openpilot v0.9.6 release

date: 2024-01-12T10:13:37
master commit: ba792d576a49a0899b88a753fa1c52956bedf9e6

third_party/snpe/include/DiagLog/IDiagLog.hpp

@@ -0,0 +1,84 @@
+//=============================================================================
+//
+//  Copyright (c) 2015, 2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#ifndef __IDIAGLOG_HPP_
+#define __IDIAGLOG_HPP_
+
+#include <string>
+
+#include "DiagLog/Options.hpp"
+#include "DlSystem/String.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl
+{
+namespace DiagLog
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/// @brief .
+///
+/// Interface for controlling logging for zdl components.
+
+class ZDL_EXPORT IDiagLog
+{
+public:
+
+   /// @brief .
+   ///
+   /// Sets the options after initialization occurs.
+   ///
+   /// @param[in] loggingOptions The options to set up diagnostic logging.
+   ///
+   /// @return False if the options could not be set. Ensure logging is not started.
+   virtual bool setOptions(const Options& loggingOptions) = 0;
+
+   /// @brief .
+   ///
+   /// Gets the curent options for the diag logger.
+   ///
+   /// @return Diag log options object.
+   virtual Options getOptions() = 0;
+
+   /// @brief .
+   ///
+   /// Allows for setting the log mask once diag logging has started
+   ///
+   /// @return True if the level was set successfully, false if a failure occurred.
+   virtual bool setDiagLogMask(const std::string& mask) = 0;
+
+   /// @brief .
+   ///
+   /// Allows for setting the log mask once diag logging has started
+   ///
+   /// @return True if the level was set successfully, false if a failure occurred.
+   virtual bool setDiagLogMask(const zdl::DlSystem::String& mask) = 0;
+
+   /// @brief .
+   ///
+   /// Enables logging for zdl components.
+   ///
+   /// Logging should be started prior to the instantiation of zdl components
+   /// to ensure all events are captured.
+   ///
+   /// @return False if diagnostic logging could not be started.
+   virtual bool start(void) = 0;
+
+   /// @brief Disables logging for zdl components.
+   virtual bool stop(void) = 0;
+
+   virtual ~IDiagLog() {};
+};
+
+} // DiagLog namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif

third_party/snpe/include/DiagLog/Options.hpp

@@ -0,0 +1,79 @@
+//=============================================================================
+//
+//  Copyright (c) 2015, 2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#ifndef __DIAGLOG_OPTIONS_HPP_
+#define __DIAGLOG_OPTIONS_HPP_
+
+#include <string>
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl
+{
+namespace DiagLog
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/// @brief .
+///
+/// Options for setting up diagnostic logging for zdl components.
+class ZDL_EXPORT Options
+{
+public:
+   Options() :
+      DiagLogMask(""),
+      LogFileDirectory("diaglogs"),
+      LogFileName("DiagLog"),
+      LogFileRotateCount(20),
+      LogFileReplace(true)
+   {
+      // Solves the empty string problem with multiple std libs
+      DiagLogMask.reserve(1);
+   }
+
+   /// @brief .
+   ///
+   /// Enables diag logging only on the specified area mask (DNN_RUNTIME=ON | OFF)
+   std::string DiagLogMask;
+
+   /// @brief .
+   ///
+   /// The path to the directory where log files will be written.
+   /// The path may be relative or absolute. Relative paths are interpreted
+   /// from the current working directory.
+   /// Default value is "diaglogs"
+   std::string LogFileDirectory;
+
+   /// @brief .
+   ///
+   //// The name used for log files. If this value is empty then BaseName will be
+   /// used as the default file name.
+   /// Default value is "DiagLog"
+   std::string LogFileName;
+
+   /// @brief .
+   ///
+   /// The maximum number of log files to create. If set to 0 no log rotation
+   /// will be used and the log file name specified will be used each time, overwriting
+   /// any existing log file that may exist.
+   /// Default value is 20
+   uint32_t LogFileRotateCount;
+
+   /// @brief
+   ///
+   /// If the log file already exists, control whether it will be replaced
+   /// (existing contents truncated), or appended.
+   /// Default value is true
+   bool LogFileReplace;
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+} // DiagLog namespace
+} // zdl namespace
+
+
+#endif

third_party/snpe/include/DlContainer/IDlContainer.hpp

@@ -0,0 +1,191 @@
+//=============================================================================
+//
+//  Copyright (c) 2015-2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef ZEROTH_IDNC_CONTAINER_HPP
+#define ZEROTH_IDNC_CONTAINER_HPP
+
+#include <memory>
+#include <stdint.h>
+#include <string>
+#include <vector>
+#include <set>
+
+#include "DlSystem/ZdlExportDefine.hpp"
+#include "DlSystem/String.hpp"
+
+namespace zdl {
+namespace DlContainer {
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+class IDlContainer;
+class dlc_error;
+
+/**
+ * The structure of a record in a DL container.
+ */
+struct ZDL_EXPORT DlcRecord
+{
+   /// Name of the record.
+   std::string name;
+   /// Byte blob holding the data for the record.
+   std::vector<uint8_t> data;
+
+   DlcRecord();
+   DlcRecord( DlcRecord&& other )
+      : name(std::move(other.name))
+      , data(std::move(other.data))
+   {}
+   DlcRecord(const std::string& new_name)
+      : name(new_name)
+      , data()
+   {
+      if(name.empty())
+      {
+         name.reserve(1);
+      }
+   }
+   DlcRecord(const DlcRecord&) = delete;
+};
+
+// The maximum length of any record name.
+extern const uint32_t RECORD_NAME_MAX_SIZE;
+// The maximum size of the record payload (bytes).
+extern const uint32_t RECORD_DATA_MAX_SIZE;
+// The maximum number of records in an archive at one time.
+extern const uint32_t ARCHIVE_MAX_RECORDS;
+
+/**
+ * Represents a container for a neural network model which can
+ * be used to load the model into the SNPE runtime.
+ */
+class ZDL_EXPORT IDlContainer
+{
+public:
+   /**
+    * Initializes a container from a container archive file.
+    *
+    * @param[in] filename Container archive file path.
+    *
+    * @return A pointer to the initialized container
+    */
+   static std::unique_ptr<IDlContainer>
+   open(const std::string &filename) noexcept;
+
+   /**
+    * Initializes a container from a container archive file.
+    *
+    * @param[in] filename Container archive file path.
+    *
+    * @return A pointer to the initialized container
+    */
+   static std::unique_ptr<IDlContainer>
+   open(const zdl::DlSystem::String &filename) noexcept;
+
+   /**
+    * Initializes a container from a byte buffer.
+    *
+    * @param[in] buffer Byte buffer holding the contents of an archive
+    *                   file.
+    *
+    * @return A pointer to the initialized container
+    */
+   static std::unique_ptr<IDlContainer>
+   open(const std::vector<uint8_t> &buffer) noexcept;
+
+   /**
+    * Initializes a container from a byte buffer.
+    *
+    * @param[in] buffer Byte buffer holding the contents of an archive
+    *                   file.
+    *
+    * @param[in] size Size of the byte buffer.
+    *
+    * @return A pointer to the initialized container
+    */
+   static std::unique_ptr<IDlContainer>
+   open(const uint8_t* buffer, const size_t size) noexcept;
+
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+   /**
+    * Get the record catalog for a container.
+    *
+    * @param[out] catalog Buffer that will hold the record names on
+    *                    return.
+    */
+   virtual void getCatalog(std::set<std::string> &catalog) const = 0;
+
+    /**
+     * Get the record catalog for a container.
+     *
+     * @param[out] catalog Buffer that will hold the record names on
+     *                    return.
+     */
+   virtual void getCatalog(std::set<zdl::DlSystem::String> &catalog) const = 0;
+
+   /**
+    * Get a record from a container by name.
+    *
+    * @param[in] name Name of the record to fetch.
+    * @param[out] record The passed in record will be populated with the
+    *                   record data on return. Note that the caller
+    *                   will own the data in the record and is
+    *                   responsible for freeing it if needed.
+    */
+   virtual void getRecord(const std::string &name, DlcRecord &record) const = 0;
+
+   /**
+    * Get a record from a container by name.
+    *
+    * @param[in] name Name of the record to fetch.
+    * @param[out] record The passed in record will be populated with the
+    *                   record data on return. Note that the caller
+    *                   will own the data in the record and is
+    *                   responsible for freeing it if needed.
+    */
+   virtual void getRecord(const zdl::DlSystem::String &name, DlcRecord &record) const = 0;
+
+   /**
+    * Save the container to an archive on disk. This function will save the
+    * container if the filename is different from the file that it was opened
+    * from, or if at least one record was modified since the container was
+    * opened.
+    *
+    * It will truncate any existing file at the target path.
+    *
+    * @param filename Container archive file path.
+    *
+    * @return indication of success/failure
+    */
+   virtual bool save(const std::string &filename) = 0;
+
+   /**
+    * Save the container to an archive on disk. This function will save the
+    * container if the filename is different from the file that it was opened
+    * from, or if at least one record was modified since the container was
+    * opened.
+    *
+    * It will truncate any existing file at the target path.
+    *
+    * @param filename Container archive file path.
+    *
+    * @return indication of success/failure
+    */
+   virtual bool save (const zdl::DlSystem::String &filename) = 0;
+
+   virtual ~IDlContainer() {}
+};
+
+} // ns DlContainer
+} // ns zdl
+
+
+#endif

third_party/snpe/include/DlSystem/DlEnums.hpp

@@ -0,0 +1,234 @@
+//==============================================================================
+//
+//  Copyright (c) 2014-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _DL_ENUMS_HPP_
+#define _DL_ENUMS_HPP_
+
+#include "DlSystem/ZdlExportDefine.hpp"
+
+
+namespace zdl {
+namespace DlSystem
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * Enumeration of supported target runtimes.
+ */
+enum class Runtime_t
+{
+   /// Run the processing on Snapdragon CPU.
+   /// Data: float 32bit
+   /// Math: float 32bit
+   CPU_FLOAT32  = 0,
+
+   /// Run the processing on the Adreno GPU.
+   /// Data: float 16bit
+   /// Math: float 32bit
+   GPU_FLOAT32_16_HYBRID = 1,
+
+   /// Run the processing on the Hexagon DSP.
+   /// Data: 8bit fixed point Tensorflow style format
+   /// Math: 8bit fixed point Tensorflow style format
+   DSP_FIXED8_TF = 2,
+
+   /// Run the processing on the Adreno GPU.
+   /// Data: float 16bit
+   /// Math: float 16bit
+   GPU_FLOAT16 = 3,
+
+   /// Run the processing on Snapdragon AIX+HVX.
+   /// Data: 8bit fixed point Tensorflow style format
+   /// Math: 8bit fixed point Tensorflow style format
+   AIP_FIXED8_TF = 5,
+   AIP_FIXED_TF = AIP_FIXED8_TF,
+
+   /// Default legacy enum to retain backward compatibility.
+   /// CPU = CPU_FLOAT32
+   CPU = CPU_FLOAT32,
+
+   /// Default legacy enum to retain backward compatibility.
+   /// GPU = GPU_FLOAT32_16_HYBRID
+   GPU = GPU_FLOAT32_16_HYBRID,
+
+   /// Default legacy enum to retain backward compatibility.
+   /// DSP = DSP_FIXED8_TF
+   DSP = DSP_FIXED8_TF,
+
+   /// Special value indicating the property is unset.
+   UNSET = -1
+};
+
+/**
+ * Enumeration of runtime available check options.
+ */
+enum class RuntimeCheckOption_t
+{
+   /// Perform standard runtime available check
+   DEFAULT = 0,
+   /// Perform standard runtime available check
+   NORMAL_CHECK = 0,
+   /// Perform basic runtime available check, may be runtime specific
+   BASIC_CHECK = 1,
+   /// Perform unsignedPD runtime available check
+   UNSIGNEDPD_CHECK = 2,
+};
+
+/**
+ * Enumeration of various performance profiles that can be requested.
+ */
+enum class PerformanceProfile_t
+{
+    /// Run in a standard mode.
+    /// This mode will be deprecated in the future and replaced with BALANCED.
+    DEFAULT = 0,
+    /// Run in a balanced mode.
+    BALANCED = 0,
+
+    /// Run in high performance mode
+    HIGH_PERFORMANCE = 1,
+
+    /// Run in a power sensitive mode, at the expense of performance.
+    POWER_SAVER = 2,
+
+    /// Use system settings.  SNPE makes no calls to any performance related APIs.
+    SYSTEM_SETTINGS = 3,
+
+    /// Run in sustained high performance mode
+    SUSTAINED_HIGH_PERFORMANCE = 4,
+
+    /// Run in burst mode
+    BURST = 5,
+
+    /// Run in lower clock than POWER_SAVER, at the expense of performance.
+    LOW_POWER_SAVER = 6,
+
+    /// Run in higher clock and provides better performance than POWER_SAVER.
+    HIGH_POWER_SAVER = 7,
+
+    /// Run in lower balanced mode
+    LOW_BALANCED = 8,
+};
+
+/**
+ * Enumeration of various profilngLevels that can be requested.
+ */
+enum class ProfilingLevel_t
+{
+    /// No profiling.
+    /// Collects no runtime stats in the DiagLog
+    OFF = 0,
+
+    /// Basic profiling
+    /// Collects some runtime stats in the DiagLog
+    BASIC = 1,
+
+    /// Detailed profiling
+    /// Collects more runtime stats in the DiagLog, including per-layer statistics
+    /// Performance may be impacted
+    DETAILED = 2,
+
+    /// Moderate profiling
+    /// Collects more runtime stats in the DiagLog, no per-layer statistics
+    MODERATE = 3
+};
+
+/**
+ * Enumeration of various execution priority hints.
+ */
+enum class ExecutionPriorityHint_t
+{
+    /// Normal priority
+    NORMAL = 0,
+
+    /// Higher than normal priority
+    HIGH = 1,
+
+    /// Lower priority
+    LOW = 2
+
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++*/
+
+/**
+ * Enumeration that lists the supported image encoding formats.
+ */
+enum class ImageEncoding_t
+{
+   /// For unknown image type. Also used as a default value for ImageEncoding_t.
+   UNKNOWN = 0,
+
+   /// The RGB format consists of 3 bytes per pixel: one byte for
+   /// Red, one for Green, and one for Blue. The byte ordering is
+   /// endian independent and is always in RGB byte order.
+   RGB = 1,
+
+   /// The ARGB32 format consists of 4 bytes per pixel: one byte for
+   /// Red, one for Green, one for Blue, and one for the alpha channel.
+   /// The alpha channel is ignored. The byte ordering depends on the
+   /// underlying CPU. For little endian CPUs, the byte order is BGRA.
+   /// For big endian CPUs, the byte order is ARGB.
+   ARGB32 = 2,
+
+   /// The RGBA format consists of 4 bytes per pixel: one byte for
+   /// Red, one for Green, one for Blue, and one for the alpha channel.
+   /// The alpha channel is ignored. The byte ordering is endian independent
+   /// and is always in RGBA byte order.
+   RGBA = 3,
+
+   /// The GRAYSCALE format is for 8-bit grayscale.
+   GRAYSCALE = 4,
+
+   /// NV21 is the Android version of YUV. The Chrominance is down
+   /// sampled and has a subsampling ratio of 4:2:0. Note that this
+   /// image format has 3 channels, but the U and V channels
+   /// are subsampled. For every four Y pixels there is one U and one V pixel. @newpage
+   NV21 = 5,
+
+   /// The BGR format consists of 3 bytes per pixel: one byte for
+   /// Red, one for Green and one for Blue. The byte ordering is
+   /// endian independent and is always BGR byte order.
+   BGR = 6
+};
+
+/**
+ * Enumeration that lists the supported LogLevels that can be set by users.
+ */
+enum class LogLevel_t
+{
+    /// Enumeration variable to be used by user to set logging level to FATAL.
+    LOG_FATAL = 0,
+
+    /// Enumeration variable to be used by user to set logging level to ERROR.
+    LOG_ERROR = 1,
+
+    /// Enumeration variable to be used by user to set logging level to WARN.
+    LOG_WARN = 2,
+
+    /// Enumeration variable to be used by user to set logging level to INFO.
+    LOG_INFO = 3,
+
+    /// Enumeration variable to be used by user to set logging level to VERBOSE.
+    LOG_VERBOSE = 4
+};
+
+typedef enum : int
+{
+   UNSPECIFIED = 0,
+   FLOATING_POINT_32 = 1,
+   FLOATING_POINT_16 = 2,
+   FIXED_POINT_8 =  3,
+   FIXED_POINT_16 = 4
+} IOBufferDataType_t;
+
+}} // namespaces end
+
+
+#endif

