - * - * Option key: "cached-network-filepath" \n - * Possible values: [filenameString] \n - * Description: If non-empty, the given file will be used to load/save the cached network. - * If save-cached-network is given then the cached network will be saved to the given file. - * To save the cached network a file must already exist. - * If save-cached-network is not given then the cached network will be loaded from the given file. - * This will remove initial compilation time of kernels and speed up the first execution. - * - * Option key: "enable-fast-math" \n - * Possible values: ["true"/"false"] \n - * Description: Enables fast_math options in backends that support it - * - * Option key: "number-of-threads" \n - * Possible values: ["1"-"64"] \n - * Description: Assign the number of threads used by the CpuAcc backend. - * Default is set to 0 (Backend will decide number of threads to use). - * - * Option key: "reduce-fp32-to-fp16" \n - * Possible values: ["true"/"false"] \n - * Description: Reduce Fp32 data to Fp16 for faster processing - * - * Option key: "reduce-fp32-to-bf16" \n - * Possible values: ["true"/"false"] \n - * Description: This option is currently ignored. Please enable Fast Math in the CpuAcc or GpuAcc backends. - * - * Option key: "debug-data" \n - * Possible values: ["true"/"false"] \n - * Description: Add debug data for easier troubleshooting - * - * Option key: "memory-import" \n - * Possible values: ["true"/"false"] \n - * Description: Enable memory import - * - * Option key: "enable-internal-profiling" \n - * Possible values: ["true"/"false"] \n - * Description: Enable the internal profiling feature. - * - * Option key: "internal-profiling-detail" \n - * Possible values: [1/2] \n - * Description: Set the detail on the internal profiling. 1 = DetailsWithEvents, 2 = DetailsOnly. - * - * Option key: "enable-external-profiling" \n - * Possible values: ["true"/"false"] \n - * Description: Enable the external profiling feature. - * - * Option key: "timeline-profiling" \n - * Possible values: ["true"/"false"] \n - * Description: Indicates whether external timeline profiling is enabled or not. - * - * Option key: "outgoing-capture-file" \n - * Possible values: [filenameString] \n - * Description: Path to a file in which outgoing timeline profiling messages will be stored. - * - * Option key: "incoming-capture-file" \n - * Possible values: [filenameString] \n - * Description: Path to a file in which incoming timeline profiling messages will be stored. - * - * Option key: "file-only-external-profiling" \n - * Possible values: ["true"/"false"] \n - * Description: Enable profiling output to file only. - * - * Option key: "counter-capture-period" \n - * Possible values: Integer, Default is 10000u - * Description: Value in microseconds of the profiling capture period. \n - * - * Option key: "profiling-file-format" \n - * Possible values: String of ["binary"] \n - * Description: The format of the file used for outputting profiling data. Currently on "binary" is supported. - * - * Option key: "serialize-to-dot" \n - * Possible values: [filenameString] \n - * Description: Serialize the optimized network to the file specified in "dot" format. - * - * Option key: "infer-output-shape" \n - * Possible values: ["true"/"false"] \n - * Description: Infers output tensor shape from input tensor shape and validate where applicable. - * - * Option key: "allow-expanded-dims" \n - * Possible values: ["true"/"false"] \n - * Description: If true will disregard dimensions with a size of 1 when validating tensor shapes but tensor - * sizes must still match. \n - * This is an Experimental parameter that is incompatible with "infer-output-shape". \n - * This parameter may be removed in a later update. - * - * Option key: "disable-tflite-runtime-fallback" \n - * Possible values: ["true"/"false"] \n - * Description: Disable TfLite Runtime fallback in the Arm NN TfLite delegate. - * An exception will be thrown if unsupported operators are encountered. - * This option is only for testing purposes. - * - * @param[in] option_keys Delegate option names - * @param[in] options_values Delegate option values - * @param[in] num_options Number of delegate options - * @param[in,out] report_error Error callback function - * - */ - DelegateOptions(char const* const* options_keys, - char const* const* options_values, - size_t num_options, - void (*report_error)(const char*)); - - const std::vector<armnn::BackendId>& GetBackends() const { return m_Backends; } - - void SetBackends(const std::vector<armnn::BackendId>& backends) { m_Backends = backends; } - - void SetDynamicBackendsPath(const std::string& dynamicBackendsPath) - { - m_RuntimeOptions.m_DynamicBackendsPath = dynamicBackendsPath; - } - const std::string& GetDynamicBackendsPath() const - { - return m_RuntimeOptions.m_DynamicBackendsPath; - } - - void SetGpuProfilingState(bool gpuProfilingState) - { - m_RuntimeOptions.m_EnableGpuProfiling = gpuProfilingState; - } - bool GetGpuProfilingState() - { - return m_RuntimeOptions.m_EnableGpuProfiling; - } - - const std::vector<armnn::BackendOptions>& GetBackendOptions() const - { - return m_RuntimeOptions.m_BackendOptions; - } - - /// Appends a backend option to the list of backend options - void AddBackendOption(const armnn::BackendOptions& option) - { - m_RuntimeOptions.m_BackendOptions.push_back(option); - } - - /// Sets the severity level for logging within ArmNN that will be used on creation of the delegate - void SetLoggingSeverity(const armnn::LogSeverity& level) { m_LoggingSeverity = level; } - void SetLoggingSeverity(const std::string& level) { m_LoggingSeverity = armnn::StringToLogLevel(level); } - - /// Returns the severity level for logging within ArmNN - armnn::LogSeverity GetLoggingSeverity() { return m_LoggingSeverity.value(); } - - bool IsLoggingEnabled() { return m_LoggingSeverity.has_value(); } - - const armnn::OptimizerOptions& GetOptimizerOptions() const { return m_OptimizerOptions; } - - void SetOptimizerOptions(const armnn::OptimizerOptions& optimizerOptions) { m_OptimizerOptions = optimizerOptions; } - - const armnn::Optional<armnn::DebugCallbackFunction>& GetDebugCallbackFunction() const - { return m_DebugCallbackFunc; } - - void SetInternalProfilingParams(bool internalProfilingState, - const armnn::ProfilingDetailsMethod& internalProfilingDetail) - { m_InternalProfilingEnabled = internalProfilingState; m_InternalProfilingDetail = internalProfilingDetail; } - - bool GetInternalProfilingState() const { return m_InternalProfilingEnabled; } - const armnn::ProfilingDetailsMethod& GetInternalProfilingDetail() const { return m_InternalProfilingDetail; } - - void SetSerializeToDot(const std::string& serializeToDotFile) { m_SerializeToDot = serializeToDotFile; } - const std::string& GetSerializeToDot() const { return m_SerializeToDot; } - - /// @Note: This might overwrite options that were set with other setter functions of DelegateOptions - void SetRuntimeOptions(const armnn::IRuntime::CreationOptions& runtimeOptions) - { - m_RuntimeOptions = runtimeOptions; - } - - const armnn::IRuntime::CreationOptions& GetRuntimeOptions() - { - return m_RuntimeOptions; - } - - void DisableTfLiteRuntimeFallback(bool fallbackState) - { - m_DisableTfLiteRuntimeFallback = fallbackState; - } - bool TfLiteRuntimeFallbackDisabled() - { - return m_DisableTfLiteRuntimeFallback; - } - -private: - /// Which backend to run Delegate on. - /// Examples of possible values are: CpuRef, CpuAcc, GpuAcc. - /// CpuRef as default. - std::vector<armnn::BackendId> m_Backends = { armnn::Compute::CpuRef }; - - /// Creation options for the ArmNN runtime - /// Contains options for global settings that are valid for the whole lifetime of ArmNN - /// i.e. BackendOptions, DynamicBackendPath, ExternalProfilingOptions and more - armnn::IRuntime::CreationOptions m_RuntimeOptions; - - /// Options for the optimization step for the network - armnn::OptimizerOptions m_OptimizerOptions; - - /// Internal profiling options. Written to INetworkProperties during model load. - /// Indicates whether internal profiling is enabled or not. - bool m_InternalProfilingEnabled = false; - /// Sets the level of detail output by the profiling. Options are DetailsWithEvents = 1 and DetailsOnly = 2 - armnn::ProfilingDetailsMethod m_InternalProfilingDetail = armnn::ProfilingDetailsMethod::DetailsWithEvents; - - /// Severity level for logging within ArmNN that will be used on creation of the delegate - armnn::Optional<armnn::LogSeverity> m_LoggingSeverity; - - /// A callback function to debug layers performing custom computations on intermediate tensors. - /// If a function is not registered, and debug is enabled in OptimizerOptions, - /// debug will print information of the intermediate tensors. - armnn::Optional<armnn::DebugCallbackFunction> m_DebugCallbackFunc; - - /// If not empty then the optimized model will be serialized to a file with this file name in "dot" format. - std::string m_SerializeToDot = ""; - - /// Option to disable TfLite Runtime fallback for unsupported operators. - bool m_DisableTfLiteRuntimeFallback = false; -}; - -} // namespace armnnDelegate +#include <armnn/delegate/common/include/DelegateOptions.hpp> +#pragma message("armnn/delegate/include/DelegateOptions.hpp has been deprecated, it is due for removal in"\ + " 24.02 release. Please use public interface ")
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