third_party/snpe/include/DlSystem/DlError.hpp

@@ -0,0 +1,259 @@
+//==============================================================================
+//
+//  Copyright (c) 2016-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _DL_ERROR_HPP_
+#define _DL_ERROR_HPP_
+
+#include <stdint.h>
+#include <limits> // numeric_limits
+
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl {
+namespace DlSystem {
+
+// clang and arm gcc different in how ZDL_EXPORT is used with enum class
+#if !defined (__clang__)
+enum class ErrorCode : uint32_t ZDL_EXPORT {
+#else
+enum class ZDL_EXPORT ErrorCode : uint32_t {
+#endif // ARM64V8A
+   NONE = 0,
+
+   // System config errors
+   SNPE_CONFIG_MISSING_PARAM                             = 100,
+   SNPE_CONFIG_INVALID_PARAM                             = 101,
+   SNPE_CONFIG_MISSING_FILE                              = 102,
+   SNPE_CONFIG_NNCONFIG_NOT_SET                          = 103,
+   SNPE_CONFIG_NNCONFIG_INVALID                          = 104,
+   SNPE_CONFIG_WRONG_INPUT_NAME                          = 105,
+   SNPE_CONFIG_INCORRECT_INPUT_DIMENSIONS                = 106,
+   SNPE_CONFIG_DIMENSIONS_MODIFICATION_NOT_SUPPORTED     = 107,
+   SNPE_CONFIG_BOTH_OUTPUT_LAYER_TENSOR_NAMES_SET        = 108,
+
+   SNPE_CONFIG_NNCONFIG_ONLY_TENSOR_SUPPORTED            = 120,
+   SNPE_CONFIG_NNCONFIG_ONLY_USER_BUFFER_SUPPORTED       = 121,
+
+   // DlSystem errors
+   SNPE_DLSYSTEM_MISSING_BUFFER                          = 200,
+   SNPE_DLSYSTEM_TENSOR_CAST_FAILED                      = 201,
+   SNPE_DLSYSTEM_FIXED_POINT_PARAM_INVALID               = 202,
+   SNPE_DLSYSTEM_SIZE_MISMATCH                           = 203,
+   SNPE_DLSYSTEM_NAME_NOT_FOUND                          = 204,
+   SNPE_DLSYSTEM_VALUE_MISMATCH                          = 205,
+   SNPE_DLSYSTEM_INSERT_FAILED                           = 206,
+   SNPE_DLSYSTEM_TENSOR_FILE_READ_FAILED                 = 207,
+   SNPE_DLSYSTEM_DIAGLOG_FAILURE                         = 208,
+   SNPE_DLSYSTEM_LAYER_NOT_SET                           = 209,
+   SNPE_DLSYSTEM_WRONG_NUMBER_INPUT_BUFFERS              = 210,
+   SNPE_DLSYSTEM_RUNTIME_TENSOR_SHAPE_MISMATCH           = 211,
+   SNPE_DLSYSTEM_TENSOR_MISSING                          = 212,
+   SNPE_DLSYSTEM_TENSOR_ITERATION_UNSUPPORTED            = 213,
+   SNPE_DLSYSTEM_BUFFER_MANAGER_MISSING                  = 214,
+   SNPE_DLSYSTEM_RUNTIME_BUFFER_SOURCE_UNSUPPORTED       = 215,
+   SNPE_DLSYSTEM_BUFFER_CAST_FAILED                      = 216,
+   SNPE_DLSYSTEM_WRONG_TRANSITION_TYPE                   = 217,
+   SNPE_DLSYSTEM_LAYER_ALREADY_REGISTERED                = 218,
+   SNPE_DLSYSTEM_TENSOR_DIM_INVALID                      = 219,
+
+   SNPE_DLSYSTEM_BUFFERENCODING_UNKNOWN                  = 240,
+   SNPE_DLSYSTEM_BUFFER_INVALID_PARAM                    = 241,
+
+   // DlContainer errors
+   SNPE_DLCONTAINER_MODEL_PARSING_FAILED                 = 300,
+   SNPE_DLCONTAINER_UNKNOWN_LAYER_CODE                   = 301,
+   SNPE_DLCONTAINER_MISSING_LAYER_PARAM                  = 302,
+   SNPE_DLCONTAINER_LAYER_PARAM_NOT_SUPPORTED            = 303,
+   SNPE_DLCONTAINER_LAYER_PARAM_INVALID                  = 304,
+   SNPE_DLCONTAINER_TENSOR_DATA_MISSING                  = 305,
+   SNPE_DLCONTAINER_MODEL_LOAD_FAILED                    = 306,
+   SNPE_DLCONTAINER_MISSING_RECORDS                      = 307,
+   SNPE_DLCONTAINER_INVALID_RECORD                       = 308,
+   SNPE_DLCONTAINER_WRITE_FAILURE                        = 309,
+   SNPE_DLCONTAINER_READ_FAILURE                         = 310,
+   SNPE_DLCONTAINER_BAD_CONTAINER                        = 311,
+   SNPE_DLCONTAINER_BAD_DNN_FORMAT_VERSION               = 312,
+   SNPE_DLCONTAINER_UNKNOWN_AXIS_ANNOTATION              = 313,
+   SNPE_DLCONTAINER_UNKNOWN_SHUFFLE_TYPE                 = 314,
+   SNPE_DLCONTAINER_TEMP_FILE_FAILURE                    = 315,
+
+   // Network errors
+   SNPE_NETWORK_EMPTY_NETWORK                            = 400,
+   SNPE_NETWORK_CREATION_FAILED                          = 401,
+   SNPE_NETWORK_PARTITION_FAILED                         = 402,
+   SNPE_NETWORK_NO_OUTPUT_DEFINED                        = 403,
+   SNPE_NETWORK_MISMATCH_BETWEEN_NAMES_AND_DIMS          = 404,
+   SNPE_NETWORK_MISSING_INPUT_NAMES                      = 405,
+   SNPE_NETWORK_MISSING_OUTPUT_NAMES                     = 406,
+   SNPE_NETWORK_EXECUTION_FAILED                         = 407,
+
+   // Host runtime errors
+   SNPE_HOST_RUNTIME_TARGET_UNAVAILABLE                  = 500,
+
+   // CPU runtime errors
+   SNPE_CPU_LAYER_NOT_SUPPORTED                          = 600,
+   SNPE_CPU_LAYER_PARAM_NOT_SUPPORTED                    = 601,
+   SNPE_CPU_LAYER_PARAM_INVALID                          = 602,
+   SNPE_CPU_LAYER_PARAM_COMBINATION_INVALID              = 603,
+   SNPE_CPU_BUFFER_NOT_FOUND                             = 604,
+   SNPE_CPU_NETWORK_NOT_SUPPORTED                        = 605,
+   SNPE_CPU_UDO_OPERATION_FAILED                         = 606,
+
+   // CPU fixed-point runtime errors
+   SNPE_CPU_FXP_LAYER_NOT_SUPPORTED                      = 700,
+   SNPE_CPU_FXP_LAYER_PARAM_NOT_SUPPORTED                = 701,
+   SNPE_CPU_FXP_LAYER_PARAM_INVALID                      = 702,
+
+   // GPU runtime errors
+   SNPE_GPU_LAYER_NOT_SUPPORTED                          = 800,
+   SNPE_GPU_LAYER_PARAM_NOT_SUPPORTED                    = 801,
+   SNPE_GPU_LAYER_PARAM_INVALID                          = 802,
+   SNPE_GPU_LAYER_PARAM_COMBINATION_INVALID              = 803,
+   SNPE_GPU_KERNEL_COMPILATION_FAILED                    = 804,
+   SNPE_GPU_CONTEXT_NOT_SET                              = 805,
+   SNPE_GPU_KERNEL_NOT_SET                               = 806,
+   SNPE_GPU_KERNEL_PARAM_INVALID                         = 807,
+   SNPE_GPU_OPENCL_CHECK_FAILED                          = 808,
+   SNPE_GPU_OPENCL_FUNCTION_ERROR                        = 809,
+   SNPE_GPU_BUFFER_NOT_FOUND                             = 810,
+   SNPE_GPU_TENSOR_DIM_INVALID                           = 811,
+   SNPE_GPU_MEMORY_FLAGS_INVALID                         = 812,
+   SNPE_GPU_UNEXPECTED_NUMBER_OF_IO                      = 813,
+   SNPE_GPU_LAYER_PROXY_ERROR                            = 814,
+   SNPE_GPU_BUFFER_IN_USE                                = 815,
+   SNPE_GPU_BUFFER_MODIFICATION_ERROR                    = 816,
+   SNPE_GPU_DATA_ARRANGEMENT_INVALID                     = 817,
+   SNPE_GPU_UDO_OPERATION_FAILED                         = 818,
+   // DSP runtime errors
+   SNPE_DSP_LAYER_NOT_SUPPORTED                          = 900,
+   SNPE_DSP_LAYER_PARAM_NOT_SUPPORTED                    = 901,
+   SNPE_DSP_LAYER_PARAM_INVALID                          = 902,
+   SNPE_DSP_LAYER_PARAM_COMBINATION_INVALID              = 903,
+   SNPE_DSP_STUB_NOT_PRESENT                             = 904,
+   SNPE_DSP_LAYER_NAME_TRUNCATED                         = 905,
+   SNPE_DSP_LAYER_INPUT_BUFFER_NAME_TRUNCATED            = 906,
+   SNPE_DSP_LAYER_OUTPUT_BUFFER_NAME_TRUNCATED           = 907,
+   SNPE_DSP_RUNTIME_COMMUNICATION_ERROR                  = 908,
+   SNPE_DSP_RUNTIME_INVALID_PARAM_ERROR                  = 909,
+   SNPE_DSP_RUNTIME_SYSTEM_ERROR                         = 910,
+   SNPE_DSP_RUNTIME_CRASHED_ERROR                        = 911,
+   SNPE_DSP_BUFFER_SIZE_ERROR                            = 912,
+   SNPE_DSP_UDO_EXECUTE_ERROR                            = 913,
+   SNPE_DSP_UDO_LIB_NOT_REGISTERED_ERROR                 = 914,
+   SNPE_DSP_UDO_INVALID_QUANTIZATION_TYPE_ERROR          = 915,
+   SNPE_DSP_RUNTIME_INVALID_RPC_DRIVER                   = 916,
+   SNPE_DSP_RUNTIME_RPC_PERMISSION_ERROR                 = 917,
+   SNPE_DSP_RUNTIME_DSP_FILE_OPEN_ERROR                  = 918,
+
+   // Model validataion errors
+   SNPE_MODEL_VALIDATION_LAYER_NOT_SUPPORTED             = 1000,
+   SNPE_MODEL_VALIDATION_LAYER_PARAM_NOT_SUPPORTED       = 1001,
+   SNPE_MODEL_VALIDATION_LAYER_PARAM_INVALID             = 1002,
+   SNPE_MODEL_VALIDATION_LAYER_PARAM_MISSING             = 1003,
+   SNPE_MODEL_VALIDATION_LAYER_PARAM_COMBINATION_INVALID = 1004,
+   SNPE_MODEL_VALIDATION_LAYER_ORDERING_INVALID          = 1005,
+   SNPE_MODEL_VALIDATION_INVALID_CONSTRAINT              = 1006,
+   SNPE_MODEL_VALIDATION_MISSING_BUFFER                  = 1007,
+   SNPE_MODEL_VALIDATION_BUFFER_REUSE_NOT_SUPPORTED      = 1008,
+   SNPE_MODEL_VALIDATION_LAYER_COULD_NOT_BE_ASSIGNED     = 1009,
+   SNPE_MODEL_VALIDATION_UDO_LAYER_FAILED                = 1010,
+
+   // UDL errors
+   SNPE_UDL_LAYER_EMPTY_UDL_NETWORK                      = 1100,
+   SNPE_UDL_LAYER_PARAM_INVALID                          = 1101,
+   SNPE_UDL_LAYER_INSTANCE_MISSING                       = 1102,
+   SNPE_UDL_LAYER_SETUP_FAILED                           = 1103,
+   SNPE_UDL_EXECUTE_FAILED                               = 1104,
+   SNPE_UDL_BUNDLE_INVALID                               = 1105,
+   SNPE_UDO_REGISTRATION_FAILED                          = 1106,
+   SNPE_UDO_GET_PACKAGE_FAILED                           = 1107,
+   SNPE_UDO_GET_IMPLEMENTATION_FAILED                    = 1108,
+
+   // Dependent library errors
+   SNPE_STD_LIBRARY_ERROR                                = 1200,
+
+   // Unknown exception (catch (...)), Has no component attached to this
+   SNPE_UNKNOWN_EXCEPTION                                = 1210,
+
+   // Storage Errors
+   SNPE_STORAGE_INVALID_KERNEL_REPO                      = 1300,
+
+   // AIP runtime errors
+   SNPE_AIP_LAYER_NOT_SUPPORTED                          = 1400,
+   SNPE_AIP_LAYER_PARAM_NOT_SUPPORTED                    = 1401,
+   SNPE_AIP_LAYER_PARAM_INVALID                          = 1402,
+   SNPE_AIP_LAYER_PARAM_COMBINATION_INVALID              = 1403,
+   SNPE_AIP_STUB_NOT_PRESENT                             = 1404,
+   SNPE_AIP_LAYER_NAME_TRUNCATED                         = 1405,
+   SNPE_AIP_LAYER_INPUT_BUFFER_NAME_TRUNCATED            = 1406,
+   SNPE_AIP_LAYER_OUTPUT_BUFFER_NAME_TRUNCATED           = 1407,
+   SNPE_AIP_RUNTIME_COMMUNICATION_ERROR                  = 1408,
+   SNPE_AIP_RUNTIME_INVALID_PARAM_ERROR                  = 1409,
+   SNPE_AIP_RUNTIME_SYSTEM_ERROR                         = 1410,
+   SNPE_AIP_RUNTIME_TENSOR_MISSING                       = 1411,
+   SNPE_AIP_RUNTIME_TENSOR_SHAPE_MISMATCH                = 1412,
+   SNPE_AIP_RUNTIME_BAD_AIX_RECORD                       = 1413,
+
+   // DlCaching errors
+   SNPE_DLCACHING_INVALID_METADATA                       = 1500,
+   SNPE_DLCACHING_INVALID_INITBLOB                       = 1501,
+
+   // Infrastructure Errors
+   SNPE_INFRA_CLUSTERMGR_INSTANCE_INVALID                = 1600,
+   SNPE_INFRA_CLUSTERMGR_EXECUTE_SYNC_FAILED             = 1601,
+
+   // Memory Errors
+   SNPE_MEMORY_CORRUPTION_ERROR                          = 1700
+
+};
+
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * Returns the error code of the last error encountered.
+ *
+ * @return The error code.
+ *
+ * @note The returned error code is significant only when the return
+ *       value of the call indicated an error.
+ */
+ZDL_EXPORT ErrorCode getLastErrorCode();
+
+/**
+ * Returns the error string of the last error encountered.
+ *
+ * @return The error string.
+ *
+ * @note The returned error string is significant only when the return
+ *       value of the call indicated an error.
+ */
+ZDL_EXPORT const char* getLastErrorString();
+
+/**
+ * Returns the info string of the last error encountered.
+ */
+ZDL_EXPORT const char* getLastInfoString();
+
+/**
+ * Returns the uint32_t representation of the error code enum.
+ *
+ * @param[in] code The error code to be converted.
+ *
+ * @return uint32_t representation of the error code.
+ */
+ZDL_EXPORT uint32_t enumToUInt32(zdl::DlSystem::ErrorCode code);
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+} // DlSystem
+} // zdl
+
+#endif // _DL_ERROR_HPP_
+

third_party/snpe/include/DlSystem/DlOptional.hpp

@@ -0,0 +1,225 @@
+//==============================================================================
+//
+//  Copyright (c) 2016, 2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _DL_SYSTEM_OPTIONAL_HPP_
+#define _DL_SYSTEM_OPTIONAL_HPP_
+
+#include <cstdio>
+#include <utility>
+#include <stdexcept>
+
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl {
+namespace DlSystem {
+
+template <typename T>
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * Class to manage a value that may or may not exist. The boolean value
+ * of the Optional class is true if the object contains a value and false
+ * if it does not contain a value.
+ *
+ * The class must be evaluated and confirmed as true (containing a value)
+ * before being dereferenced.
+ */
+class ZDL_EXPORT Optional final {
+public:
+   enum class LIFECYCLE {
+      NONE = 0,
+      REFERENCE_OWNED = 1,
+      POINTER_OWNED = 2,
+      POINTER_NOT_OWNED = 3
+   };
+
+   struct ReferenceCount {
+      size_t count = 0;
+
+      void increment() { count++; }
+
+      size_t decrement() {
+         if (count > 0) {
+            count--;
+         }
+         return count;
+      }
+   };
+
+   using U = typename std::remove_pointer<T>::type;
+
+   /**
+    * The default constructor is set to not have any value, and is
+    * therefore evaluated as false.
+    */
+   // Do not explicit it so we can return {}
+   Optional() {
+      m_Type = LIFECYCLE::NONE;
+   }
+
+   /**
+    * Construct an Optional class using an object.
+    * @param[in] Reference to an object v
+    * @param[out] Optional instance of object v
+    */
+   template <typename Q = T>
+   Optional (const T& v, typename std::enable_if<!std::is_pointer<Q>::value>::type* = 0)
+           : m_Type(LIFECYCLE::REFERENCE_OWNED) {
+      try {
+         m_StoragePtr = new T(v);
+      } catch (...) {
+         m_StoragePtr = nullptr;
+         m_Type = LIFECYCLE::NONE;
+      }
+   }
+
+   template <typename Q = T>
+   Optional(U* v, LIFECYCLE type, typename std::enable_if<std::is_pointer<Q>::value>::type* = 0)
+           : m_Type(type) {
+      switch (m_Type) {
+         case LIFECYCLE::POINTER_OWNED:
+            m_StoragePtr = v;
+            m_Count = new ReferenceCount();
+            m_Count->increment();
+            break;
+         case LIFECYCLE::POINTER_NOT_OWNED:
+            m_StoragePtr = v;
+            break;
+         case LIFECYCLE::REFERENCE_OWNED:
+            throw std::bad_exception();
+         case LIFECYCLE::NONE:
+            break;
+      }
+   }
+
+   Optional(const Optional &other) : m_Type(other.m_Type), m_Count(other.m_Count) {
+      if (isReference()) {
+         m_StoragePtr = new U(*other.m_StoragePtr);
+      } else if (isPointer()) {
+         m_StoragePtr = other.m_StoragePtr;
+         if (isOwned()) {
+            m_Count->increment();
+         }
+      }
+   }
+
+   Optional& operator=(const Optional& other) noexcept {
+      Optional tmp(other);
+      swap(std::move(tmp));
+      return *this;
+   }
+
+   Optional(Optional&& other) noexcept {
+      swap(std::move(other));
+   }
+
+   Optional& operator=(Optional&& other) noexcept {
+      swap(std::move(other));
+      return *this;
+   }
+
+   ~Optional() {
+      if (isOwned()) {
+         if (isReference() || (isPointer() && m_Count->decrement() == 0)) {
+            delete m_StoragePtr;
+            delete m_Count;
+         }
+      }
+   }
+
+   /**
+    * Boolean value of Optional class is only true when there exists a value.
+    */
+   operator bool() const noexcept { return isValid(); }
+
+   bool operator!() const noexcept { return !isValid(); }
+
+   /**
+    * Get reference of Optional object
+    * @warning User must validate Optional has value before.
+    */
+   const T& operator*() { return this->GetReference(); }
+
+   /**
+    * Get reference of Optional object
+    * @warning User must validate Optional has value before.
+    */
+   const T& operator*() const { return this->GetReference(); }
+
+   operator T&() { return this->GetReference(); }
+
+   T operator->() {
+      T self = this->GetReference();
+      return self;
+   }
+private:
+   void swap(Optional&& other) {
+      m_Type = other.m_Type;
+      m_StoragePtr = other.m_StoragePtr;
+      m_Count = other.m_Count;
+
+      other.m_Type = LIFECYCLE::NONE;
+      other.m_StoragePtr = nullptr;
+      other.m_Count = nullptr;
+   }
+
+   template <typename Q = T>
+   typename std::enable_if<std::is_same<U, Q>::value, const Q&>::type GetReference() const noexcept {
+      if (!isReference()) std::terminate();
+      return *static_cast<const Q*>(m_StoragePtr);
+   }
+
+   template <typename Q = T>
+   typename std::enable_if<std::is_same<U*, Q>::value, const Q&>::type GetReference() const noexcept {
+      if (!isPointer()) std::terminate();
+      return static_cast<const Q&>(m_StoragePtr);
+   }
+
+   template <typename Q = T>
+   typename std::enable_if<std::is_same<U, Q>::value, Q&>::type GetReference() noexcept {
+      if (!isReference()) std::terminate();
+      return *m_StoragePtr;
+   }
+
+   template <typename Q = T>
+   typename std::enable_if<std::is_same<U*, Q>::value, Q&>::type GetReference() noexcept {
+      if (!isPointer()) std::terminate();
+      return m_StoragePtr;
+   }
+
+   bool isPointer() const {
+      return m_Type == LIFECYCLE::POINTER_OWNED || m_Type == LIFECYCLE::POINTER_NOT_OWNED;
+   }
+
+   bool isOwned() const {
+      return m_Type == LIFECYCLE::REFERENCE_OWNED || m_Type == LIFECYCLE::POINTER_OWNED;
+   }
+
+   bool isReference() const {
+      return m_Type == LIFECYCLE::REFERENCE_OWNED;
+   }
+
+   bool isValid() const {
+      return m_Type != LIFECYCLE::NONE;
+   }
+
+   U* m_StoragePtr = nullptr;
+   LIFECYCLE m_Type;
+   ReferenceCount *m_Count = nullptr;
+};
+
+} // ns DlSystem
+} // ns zdl
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // _DL_SYSTEM_OPTIONAL_HPP_

third_party/snpe/include/DlSystem/DlVersion.hpp

@@ -0,0 +1,78 @@
+//==============================================================================
+//
+//  Copyright (c) 2014-2015 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+
+#ifndef _DL_VERSION_HPP_
+#define _DL_VERSION_HPP_
+
+#include "ZdlExportDefine.hpp"
+#include <stdint.h>
+#include <string>
+#include "DlSystem/String.hpp"
+
+
+namespace zdl {
+namespace DlSystem
+{
+   class Version_t;
+}}
+
+
+namespace zdl { namespace DlSystem
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * A class that contains the different portions of a version number.
+ */
+class ZDL_EXPORT Version_t
+{
+public:
+   /// Holds the major version number. Changes in this value indicate
+   /// major changes that break backward compatibility.
+   int32_t         Major;
+
+   /// Holds the minor version number. Changes in this value indicate
+   /// minor changes made to library that are backwards compatible
+   /// (such as additions to the interface).
+   int32_t         Minor;
+
+   /// Holds the teeny version number. Changes in this value indicate
+   /// changes such as bug fixes and patches made to the library that
+   /// do not affect the interface.
+   int32_t         Teeny;
+
+   /// This string holds information about the build version.
+   ///
+   std::string     Build;
+
+   static zdl::DlSystem::Version_t fromString(const std::string &stringValue);
+
+   static zdl::DlSystem::Version_t fromString(const zdl::DlSystem::String &stringValue);
+
+   /**
+    * @brief Returns a string in the form Major.Minor.Teeny.Build
+    *
+    * @return A formatted string holding the version information.
+    */
+   const std::string toString() const;
+
+   /**
+    * @brief Returns a string in the form Major.Minor.Teeny.Build
+    *
+    * @return A formatted string holding the version information.
+    */
+   const zdl::DlSystem::String asString() const;
+};
+
+}}
+
+/** @} */ /* end_addtogroup c_plus_plus_apis */
+
+#endif

third_party/snpe/include/DlSystem/IBufferAttributes.hpp

@@ -0,0 +1,86 @@
+//==============================================================================
+//
+// Copyright (c) 2017-2019 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _IBUFFER_ATTRIBUTES_HPP
+#define _IBUFFER_ATTRIBUTES_HPP
+#include "IUserBuffer.hpp"
+#include "TensorShape.hpp"
+#include "ZdlExportDefine.hpp"
+
+namespace zdl {
+    namespace DlSystem {
+        class UserBufferEncoding;
+    }
+}
+
+namespace zdl {
+namespace DlSystem {
+
+/**
+ * @brief IBufferAttributes returns a buffer's dimension and alignment
+ *        requirements, along with info on its encoding type
+ */
+class ZDL_EXPORT IBufferAttributes {
+public:
+
+    /**
+      * @brief Gets the buffer's element size, in bytes
+      *
+      * This can be used to compute the memory size required
+      * to back this buffer.
+      *
+      * @return Element size, in bytes
+     */
+    virtual size_t getElementSize() const noexcept = 0;
+
+    /**
+      * @brief Gets the element's encoding type
+      *
+      * @return encoding type
+     */
+    virtual zdl::DlSystem::UserBufferEncoding::ElementType_t getEncodingType() const noexcept = 0;
+
+    /**
+      * @brief Gets the number of elements in each dimension
+      *
+      * @return Dimension size, in terms of number of elements
+     */
+    virtual const TensorShape getDims() const noexcept = 0;
+
+    /**
+      * @brief Gets the alignment requirement of each dimension
+      *
+      * Alignment per each dimension is expressed as an multiple, for
+      * example, if one particular dimension can accept multiples of 8,
+      * the alignment will be 8.
+      *
+      * @return Alignment in each dimension, in terms of multiple of
+      *         number of elements
+     */
+    virtual const TensorShape getAlignments() const noexcept = 0;
+
+    /**
+      * @brief Gets the buffer encoding returned from the network responsible
+      * for generating this buffer. Depending on the encoding type, this will
+      * be an instance of an encoding type specific derived class.
+      *
+      * @return Derived user buffer encoding object.
+     */
+    virtual zdl::DlSystem::UserBufferEncoding* getEncoding() const noexcept = 0;
+
+    virtual ~IBufferAttributes() {}
+};
+
+
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+}
+}
+
+#endif

third_party/snpe/include/DlSystem/IOBufferDataTypeMap.hpp

@@ -0,0 +1,127 @@
+//=============================================================================
+//
+//  Copyright (c) 2021-2022 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+
+#ifndef DL_SYSTEM_IOBUFFER_DATATYPE_MAP_HPP
+#define DL_SYSTEM_IOBUFFER_DATATYPE_MAP_HPP
+
+#include <cstddef>
+#include <memory>
+#include "DlSystem/DlEnums.hpp"
+
+namespace DlSystem
+{
+   // Forward declaration of IOBufferDataTypeMapImpl implementation.
+   class IOBufferDataTypeMapImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * The IoBufferDataTypeMap class definition
+ */
+class ZDL_EXPORT IOBufferDataTypeMap final
+{
+public:
+
+    /**
+    * @brief .
+    *
+    * Creates a new Buffer Data type map
+    *
+    */
+   IOBufferDataTypeMap();
+
+   /**
+    * @brief Adds a name and the corresponding buffer data type
+    *        to the map
+    *
+    * @param[name] name The name of the buffer
+    * @param[bufferDataType] buffer Data Type of the buffer
+    *
+    * @note If a buffer with the same name already exists, no new
+    *       buffer is added.
+    */
+   void add(const char* name, zdl::DlSystem::IOBufferDataType_t bufferDataType);
+
+   /**
+    * @brief Removes a buffer name from the map
+    *
+    * @param[name] name The name of the buffer
+    *
+    */
+   void remove(const char* name);
+
+   /**
+    * @brief Returns the type of the named buffer
+    *
+    * @param[name] name The name of the buffer
+    *
+    * @return The type of the buffer, or UNSPECIFIED if the buffer does not exist
+    *
+    */
+   zdl::DlSystem::IOBufferDataType_t getBufferDataType(const char* name);
+
+   /**
+    * @brief Returns the type of the first buffer
+    *
+    * @return The type of the first buffer, or UNSPECIFIED if the map is empty.
+    *
+    */
+   zdl::DlSystem::IOBufferDataType_t getBufferDataType();
+
+   /**
+    * @brief Returns the size of the buffer type map.
+    *
+    * @return The size of the map
+    *
+    */
+   size_t size();
+
+   /**
+    * @brief Checks the existence of the named buffer in the map
+    *
+    * @return True if the named buffer exists, false otherwise.
+    *
+    */
+   bool find(const char* name);
+
+   /**
+    * @brief Resets the map
+    *
+    */
+   void clear();
+
+   /**
+    * @brief Checks whether the map is empty
+    *
+    * @return True if the map is empty, false otherwise.
+    *
+    */
+   bool empty();
+
+   /**
+    * @brief Destroys the map
+    *
+    */
+   ~IOBufferDataTypeMap();
+
+private:
+   std::shared_ptr<::DlSystem::IOBufferDataTypeMapImpl> m_IOBufferDataTypeMapImpl;
+};
+}
+
+}
+#endif

third_party/snpe/include/DlSystem/ITensor.hpp

@@ -0,0 +1,146 @@
+//=============================================================================
+//
+//  Copyright (c) 2015-2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _ITENSOR_HPP_
+#define _ITENSOR_HPP_
+
+#include "ITensorItr.hpp"
+#include "ITensorItrImpl.hpp"
+#include "TensorShape.hpp"
+#include "ZdlExportDefine.hpp"
+#include <memory>
+#include <ostream>
+#include <cmath>
+
+namespace zdl {
+namespace DlSystem
+{
+   class ITensor;
+}}
+
+namespace zdl { namespace DlSystem
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * Represents a tensor which holds n-dimensional data. It is important to
+ * understand how the tensor data is represented in memory 
+ * relative to the tensor dimensions. Tensors store data in 
+ * memory in row-major order (i.e. the last tensor dimension is 
+ * the fastest varying one). For example, if you have a two 
+ * dimensional tensor with 3 rows and 2 columns (i.e. the tensor 
+ * dimensions are 3,2 as returned in tensor dimension vectors)
+ * with the following data in terms rows and columns: 
+ *  
+ * | 1 2 | <br/>
+ * | 3 4 | <br/>
+ * | 5 6 | <br/>
+ *  
+ * This data would be stored in memory as 1,2,3,4,5,6. 
+ */
+class ZDL_EXPORT ITensor 
+{
+public:
+
+   typedef zdl::DlSystem::ITensorItr<false> iterator;
+   typedef zdl::DlSystem::ITensorItr<true> const_iterator;
+
+   virtual ~ITensor() {}
+
+   /**
+    * Returns a tensor iterator pointing to the beginning 
+    * of the data in the tensor.
+    * 
+    * @return A tensor iterator that points to the first data
+    *         element in the tensor.
+    */
+   virtual iterator begin() = 0;
+
+   /**
+    * Returns the const version of a tensor iterator 
+    * pointing to the beginning of the data in the tensor.
+    * 
+    * @return A tensor const iterator that points to the first data
+    *         element in the tensor.
+    */
+   virtual const_iterator cbegin() const = 0;
+
+   /**
+    * Returns a tensor iterator pointing to the end of the
+    * data in the tensor. This tensor should not be
+    * dereferenced.
+    * 
+    * @return A tensor iterator that points to the end of the data 
+    *         (one past the last element) in the tensor.
+    */
+   virtual iterator end() = 0;
+
+   /**
+    * Returns the const version of a tensor iterator 
+    * pointing to the end of the data in the tensor. This
+    * tensor should not be dereferenced.
+    * 
+    * @return A tensor const iterator that points to the end of the
+    *         data (one past the last element) in the tensor.
+    */
+   virtual const_iterator cend() const = 0;
+
+   /**
+    * @brief Gets the shape of this tensor.
+    *  
+    * The last element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest 
+    * varying dimension, etc. 
+    * 
+    * @return A shape class holding the tensor dimensions.
+    */
+   virtual TensorShape getShape() const = 0;
+
+   /**
+    * Returns the element size of the data in the tensor 
+    * (discounting strides). This is how big a buffer would
+    * need to be to hold the tensor data contiguously in
+    * memory.
+    *  
+    * @return The size of the tensor (in elements).
+    */
+   virtual size_t getSize() const = 0;
+
+   /**
+    * @brief Serializes the tensor to an output stream.
+    * 
+    * @param[in] output The output stream to which to write the tensor 
+    *  
+    * @throw std::runtime_error If the stream is ever in a bad 
+    *        state before the tensor is fully serialized.
+    */
+   virtual void serialize(std::ostream &output) const = 0;
+
+   friend iterator;
+   friend const_iterator;
+
+   virtual bool isQuantized() {return false;}
+   virtual float GetDelta() {return NAN;};
+   virtual float GetOffset() {return NAN;};
+
+protected:
+
+   /**
+    * Returns the tensor iterator implementation.
+    * 
+    * @return A pointer to the tensor iterator implementation.
+    */
+   virtual std::unique_ptr<::DlSystem::ITensorItrImpl> getItrImpl() const = 0;
+};
+
+}}
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif

third_party/snpe/include/DlSystem/ITensorFactory.hpp

@@ -0,0 +1,92 @@
+//=============================================================================
+//
+//  Copyright (c) 2015-2016 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _ITENSOR_FACTORY_HPP
+#define _ITENSOR_FACTORY_HPP
+
+#include "ITensor.hpp"
+#include "TensorShape.hpp"
+#include "ZdlExportDefine.hpp"
+#include <istream>
+
+namespace zdl {
+    namespace DlSystem
+    {
+        class ITensor;
+        class TensorShape;
+    }
+}
+
+namespace zdl { namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * Factory interface class to create ITensor objects.
+ */
+class ZDL_EXPORT ITensorFactory
+{
+public:
+   virtual ~ITensorFactory() = default;
+
+   /**
+    * Creates a new ITensor with uninitialized data. 
+    *  
+    * The strides for the tensor will match the tensor dimensions 
+    * (i.e., the tensor data is contiguous in memory).
+    *  
+    * @param[in] shape The dimensions for the tensor in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    * 
+    * @return A pointer to the created tensor or nullptr if creating failed.
+    */
+   virtual std::unique_ptr<ITensor>
+      createTensor(const TensorShape &shape) noexcept = 0;
+
+   /**
+    * Creates a new ITensor by loading it from a file.
+    *  
+    * @param[in] input The input stream from which to read the tensor 
+    *                  data.
+    *  
+    * @return A pointer to the created tensor or nullptr if creating failed.
+    *
+    */
+   virtual std::unique_ptr<ITensor> createTensor(std::istream &input) noexcept = 0;
+
+   /**
+    * Create a new ITensor with specific data.
+    * (i.e. the tensor data is contiguous in memory). This tensor is
+    * primarily used to create a tensor where tensor size can't be
+    * computed directly from dimension. One such example is
+    * NV21-formatted image, or any YUV formatted image
+    *
+    * @param[in] shape The dimensions for the tensor in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    *
+    * @param[in] data The actual data with which the Tensor object is filled.
+    *
+    * @param[in] dataSize The size of data
+    *
+    * @return A pointer to the created tensor
+    */
+   virtual std::unique_ptr<ITensor>
+      createTensor(const TensorShape &shape, const unsigned char *data, size_t dataSize) noexcept = 0;
+};
+
+}}
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif

third_party/snpe/include/DlSystem/ITensorItr.hpp

@@ -0,0 +1,182 @@
+//=============================================================================
+//
+//  Copyright (c) 2015 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _ITENSOR_ITR_HPP_
+#define _ITENSOR_ITR_HPP_
+
+#include "ZdlExportDefine.hpp"
+#include "ITensorItrImpl.hpp"
+
+#include <memory>
+#include <iterator>
+#include <iostream>
+
+namespace zdl {
+namespace DlSystem
+{
+   template<bool IS_CONST> class ITensorItr;
+   class ITensor;
+   void ZDL_EXPORT fill(ITensorItr<false> first, ITensorItr<false> end, float val);
+   template<class InItr, class OutItr> OutItr ZDL_EXPORT copy(InItr first, InItr last, OutItr result)
+   {
+      return std::copy(first, last, result);
+   }
+}}
+namespace DlSystem
+{
+   class ITensorItrImpl;
+}
+
+namespace zdl { namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * A bidirectional iterator (with limited random access 
+ * capabilities) for the zdl::DlSystem::ITensor class.
+ *  
+ * This is a standard bidrectional iterator and is compatible
+ * with standard algorithm functions that operate on bidirectional 
+ * access iterators (e.g., std::copy, std::fill, etc.). It uses a
+ * template parameter to create const and non-const iterators 
+ * from the same code. Iterators are easiest to declare via the 
+ * typedefs iterator and const_iterator in the ITensor class 
+ * (e.g., zdl::DlSystem::ITensor::iterator). 
+ *  
+ * Note that if the tensor the iterator is traversing was 
+ * created with nondefault (i.e., nontrivial) strides, the 
+ * iterator will obey the strides when traversing the tensor 
+ * data. 
+ *  
+ * Also note that nontrivial strides dramatically affect the
+ * performance of the iterator (on the order of 20x slower). 
+ */ 
+template<bool IS_CONST=true>
+class ZDL_EXPORT ITensorItr : public std::iterator<std::bidirectional_iterator_tag, float>
+{
+public:
+
+   typedef typename std::conditional<IS_CONST, const float&, float&>::type VALUE_REF;
+
+   ITensorItr() = delete;
+   virtual ~ITensorItr() {}
+
+   ITensorItr(std::unique_ptr<::DlSystem::ITensorItrImpl> impl, 
+              bool isTrivial = false, 
+              float* data = nullptr)
+      : m_Impl(impl->clone())
+      , m_IsTrivial(isTrivial)
+      , m_Data(data)
+      , m_DataStart(data) {}
+
+   ITensorItr(const ITensorItr<IS_CONST>& itr)
+      : m_Impl(itr.m_Impl->clone()),
+        m_IsTrivial(itr.m_IsTrivial),
+        m_Data(itr.m_Data),
+        m_DataStart(itr.m_DataStart) {}
+
+   zdl::DlSystem::ITensorItr<IS_CONST>& operator=(const ITensorItr<IS_CONST>& other)
+   {
+      if (this == &other) return *this;
+      m_Impl = std::move(other.m_Impl->clone());
+      m_IsTrivial = other.m_IsTrivial;
+      m_Data = other.m_Data;
+      m_DataStart = other.m_DataStart;
+      return *this;
+   }
+
+   inline zdl::DlSystem::ITensorItr<IS_CONST>& operator++()
+   {
+      if (m_IsTrivial) m_Data++; else m_Impl->increment();
+      return *this;
+   }
+   inline zdl::DlSystem::ITensorItr<IS_CONST> operator++(int)
+   {
+      ITensorItr tmp(*this);
+      operator++();
+      return tmp;
+   }
+   inline zdl::DlSystem::ITensorItr<IS_CONST>& operator--()
+   {
+      if (m_IsTrivial) m_Data--; else m_Impl->decrement();
+      return *this;
+   }
+   inline zdl::DlSystem::ITensorItr<IS_CONST> operator--(int)
+   {
+      ITensorItr tmp(*this);
+      operator--();
+      return tmp;
+   }
+   inline zdl::DlSystem::ITensorItr<IS_CONST>& operator+=(int rhs)
+   {
+      if (m_IsTrivial) m_Data += rhs; else m_Impl->increment(rhs);
+      return *this;
+   }
+   inline friend zdl::DlSystem::ITensorItr<IS_CONST> operator+(zdl::DlSystem::ITensorItr<IS_CONST> lhs, int rhs)
+      { lhs += rhs; return lhs; }
+   inline zdl::DlSystem::ITensorItr<IS_CONST>& operator-=(int rhs)
+   {
+      if (m_IsTrivial) m_Data -= rhs; else m_Impl->decrement(rhs);
+      return *this;
+   }
+   inline friend zdl::DlSystem::ITensorItr<IS_CONST> operator-(zdl::DlSystem::ITensorItr<IS_CONST> lhs, int rhs)
+      { lhs -= rhs; return lhs; }
+
+   inline size_t operator-(const zdl::DlSystem::ITensorItr<IS_CONST>& rhs)
+   {
+      if (m_IsTrivial) return (m_Data - m_DataStart) - (rhs.m_Data - rhs.m_DataStart);
+      return m_Impl->getPosition() - rhs.m_Impl->getPosition();
+   }
+
+   inline friend bool operator<(const ITensorItr<IS_CONST>& lhs, const ITensorItr<IS_CONST>& rhs)
+   {
+      if (lhs.m_IsTrivial) return lhs.m_Data < rhs.m_Data;
+      return lhs.m_Impl->dataPointer() < rhs.m_Impl->dataPointer();
+   }
+   inline friend bool operator>(const ITensorItr<IS_CONST>& lhs, const ITensorItr<IS_CONST>& rhs)
+      { return rhs < lhs; }
+   inline friend bool operator<=(const ITensorItr<IS_CONST>& lhs, const ITensorItr<IS_CONST>& rhs)
+      { return !(lhs > rhs); }
+   inline friend bool operator>=(const ITensorItr<IS_CONST>& lhs, const ITensorItr<IS_CONST>& rhs)
+      { return !(lhs < rhs); }
+
+   inline bool operator==(const ITensorItr<IS_CONST>& rhs) const
+   {
+      if (m_IsTrivial) return m_Data == rhs.m_Data;
+      return m_Impl->dataPointer() == rhs.m_Impl->dataPointer();
+   }
+   inline bool operator!=(const ITensorItr<IS_CONST>& rhs) const
+      { return !operator==(rhs); }
+
+   inline VALUE_REF operator[](size_t idx)
+   {
+      if (m_IsTrivial) return *(m_DataStart + idx);
+      return m_Impl->getReferenceAt(idx);
+   }
+   inline VALUE_REF operator*()
+      { if (m_IsTrivial) return *m_Data; else return m_Impl->getReference(); }
+   inline VALUE_REF operator->()
+      { return *(*this); }
+   inline float* dataPointer() const
+      { if (m_IsTrivial) return m_Data; else return m_Impl->dataPointer(); }
+
+
+protected:
+   std::unique_ptr<::DlSystem::ITensorItrImpl> m_Impl;
+   bool m_IsTrivial = false;
+   float* m_Data = nullptr;
+   float* m_DataStart = nullptr;
+};
+
+}}
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif

third_party/snpe/include/DlSystem/ITensorItrImpl.hpp

@@ -0,0 +1,42 @@
+//=============================================================================
+//
+//  Copyright (c) 2015-2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _ITENSOR_ITR_IMPL_HPP_
+#define _ITENSOR_ITR_IMPL_HPP_
+
+#include "ZdlExportDefine.hpp"
+
+#include <memory>
+#include <iterator>
+
+namespace DlSystem
+{
+   class ITensorItrImpl;
+}
+
+class ZDL_EXPORT DlSystem::ITensorItrImpl
+{
+public:
+   ITensorItrImpl() {}
+   virtual ~ITensorItrImpl() {}
+
+   virtual float getValue() const = 0;
+   virtual float& getReference() = 0;
+   virtual float& getReferenceAt(size_t idx) = 0;
+   virtual float* dataPointer() const = 0;
+   virtual void increment(int incVal = 1) = 0;
+   virtual void decrement(int decVal = 1) = 0;
+   virtual size_t getPosition() = 0;
+   virtual std::unique_ptr<DlSystem::ITensorItrImpl> clone() = 0;
+
+private:
+   ITensorItrImpl& operator=(const ITensorItrImpl& other) = delete;
+   ITensorItrImpl(const ITensorItrImpl& other) = delete;
+};
+
+#endif

third_party/snpe/include/DlSystem/IUDL.hpp

@@ -0,0 +1,105 @@
+//=============================================================================
+//
+//  Copyright (c) 2016-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _DL_SYSTEM_IUDL_HPP_
+#define _DL_SYSTEM_IUDL_HPP_
+
+#include "ZdlExportDefine.hpp"
+
+namespace zdl {
+namespace DlSystem {
+
+/**
+ * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+ *
+ * @brief .
+ *
+ * Base class user concrete UDL implementation.
+ *
+ * All functions are marked as:
+ *
+ * - virtual
+ * - noexcept
+ *
+ * User should make sure no exceptions are propagated outside of
+ * their module. Errors can be communicated via return values.
+ */
+class ZDL_EXPORT IUDL {
+public:
+   /**
+    * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+    *
+    * @brief .
+    *
+    * Destructor
+    */
+   virtual ~IUDL() = default;
+
+   /**
+    * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+    *
+    * @brief Sets up the user's environment.
+    * This is called by the SNPE framework to allow the user the
+    * opportunity to setup anything which is needed for running
+    * user defined layers.
+    *
+    * @param cookie User provided opaque data returned by the SNPE
+    *               runtime
+    *
+    * @param insz How many elements in input size array
+    * @param indim Pointer to a buffer that holds input dimension
+    *               array
+    * @param indimsz Input dimension size  array of the buffer
+    *                 'indim'. Corresponds to indim
+    *
+    * @param outsz How many elements in output size array
+    * @param outdim Pointer to a buffer that holds output
+    *              dimension array
+    * @param outdimsz Output dimension size of the buffer 'oudim'.
+    *                  Corresponds to indim
+    *
+    * @return true on success, false otherwise
+    */
+   virtual bool setup(void *cookie,
+                      size_t insz, const size_t **indim, const size_t *indimsz,
+                      size_t outsz, const size_t **outdim, const size_t *outdimsz)  = 0;
+
+   /**
+    * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+    *
+    * @brief Close the instance. Invoked by the SNPE
+    * framework to allow the user the opportunity to release any resources
+    * allocated during setup.
+    *
+    * @param cookie - User provided opaque data returned by the SNPE runtime
+    */
+   virtual void close(void *cookie) noexcept = 0;
+
+   /**
+    * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+    *
+    * @brief Execute the user defined layer
+    *
+    * @param cookie User provided opaque data returned by the SNPE 
+    *               runtime
+    *
+    * @param input Const pointer to a float buffer that contains
+    *               the input
+    *
+    * @param output Float pointer to a buffer that would hold
+    *                 the user defined layer's output. This buffer
+    *                 is allocated and owned by SNPE runtime.
+    */
+   virtual bool execute(void *cookie, const float **input, float **output)  = 0;
+};
+
+} // ns DlSystem
+
+} // ns zdl
+
+#endif // _DL_SYSTEM_IUDL_HPP_

third_party/snpe/include/DlSystem/IUserBuffer.hpp

@@ -0,0 +1,358 @@
+//==============================================================================
+//
+// Copyright (c) 2017-2020 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _IUSER_BUFFER_HPP
+#define _IUSER_BUFFER_HPP
+
+#include "TensorShape.hpp"
+#include "ZdlExportDefine.hpp"
+#include <math.h>
+
+namespace zdl {
+namespace DlSystem {
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+
+/**
+  * @brief .
+  *
+  * A base class buffer encoding type
+  */
+class ZDL_EXPORT UserBufferEncoding {
+public:
+
+    /**
+      * @brief .
+      *
+      * An enum class of all supported element types in a IUserBuffer
+      */
+    enum class ElementType_t
+    {
+        /// Unknown element type.
+        UNKNOWN         = 0,
+
+        /// Each element is presented by float.
+        FLOAT           = 1,
+
+        /// Each element is presented by an unsigned int.
+        UNSIGNED8BIT    = 2,
+
+        /// Each element is presented by an 8-bit quantized value.
+        TF8             = 10,
+
+        /// Each element is presented by an 16-bit quantized value.
+        TF16            = 11
+    };
+
+    /**
+      * @brief Retrieves the size of the element, in bytes.
+      *
+      * @return Size of the element, in bytes.
+     */
+    virtual size_t getElementSize() const noexcept = 0;
+
+    /**
+      * @brief Retrieves the element type
+      *
+      * @return Element type
+     */
+    ElementType_t getElementType() const noexcept {return m_ElementType;};
+
+    virtual ~UserBufferEncoding() {}
+
+protected:
+    UserBufferEncoding(ElementType_t  elementType) : m_ElementType(elementType) {};
+private:
+    const ElementType_t  m_ElementType;
+};
+
+/**
+  * @brief .
+  *
+  * A base class buffer source type
+  *
+  * @note User buffer from CPU support all kinds of runtimes;
+  *       User buffer from GLBUFFER support only GPU runtime.
+  */
+class ZDL_EXPORT UserBufferSource {
+public:
+   enum class SourceType_t
+   {
+      /// Unknown buffer source type.
+      UNKNOWN = 0,
+
+      /// The network inputs are from CPU buffer.
+      CPU = 1,
+
+      /// The network inputs are from OpenGL buffer.
+      GLBUFFER = 2
+   };
+
+   /**
+     * @brief Retrieves the source type
+     *
+     * @return Source type
+    */
+   SourceType_t getSourceType() const noexcept {return m_SourceType;};
+
+protected:
+   UserBufferSource(SourceType_t sourceType): m_SourceType(sourceType) {};
+private:
+   const SourceType_t m_SourceType;
+};
+
+/**
+  * @brief .
+  *
+  * An source type where input data is delivered from OpenGL buffer
+  */
+class ZDL_EXPORT UserBufferSourceGLBuffer : public UserBufferSource{
+public:
+   UserBufferSourceGLBuffer() : UserBufferSource(SourceType_t::GLBUFFER) {};
+};
+
+/**
+  * @brief .
+  *
+  * An encoding type where each element is represented by an unsigned int
+  */
+class ZDL_EXPORT UserBufferEncodingUnsigned8Bit : public UserBufferEncoding {
+public:
+    UserBufferEncodingUnsigned8Bit() : UserBufferEncoding(ElementType_t::UNSIGNED8BIT) {};
+    size_t getElementSize() const noexcept override;
+
+protected:
+    UserBufferEncodingUnsigned8Bit(ElementType_t  elementType) : UserBufferEncoding(elementType) {};
+
+};
+
+/**
+  * @brief .
+  *
+  * An encoding type where each element is represented by a float
+  */
+class ZDL_EXPORT UserBufferEncodingFloat : public UserBufferEncoding {
+public:
+    UserBufferEncodingFloat() : UserBufferEncoding(ElementType_t::FLOAT) {};
+    size_t getElementSize() const noexcept override;
+
+};
+
+/**
+  * @brief .
+  *
+  * An encoding type where each element is represented by tf8, which is an
+  * 8-bit quantizd value, which has an exact representation of 0.0
+  */
+class ZDL_EXPORT UserBufferEncodingTfN : public UserBufferEncoding {
+public:
+   UserBufferEncodingTfN() = delete;
+   UserBufferEncodingTfN(uint64_t stepFor0, float stepSize, uint8_t bWidth=8):
+                                           UserBufferEncoding(getTypeFromWidth(bWidth)),
+                                           bitWidth(bWidth),
+                                           m_StepExactly0(stepFor0),
+                                           m_QuantizedStepSize(stepSize){};
+
+   UserBufferEncodingTfN(const zdl::DlSystem::UserBufferEncoding &ubEncoding) : UserBufferEncoding(ubEncoding.getElementType()){
+            const zdl::DlSystem::UserBufferEncodingTfN* ubEncodingTfN
+                            = dynamic_cast <const zdl::DlSystem::UserBufferEncodingTfN*> (&ubEncoding);
+            if (ubEncodingTfN) {
+                m_StepExactly0 = ubEncodingTfN->getStepExactly0();
+                m_QuantizedStepSize = ubEncodingTfN->getQuantizedStepSize();
+                bitWidth = ubEncodingTfN->bitWidth;
+            }
+   }
+
+   size_t getElementSize() const noexcept override;
+   /**
+      * @brief Sets the step value that represents 0
+      *
+      * @param[in] stepExactly0 The step value that represents 0
+      *
+     */
+   void setStepExactly0(uint64_t stepExactly0) {
+      m_StepExactly0 = stepExactly0;
+   }
+
+   /**
+     * @brief Sets the float value that each step represents
+     *
+     * @param[in] quantizedStepSize The float value of each step size
+     *
+    */
+   void setQuantizedStepSize(const float quantizedStepSize) {
+      m_QuantizedStepSize = quantizedStepSize;
+   }
+
+   /**
+     * @brief Retrieves the step that represents 0.0
+     *
+     * @return Step value
+    */
+   uint64_t getStepExactly0() const {
+      return m_StepExactly0;
+   }
+
+   /**
+    * Calculates the minimum floating point value that
+    * can be represented with this encoding.
+    *
+    * @return Minimum representable floating point value
+    */
+   float getMin() const {
+      return static_cast<float>(m_QuantizedStepSize * (0 - (double)m_StepExactly0));
+   }
+
+   /**
+    * Calculates the maximum floating point value that
+    * can be represented with this encoding.
+    *
+    * @return Maximum representable floating point value
+    */
+   float getMax() const{
+       return static_cast<float>(m_QuantizedStepSize * (pow(2,bitWidth)-1 - (double)m_StepExactly0));
+   };
+
+   /**
+     * @brief Retrieves the step size
+     *
+     * @return Step size
+    */
+   float getQuantizedStepSize() const {
+      return m_QuantizedStepSize;
+   }
+
+   ElementType_t getTypeFromWidth(uint8_t width);
+
+   uint8_t bitWidth;
+protected:
+   uint64_t m_StepExactly0;
+   float m_QuantizedStepSize;
+};
+
+
+class ZDL_EXPORT UserBufferEncodingTf8 : public UserBufferEncodingTfN {
+public:
+    UserBufferEncodingTf8() = delete;
+    UserBufferEncodingTf8(unsigned char stepFor0, float stepSize) :
+            UserBufferEncodingTfN(stepFor0, stepSize) {};
+
+    UserBufferEncodingTf8(const zdl::DlSystem::UserBufferEncoding &ubEncoding) : UserBufferEncodingTfN(ubEncoding){}
+
+/**
+      * @brief Sets the step value that represents 0
+      *
+      * @param[in] stepExactly0 The step value that represents 0
+      *
+     */
+
+    void setStepExactly0(const unsigned char stepExactly0) {
+        UserBufferEncodingTfN::m_StepExactly0 = stepExactly0;
+    }
+
+/**
+      * @brief Retrieves the step that represents 0.0
+      *
+      * @return Step value
+     */
+
+    unsigned char getStepExactly0() const {
+        return UserBufferEncodingTfN::m_StepExactly0;
+    }
+
+};
+
+
+/**
+ * @brief UserBuffer contains a pointer and info on how to walk it and interpret its content.
+ */
+class ZDL_EXPORT IUserBuffer {
+public:
+    virtual ~IUserBuffer() = default;
+    
+    /**
+      * @brief Retrieves the total number of bytes between elements in each dimension if
+      * the buffer were to be interpreted as a multi-dimensional array.
+      *
+      * @return Number of bytes between elements in each dimension.
+      * e.g. A tightly packed tensor of floats with dimensions [4, 3, 2] would
+      * return strides of [24, 8, 4].
+     */
+    virtual const TensorShape& getStrides() const = 0;
+
+    /**
+      * @brief Retrieves the size of the buffer, in bytes.
+      *
+      * @return Size of the underlying buffer, in bytes.
+     */
+    virtual size_t getSize() const = 0;
+
+    /**
+      * @brief Retrieves the size of the inference data in the buffer, in bytes.
+      *
+      * The inference results from a dynamic-sized model may not be exactly the same size
+      * as the UserBuffer provided to SNPE. This function can be used to get the amount
+      * of output inference data, which may be less or greater than the size of the UserBuffer.
+      *
+      * If the inference results fit in the UserBuffer, getOutputSize() would be less than
+      * or equal to getSize(). But if the inference results were more than the capacity of
+      * the provided UserBuffer, the results would be truncated to fit the UserBuffer. But,
+      * getOutputSize() would be greater than getSize(), which indicates a bigger buffer
+      * needs to be provided to SNPE to hold all of the inference results.
+      *
+      * @return Size required for the buffer to hold all inference results, which can be less
+      * or more than the size of the buffer, in bytes.
+    */
+    virtual size_t getOutputSize() const = 0;
+
+    /**
+      * @brief Changes the underlying memory that backs the UserBuffer.
+      *
+      * This can be used to avoid creating multiple UserBuffer objects
+      * when the only thing that differs is the memory location.
+      *
+      * @param[in] buffer Pointer to the memory location
+      *
+      * @return Whether the set succeeds.
+     */
+    virtual bool setBufferAddress(void *buffer) noexcept = 0;
+
+    /**
+      * @brief Gets a const reference to the data encoding object of
+      *        the underlying buffer
+      *
+      * This is necessary when the UserBuffer is filled by SNPE with
+      * data types such as TF8, where the caller needs to know the quantization
+      * parameters in order to interpret the data properly
+      *
+      * @return A read-only encoding object
+     */
+    virtual const UserBufferEncoding& getEncoding() const noexcept = 0;
+
+    /**
+      * @brief Gets a reference to the data encoding object of
+      *        the underlying buffer
+      *
+      * This is necessary when the UserBuffer is re-used, and the encoding
+      * parameters can change.  For example, each input can be quantized with
+      * different step sizes.
+      *
+      * @return Data encoding meta-data
+     */
+    virtual UserBufferEncoding& getEncoding() noexcept = 0;
+
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+}
+}
+
+#endif

third_party/snpe/include/DlSystem/IUserBufferFactory.hpp

@@ -0,0 +1,81 @@
+//=============================================================================
+//
+//  Copyright (c) 2017 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _IUSERBUFFER_FACTORY_HPP
+#define _IUSERBUFFER_FACTORY_HPP
+
+#include "IUserBuffer.hpp"
+#include "TensorShape.hpp"
+#include "ZdlExportDefine.hpp"
+#include "DlEnums.hpp"
+namespace zdl {
+    namespace DlSystem {
+        class IUserBuffer;
+
+        class TensorShape;
+    }
+}
+
+namespace zdl {
+namespace DlSystem {
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+* Factory interface class to create IUserBuffer objects.
+*/
+class ZDL_EXPORT IUserBufferFactory {
+public:
+    virtual ~IUserBufferFactory() = default;
+
+    /**
+     * @brief Creates a UserBuffer
+     *
+     * @param[in] buffer Pointer to the buffer that the caller supplies
+     *
+     * @param[in] bufSize Buffer size, in bytes
+     *
+     * @param[in] strides Total number of bytes between elements in each dimension.
+     *          E.g. A tightly packed tensor of floats with dimensions [4, 3, 2] would have strides of [24, 8, 4].
+     *
+     * @param[in] userBufferEncoding Reference to an UserBufferEncoding object
+     *
+     * @note Caller has to ensure that memory pointed to by buffer stays accessible
+     *       for the lifetime of the object created
+     */
+    virtual std::unique_ptr<IUserBuffer>
+    createUserBuffer(void *buffer, size_t bufSize, const zdl::DlSystem::TensorShape &strides, zdl::DlSystem::UserBufferEncoding* userBufferEncoding) noexcept = 0;
+
+    /**
+     * @brief Creates a UserBuffer
+     *
+     * @param[in] buffer Pointer to the buffer that the caller supplies
+     *
+     * @param[in] bufSize Buffer size, in bytes
+     *
+     * @param[in] strides Total number of bytes between elements in each dimension.
+     *          E.g. A tightly packed tensor of floats with dimensions [4, 3, 2] would have strides of [24, 8, 4].
+     *
+     * @param[in] userBufferEncoding Reference to an UserBufferEncoding object
+     *
+     * @param[in] userBufferSource Reference to an UserBufferSource object
+     *
+     * @note Caller has to ensure that memory pointed to by buffer stays accessible
+     *       for the lifetime of the object created
+     */
+    virtual std::unique_ptr<IUserBuffer>
+    createUserBuffer(void *buffer, size_t bufSize, const zdl::DlSystem::TensorShape &strides, zdl::DlSystem::UserBufferEncoding* userBufferEncoding, zdl::DlSystem::UserBufferSource* userBufferSource) noexcept = 0;
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+}
+}
+
+
+#endif

third_party/snpe/include/DlSystem/PlatformConfig.hpp

@@ -0,0 +1,230 @@
+//=============================================================================
+//
+//  Copyright (c) 2017-2018,2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef _DL_SYSTEM_PLATFORM_CONFIG_HPP_
+#define _DL_SYSTEM_PLATFORM_CONFIG_HPP_
+
+#include "DlSystem/ZdlExportDefine.hpp"
+#include <string>
+
+namespace zdl{
+namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+
+/**
+  * @brief .
+  *
+  * A structure OpenGL configuration
+  *
+  * @note When certain OpenGL context and display are provided to UserGLConfig for using
+  *       GPU buffer as input directly, the user MUST ensure the particular OpenGL
+  *       context and display remain vaild throughout the execution of neural network models.
+  */
+struct ZDL_EXPORT UserGLConfig
+{
+   /// Holds user EGL context.
+   ///
+   void* userGLContext = nullptr;
+
+   /// Holds user EGL display.
+   void* userGLDisplay = nullptr;
+};
+
+/**
+  * @brief .
+  *
+  * A structure Gpu configuration
+  */
+struct ZDL_EXPORT UserGpuConfig{
+   /// Holds user OpenGL configuration.
+   ///
+   UserGLConfig userGLConfig;
+};
+
+/**
+  * @brief .
+  *
+  * A class user platform configuration
+  */
+class ZDL_EXPORT PlatformConfig
+{
+public:
+
+   /**
+     * @brief .
+     *
+     * An enum class of all supported platform types
+     */
+   enum class PlatformType_t
+   {
+      /// Unknown platform type.
+      UNKNOWN = 0,
+
+      /// Snapdragon CPU.
+      CPU = 1,
+
+      /// Adreno GPU.
+      GPU = 2,
+
+      /// Hexagon DSP.
+      DSP = 3
+   };
+
+   /**
+     * @brief .
+     *
+     * A union class user platform configuration information
+     */
+   union PlatformConfigInfo
+   {
+      /// Holds user GPU Configuration.
+      ///
+      UserGpuConfig userGpuConfig;
+
+      PlatformConfigInfo(){};
+   };
+
+   PlatformConfig() : m_PlatformType(PlatformType_t::UNKNOWN),
+                      m_PlatformOptions("") {};
+
+   /**
+     * @brief Retrieves the platform type
+     *
+     * @return Platform type
+     */
+   PlatformType_t getPlatformType() const {return m_PlatformType;};
+
+   /**
+     * @brief Indicates whther the plaform configuration is valid.
+     *
+     * @return True if the platform configuration is valid; false otherwise.
+     */
+   bool isValid() const {return (PlatformType_t::UNKNOWN != m_PlatformType);};
+
+   /**
+     * @brief Retrieves the Gpu configuration
+     *
+     * @param[out] userGpuConfig The passed in userGpuConfig populated with the Gpu configuration on return.
+     *
+     * @return True if Gpu configuration was retrieved; false otherwise.
+     */
+   bool getUserGpuConfig(UserGpuConfig& userGpuConfig) const
+   {
+      if(m_PlatformType == PlatformType_t::GPU)
+      {
+         userGpuConfig = m_PlatformConfigInfo.userGpuConfig;
+         return true;
+      }
+      else
+      {
+         return false;
+      }
+   }
+
+   /**
+     * @brief Sets the Gpu configuration
+     *
+     * @param[in] userGpuConfig Gpu Configuration
+     *
+     * @return True if Gpu configuration was successfully set; false otherwise.
+     */
+   bool setUserGpuConfig(UserGpuConfig& userGpuConfig)
+   {
+      if((userGpuConfig.userGLConfig.userGLContext != nullptr) && (userGpuConfig.userGLConfig.userGLDisplay != nullptr))
+      {
+         switch (m_PlatformType)
+         {
+         case PlatformType_t::GPU:
+            m_PlatformConfigInfo.userGpuConfig = userGpuConfig;
+            return true;
+         case PlatformType_t::UNKNOWN:
+            m_PlatformType = PlatformType_t::GPU;
+            m_PlatformConfigInfo.userGpuConfig = userGpuConfig;
+            return true;
+         default:
+            return false;
+         }
+      }
+      else
+         return false;
+   }
+
+   /**
+     * @brief Sets the platform options
+     *
+     * @param[in] options Options as a string in the form of "keyword:options"
+     *
+     * @return True if options are pass validation; otherwise false.  If false, the options are not updated.
+     */
+   bool setPlatformOptions(std::string options) {
+      std::string oldOptions = m_PlatformOptions;
+      m_PlatformOptions = options;
+      if (isOptionsValid()) {
+         return true;
+      } else {
+         m_PlatformOptions = oldOptions;
+         return false;
+      }
+   }
+
+   /**
+     * @brief Indicates whther the plaform configuration is valid.
+     *
+     * @return True if the platform configuration is valid; false otherwise.
+     */
+   bool isOptionsValid() const;
+
+   /**
+     * @brief Gets the platform options
+     *
+     * @return Options as a string
+     */
+   std::string getPlatformOptions() const { return m_PlatformOptions; }
+
+    /**
+      * @brief Sets the platform options
+      *
+      * @param[in] optionName Name of platform options"
+      * @param[in] value Value of specified optionName
+      *
+      * @return If true, add "optionName:value" to platform options if optionName don't exist, otherwise update the
+      *         value of specified optionName.
+      *         If false, the platform options will not be changed.
+      */
+   bool setPlatformOptionValue(const std::string& optionName, const std::string& value);
+
+    /**
+       * @brief Removes the platform options
+       *
+       * @param[in] optionName Name of platform options"
+       * @param[in] value Value of specified optionName
+       *
+       * @return If true, removed "optionName:value" to platform options if optionName don't exist, do nothing.
+       *         If false, the platform options will not be changed.
+       */
+    bool removePlatformOptionValue(const std::string& optionName, const std::string& value);
+
+   static void SetIsUserGLBuffer(bool isUserGLBuffer);
+   static bool GetIsUserGLBuffer();
+
+private:
+   PlatformType_t m_PlatformType;
+   PlatformConfigInfo m_PlatformConfigInfo;
+   std::string m_PlatformOptions;
+   static bool m_IsUserGLBuffer;
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+}} //namespace end
+
+#endif

third_party/snpe/include/DlSystem/RuntimeList.hpp

@@ -0,0 +1,154 @@
+//=============================================================================
+//
+//  Copyright (c) 2019 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#include "ZdlExportDefine.hpp"
+#include "DlSystem/DlEnums.hpp"
+#include "DlSystem/StringList.hpp"
+#include <cstddef>
+#include <memory>
+
+#ifndef DL_SYSTEM_RUNTIME_LIST_HPP
+#define DL_SYSTEM_RUNTIME_LIST_HPP
+
+namespace DlSystem
+{
+   // Forward declaration of Runtime List implementation.
+   class RuntimeListImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+  * @brief .
+  *
+  * A class representing list of runtimes
+  */
+class ZDL_EXPORT RuntimeList final
+{
+public:
+
+    /**
+    * @brief .
+    *
+    * Creates a new runtime list
+    *
+    */
+   RuntimeList();
+
+   /**
+   * @brief .
+   *
+   * copy constructor.
+   * @param[in] other object to copy.
+   */
+   RuntimeList(const RuntimeList& other);
+
+   /**
+   * @brief .
+   *
+   * constructor with single Runtime_t object
+   * @param[in] Runtime_t object
+   */
+   RuntimeList(const zdl::DlSystem::Runtime_t& runtime);
+
+   /**
+    * @brief .
+    *
+    * assignment operator.
+    */
+   RuntimeList& operator=(const RuntimeList& other);
+
+   /**
+    * @brief .
+    *
+    * subscript operator.
+    */
+   Runtime_t& operator[](size_t index);
+
+   /**
+    * @brief Adds runtime to the end of the runtime list
+    *        order of precedence is former followed by latter entry
+    *
+    * @param[in] runtime to add
+    *
+    * Ruturns false If the runtime already exists
+    */
+   bool add(const zdl::DlSystem::Runtime_t& runtime);
+
+   /**
+    * @brief Removes the runtime from the list
+    *
+    * @param[in] runtime to be removed
+    *
+    * @note If the runtime is not found, nothing is done.
+    */
+   void remove(const zdl::DlSystem::Runtime_t runtime) noexcept;
+
+   /**
+    * @brief Returns the number of runtimes in the list
+    */
+   size_t size() const noexcept;
+
+   /**
+    * @brief Returns true if the list is empty
+    */
+   bool empty() const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Removes all runtime from the list
+    */
+   void clear() noexcept;
+
+   /**
+    * @brief .
+    *
+    * Returns a StringList of names from the runtime list in
+    * order of precedence
+    */
+   zdl::DlSystem::StringList getRuntimeListNames() const;
+
+   /**
+    * @brief .
+    *
+    * @param[in] runtime string
+    * Returns a Runtime enum corresponding to the in param string
+    *
+    */
+   static zdl::DlSystem::Runtime_t stringToRuntime(const char* runtimeStr);
+
+   /**
+    * @brief .
+    *
+    * @param[in] runtime
+    * Returns a string corresponding to the in param runtime enum
+    *
+    */
+   static const char* runtimeToString(const zdl::DlSystem::Runtime_t runtime);
+
+   ~RuntimeList();
+
+private:
+   void deepCopy(const RuntimeList &other);
+   std::unique_ptr<::DlSystem::RuntimeListImpl> m_RuntimeListImpl;
+};
+
+} // DlSystem namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // DL_SYSTEM_RUNTIME_LIST_HPP
+

third_party/snpe/include/DlSystem/String.hpp

@@ -0,0 +1,104 @@
+//=============================================================================
+//
+//  Copyright (c) 2017, 2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#ifndef PLATFORM_STANDARD_STRING_HPP
+#define PLATFORM_STANDARD_STRING_HPP
+
+#include <cstdio>
+#include <string>
+#include <ostream>
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl
+{
+namespace DlSystem
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * Class for wrapping char * as a really stripped down std::string replacement.
+ */
+class ZDL_EXPORT String final
+{
+public:
+   String() = delete;
+
+   /**
+    * Construct a string from std::string reference.
+    * @param str Reference to a std::string
+    */
+   explicit String(const std::string& str);
+
+   /**
+    * Construct a string from char* reference.
+    * @param a char*
+    */
+   explicit String(const char* str);
+
+   /**
+    * move constructor.
+    */
+   String(String&& other) noexcept;
+
+   /**
+    * copy constructor.
+    */
+   String(const String& other) = delete;
+
+   /**
+    * assignment operator.
+    */
+   String& operator=(const String&) = delete;
+
+   /**
+    * move assignment operator.
+    */
+   String& operator=(String&&) = delete;
+
+   /**
+    * class comparators
+    */
+   bool operator<(const String& rhs) const noexcept;
+   bool operator>(const String& rhs) const noexcept;
+   bool operator<=(const String& rhs) const noexcept;
+   bool operator>=(const String& rhs) const noexcept;
+   bool operator==(const String& rhs) const noexcept;
+   bool operator!=(const String& rhs) const noexcept;
+
+   /**
+    * class comparators against std::string
+    */
+   bool operator<(const std::string& rhs) const noexcept;
+   bool operator>(const std::string& rhs) const noexcept;
+   bool operator<=(const std::string& rhs) const noexcept;
+   bool operator>=(const std::string& rhs) const noexcept;
+   bool operator==(const std::string& rhs) const noexcept;
+   bool operator!=(const std::string& rhs) const noexcept;
+
+   const char* c_str() const noexcept;
+
+   ~String();
+private:
+
+   char* m_string;
+};
+
+/**
+ * overloaded << operator
+ */
+ZDL_EXPORT std::ostream& operator<<(std::ostream& os, const String& str) noexcept;
+
+} // DlSystem namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // PLATFORM_STANDARD_STRING_HPP

third_party/snpe/include/DlSystem/StringList.hpp

@@ -0,0 +1,107 @@
+//=============================================================================
+//
+//  Copyright (c) 2016 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#include <cstdio>
+#include "ZdlExportDefine.hpp"
+
+#ifndef DL_SYSTEM_STRINGLIST_HPP
+#define DL_SYSTEM_STRINGLIST_HPP
+
+namespace zdl
+{
+namespace DlSystem
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * Class for holding an order list of null-terminated ASCII strings.
+ */
+class ZDL_EXPORT StringList final
+{
+public:
+   StringList() {}
+
+   /**
+    * Construct a string list with some pre-allocated memory.
+    * @warning Contents of the list will be uninitialized
+    * @param[in] length Number of elements for which to pre-allocate space.
+    */
+   explicit StringList(size_t length);
+
+   /**
+    * Append a string to the list.
+    * @param[in] str Null-terminated ASCII string to append to the list.
+    */
+   void append(const char* str);
+
+   /**
+    * Returns the string at the indicated position,
+    *  or an empty string if the positions is greater than the size
+    *  of the list.
+    * @param[in] idx Position in the list of the desired string
+    */
+   const char* at(size_t idx) const noexcept;
+
+   /**
+    * Pointer to the first string in the list.
+    *  Can be used to iterate through the list.
+    */
+   const char** begin() const noexcept;
+
+   /**
+    * Pointer to one after the last string in the list.
+    *  Can be used to iterate through the list.
+    */
+   const char** end() const noexcept;
+
+   /**
+    * Return the number of valid string pointers held by this list.
+    */
+   size_t size() const noexcept;
+
+
+   /**
+    * assignment operator. 
+    */
+   StringList& operator=(const StringList&) noexcept;
+
+   /**
+    * copy constructor.
+    * @param[in] other object to copy.
+    */
+   StringList(const StringList& other);
+
+   /**
+    * move constructor.
+    * @param[in] other object to move.    
+    */
+   StringList(StringList&& other) noexcept;
+
+   ~StringList();
+private:
+   void copy(const StringList& other);
+
+   void resize(size_t length);
+
+   void clear();
+
+   static const char* s_Empty;
+   const char** m_Strings = nullptr;
+   const char** m_End = nullptr;
+   size_t       m_Size = 0;
+};
+
+} // DlSystem namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // DL_SYSTEM_STRINGLIST_HPP
+

third_party/snpe/include/DlSystem/TensorMap.hpp

@@ -0,0 +1,120 @@
+//=============================================================================
+//
+//  Copyright (c) 2016 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#include <memory>
+#include "ZdlExportDefine.hpp"
+#include "ITensor.hpp"
+#include "StringList.hpp"
+
+#ifndef DL_SYSTEM_TENSOR_MAP_HPP
+#define DL_SYSTEM_TENSOR_MAP_HPP
+
+namespace DlSystem
+{
+   // Forward declaration of tensor map implementation.
+   class TensorMapImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+  * @brief .
+  *
+  * A class representing the map of tensor.
+  */
+class ZDL_EXPORT TensorMap final
+{
+public:
+
+  /**
+   * @brief .
+   *
+   * Creates a new empty tensor map
+   */
+   TensorMap();
+
+  /**
+   * copy constructor.
+   * @param[in] other object to copy. 
+   */
+   TensorMap(const TensorMap& other);
+
+  /**
+    * assignment operator. 
+    */
+   TensorMap& operator=(const TensorMap& other);
+
+   /**
+    * @brief Adds a name and the corresponding tensor pointer
+    *        to the map
+    *
+    * @param[in] name The name of the tensor
+    * @param[out] tensor The pointer to the tensor
+    *
+    * @note If a tensor with the same name already exists, the
+    *       tensor is replaced with the existing tensor.
+    */
+   void add(const char *name, zdl::DlSystem::ITensor *tensor);
+
+   /**
+    * @brief Removes a mapping of tensor and its name by its name
+    *
+    * @param[in] name The name of tensor to be removed
+    *
+    * @note If no tensor with the specified name is found, nothing
+    *       is done.
+    */
+   void remove(const char *name) noexcept;
+
+   /**
+    * @brief Returns the number of tensors in the map
+    */
+   size_t size() const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Removes all tensors from the map
+    */
+   void clear() noexcept;
+
+   /**
+    * @brief Returns the tensor given its name.
+    *  
+    * @param[in] name The name of the tensor to get. 
+    *  
+    * @return nullptr if no tensor with the specified name is 
+    *         found; otherwise, a valid pointer to the tensor.
+    */
+   zdl::DlSystem::ITensor* getTensor(const char *name) const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Returns the names of all tensors
+    */
+   zdl::DlSystem::StringList getTensorNames() const;
+
+   ~TensorMap();
+private:
+   void swap(const TensorMap &other);
+   std::unique_ptr<::DlSystem::TensorMapImpl> m_TensorMapImpl;
+};
+
+} // DlSystem namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // DL_SYSTEM_TENSOR_MAP_HPP
+

third_party/snpe/include/DlSystem/TensorShape.hpp

@@ -0,0 +1,203 @@
+//=============================================================================
+//
+//  Copyright (c) 2016 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#include <initializer_list>
+#include <cstdio>
+#include <memory>
+#include <vector>
+#include "ZdlExportDefine.hpp"
+
+#ifndef DL_SYSTEM_TENSOR_SHAPE_HPP
+#define DL_SYSTEM_TENSOR_SHAPE_HPP
+
+namespace DlSystem
+{
+   // Forward declaration of tensor shape implementation.
+   class TensorShapeImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * Convenient typedef to represent dimension
+ */
+using Dimension = size_t;
+
+/**
+  * @brief .
+  *
+  * A class representing the shape of tensor. It is used at the
+  * time of creation of tensor.
+  */
+class ZDL_EXPORT TensorShape final
+{
+public:
+
+    /**
+    * @brief .
+    *
+    * Creates a new shape with a list of dims specified in
+    * initializer list fashion.
+    *
+    * @param[in] dims The dimensions are specified in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    *
+    */
+   TensorShape(std::initializer_list<Dimension> dims);
+
+   /**
+    * @brief .
+    *
+    * Creates a new shape with a list of dims specified in array
+    *
+    * @param[in] dims The dimensions are specified in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    *
+    * @param[in] size Size of the array.
+    *
+    */
+   TensorShape(const Dimension *dims, size_t size);
+
+    /**
+    * @brief .
+    *
+    * Creates a new shape with a vector of dims specified in
+    * vector fashion.
+    *
+    * @param[in] dims The dimensions are specified in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    * 
+    */   
+   TensorShape(std::vector<Dimension> dims);
+
+   /**
+   * @brief .
+   *   
+   * copy constructor.
+   * @param[in] other object to copy. 
+   */   
+   TensorShape(const TensorShape& other);
+
+   /**
+    * @brief .
+    *  
+    * assignment operator. 
+    */   
+   TensorShape& operator=(const TensorShape& other);
+
+    /**
+    * @brief .
+    *
+    * Creates a new shape with no dims. It can be extended later
+    * by invoking concatenate.
+    */
+   TensorShape();
+
+  /**
+    * @brief .
+    *
+    * Concatenates additional dimensions specified in 
+    * initializer list fashion to the existing dimensions. 
+    *
+    * @param[in] dims The dimensions are specified in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    *
+   */
+   void concatenate(std::initializer_list<Dimension> dims);
+
+   /**
+    * @brief .
+    *
+    * Concatenates additional dimensions specified in 
+    * the array to the existing dimensions. 
+    *
+    * @param[in] dims The dimensions are specified in which the last
+    * element of the vector represents the fastest varying
+    * dimension and the zeroth element represents the slowest
+    * varying, etc.
+    * 
+    * @param[in] size Size of the array.
+    *
+   */
+   void concatenate(const Dimension *dims, size_t size);
+
+  /**
+    * @brief .
+    *
+    * Concatenates an additional dimension to the existing
+    * dimensions.
+    *
+    * @param[in] dim The dimensions are specified in which the last element
+    * of the vector represents the fastest varying dimension and the
+    * zeroth element represents the slowest varying, etc.
+    *
+   */
+   void concatenate(const Dimension &dim);
+
+  /**
+    * @brief .
+    *
+    * Retrieves a single dimension, based on its index.
+    *
+    * @return The value of dimension
+    *
+    * @throws std::out_of_range if the index is >= the number of
+    * dimensions (or rank).
+    */
+   Dimension& operator[](size_t index);
+   Dimension& operator[](size_t index) const;
+
+  /**
+    * @brief .
+    *
+    * Retrieves the rank i.e. number of dimensions.
+    *
+    * @return The rank
+    */
+   size_t rank() const;
+
+  /**
+    * @brief .
+    *
+    * Retrieves a pointer to the first dimension of shape
+    *
+    * @return nullptr if no dimension exists; otherwise, points to
+    * the first dimension. 
+    *
+    */
+   const Dimension* getDimensions() const;
+
+   ~TensorShape();
+
+private:
+   void swap(const TensorShape &other);
+   std::unique_ptr<::DlSystem::TensorShapeImpl> m_TensorShapeImpl;
+};
+
+} // DlSystem namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // DL_SYSTEM_TENSOR_SHAPE_HPP
+

third_party/snpe/include/DlSystem/TensorShapeMap.hpp

@@ -0,0 +1,127 @@
+//=============================================================================
+//
+//  Copyright (c) 2017-2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#include <initializer_list>
+#include <cstdio>
+#include <memory>
+#include "ZdlExportDefine.hpp"
+#include "DlSystem/TensorShape.hpp"
+#include "DlSystem/StringList.hpp"
+
+#ifndef DL_SYSTEM_TENSOR_SHAPE_MAP_HPP
+#define DL_SYSTEM_TENSOR_SHAPE_MAP_HPP
+
+namespace DlSystem
+{
+   // Forward declaration of tensor shape map implementation.
+   class TensorShapeMapImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+  * @brief .
+  *
+  * A class representing the map of names and tensorshapes.
+  */
+class ZDL_EXPORT TensorShapeMap final
+{
+public:
+
+    /**
+    * @brief .
+    *
+    * Creates a new tensor shape map
+    *
+    */
+   TensorShapeMap();
+
+   /**
+   * @brief .
+   *
+   * copy constructor.
+   * @param[in] other object to copy.
+   */
+   TensorShapeMap(const TensorShapeMap& other);
+
+   /**
+    * @brief .
+    *
+    * assignment operator.
+    */
+   TensorShapeMap& operator=(const TensorShapeMap& other);
+
+   /**
+    * @brief Adds a name and the corresponding tensor pointer
+    *        to the map
+    *
+    * @param[in] name The name of the tensor
+    * @param[out] tensor The pointer to the tensor
+    *
+    * @note If a tensor with the same name already exists, no new
+    *       tensor is added.
+    */
+   void add(const char *name, const zdl::DlSystem::TensorShape& tensorShape);
+
+   /**
+    * @brief Removes a mapping of tensor and its name by its name
+    *
+    * @param[in] name The name of tensor to be removed
+    *
+    * @note If no tensor with the specified name is found, nothing
+    *       is done.
+    */
+   void remove(const char *name) noexcept;
+
+   /**
+    * @brief Returns the number of tensors in the map
+    */
+   size_t size() const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Removes all tensors from the map
+    */
+   void clear() noexcept;
+
+   /**
+    * @brief Returns the tensor given its name.
+    *
+    * @param[in] name The name of the tensor to get.
+    *
+    * @return nullptr if no tensor with the specified name is
+    *         found; otherwise, a valid pointer to the tensor.
+    */
+   zdl::DlSystem::TensorShape getTensorShape(const char *name) const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Returns the names of all tensor shapes
+    */
+   zdl::DlSystem::StringList getTensorShapeNames() const;
+
+   ~TensorShapeMap();
+private:
+   void swap(const TensorShapeMap &other);
+   std::unique_ptr<::DlSystem::TensorShapeMapImpl> m_TensorShapeMapImpl;
+};
+
+} // DlSystem namespace
+} // zdl namespace
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // DL_SYSTEM_TENSOR_SHAPE_MAP_HPP
+

third_party/snpe/include/DlSystem/UDLContext.hpp

@@ -0,0 +1,243 @@
+//==============================================================================
+//
+// Copyright (c) 2016-2021 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef UDL_CONTEXT_HPP
+#define UDL_CONTEXT_HPP
+
+#include <cstring> // memset
+#include <tuple>
+
+#include "ZdlExportDefine.hpp"
+
+namespace zdl { namespace DlSystem {
+
+/**
+ * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+ *
+ * @brief .
+ *
+ * UDLContext holds the user defined layer context which 
+ * consists of a layer name, layer ID, blob and blob size. 
+ *  
+ * An instance of UDLContext is passed as an argument to the
+ * UDLFactoryFunc provided by the user every time the SNPE 
+ * runtime encounters an unknown layer descriptor. The instance 
+ * of a UDLContext is created by the SNPE runtime and is 
+ * consumed by the user's factory function. The user should 
+ * obtain a copy of this class and should not assume any 
+ * prolonged object lifetime beyond the UDLFactoryFunction.
+ */
+class ZDL_EXPORT UDLContext final {
+public:
+   /**
+    * @brief Constructor
+    *
+    * @param[in] name name of the layer
+    *
+    * @param[in] type layer type
+    *
+    * @param[in] id identifier for the layer
+    *
+    * @param[in] id Blob/bytes as packed by the user code as part of
+    *           the Python converter script
+    */
+   UDLContext(const std::string& name,
+              const std::string& type,
+              int32_t id,
+              const std::string& blob) :
+      m_Name(name), m_Type(type), m_Size(blob.size()), m_Id(id) {
+      // FIXME not dealing with alloc error
+      m_Buffer = new uint8_t[m_Size];
+      std::memcpy(m_Buffer, blob.data(), m_Size);
+   }
+
+   /**
+    * @brief .
+    *
+    * Empty constructor is useful for
+    * creating an empty UDLContext and then run copy constructor
+    * from a fully initialized one.
+    */
+   explicit UDLContext() {}
+
+   /**
+    * @brief .
+    *
+    * destructor Deallocates any internal allocated memory
+    */
+   ~UDLContext() { release(); }
+
+   /**
+    * @brief .
+    *
+    * Deallocate any internally allocated memory
+    */
+   void release() {
+      if (m_Buffer && m_Size)
+         std::memset(m_Buffer, 0, m_Size);
+      delete []m_Buffer;
+      m_Buffer = nullptr;
+      m_Size = 0;
+   }
+
+   /**
+    * @brief .
+    *
+    * Copy Constructor - makes a copy from ctx
+    *
+    * @param[in] ctx Source UDLContext to copy from
+    */
+   UDLContext(const UDLContext& ctx) : m_Name(ctx.m_Name),
+      m_Type(ctx.m_Type),
+      m_Id(ctx.m_Id) {
+      std::tuple<uint8_t*, size_t> cpy = ctx.getCopy();
+      // current compiler does not support get<type>
+      m_Buffer = std::get<0>(cpy);
+      m_Size = std::get<1>(cpy);
+   }
+
+   /**
+    * @brief 
+    *
+    * Assignment operator - makes a copy from ctx
+    *
+    * @param[in] ctx Source UDLContext to copy from
+    *
+    * @return this
+    */
+   UDLContext& operator=(const UDLContext& ctx) {
+      UDLContext c (ctx);
+      this->swap(c); // non throwing swap
+      return *this;
+   }
+
+   /**
+    * @brief .
+    *
+    * Move Constructor - Move internals from ctx into this
+    *
+    * @param[in] ctx Source UDLContext to move from
+    */
+   UDLContext(UDLContext&& ctx) :
+      m_Name(std::move(ctx.m_Name)),
+      m_Type(std::move(ctx.m_Type)),
+      m_Buffer(ctx.m_Buffer),
+      m_Size(ctx.m_Size),
+      m_Id(ctx.m_Id) {
+      ctx.clear();
+   }
+
+   /**
+    * @brief .
+    *
+    * Assignment move - Move assignment operator from ctx
+    *
+    * @param[in] ctx Source UDLContext to move from
+    *
+    * @return this
+    */
+   UDLContext& operator=(UDLContext&& ctx) {
+      m_Name = std::move(ctx.m_Name);
+      m_Type = std::move(ctx.m_Type);
+      m_Buffer = ctx.m_Buffer;
+      m_Size = ctx.m_Size;
+      m_Id = ctx.m_Id;
+      ctx.clear();
+      return *this;
+   }
+
+   /**
+    * @brief .
+    *
+    * Obtain the name of the layer
+    *
+    * @return const reference to the name of the layer
+    */
+   const std::string& getName() const noexcept { return m_Name; }
+
+   /**
+    * @brief .
+    *
+    * Obtain the type of the layer
+    *
+    * @return const reference to the type of the layer
+    */
+   const std::string& getType() const noexcept { return m_Type; }
+
+   /**
+    * @brief .
+    *
+    * Obtain the Id of the layer
+    *
+    * @return The id of the layer
+    */
+   int32_t getId() const noexcept  { return m_Id; }
+
+   /**
+    * @brief .
+    *
+    * Obtain the size of the blob
+    *
+    * @return Size of the internal blob
+    */
+   size_t getSize() const noexcept { return m_Size; }
+
+   /**
+    * @brief .
+    *
+    * Get a const pointer to the internal blob
+    *
+    * @return Const pointer to the internal blob
+    */
+   const uint8_t* getBlob() const noexcept { return m_Buffer; }
+
+   /**
+    * @brief .
+    *
+    * Get a copy of the blob/size into a tuple
+    *
+    * @return A tuple with a pointer to a copy of the blob and a
+    *         size
+    */
+   std::tuple<uint8_t*, size_t> getCopy() const {
+      uint8_t* buf = new uint8_t[m_Size];
+      // FIXME missing memcpy
+      std::memcpy(buf, m_Buffer, m_Size);
+      return std::make_tuple(buf, m_Size);
+   }
+
+   /**
+    * @brief .
+    *
+    * Set zeros in the internals members
+    */
+   void clear() {
+      m_Name.clear();
+      m_Type.clear();
+      m_Buffer = 0;
+      m_Size = 0;
+      m_Id = -1;
+   }
+private:
+   void swap(UDLContext& c) noexcept {
+      std::swap(m_Name, c.m_Name);
+      std::swap(m_Type, c.m_Type);
+      std::swap(m_Id,   c.m_Id);
+      std::swap(m_Buffer, c.m_Buffer);
+      std::swap(m_Size, c.m_Size);
+   }
+   std::string m_Name; // name of the layer instance
+   std::string m_Type; // The actual layer type
+   uint8_t*    m_Buffer = nullptr;
+   size_t      m_Size = 0;
+   int32_t     m_Id = -1;
+};
+
+}}
+
+#endif /* UDL_CONTEXT_HPP */

third_party/snpe/include/DlSystem/UDLFunc.hpp

@@ -0,0 +1,87 @@
+//==============================================================================
+//
+//  Copyright (c) 2015-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _UDL_FUNC_HPP_
+#define _UDL_FUNC_HPP_
+
+#include <functional>
+
+#include "ZdlExportDefine.hpp"
+#include <DlSystem/IUDL.hpp>
+
+namespace zdl {
+    namespace DlSystem {
+        class UDLContext;
+    }
+}
+
+namespace zdl { namespace DlSystem {
+/**
+ * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+ *
+ * @brief .
+ *
+ * Definition of UDLFactoyFunc, using/typedef and default FactoryFunction
+ * UDLBundle - a simple way to bundle func and cookie into one type
+ */
+
+
+/**
+ * @brief .
+ * 
+ * Convenient typedef for user defined layer creation factory
+ *
+ * @param[out] void* Cookie - a user opaque data that was passed during SNPE's runtime's
+ *        CreateInstance. SNPE's runtime is passing this back to the user.
+ *
+ * @param[out] DlSystem::UDLContext* - The specific Layer Description context what is passe
+ *        SNPE runtime.
+ *
+ * @return IUDL* - a Concrete instance of IUDL derivative
+ */
+using UDLFactoryFunc = std::function<zdl::DlSystem::IUDL* (void*, const zdl::DlSystem::UDLContext*)>;
+
+/**
+ * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+ *
+ * @brief .
+ *
+ * default UDL factory implementation
+ *
+ * @param[out] DlSystem::UDLContext* - The specific Layer Description context what is passe
+ *        SNPE runtime.
+ *
+ * @param[out] void* Cookie - a user opaque data that was passed during SNPE's runtime's
+ *        CreateInstance. SNPE's runtime is passing this back to the user.
+ * 
+ * @return IUDL* - nullptr to indicate SNPE's runtime that there is no specific
+ *         implementation for UDL. When SNPE's runtime sees nullptr as a return
+ *         value from the factory, it will halt execution if model has an unknown layer
+ *
+ */
+inline ZDL_EXPORT zdl::DlSystem::IUDL* DefaultUDLFunc(void*, const zdl::DlSystem::UDLContext*) { return nullptr; }
+
+/**
+ * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE.
+ *
+ * @brief .
+ * 
+ * Simple struct to bundle 2 elements.
+ * A user defined cookie that would be returned for each
+ * IUDL call. The user can place anything there and the
+ * SNPE runtime will provide it back
+ */
+struct ZDL_EXPORT UDLBundle {
+   void          *cookie = nullptr;
+   UDLFactoryFunc func   = DefaultUDLFunc;
+};
+
+}}
+
+
+#endif // _UDL_FUNC_HPP_

third_party/snpe/include/DlSystem/UserBufferMap.hpp

@@ -0,0 +1,122 @@
+//=============================================================================
+//
+//  Copyright (c) 2017 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#include <memory>
+#include "ZdlExportDefine.hpp"
+#include "StringList.hpp"
+
+#ifndef DL_SYSTEM_USER_BUFFER_MAP_HPP
+#define DL_SYSTEM_USER_BUFFER_MAP_HPP
+
+namespace DlSystem
+{
+    // Forward declaration of UserBuffer map implementation.
+    class UserBufferMapImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+class IUserBuffer;
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+  * @brief .
+  *
+  * A class representing the map of UserBuffer.
+  */
+class ZDL_EXPORT UserBufferMap final
+{
+public:
+
+    /**
+     * @brief .
+     *
+     * Creates a new empty UserBuffer map
+     */
+    UserBufferMap();
+
+    /**
+     * copy constructor.
+     * @param[in] other object to copy.
+     */
+    UserBufferMap(const UserBufferMap& other);
+
+    /**
+      * assignment operator.
+      */
+    UserBufferMap& operator=(const UserBufferMap& other);
+
+    /**
+     * @brief Adds a name and the corresponding UserBuffer pointer
+     *        to the map
+     *
+     * @param[in] name The name of the UserBuffer
+     * @param[in] userBuffer The pointer to the UserBuffer
+     *
+     * @note If a UserBuffer with the same name already exists, the new
+     *       UserBuffer pointer would be updated.
+     */
+    void add(const char *name, zdl::DlSystem::IUserBuffer *buffer);
+
+    /**
+     * @brief Removes a mapping of one UserBuffer and its name by its name
+     *
+     * @param[in] name The name of UserBuffer to be removed
+     *
+     * @note If no UserBuffer with the specified name is found, nothing
+     *       is done.
+     */
+    void remove(const char *name) noexcept;
+
+    /**
+     * @brief Returns the number of UserBuffers in the map
+     */
+    size_t size() const noexcept;
+
+    /**
+     * @brief .
+     *
+     * Removes all UserBuffers from the map
+     */
+    void clear() noexcept;
+
+    /**
+     * @brief Returns the UserBuffer given its name.
+     *
+     * @param[in] name The name of the UserBuffer to get.
+     *
+     * @return nullptr if no UserBuffer with the specified name is
+     *         found; otherwise, a valid pointer to the UserBuffer.
+     */
+    zdl::DlSystem::IUserBuffer* getUserBuffer(const char *name) const noexcept;
+
+    /**
+     * @brief .
+     *
+     * Returns the names of all UserBuffers
+     *
+     * @return A list of UserBuffer names.
+     */
+    zdl::DlSystem::StringList getUserBufferNames() const;
+
+    ~UserBufferMap();
+private:
+    void swap(const UserBufferMap &other);
+    std::unique_ptr<::DlSystem::UserBufferMapImpl> m_UserBufferMapImpl;
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+} // DlSystem namespace
+} // zdl namespace
+
+
+#endif // DL_SYSTEM_TENSOR_MAP_HPP
+

third_party/snpe/include/DlSystem/UserMemoryMap.hpp

@@ -0,0 +1,129 @@
+//=============================================================================
+//
+//  Copyright (c) 2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+#include <memory>
+#include "ZdlExportDefine.hpp"
+#include "StringList.hpp"
+
+#ifndef DL_SYSTEM_USER_MEMORY_MAP_HPP
+#define DL_SYSTEM_USER_MEMORY_MAP_HPP
+
+namespace DlSystem
+{
+    // Forward declaration of UserMemory map implementation.
+    class UserMemoryMapImpl;
+}
+
+namespace zdl
+{
+namespace DlSystem
+{
+class IUserBuffer;
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+  * @brief .
+  *
+  * A class representing the map of UserMemory.
+  */
+class ZDL_EXPORT UserMemoryMap final
+{
+public:
+
+    /**
+     * @brief .
+     *
+     * Creates a new empty UserMemory map
+     */
+    UserMemoryMap();
+
+    /**
+     * copy constructor.
+     * @param[in] other object to copy.
+     */
+    UserMemoryMap(const UserMemoryMap& other);
+
+    /**
+      * assignment operator.
+      */
+    UserMemoryMap& operator=(const UserMemoryMap& other);
+
+    /**
+     * @brief Adds a name and the corresponding buffer address
+     *        to the map
+     *
+     * @param[in] name The name of the UserMemory
+     * @param[in] address The pointer to the Buffer Memory
+     *
+     * @note If a UserBuffer with the same name already exists, the new
+     *       address would be updated.
+     */
+    void add(const char *name, void *address);
+
+    /**
+     * @brief Removes a mapping of one Buffer address and its name by its name
+     *
+     * @param[in] name The name of Memory address to be removed
+     *
+     * @note If no UserBuffer with the specified name is found, nothing
+     *       is done.
+     */
+    void remove(const char *name) noexcept;
+
+    /**
+     * @brief Returns the number of User Memory addresses in the map
+     */
+    size_t size() const noexcept;
+
+    /**
+     * @brief .
+     *
+     * Removes all User Memory from the map
+     */
+    void clear() noexcept;
+
+    /**
+     * @brief .
+     *
+     * Returns the names of all User Memory
+     *
+     * @return A list of Buffer names.
+     */
+    zdl::DlSystem::StringList getUserBufferNames() const;
+
+    /**
+     * @brief Returns the no of UserMemory addresses mapped to the buffer
+     *
+     * @param[in] name The name of the UserMemory
+     *
+     */
+    size_t getUserMemoryAddressCount(const char *name) const noexcept;
+
+    /**
+     * @brief Returns address at a specified index corresponding to a UserMemory buffer name
+     *
+     * @param[in] name The name of the buffer
+     * @param[in] index The index in the list of addresses
+     *
+     */
+    void* getUserMemoryAddressAtIndex(const char *name, uint32_t index) const noexcept;
+
+    ~UserMemoryMap();
+private:
+    void swap(const UserMemoryMap &other);
+    std::unique_ptr<::DlSystem::UserMemoryMapImpl> m_UserMemoryMapImpl;
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+} // DlSystem namespace
+} // zdl namespace
+
+
+#endif // DL_SYSTEM_TENSOR_MAP_HPP
+

third_party/snpe/include/DlSystem/ZdlExportDefine.hpp

@@ -0,0 +1,13 @@
+//=============================================================================
+//
+//  Copyright (c) 2015, 2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//=============================================================================
+
+#pragma once
+
+#ifndef ZDL_EXPORT
+#define ZDL_EXPORT
+#endif

third_party/snpe/include/PlatformValidator/PlatformValidator.hpp

@@ -0,0 +1,118 @@
+// =============================================================================
+//
+// Copyright (c) 2018-2020 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+// =============================================================================
+
+#ifndef SNPE_PLATFORMVALIDATOR_HPP
+#define SNPE_PLATFORMVALIDATOR_HPP
+
+#include "DlSystem/DlEnums.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+
+#define DO_PRAGMA(s) _Pragma(#s)
+#define NO_WARNING "-Wunused-variable"
+
+#ifdef __clang__
+#define SNPE_DISABLE_WARNINGS(clang_warning,gcc_warning) \
+_Pragma("clang diagnostic push") \
+DO_PRAGMA(clang diagnostic ignored clang_warning)
+
+#define SNPE_ENABLE_WARNINGS \
+_Pragma("clang diagnostic pop")
+
+#elif defined __GNUC__
+#define SNPE_DISABLE_WARNINGS(clang_warning,gcc_warning) \
+_Pragma("GCC diagnostic push") \
+DO_PRAGMA(GCC diagnostic ignored gcc_warning)
+
+#define SNPE_ENABLE_WARNINGS \
+_Pragma("GCC diagnostic pop")
+
+#else
+#define SNPE_DISABLE_WARNINGS(...)
+#define SNPE_ENABLE_WARNINGS
+#endif
+
+SNPE_DISABLE_WARNINGS("-Wdelete-non-virtual-dtor","-Wdelete-non-virtual-dtor")
+#include <string>
+#include <memory>
+SNPE_ENABLE_WARNINGS
+
+namespace zdl
+{
+   namespace SNPE
+   {
+      class PlatformValidator;
+
+      class IPlatformValidatorRuntime;
+   }
+}
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+* The class for checking SNPE compatibility/capability of a device.
+*
+*/
+
+class ZDL_EXPORT zdl::SNPE::PlatformValidator
+{
+public:
+   /**
+    * @brief Default Constructor of the PlatformValidator Class
+    *
+    * @return A new instance of a PlatformValidator object
+    *         that can be used to check the SNPE compatibility
+    *         of a device
+    */
+   PlatformValidator();
+
+   ~PlatformValidator();
+
+   /**
+    * @brief Sets the runtime processor for compatibility check
+    *
+    * @return Void
+    */
+   void setRuntime(zdl::DlSystem::Runtime_t runtime);
+
+   /**
+    * @brief Checks if the Runtime prerequisites for SNPE are available.
+    *
+    * @return True if the Runtime prerequisites are available, else false.
+    */
+   bool isRuntimeAvailable();
+
+   /**
+    * @brief Returns the core version for the Runtime selected.
+    *
+    * @return String which contains the actual core version value
+    */
+   std::string getCoreVersion();
+
+   /**
+    * @brief Returns the library version for the Runtime selected.
+    *
+    * @return String which contains the actual lib version value
+    */
+   std::string getLibVersion();
+
+   /**
+    * @brief Runs a small program on the runtime and Checks if SNPE is supported for Runtime.
+    *
+    * @return If True, the device is ready for SNPE execution, else not.
+    */
+
+   bool runtimeCheck();
+
+private:
+    zdl::DlSystem::Runtime_t m_runtimeType;
+    std::unique_ptr<IPlatformValidatorRuntime> m_platformValidatorRuntime;
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif //SNPE_PLATFORMVALIDATOR_HPP

third_party/snpe/include/SNPE/ApplicationBufferMap.hpp

@@ -0,0 +1,101 @@
+//==============================================================================
+//
+//  Copyright (c) 2019 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef PSNPE_APPLICATIONBUFFERMAP_HPP
+#define PSNPE_APPLICATIONBUFFERMAP_HPP
+#include <vector>
+#include <string>
+#include <unordered_map>
+
+#include "DlSystem/UserBufferMap.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl
+{
+namespace PSNPE
+{
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * A class representing the UserBufferMap of Input and Output asynchronous mode.
+ */
+
+class ZDL_EXPORT ApplicationBufferMap final
+{
+
+ public:
+   /**
+    * @brief Adds a name and the corresponding buffer
+    *        to the map
+    *
+    * @param[in] name The name of the UserBuffer
+    * @param[in] buffer The vector of the uint8_t data
+    *
+    * @note If a UserBuffer with the same name already exists, the new
+    *       UserBuffer pointer would be updated.
+    */
+   void add(const char* name, std::vector<uint8_t>& buff) noexcept;
+   void add(const char* name, std::vector<float>& buff) noexcept;
+   /**
+    * @brief Removes a mapping of one UserBuffer and its name by its name
+    *
+    * @param[in] name The name of UserBuffer to be removed
+    *
+    * @note If no UserBuffer with the specified name is found, nothing
+    *       is done.
+    */
+   void remove(const char* name) noexcept;
+
+   /**
+    * @brief Returns the number of UserBuffers in the map
+    */
+   size_t size() const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Removes all UserBuffers from the map
+    */
+   void clear() noexcept;
+
+   /**
+    * @brief Returns the UserBuffer given its name.
+    *
+    * @param[in] name The name of the UserBuffer to get.
+    *
+    * @return nullptr if no UserBuffer with the specified name is
+    *         found; otherwise, a valid pointer to the UserBuffer.
+    */
+   const std::vector<uint8_t>& getUserBuffer(const char* name) const;
+   const std::vector<uint8_t>& operator[](const char* name) const;
+   /**
+    * @brief .
+    *
+    * Returns the names of all UserAsyncBufferMap
+    *
+    * @return A list of UserBuffer names.
+    */
+   zdl::DlSystem::StringList getUserBufferNames() const;
+   const std::unordered_map<std::string, std::vector<uint8_t>>& getUserBuffer() const;
+   explicit ApplicationBufferMap();
+   ~ApplicationBufferMap();
+   explicit ApplicationBufferMap(
+     const std::unordered_map<std::string, std::vector<uint8_t>> buffer);
+
+ private:
+   std::unordered_map<std::string, std::vector<uint8_t>> m_UserMap;
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+} // namespace PSNPE
+} // namespace zdl
+
+#endif // PSNPE_APPLICATIONBUFFERMAP_HPP

third_party/snpe/include/SNPE/PSNPE.hpp

@@ -0,0 +1,205 @@
+// =============================================================================
+//
+// Copyright (c) 2019-2021 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+// =============================================================================
+
+#ifndef PSNPE_HPP
+#define PSNPE_HPP
+
+#include <cstdlib>
+#include <functional>
+#include "SNPE/SNPE.hpp"
+#include "DlSystem/UserBufferMap.hpp"
+#include "DlContainer/IDlContainer.hpp"
+#include "DlSystem/DlEnums.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+
+#include "UserBufferList.hpp"
+#include "RuntimeConfigList.hpp"
+#include "ApplicationBufferMap.hpp"
+
+namespace zdl
+{
+namespace PSNPE
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ *@ brief build snpe instance in serial or parallel
+ *
+ */
+enum ZDL_EXPORT BuildMode {
+   SERIAL = 0,
+   PARALLEL = 1
+};
+/**
+ * @brief  Input and output transmission mode
+ */
+enum ZDL_EXPORT InputOutputTransmissionMode
+{
+   sync = 0,
+   outputAsync = 1,
+   inputOutputAsync = 2
+};
+
+/**
+ * @brief  A structure representing parameters of callback function of Async Output mode
+ */
+struct ZDL_EXPORT OutputAsyncCallbackParam
+{
+   size_t dataIndex;
+   bool executeStatus;
+   std::string errorMsg;
+   OutputAsyncCallbackParam(size_t _index,bool _status, const std::string& _errorMsg = std::string())
+     : dataIndex(_index),executeStatus(_status), errorMsg(_errorMsg){};
+};
+/**
+ * @brief  A structure representing parameters of callback function of Async Input/Output mode
+ */
+struct ZDL_EXPORT InputOutputAsyncCallbackParam
+{
+   size_t dataIndex;
+   const ApplicationBufferMap& outputMap;
+   bool executeStatus;
+   std::string errorMsg;
+   InputOutputAsyncCallbackParam(size_t _index, const ApplicationBufferMap& output_map,bool _status,
+                                 const std::string _ErrorMsg = std::string())
+     : dataIndex(_index)
+     , outputMap(output_map)
+     , executeStatus(_status)
+     , errorMsg(_ErrorMsg){};
+};
+/**
+ * @brief  This callback is called when the output data is ready, only use for Output Async mode
+ */
+using OutputAsyncCallbackFunc = std::function<void(OutputAsyncCallbackParam)>;
+/**
+ * @brief  This callback is called when the output data is ready, only use for Output-Input Async mode
+ */
+using InputOutputAsyncCallbackFunc = std::function<void(InputOutputAsyncCallbackParam)>;
+/**
+ * @brief   This callback is called when the input data is ready,only use for Output-Input Async mode 
+ */
+using InputOutputAsyncInputCallback = std::function<std::shared_ptr<ApplicationBufferMap>(const std::vector<std::string> &,
+    const zdl::DlSystem::StringList &)>;
+/**
+ * @brief .
+ *
+ * A structure PSNPE configuration
+ *
+ */
+struct ZDL_EXPORT BuildConfig final
+{
+   BuildMode buildMode = BuildMode::SERIAL; ///< Specify build in serial mode or parallel mode
+   zdl::DlContainer::IDlContainer* container;///< The opened container ptr
+   zdl::DlSystem::StringList outputBufferNames;///< Specify the output layer name
+   zdl::DlSystem::StringList outputTensors;///< Specify the output layer name
+   RuntimeConfigList runtimeConfigList;///< The runtime config list for PSNPE, @see RuntimeConfig
+   size_t inputThreadNumbers = 1;///< Specify the number of threads used in the execution phase to process input data, only used in inputOutputAsync mode
+   size_t outputThreadNumbers = 1;///< Specify the number of threads used in the execution phase to process output data, only used in inputOutputAsync and outputAsync mode
+   OutputAsyncCallbackFunc outputCallback;///< The callback to deal with output data ,only used in outputAsync mode
+   InputOutputAsyncCallbackFunc inputOutputCallback;///< The callback to deal with output data ,only used in inputOutputAsync mode
+   InputOutputAsyncInputCallback inputOutputInputCallback;///< The callback to deal with input data ,only used in inputOutputAsync mode
+   InputOutputTransmissionMode inputOutputTransmissionMode = InputOutputTransmissionMode::sync;///< Specify execution mode
+   zdl::DlSystem::ProfilingLevel_t profilingLevel = zdl::DlSystem::ProfilingLevel_t::OFF;///< Specify profiling level for Diaglog
+   uint64_t encode[2] = {0, 0};
+   bool enableInitCache = false;
+   std::string platformOptions;
+   std::string diaglogOutputDir = "./diaglogs/"; ///< Specify a diaglog output directory to save the generated Diaglog files.
+};
+/**
+ * @brief .
+ *
+ * The class for executing SNPE instances in parallel.
+ */
+class ZDL_EXPORT PSNPE final
+{
+ public:
+   ~PSNPE();
+
+   explicit PSNPE() noexcept :m_TransmissionMode(InputOutputTransmissionMode::sync){};
+
+   /**
+    * @brief Build snpe instances.
+    *
+    */
+   bool build(BuildConfig& buildConfig) noexcept;
+
+   /**
+    * @brief Execute snpe instances in Async Output mode and Sync mode
+    *
+    * @param[in] inputBufferList A list of user buffers that contains the input data
+    *
+    * @param[in,out] outputBufferList A list of user buffers that will hold the output data
+    *
+    */
+   bool execute(UserBufferList& inputBufferList, UserBufferList& outputBufferList) noexcept;
+
+   /**
+    * @brief  Execute snpe instances in Async Input/Output mode
+    *
+    * @param[in]inputMap A map of input buffers that contains input data. The names of buffers
+    *                     need to be matched with names retrived through getInputTensorNames()
+    *
+    * @param dataIndex Index of the input data
+    *
+    * @param isTF8buff Whether prefer to using 8 bit quantized element for inference
+    *
+    * @return True if executed successfully; flase, otherwise.
+    */
+   bool executeInputOutputAsync(const std::vector<std::string>& inputMap, size_t dataIndex, bool isTF8buff) noexcept;
+   bool executeInputOutputAsync(const std::vector<std::string>& inputMap, size_t dataIndex, bool isTF8buff,bool isTF8Outputbuff) noexcept;
+   /**
+    * @brief Returns the input layer names of the network.
+    *
+    * @return StringList which contains the input layer names
+    */
+   const zdl::DlSystem::StringList getInputTensorNames() const noexcept;
+
+   /**
+    * @brief Returns the output layer names of the network.
+    *
+    * @return StringList which contains the output layer names
+    */
+   const zdl::DlSystem::StringList getOutputTensorNames() const noexcept;
+
+   /**
+    * @brief Returns the input tensor dimensions of the network.
+    *
+    * @return TensorShape which contains the dimensions.
+    */
+   const zdl::DlSystem::TensorShape getInputDimensions() const noexcept;
+
+   const zdl::DlSystem::TensorShape getInputDimensions(const char *name) const noexcept;
+
+   /**
+    * @brief Returns attributes of buffers.
+    *
+    * @see zdl::SNPE
+    *
+    * @return BufferAttributes of input/output tensor named.
+    */
+   const zdl::DlSystem::TensorShape getBufferAttributesDims(const char *name) const noexcept;
+
+   zdl::DlSystem::Optional<zdl::DlSystem::IBufferAttributes*> getInputOutputBufferAttributes(const char *name) const noexcept;
+   bool registerIonBuffers(const zdl::DlSystem::UserMemoryMap& ionBufferMap) const noexcept;
+   bool deregisterIonBuffers(const zdl::DlSystem::StringList& ionBufferNames) const noexcept;
+
+   const char* getLastErrorString();
+
+ private:
+   PSNPE(const PSNPE&) = delete;
+   PSNPE& operator=(const PSNPE&) = delete;
+   zdl::PSNPE::InputOutputTransmissionMode m_TransmissionMode;
+
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+} // namespace PSNPE
+} // namespace zdl
+#endif // PSNPE_HPP

third_party/snpe/include/SNPE/RuntimeConfigList.hpp

@@ -0,0 +1,85 @@
+//==============================================================================
+//
+//  Copyright (c) 2019-2020 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+#ifndef PSNPE_RUNTIMECONFIGLIST_HPP
+#define PSNPE_RUNTIMECONFIGLIST_HPP
+
+#include <iostream>
+#include "DlContainer/IDlContainer.hpp"
+#include "DlSystem/DlEnums.hpp"
+#include "DlSystem/RuntimeList.hpp"
+#include "DlSystem/TensorShapeMap.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+namespace zdl {
+namespace PSNPE {
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * The structure for configuring a BulkSNPE runtime
+ *
+ */
+struct ZDL_EXPORT RuntimeConfig final {
+    zdl::DlSystem::Runtime_t runtime;
+    zdl::DlSystem::RuntimeList runtimeList;
+    zdl::DlSystem::PerformanceProfile_t perfProfile;
+    zdl::DlSystem::TensorShapeMap inputDimensionsMap;
+    bool enableCPUFallback;
+    RuntimeConfig()
+        : runtime{zdl::DlSystem::Runtime_t::CPU_FLOAT32},
+          perfProfile{zdl::DlSystem::PerformanceProfile_t::HIGH_PERFORMANCE},
+          enableCPUFallback{false} {}
+    RuntimeConfig(const RuntimeConfig& other) {
+        runtime = other.runtime;
+        runtimeList = other.runtimeList;
+        perfProfile = other.perfProfile;
+        enableCPUFallback = other.enableCPUFallback;
+        inputDimensionsMap = other.inputDimensionsMap;
+    }
+
+    RuntimeConfig& operator=(const RuntimeConfig& other) {
+        this->runtimeList = other.runtimeList;
+        this->runtime = other.runtime;
+        this->perfProfile = other.perfProfile;
+        this->enableCPUFallback = other.enableCPUFallback;
+        this->inputDimensionsMap = other.inputDimensionsMap;
+        return *this;
+    }
+
+    ~RuntimeConfig() {}
+};
+
+/**
+ * @brief .
+ *
+ * The class for creating a RuntimeConfig container.
+ *
+ */
+class ZDL_EXPORT RuntimeConfigList final {
+   public:
+    RuntimeConfigList();
+    RuntimeConfigList(const size_t size);
+    void push_back(const RuntimeConfig& runtimeConfig);
+    RuntimeConfig& operator[](const size_t index);
+    RuntimeConfigList& operator=(const RuntimeConfigList& other);
+    size_t size() const noexcept;
+    size_t capacity() const noexcept;
+    void clear() noexcept;
+    ~RuntimeConfigList() = default;
+
+   private:
+    void swap(const RuntimeConfigList& other);
+    std::vector<RuntimeConfig> m_runtimeConfigs;
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+}  // namespace PSNPE
+}  // namespace zdl
+#endif  // PSNPE_RUNTIMECONFIGLIST_HPP

third_party/snpe/include/SNPE/SNPE.hpp

@@ -0,0 +1,258 @@
+//==============================================================================
+//
+//  Copyright (c) 2015-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _SNPE_SNPE_HPP_
+#define _SNPE_SNPE_HPP_
+
+#include "DlSystem/DlOptional.hpp"
+#include "DlSystem/DlVersion.hpp"
+#include "DlSystem/IBufferAttributes.hpp"
+#include "DlSystem/ITensor.hpp"
+#include "DlSystem/TensorShape.hpp"
+#include "DlSystem/TensorMap.hpp"
+#include "DlSystem/String.hpp"
+#include "DlSystem/StringList.hpp"
+#include "DlSystem/IUserBuffer.hpp"
+#include "DlSystem/UserBufferMap.hpp"
+#include "DlSystem/UserMemoryMap.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl {
+   namespace SNPE
+   {
+      class SnpeRuntime;
+   }
+}
+namespace zdl {
+   namespace DiagLog
+   {
+      class IDiagLog;
+   }
+}
+
+namespace zdl { namespace SNPE {
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief .
+ *
+ * The SNPE interface class definition
+ */
+class ZDL_EXPORT SNPE final
+{
+public:
+
+   // keep this undocumented to be hidden in doxygen using HIDE_UNDOC_MEMBERS
+   explicit SNPE(std::unique_ptr<zdl::SNPE::SnpeRuntime>&& runtime) noexcept;
+   ~SNPE();
+
+   /**
+    * @brief Gets the names of input tensors to the network
+    *
+    * To support multiple input scenarios, where multiple tensors are
+    * passed through execute() in a TensorMap, each tensor needs to
+    * be uniquely named. The names of tensors can be retrieved
+    * through this function.
+    *
+    * In the case of a single input, one name will be returned.
+    *
+    * @note Note that because the returned value is an Optional list,
+    * the list must be verified as boolean true value before being
+    * dereferenced.
+    *
+    * @return An Optional List of input tensor names.
+    *
+    * @see zdl::DlSystem::Optional
+    */
+   zdl::DlSystem::Optional<zdl::DlSystem::StringList>
+      getInputTensorNames() const noexcept;
+
+    /**
+     * @brief Gets the names of output tensors to the network
+     *
+     * @return List of output tensor names.
+     */
+   zdl::DlSystem::Optional<zdl::DlSystem::StringList>
+      getOutputTensorNames() const noexcept;
+
+   /**
+    * @brief Gets the name of output tensor from the input layer name
+    *
+    * @return Output tensor name.
+    */
+   zdl::DlSystem::StringList
+      getOutputTensorNamesByLayerName(const char *name) const noexcept;
+
+   /**
+    * @brief Processes the input data and returns the output
+    *
+    * @param[in] A map of tensors that contains the input data for
+    *            each input. The names of tensors needs to be
+    *            matched with names retrieved through
+    *            getInputTensorNames()
+    *
+    * @param[in,out] An empty map of tensors that will contain the output
+    *                data of potentially multiple layers (the key
+    *                in the map is the layer name) upon return
+    *
+    * @note output tensormap has to be empty.  To forward propagate
+    *       and get results in user-supplied tensors, use
+    *       executeWithSuppliedOutputTensors.
+    */
+   bool execute(const zdl::DlSystem::TensorMap &input,
+                zdl::DlSystem::TensorMap &output) noexcept;
+
+   /**
+    * @brief Processes the input data and returns the output
+    *
+    * @param[in] A single tensor contains the input data.
+    *
+    * @param[in,out] An empty map of tensors that will contain the output
+    *                data of potentially multiple layers (the key
+    *                in the map is the layer name) upon return
+    *
+    * @note output tensormap has to be empty.
+    */
+   bool execute(const zdl::DlSystem::ITensor *input,
+                zdl::DlSystem::TensorMap &output) noexcept;
+
+   /**
+    * @brief Processes the input data and returns the output, using
+    *        user-supplied buffers
+    *
+    * @param[in] A map of UserBuffers that contains the input data for
+    *            each input. The names of UserBuffers needs to be
+    *            matched with names retrieved through
+    *            getInputTensorNames()
+    *
+    * @param[in,out] A map of UserBuffers that will hold the output
+    *                data of potentially multiple layers (the key
+    *                in the map is the UserBuffer name)
+    *
+    * @note input and output UserBuffer maps must be fully pre-populated. with
+    *       dimensions matching what the network expects.
+    *       For example, if there are 5 output UserBuffers they all have to be
+    *       present in map.
+    *
+    *       Caller must guarantee that for the duration of execute(), the buffer
+    *       stored in UserBuffer would remain valid.  For more detail on buffer
+    *       ownership and lifetime requirements, please refer to zdl::DlSystem::UserBuffer
+    *       documentation.
+    */
+   bool execute(const zdl::DlSystem::UserBufferMap &input,
+                const zdl::DlSystem::UserBufferMap &output) noexcept;
+
+
+    /**
+    * @brief Regiter Client ION Buffers
+    * @param[in] A UserMemoryMap of virtual addresses
+    *
+    */
+   bool registerIonBuffers(const zdl::DlSystem::UserMemoryMap& ionBufferMap) noexcept;
+
+    /**
+    * @brief Regiter Client ION Buffers
+    * @param[in] A StringList of ION Buffer names
+    *
+    */
+   bool deregisterIonBuffers(const zdl::DlSystem::StringList& ionBufferNames) noexcept;
+
+    /**
+    * @brief Returns the version string embedded at model conversion
+    * time.
+    *
+    * @return Model version string, which is a free-form string
+    *         supplied at the time of the conversion
+    *
+    */
+   zdl::DlSystem::String getModelVersion() const noexcept;
+
+   /**
+    * @brief Returns the dimensions of the input data to the model in the
+    * form of TensorShape. The dimensions in TensorShape corresponds to
+    * what the tensor dimensions would need to be for an input tensor to
+    * the model.
+    *
+    * @param[in] layer input name.
+    *
+    * @note Note that this function only makes sense for networks 
+    *       that have a fixed input size. For networks in which the
+    *       input size varies with each call of Execute(), this
+    *       function should not be used.
+    *
+    * @note Because the returned type is an Optional instance, it must
+    *       be verified as a boolean true value before being dereferenced.
+    * 
+    * @return An Optional instance of TensorShape that maintains dimensions,
+    *         matching the tensor dimensions for input to the model,
+    *         where the last entry is the fastest varying dimension, etc.
+    *  
+    * @see zdl::DlSystem::ITensor
+    * @see zdl::DlSystem::TensorShape
+    * @see zdl::DlSystem::Optional
+    */
+   zdl::DlSystem::Optional<zdl::DlSystem::TensorShape>
+      getInputDimensions() const noexcept;
+   zdl::DlSystem::Optional<zdl::DlSystem::TensorShape>
+      getInputDimensions(const char *name) const noexcept;
+
+   /**
+    * @brief Gets the output layer(s) for the network. 
+    *  
+    * Note that the output layers returned by this function may be 
+    * different than those specified when the network was created 
+    * via the zdl::SNPE::SNPEBuilder. For example, if the
+    * network was created in debug mode with no explicit output 
+    * layers specified, this will contain all layers.
+    *
+    * @note Note that because the returned value is an Optional StringList,
+    * the list must be verified as a boolean true value before being
+    * dereferenced.
+    *
+    * @return A List of output layer names.
+    *
+    * @see zdl::DlSystem::Optional
+    */
+   zdl::DlSystem::Optional<zdl::DlSystem::StringList>
+      getOutputLayerNames() const noexcept;
+
+   /**
+     * @brief Returns attributes of buffers used to feed input tensors and receive result from output tensors.
+     *
+     * @param[in] Tensor name.
+     *
+     * @return BufferAttributes of input/output tensor named
+     */
+   zdl::DlSystem::Optional<zdl::DlSystem::IBufferAttributes*> getInputOutputBufferAttributes(const char *name) const noexcept;
+
+   /**
+    * @brief .
+    *
+    * Get the diagnostic logging interface
+    *
+    * @note Note that because the returned type is an Optional instance,
+    * it must be verified as a boolean true value before being
+    * dereferenced.
+    *
+    * @see zdl::DlSystem::Optional
+    */
+   zdl::DlSystem::Optional<zdl::DiagLog::IDiagLog*>
+      getDiagLogInterface() noexcept;
+
+private:
+   SNPE(const SNPE&) = delete;
+   SNPE& operator=(const SNPE&) = delete;
+
+   std::unique_ptr<SnpeRuntime> m_Runtime;
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+}}
+
+#endif

third_party/snpe/include/SNPE/SNPEBuilder.hpp

@@ -0,0 +1,306 @@
+//==============================================================================
+//
+//  Copyright (c) 2017-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _SNPE_BUILDER_HPP_
+#define _SNPE_BUILDER_HPP_
+
+#include "SNPE/SNPE.hpp"
+#include "DlSystem/DlEnums.hpp"
+#include "DlSystem/UDLFunc.hpp"
+#include "DlSystem/DlOptional.hpp"
+#include "DlSystem/TensorShapeMap.hpp"
+#include "DlSystem/PlatformConfig.hpp"
+#include "DlSystem/IOBufferDataTypeMap.hpp"
+#include "DlSystem/RuntimeList.hpp"
+
+namespace zdl {
+   namespace DlContainer
+   {
+      class IDlContainer;
+   }
+}
+
+struct SNPEBuilderImpl;
+
+
+namespace zdl { namespace SNPE {
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * The builder class for creating SNPE objects.
+ * Not meant to be extended.
+ */
+class ZDL_EXPORT SNPEBuilder final
+{
+private:
+   std::unique_ptr<::SNPEBuilderImpl> m_Impl;
+public:
+
+   /**
+    * @brief Constructor of NeuralNetwork Builder with a supplied model.
+    *
+    * @param[in] container A container holding the model.
+    *
+    * @return A new instance of a SNPEBuilder object
+    *         that can be used to configure and build
+    *         an instance of SNPE.
+    *
+    */
+   explicit SNPEBuilder(
+      zdl::DlContainer::IDlContainer* container);
+   ~SNPEBuilder();
+
+   /**
+    * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE. Please use
+    *       setRuntimeProcessorOrder()
+    *
+    * @brief Sets the runtime processor.
+    *
+    * @param[in] targetRuntimeProcessor The target runtime.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setRuntimeProcessor(
+      zdl::DlSystem::Runtime_t targetRuntimeProcessor);
+
+   /**
+    * @brief Requests a performance profile.
+    *
+    * @param[in] targetRuntimeProfile The target performance profile.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setPerformanceProfile(
+      zdl::DlSystem::PerformanceProfile_t performanceProfile);
+
+   /**
+    * @brief Sets the profiling level. Default profiling level for
+    *        SNPEBuilder is off. Off and basic only applies to DSP runtime.
+    *
+    * @param[in] profilingLevel The target profiling level.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setProfilingLevel(
+      zdl::DlSystem::ProfilingLevel_t profilingLevel);
+
+    /**
+     * @brief Sets a preference for execution priority.
+     *
+     * This allows the caller to give coarse hint to SNPE runtime
+     * about the priority of the network.  SNPE runtime is free to use
+     * this information to co-ordinate between different workloads
+     * that may or may not extend beyond SNPE.
+     *
+     * @param[in] ExecutionPriorityHint_t The target performance profile.
+     *
+     * @return The current instance of SNPEBuilder.
+     */
+   SNPEBuilder& setExecutionPriorityHint(
+            zdl::DlSystem::ExecutionPriorityHint_t priority);
+
+    /**
+    * @brief Sets the layers that will generate output.
+    *
+    * @param[in] outputLayerNames List of layer names to
+    *                             output. An empty list will
+    *                             result in only the final
+    *                             layer of the model being
+    *                             the output layer.  The list
+    *                             will be copied.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setOutputLayers(
+      const zdl::DlSystem::StringList& outputLayerNames);
+
+   /**
+   * @brief Sets the output tensor names.
+   *
+   * @param[in] outputTensorNames List of tensor names to
+   *                             output. An empty list will
+   *                             result in producing output for the final
+   *                             output tensor of the model.
+   *                             The list will be copied.
+   *
+   * @return The current instance of SNPEBuilder.
+   */
+   SNPEBuilder& setOutputTensors(
+      const zdl::DlSystem::StringList& outputTensorNames);
+
+   /**
+    * @brief Passes in a User-defined layer.
+    *
+    * @param udlBundle Bundle of udl factory function and a cookie
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setUdlBundle(
+      zdl::DlSystem::UDLBundle udlBundle);
+
+   /**
+    * @brief Sets whether this neural network will perform inference with
+    *        input from user-supplied buffers, and write output to user-supplied
+    *        buffers.  Default behaviour is to use tensors created by
+    *        ITensorFactory.
+    *
+    * @param[in] bufferMode Whether to use user-supplied buffer or not.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setUseUserSuppliedBuffers(
+      bool bufferMode);
+
+    /**
+    * @brief Sets the debug mode of the runtime.
+    *
+    * @param[in] debugMode This enables debug mode for the runtime. It
+    *                      does two things. For an empty
+    *                      outputLayerNames list, all layers will be
+    *                      output. It might also disable some internal
+    *                      runtime optimizations (e.g., some networks
+    *                      might be optimized by combining layers,
+    *                      etc.).
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setDebugMode(
+      bool debugMode);
+
+   /**
+    * NOTE: DEPRECATED, MAY BE REMOVED IN THE FUTURE. Please use
+    *       setRuntimeProcessorOrder()
+    *
+    * @brief Sets the mode of CPU fallback functionality.
+    *
+    * @param[in] mode   This flag enables/disables the functionality
+    *                   of CPU fallback. When the CPU fallback
+    *                   functionality is enabled, layers in model that
+    *                   violates runtime constraints will run on CPU
+    *                   while the rest of non-violating layers will
+    *                   run on the chosen runtime processor. In
+    *                   disabled mode, models with layers violating
+    *                   runtime constraints will NOT run on the chosen
+    *                   runtime processor and will result in runtime
+    *                   exception. By default, the functionality is
+    *                   enabled.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setCPUFallbackMode(
+      bool mode);
+
+
+   /**
+    * @brief Sets network's input dimensions to enable resizing of
+    *        the spatial dimensions of each layer for fully convolutional networks,
+    *        and the batch dimension for all networks.
+    *
+    * @param[in] tensorShapeMap The map of input names and their new dimensions.
+    *                           The new dimensions overwrite the input dimensions
+    *                           embedded in the model and then resize each layer
+    *                           of the model. If the model contains
+    *                           layers whose dimensions cannot be resized e.g FullyConnected,
+    *                           exception will be thrown when SNPE instance is actually built.
+    *                           In general the batch dimension is always resizable.
+    *                           After resizing of layers' dimensions in model based
+    *                           on new input dimensions, the new model is revalidated
+    *                           against all runtime constraints, whose failures may
+    *                           result in cpu fallback situation.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setInputDimensions(const zdl::DlSystem::TensorShapeMap& inputDimensionsMap);
+
+   /**
+    * @brief Sets the mode of init caching functionality.
+    *
+    * @param[in] mode   This flag enables/disables the functionality of init caching.
+    *                   When init caching functionality is enabled, a set of init caches
+    *                   will be created during network building/initialization process
+    *                   and will be added to DLC container. If such DLC container is saved
+    *                   by the user, in subsequent network building/initialization processes
+    *                   these init caches will be loaded from the DLC so as to reduce initialization time.
+    *                   In disable mode, no init caches will be added to DLC container.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setInitCacheMode(
+      bool cacheMode);
+
+   /**
+    * @brief Returns an instance of SNPE based on the current parameters.
+    *
+    * @return A new instance of a SNPE object that can be used
+    *         to execute models or null if any errors occur.
+    */
+   std::unique_ptr<SNPE> build() noexcept;
+
+   /**
+    * @brief Sets the platform configuration.
+    *
+    * @param[in] platformConfig The platform configuration.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setPlatformConfig(const zdl::DlSystem::PlatformConfig& platformConfig);
+
+   /**
+    * @brief Sets network's runtime order of precedence. Example:
+    *        CPU_FLOAT32, GPU_FLOAT16, AIP_FIXED8_TF
+    *        Note:- setRuntimeProcessor() or setCPUFallbackMode() will be silently ignored when
+    *        setRuntimeProcessorOrder() is invoked
+    *
+    * @param[in] runtimeList The list of runtime in order of precedence
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setRuntimeProcessorOrder(const zdl::DlSystem::RuntimeList& runtimeList);
+
+    /**
+    * @brief Sets the unconsumed tensors as output
+    *
+    * @param[in] setOutput This enables unconsumed tensors (i.e)
+    *                      outputs which are not inputs to any
+    *                      layer (basically dead ends) to be marked
+    *                      for output
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setUnconsumedTensorsAsOutputs(
+      bool setOutput);
+
+    /**
+    * @brief Execution terminated when exceeding time limit.
+    *        Only valid for dsp runtime currently.
+    *
+    * @param[in] timeout Time limit value
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setTimeOut(
+      uint64_t timeout);
+
+
+   /**
+    * @brief Sets the datatype of the buffer.
+    *        Only valid for dsp runtime currently.
+    *
+    * @param[in] Map of the buffer names and the datatype that needs to be set.
+    *
+    * @return The current instance of SNPEBuilder.
+    */
+   SNPEBuilder& setBufferDataType(const zdl::DlSystem::IOBufferDataTypeMap& dataTypeMap);
+
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+}}
+
+#endif

third_party/snpe/include/SNPE/SNPEFactory.hpp

@@ -0,0 +1,220 @@
+//==============================================================================
+//
+//  Copyright (c) 2015-2021 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef _SNPE_FACTORY_HPP_
+#define _SNPE_FACTORY_HPP_
+
+#include "SNPE/SNPE.hpp"
+#include "DlSystem/DlEnums.hpp"
+#include "DlSystem/UDLFunc.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+#include "DlSystem/DlOptional.hpp"
+
+namespace zdl {
+   namespace DlSystem
+   {
+      class ITensorFactory;
+      class IUserBufferFactory;
+   }
+   namespace DlContainer
+   {
+      class IDlContainer;
+   }
+}
+
+
+
+namespace zdl { namespace SNPE {
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * The factory class for creating SNPE objects.
+ *
+ */
+class ZDL_EXPORT SNPEFactory
+{
+public:
+
+   /**
+    * Indicates whether the supplied runtime is available on the
+    * current platform.
+    *
+    * @param[in] runtime The target runtime to check.
+    *
+    * @return True if the supplied runtime is available; false,
+    *         otherwise.
+    */
+   static bool isRuntimeAvailable(zdl::DlSystem::Runtime_t runtime);
+
+   /**
+    * Indicates whether the supplied runtime is available on the
+    * current platform.
+    *
+    * @param[in] runtime The target runtime to check.
+    *
+    * @param[in] option Extent to perform runtime available check.
+    *
+    * @return True if the supplied runtime is available; false,
+    *         otherwise.
+    */
+   static bool isRuntimeAvailable(zdl::DlSystem::Runtime_t runtime,
+                                  zdl::DlSystem::RuntimeCheckOption_t option);
+
+   /**
+    * Gets a reference to the tensor factory.
+    *
+    * @return A reference to the tensor factory.
+    */
+   static zdl::DlSystem::ITensorFactory& getTensorFactory();
+
+   /**
+    * Gets a reference to the UserBuffer factory.
+    *
+    * @return A reference to the UserBuffer factory.
+    */
+   static zdl::DlSystem::IUserBufferFactory& getUserBufferFactory();
+
+   /**
+    * Gets the version of the SNPE library.
+    *
+    * @return Version of the SNPE library.
+    *
+    */
+   static zdl::DlSystem::Version_t getLibraryVersion();
+
+   /**
+    * Set the SNPE storage location for all SNPE instances in this
+    * process. Note that this may only be called once, and if so
+    * must be called before creating any SNPE instances.
+    *
+    * @param[in] storagePath Absolute path to a directory which SNPE may
+    *  use for caching and other storage purposes.
+    *
+    * @return True if the supplied path was succesfully set as
+    *  the SNPE storage location, false otherwise.
+    */
+   static bool setSNPEStorageLocation(const char* storagePath);
+
+   /**
+    * @brief Register a user-defined op package with SNPE.
+    *
+    * @param[in] regLibraryPath Path to the registration library
+    *                      that allows clients to register a set of operations that are
+    *                      part of the package, and share op info with SNPE
+    *
+    * @return True if successful, False otherwise.
+    */
+   static bool addOpPackage( const std::string& regLibraryPath );
+
+   /**
+    * Indicates whether the OpenGL and OpenCL interoperability is supported
+    * on GPU platform.
+    *
+    * @return True if the OpenGL and OpenCl interop is supported; false,
+    *         otherwise.
+    */
+   static bool isGLCLInteropSupported();
+
+   static const char* getLastError();
+
+   /**
+    * Initializes logging with the specified log level.
+    * initializeLogging with level, is used on Android platforms
+    * and after successful initialization, SNPE
+    * logs are printed in android logcat logs.
+    *
+    * It is recommended to initializeLogging before creating any
+    * SNPE instances, in order to capture information related to
+    * core initialization. If this is called again after first
+    * time initialization, subsequent calls are ignored.
+    * Also, Logging can be re-initialized after a call to
+    * terminateLogging API by calling initializeLogging again.
+    *
+    * A typical usage of Logging life cycle can be
+    * initializeLogging()
+    *        any other SNPE API like isRuntimeAvailable()
+    * * setLogLevel() - optional - can be called anytime
+    *         between initializeLogging & terminateLogging
+    *		  SNPE instance creation, inference, destroy
+    * terminateLogging().
+    *
+    * Please note, enabling logging can have performance impact.
+    *
+    * @param[in] LogLevel_t Log level (LOG_INFO, LOG_WARN, etc.).
+    *
+    * @return True if successful, False otherwise.
+    */
+   static bool initializeLogging(const zdl::DlSystem::LogLevel_t& level);
+
+   /**
+    * Initializes logging with the specified log level and log path.
+    * initializeLogging with level & log path, is used on non Android
+    * platforms and after successful initialization, SNPE
+    * logs are printed in std output & into log files created in the
+    * log path.
+    *
+    * It is recommended to initializeLogging before creating any
+    * SNPE instances, in order to capture information related to
+    * core initialization. If this is called again after first
+    * time initialization, subsequent calls are ignored.
+    * Also, Logging can be re-initialized after a call to
+    * terminateLogging API by calling initializeLogging again.
+    *
+    * A typical usage of Logging life cycle can be
+    * initializeLogging()
+    *        any other SNPE API like isRuntimeAvailable()
+    * * setLogLevel() - optional - can be called anytime
+    *         between initializeLogging & terminateLogging
+    *		  SNPE instance creation, inference, destroy
+    * terminateLogging()
+    *
+    * Please note, enabling logging can have performance impact
+    *
+    * @param[in] LogLevel_t Log level (LOG_INFO, LOG_WARN, etc.).
+    *
+    * @param[in] Path of directory to store logs.
+    *      If path is empty, the default path is "./Log".
+    *      For android, the log path is ignored.
+    *
+    * @return True if successful, False otherwise.
+    */
+   static bool initializeLogging(const zdl::DlSystem::LogLevel_t& level, const std::string& logPath);
+
+   /**
+    * Updates the current logging level with the specified level.
+    * setLogLevel is optional, called anytime after initializeLogging
+    * and before terminateLogging, to update the log level set.
+    * Log levels can be updated multiple times by calling setLogLevel
+    * A call to setLogLevel() is ignored if it is made before
+    * initializeLogging() or after terminateLogging()
+    *
+    * @param[in] LogLevel_t Log level (LOG_INFO, LOG_WARN, etc.).
+    *
+    * @return True if successful, False otherwise.
+    */
+   static bool setLogLevel(const zdl::DlSystem::LogLevel_t& level);
+
+   /**
+    * Terminates logging.
+    *
+    * It is recommended to terminateLogging after initializeLogging
+    * in order to disable logging information.
+    * If this is called before initialization or after first time termination,
+    * calls are ignored.
+    *
+    * @return True if successful, False otherwise.
+    */
+   static bool terminateLogging(void);
+};
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+}}
+
+
+#endif

third_party/snpe/include/SNPE/UserBufferList.hpp

@@ -0,0 +1,49 @@
+//==============================================================================
+//
+//  Copyright (c) 2019 Qualcomm Technologies, Inc.
+//  All Rights Reserved.
+//  Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+#ifndef PSNPE_USERBUFFERLIST_HPP
+#define PSNPE_USERBUFFERLIST_HPP
+
+#include <vector>
+#include "DlSystem/UserBufferMap.hpp"
+#include "DlSystem/ZdlExportDefine.hpp"
+
+namespace zdl {
+namespace PSNPE
+{
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+/**
+* @brief .
+*
+* The class for creating a UserBufferMap container.
+*
+*/
+class ZDL_EXPORT UserBufferList final
+{
+public:
+   UserBufferList();
+   UserBufferList(const size_t size);
+   void push_back(const zdl::DlSystem::UserBufferMap &userBufferMap);
+   zdl::DlSystem::UserBufferMap& operator[](const size_t index);
+   UserBufferList& operator =(const UserBufferList &other);
+   size_t size() const noexcept;
+   size_t capacity() const noexcept;
+   void clear() noexcept;
+   ~UserBufferList() = default;
+
+private:
+   void swap(const UserBufferList &other);
+   std::vector<zdl::DlSystem::UserBufferMap> m_userBufferMaps;
+
+};
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+} // namespace PSNPE
+} // namespace zdl
+#endif //PSNPE_USERBUFFERLIST_HPP

third_party/snpe/include/SnpeUdo/UdoBase.h

@@ -0,0 +1,537 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2021 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef SNPE_UDO_BASE_H
+#define SNPE_UDO_BASE_H
+
+#include <stdint.h>
+
+// Provide values to use for API version.
+#define API_VERSION_MAJOR 1
+#define API_VERSION_MINOR 6
+#define API_VERSION_TEENY 0
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+// Defines a bitmask of enum values.
+typedef uint32_t SnpeUdo_Bitmask_t;
+typedef SnpeUdo_Bitmask_t Udo_Bitmask_t;
+
+// A string of characters, rather than an array of bytes.
+// Assumed to be UTF-8.
+typedef char* SnpeUdo_String_t;
+typedef SnpeUdo_String_t Udo_String_t;
+
+// The maximum allowable length of a SnpeUdo_String_t in bytes,
+// including null terminator. SNPE will truncate strings longer
+// than this.
+#define SNPE_UDO_MAX_STRING_SIZE 1024
+
+/**
+  * An enum which holds the various error types.
+  * The error types are divided to classes :
+  * 0 - 99    : generic errors
+  * 100 - 200 : errors related to configuration
+  *
+  */
+typedef enum
+{
+   /// No Error
+   SNPE_UDO_NO_ERROR                    = 0,          UDO_NO_ERROR                    = 0,
+   /// Unsupported value for core type
+   SNPE_UDO_WRONG_CORE                  = 1,          UDO_WRONG_CORE                  = 1,
+   /// Invalid attribute/argument passed into UDO API
+   SNPE_UDO_INVALID_ARGUMENT            = 2,          UDO_INVALID_ARGUMENT            = 2,
+   /// Unsupported feature error
+   SNPE_UDO_UNSUPPORTED_FEATURE         = 3,          UDO_UNSUPPORTED_FEATURE         = 3,
+   /// Error relating to memory allocation
+   SNPE_UDO_MEM_ALLOC_ERROR             = 4,          UDO_MEM_ALLOC_ERROR             = 4,
+   /* Configuration Specific errors */
+   /// No op with given attributes available in library
+   SNPE_UDO_WRONG_OPERATION             = 100,        UDO_WRONG_OPERATION             = 100,
+   /// Unsupported value for core type in UDO configuration
+   SNPE_UDO_WRONG_CORE_TYPE             = 101,        UDO_WRONG_CORE_TYPE             = 101,
+   /// Wrong number of params in UDO definition
+   SNPE_UDO_WRONG_NUM_OF_PARAMS         = 102,        UDO_WRONG_NUM_OF_PARAMS         = 102,
+   /// Wrong number of dimensions for tensor(s) in UDO definition
+   SNPE_UDO_WRONG_NUM_OF_DIMENSIONS     = 103,        UDO_WRONG_NUM_OF_DIMENSIONS     = 103,
+   /// Wrong number of input tensors in UDO definition
+   SNPE_UDO_WRONG_NUM_OF_INPUTS         = 104,        UDO_WRONG_NUM_OF_INPUTS         = 104,
+   /// Wrong number of output tensors in UDO definition
+   SNPE_UDO_WRONG_NUM_OF_OUTPUTS        = 105,        UDO_WRONG_NUM_OF_OUTPUTS        = 105,
+   SNPE_UDO_PROGRAM_CACHE_NOT_FOUND     = 106,        UDO_PROGRAM_CACHE_NOT_FOUND     = 106,
+   SNPE_UDO_UNKNOWN_ERROR               = 0xFFFFFFFF, UDO_UNKNOWN_ERROR               = 0xFFFFFFFF
+} SnpeUdo_ErrorType_t;
+
+typedef SnpeUdo_ErrorType_t Udo_ErrorType_t;
+
+/**
+  * An enum which holds the various data types.
+  * Designed to be used as single values or combined into a bitfield parameter
+  * (0x1, 0x2, 0x4, etc)
+  * \n FIXED_XX types are targeted for data in tensors.
+  * \n UINT / INT types are targeted for scalar params
+  */
+typedef enum
+{
+   /// data type: 16-bit floating point
+   SNPE_UDO_DATATYPE_FLOAT_16       = 0x01,        UDO_DATATYPE_FLOAT_16       = 0x01,
+   /// data type: 32-bit floating point
+   SNPE_UDO_DATATYPE_FLOAT_32       = 0x02,        UDO_DATATYPE_FLOAT_32       = 0x02,
+   /// data type: 4-bit fixed point
+   SNPE_UDO_DATATYPE_FIXED_4        = 0x04,        UDO_DATATYPE_FIXED_4        = 0x04,
+   /// data type: 8-bit fixed point
+   SNPE_UDO_DATATYPE_FIXED_8        = 0x08,        UDO_DATATYPE_FIXED_8        = 0x08,
+   /// data type: 16-bit fixed point
+   SNPE_UDO_DATATYPE_FIXED_16       = 0x10,        UDO_DATATYPE_FIXED_16       = 0x10,
+   /// data type: 32-bit fixed point
+   SNPE_UDO_DATATYPE_FIXED_32       = 0x20,        UDO_DATATYPE_FIXED_32       = 0x20,
+   /// data type: 8-bit unsigned integer
+   SNPE_UDO_DATATYPE_UINT_8         = 0x100,       UDO_DATATYPE_UINT_8         = 0x100,
+   /// data type: 16-bit unsigned integer
+   SNPE_UDO_DATATYPE_UINT_16        = 0x200,       UDO_DATATYPE_UINT_16        = 0x200,
+   /// data type: 32-bit unsigned integer
+   SNPE_UDO_DATATYPE_UINT_32        = 0x400,       UDO_DATATYPE_UINT_32        = 0x400,
+   /// data type: 8-bit signed integer
+   SNPE_UDO_DATATYPE_INT_8          = 0x1000,      UDO_DATATYPE_INT_8          = 0x1000,
+   /// data type: 16-bit signed integer
+   SNPE_UDO_DATATYPE_INT_16         = 0x2000,      UDO_DATATYPE_INT_16         = 0x2000,
+   /// data type: 32-bit signed integer
+   SNPE_UDO_DATATYPE_INT_32         = 0x4000,      UDO_DATATYPE_INT_32         = 0x4000,
+   SNPE_UDO_DATATYPE_LAST           = 0xFFFFFFFF,  UDO_DATATYPE_LAST           = 0xFFFFFFFF
+} SnpeUdo_DataType_t;
+
+typedef SnpeUdo_DataType_t Udo_DataType_t;
+
+/**
+  * An enum which holds the various layouts.
+  * Designed to be used as single values or combined into a bitfield parameter
+  * (0x1, 0x2, 0x4, etc)
+  */
+typedef enum
+{
+   /// data layout (4D): NHWC (batch-height-width-channel)
+   SNPE_UDO_LAYOUT_NHWC             = 0x01,        UDO_LAYOUT_NHWC             = 0x01,
+   /// data layout (4D): NCHW (batch-channel-height-width)
+   SNPE_UDO_LAYOUT_NCHW             = 0x02,        UDO_LAYOUT_NCHW             = 0x02,
+   /// data layout (5D): NDHWC (batch-dimension-height-width-channel)
+   SNPE_UDO_LAYOUT_NDHWC            = 0x04,        UDO_LAYOUT_NDHWC            = 0x04,
+   SNPE_UDO_LAYOUT_GPU_OPTIMAL1     = 0x08,        UDO_LAYOUT_GPU_OPTIMAL1     = 0x08,
+   SNPE_UDO_LAYOUT_GPU_OPTIMAL2     = 0x10,        UDO_LAYOUT_GPU_OPTIMAL2     = 0x10,
+   SNPE_UDO_LAYOUT_DSP_OPTIMAL1     = 0x11,        UDO_LAYOUT_DSP_OPTIMAL1     = 0x11,
+   SNPE_UDO_LAYOUT_DSP_OPTIMAL2     = 0x12,        UDO_LAYOUT_DSP_OPTIMAL2     = 0x12,
+   // Indicates no data will be allocated for this tensor.
+   // Used to specify optional inputs/outputs positionally.
+   SNPE_UDO_LAYOUT_NULL             = 0x13,        UDO_LAYOUT_NULL             = 0x13,
+   SNPE_UDO_LAYOUT_LAST             = 0xFFFFFFFF,  UDO_LAYOUT_LAST             = 0xFFFFFFFF
+} SnpeUdo_TensorLayout_t;
+
+typedef SnpeUdo_TensorLayout_t Udo_TensorLayout_t;
+
+/**
+  * An enum which holds the UDO library Core type .
+  * Designed to be used as single values or combined into a bitfield parameter
+  * (0x1, 0x2, 0x4, etc)
+  */
+typedef enum
+{
+   /// Library target IP Core is undefined
+   SNPE_UDO_CORETYPE_UNDEFINED   = 0x00,          UDO_CORETYPE_UNDEFINED   = 0x00,
+   /// Library target IP Core is CPU
+   SNPE_UDO_CORETYPE_CPU         = 0x01,          UDO_CORETYPE_CPU         = 0x01,
+   /// Library target IP Core is GPU
+   SNPE_UDO_CORETYPE_GPU         = 0x02,          UDO_CORETYPE_GPU         = 0x02,
+   /// Library target IP Core is DSP
+   SNPE_UDO_CORETYPE_DSP         = 0x04,          UDO_CORETYPE_DSP         = 0x04,
+   SNPE_UDO_CORETYPE_LAST        = 0xFFFFFFFF,    UDO_CORETYPE_LAST        = 0xFFFFFFFF
+} SnpeUdo_CoreType_t;
+
+typedef SnpeUdo_CoreType_t Udo_CoreType_t;
+
+/**
+  * An enum to specify the parameter type : Scalar or Tensor
+  */
+typedef enum
+{
+   /// UDO static param type: scalar
+   SNPE_UDO_PARAMTYPE_SCALAR = 0x00,         UDO_PARAMTYPE_SCALAR = 0x00,
+   /// UDO static param type: string
+   SNPE_UDO_PARAMTYPE_STRING = 0x01,         UDO_PARAMTYPE_STRING = 0x01,
+   /// UDO static param type: tensor
+   SNPE_UDO_PARAMTYPE_TENSOR = 0x02,         UDO_PARAMTYPE_TENSOR = 0x02,
+   SNPE_UDO_PARAMTYPE_LAST   = 0xFFFFFFFF,   UDO_PARAMTYPE_LAST   = 0xFFFFFFFF
+} SnpeUdo_ParamType_t;
+
+typedef SnpeUdo_ParamType_t Udo_ParamType_t;
+
+/**
+  * An enum to specify quantization type
+  */
+typedef enum
+{
+   /// Tensor Quantization type: NONE. Signifies unquantized tensor data
+   SNPE_UDO_QUANTIZATION_NONE   = 0x00,         UDO_QUANTIZATION_NONE   = 0x00,
+   /// Tensor Quantization type: Tensorflow-style
+   SNPE_UDO_QUANTIZATION_TF     = 0x01,         UDO_QUANTIZATION_TF     = 0x01,
+   SNPE_UDO_QUANTIZATION_QMN    = 0x02,         UDO_QUANTIZATION_QMN    = 0x02,
+   SNPE_UDO_QUANTIZATION_LAST   = 0xFFFFFFFF,   UDO_QUANTIZATION_LAST   = 0xFFFFFFFF
+} SnpeUdo_QuantizationType_t;
+
+typedef SnpeUdo_QuantizationType_t Udo_QuantizationType_t;
+
+/**
+ * @brief A struct which is used to provide a version number using 3 values : major, minor, teeny
+ *
+ */
+typedef struct
+{
+   /// version field: major - for backward-incompatible changes
+   uint32_t major;
+   /// version field: minor - for backward-compatible feature updates
+   uint32_t minor;
+   /// version field: teeny - for minor bug-fixes and clean-up
+   uint32_t teeny;
+} SnpeUdo_Version_t;
+
+typedef SnpeUdo_Version_t Udo_Version_t;
+
+/**
+ * @brief A struct returned from version query, contains the Library version and API version
+ *
+ */
+typedef struct
+{
+   /// Version of UDO library. Controlled by users
+   SnpeUdo_Version_t libVersion;
+   /// Version of SNPE UDO API used in compiling library. Determined by SNPE
+   SnpeUdo_Version_t apiVersion;
+} SnpeUdo_LibVersion_t;
+
+/**
+ * @brief A struct returned from version query, contains the package version
+ *
+ */
+typedef struct
+{
+   /// Version of UDO API used in package.
+   Udo_Version_t apiVersion;
+} Udo_PkgVersion_t;
+
+/**
+ * @brief A union to hold the value of a generic type. Allows defining a parameter struct
+ * in a generic way, with a "value" location that holds the data regardless of the type.
+ *
+ */
+typedef union
+{
+   /// value type: float
+   float    floatValue;
+   /// value type: unsigned 32-bit integer
+   uint32_t uint32Value;
+   /// value type: signed 32-bit integer
+   int32_t  int32Value;
+   /// value type: unsigned 16-bit integer
+   uint16_t uint16Value;
+   /// value type: signed 16-bit integer
+   int16_t  int16Value;
+   /// value type: unsigned 8-bit integer
+   uint8_t  uint8Value;
+   /// value type: signed 8-bit integer
+   int8_t   int8Value;
+} SnpeUdo_Value_t;
+
+typedef SnpeUdo_Value_t Udo_Value_t;
+
+/**
+ * @brief A struct which defines a scalar parameter : name, data type, and union of values
+ *
+ */
+typedef struct
+{
+   /// The parameter data type : float, int, etc.
+   SnpeUdo_DataType_t  dataType;
+   /// a union of specified type which holds the data
+   SnpeUdo_Value_t dataValue;
+} SnpeUdo_ScalarParam_t;
+
+typedef SnpeUdo_ScalarParam_t Udo_ScalarParam_t;
+
+/**
+ * @brief A struct which defines the quantization parameters in case of Tensorflow style quantization
+ *
+ */
+typedef struct
+{
+   /// minimum value of the quantization range of data
+   float minValue;
+   /// maximum value of the quantization range of data
+   float maxValue;
+} SnpeUdo_TFQuantize_t;
+
+typedef SnpeUdo_TFQuantize_t Udo_TFQuantize_t;
+
+/**
+ * @brief A struct which defines the quantization type, and union of supported quantization structs
+ *
+ */
+typedef struct
+{
+   /// quantization type (only TF-style currently supported)
+   SnpeUdo_QuantizationType_t quantizeType;
+   union
+   {
+     /// TF-style min-max quantization ranges
+     SnpeUdo_TFQuantize_t TFParams;
+   };
+} SnpeUdo_QuantizeParams_t;
+
+typedef SnpeUdo_QuantizeParams_t Udo_QuantizeParams_t;
+
+/**
+ * @brief A struct which defines the datatype associated with a specified core-type
+ * This should be used to denote the datatypes for a single tensor info, depending
+ * on the intended execution core.
+ *
+ */
+typedef struct
+{
+    /// The IP Core
+    SnpeUdo_CoreType_t     coreType;
+    /// The associated datatype for this coreType
+    SnpeUdo_DataType_t       dataType;
+} SnpeUdo_PerCoreDatatype_t;
+
+typedef SnpeUdo_PerCoreDatatype_t Udo_PerCoreDatatype_t;
+
+/**
+ * @brief A struct which defines a tensor parameter : name, data type, layout, quantization, more.
+ *        Also holds a pointer to the tensor data.
+ *
+ */
+typedef struct
+{
+   /// The maximum allowable dimensions of the tensor. The memory held in
+   /// _tensorData_ is guaranteed to be large enough for this.
+   uint32_t*                maxDimensions;
+   /// The current dimensions of the tensor. An operation may modify the current
+   /// dimensions of its output, to indicate cases where the output has been
+   /// "resized".
+   /// Note that for static parameters, the current and max dimensions must
+   /// match.
+   uint32_t*                currDimensions;
+   /// Quantization params applicable to the tensor. Currently only supports
+   /// Tensorflow quantization style.
+   SnpeUdo_QuantizeParams_t quantizeParams;
+   /// Number of dimensions to the tensor: 3D, 4D, etc.
+   uint32_t                 tensorRank;
+   /// The parameter data type: float, int, etc.
+   SnpeUdo_DataType_t       dataType;
+   /// The tensor layout type: NCHW, NHWC, etc.
+   SnpeUdo_TensorLayout_t   layout;
+   /// Opaque pointer to tensor data. User may be required to re-interpret the pointer
+   /// based on core-specific definitions.
+   void*                    tensorData;
+} SnpeUdo_TensorParam_t;
+
+typedef SnpeUdo_TensorParam_t Udo_TensorParam_t;
+
+/**
+ * @brief A struct which defines tensor information for activation tensors only
+ *
+ * It describes an activation tensor object using its name, the intended layout and the datatype
+ * it will take depending on the intended runtime core. The repeated field indicates that
+ * that the tensor info describes several input/output activation tensors, which all share the
+ * aforementioned properties.
+ */
+typedef struct
+{
+    /// The tensor name
+    SnpeUdo_String_t    tensorName;
+    /// The tensor layout type: NCHW, NHWC, etc.
+    SnpeUdo_TensorLayout_t   layout;
+    /// The per core datatype: {SNPE_UDO_DATATYPE, SNPE_UDO_CORE_TYPE}
+    SnpeUdo_PerCoreDatatype_t* perCoreDatatype;
+    /// A boolean field indicating that this tensorinfo will be repeated e.x for ops such as Concat or Split
+    bool repeated;
+    /// A boolean field indicating whether input is static or not.
+    bool isStatic;
+} SnpeUdo_TensorInfo_t;
+
+typedef SnpeUdo_TensorInfo_t Udo_TensorInfo_t;
+
+/**
+ * @brief struct which defines a UDO parameter - a union of scalar, tensor and string parameters
+ *
+ */
+typedef struct
+{
+   /// Type is scalar or tensor
+  SnpeUdo_ParamType_t paramType;
+  /// The param name, for example : "offset", "activation_type"
+  SnpeUdo_String_t    paramName;
+  union
+  {
+    /// scalar param value
+    SnpeUdo_ScalarParam_t scalarParam;
+    /// tensor param value
+    SnpeUdo_TensorParam_t tensorParam;
+    /// string param value
+    SnpeUdo_String_t      stringParam;
+  };
+} SnpeUdo_Param_t;
+
+typedef SnpeUdo_Param_t Udo_Param_t;
+
+/**
+ * @brief A struct which defines Operation information which is specific for IP core (CPU, GPU, DSP ...)
+ *
+ */
+typedef struct
+{
+   /// The IP Core
+   SnpeUdo_CoreType_t     udoCoreType;
+   /// Bitmask, defines supported internal calculation types (like FLOAT_32, etc)
+   /// Based on SnpeUdo_DataType
+   SnpeUdo_Bitmask_t      operationCalculationTypes;
+} SnpeUdo_OpCoreInfo_t;
+
+typedef SnpeUdo_OpCoreInfo_t Udo_OpCoreInfo_t;
+
+/**
+ * @brief A struct which defines the common and core-specific Operation information
+ *
+ */
+typedef struct
+{
+   /// Operation type
+   SnpeUdo_String_t      operationType;
+   /// A bitmask describing which IP Cores (CPU, GPU, DSP ...) support this operation
+   /// Translated based on SnpeUdo_CoreType
+   SnpeUdo_Bitmask_t     supportedByCores;
+   /// Number of static parameters defined by the op
+   uint32_t              numOfStaticParams;
+   /// Array of static parameters. Can be scalar or tensor params
+   SnpeUdo_Param_t*      staticParams;
+   /// Number of input tensors this op receives
+   uint32_t              numOfInputs;
+   /// Array of input tensor names to this operation
+   SnpeUdo_String_t*      inputNames;
+   /// Number of output tensors this op receives
+   uint32_t              numOfOutputs;
+   /// Array of output tensor names to this operation
+   SnpeUdo_String_t*      outputNames;
+   /// Number of cores that the op can execute on
+   uint32_t              numOfCoreInfo;
+   /// Array of per-core information entries
+   SnpeUdo_OpCoreInfo_t* opPerCoreInfo;
+    /// Array of input tensor infos for this operation
+   SnpeUdo_TensorInfo_t*     inputInfos;
+   /// Array of output tensor infos for this operation
+   SnpeUdo_TensorInfo_t*     outputInfos;
+} SnpeUdo_OperationInfo_t;
+
+typedef SnpeUdo_OperationInfo_t Udo_OperationInfo_t;
+
+/**
+ * @brief A struct which provides the implementation library info : type, name
+ *
+ */
+typedef struct
+{
+   /// Defines the IP Core that this implementation library is targeting
+   SnpeUdo_CoreType_t     udoCoreType;
+   /// library name. will be looked at in the standard library path
+   SnpeUdo_String_t       libraryName;
+} SnpeUdo_LibraryInfo_t;
+
+typedef SnpeUdo_LibraryInfo_t Udo_LibraryInfo_t;
+
+/**
+ * @brief A struct returned by the registration library and contains information on the UDO package :
+ * name, operations, libraries, etc.
+ *
+ */
+typedef struct
+{
+   /// A string containing the package name
+   SnpeUdo_String_t         packageName;
+   /// A bitmask describing supported IP cores (CPU, GPU, DSP ...)
+   /// Translated based on SnpeUdo_CoreType
+   SnpeUdo_Bitmask_t        supportedCoreTypes;
+   /// The number of implementation libraries in the package
+   uint32_t                numOfImplementationLib;
+   /// Array of implementation libraries names/types
+   SnpeUdo_LibraryInfo_t*   implementationLib;
+   /// A string containing all operation types separated by space
+   SnpeUdo_String_t         operationsString;
+   /// Number of supported operations
+   uint32_t                numOfOperations;
+   /// Array of Operation info structs. Each entry describes one
+   /// Operation (name, params, inputs, outputs)
+   SnpeUdo_OperationInfo_t* operationsInfo;
+} SnpeUdo_RegInfo_t;
+
+typedef SnpeUdo_RegInfo_t Udo_RegInfo_t;
+
+/**
+* @brief A struct returned by the implementation library and contains information on the
+* specific library: name, IP Core, operations, etc.
+*
+*/
+typedef struct
+{
+   /// Defines the IP Core that this implementation library is targeting
+   SnpeUdo_CoreType_t     udoCoreType;
+   /// A string containing the package name
+   SnpeUdo_String_t       packageName;
+   /// A string containing all operation types separated by space
+   SnpeUdo_String_t       operationsString;
+   /// Number of supported operations
+   uint32_t              numOfOperations;
+} SnpeUdo_ImpInfo_t;
+
+typedef SnpeUdo_ImpInfo_t Udo_ImpInfo_t;
+
+/**
+ * @brief This struct defines an operation. It is used for validation
+ * or creation of an operation.
+ * In case of using it for creation, the static params which are tensors
+ * contain pointers to the real data (weights, for example), and input/output
+ * tensors also include pointers to the buffers used.
+ */
+typedef struct
+{
+   /// The IP Core that the operation is defined for - CPU, GPU, DSP...
+   SnpeUdo_CoreType_t      udoCoreType;
+   /// Operation type
+   SnpeUdo_String_t        operationType;
+   /// The number of static parameters provided in the staticParams array.
+   /// this number has to match the number provided by the UDO Registration library information
+   uint32_t               numOfStaticParams;
+   /// Array of static parameters
+   SnpeUdo_Param_t*        staticParams;
+   /// The number of input parameters provided in inputs array.
+   /// this number has to match the number provided by the UDO Registration library information
+   uint32_t               numOfInputs;
+   /// Array of input tensors, providing layout, data type, sizes, etc
+   /// When used to create an operation, also contains the initial location of the data
+   SnpeUdo_TensorParam_t*  inputs;
+   /// The number of output parameters provided in inputs array.
+   /// this number has to match the number provided by the UDO Registration library information
+   uint32_t               numOfOutputs;
+   /// Array of output tensors, providing layout, data type, sizes, etc
+   /// When used to create an operation, also contains the initial location of the data
+   SnpeUdo_TensorParam_t*  outputs;
+} SnpeUdo_OpDefinition_t;
+
+typedef SnpeUdo_OpDefinition_t Udo_OpDefinition_t;
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif //SNPE_UDO_BASE_H

third_party/snpe/include/SnpeUdo/UdoImpl.h

@@ -0,0 +1,343 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2021 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef SNPE_UDO_IMPL_H
+#define SNPE_UDO_IMPL_H
+
+#include <stdbool.h>
+
+#include "SnpeUdo/UdoShared.h"
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+typedef struct _SnpeUdo_OpFactory_t* SnpeUdo_OpFactory_t;
+typedef struct _SnpeUdo_Operation_t* SnpeUdo_Operation_t;
+
+typedef SnpeUdo_OpFactory_t Udo_OpFactory_t;
+typedef SnpeUdo_Operation_t Udo_Operation_t;
+
+/**
+ * @brief Initialize the shared library's data structures. Calling any other
+ *        library function before this one will result in error.
+ *
+ * @param[in] globalInfrastructure Global core-specific infrastructure to be
+ *            used by operations created in this library. The definition and
+ *            semantics of this object will be defined in the corresponding
+ *            implementation header for the core type.
+ * @return Error code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_initImplLibrary(void* globalInfrastructure);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_InitImplLibraryFunction_t)(void*);
+
+/**
+ * @brief A function to query the API version of the UDO implementation library.
+ *        The function populates a SnpeUdo_LibVersion_t struct, which contains a SnpeUdo_Version_t
+ *        struct for API version and library version.
+ *
+ * @param[in, out] version A pointer to struct which contains major, minor, teeny information for
+ *                 library and api versions.
+ *
+ * @return Error code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_getImplVersion(SnpeUdo_LibVersion_t** version);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_getImplVersion_t)(SnpeUdo_LibVersion_t** version);
+
+/**
+ * @brief Release the shared library's data structures, and invalidate any
+ *        handles returned by the library. The behavior of any outstanding
+ *        asynchronous calls made to this library when this function is called
+ *        are undefined. All library functions (except SnpeUdo_initImplLibrary) will
+ *        return an error after this function has been successfully called.
+ *
+ *        It should be possible to call SnpeUdo_initImplLibrary after calling this
+ *        function, and re-initialize the library.
+ *
+ * @return Error code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_terminateImplLibrary(void);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_TerminateImplLibraryFunction_t)(void);
+
+
+/**
+ * @brief A function to query info on the UDO implementation library.
+ *        The function populates a structure which contains information about
+ *        operations that are part of this library
+ *
+ * @param[in, out] implementationInfo A pointer to struct which contains information
+ *                 on the operations
+ *
+ * @return error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_getImpInfo(SnpeUdo_ImpInfo_t** implementationInfo);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_GetImpInfoFunction_t)(SnpeUdo_ImpInfo_t** implementationInfo);
+
+typedef SnpeUdo_GetImpInfoFunction_t Udo_GetImpInfoFunction_t;
+
+/**
+ * @brief A function to create an operation factory.
+ *        The function receives the operation type, and an array of static parameters,
+ *        and returns operation factory handler
+ *
+ * @param[in] udoCoreType The Core type to create the operation on. An error will
+ *            be returned if this does not match the core type of the library.
+ *
+ * @param[in] perFactoryInfrastructure CreateOpFactory infrastructure appropriate to this
+ *            core type. The definition and semantics of this object will be defined
+ *            in the corresponding implementation header for the core type.
+ *
+ * @param[in] operationType A string containing Operation type. for example "MY_CONV"
+ *
+ * @param[in] numOfStaticParams The number of static parameters.
+ *
+ * @param[in] staticParams Array of static parameters
+ *
+ * @param[in,out] opFactory Handler to Operation Factory, to be used when creating operations
+ *
+ * @return Error Code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_createOpFactory(SnpeUdo_CoreType_t    udoCoreType,
+                        void*                perFactoryInfrastructure,
+                        SnpeUdo_String_t      operationType,
+                        uint32_t             numOfStaticParams,
+                        SnpeUdo_Param_t*      staticParams,
+                        SnpeUdo_OpFactory_t*  opFactory);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_CreateOpFactoryFunction_t)(SnpeUdo_CoreType_t,
+                                     void*,
+                                     SnpeUdo_String_t,
+                                     uint32_t,
+                                     SnpeUdo_Param_t*,
+                                     SnpeUdo_OpFactory_t*);
+
+typedef SnpeUdo_CreateOpFactoryFunction_t Udo_CreateOpFactoryFunction_t;
+
+/**
+ * @brief A function to release the resources allocated for an operation factory
+ *        created by this library.
+ *
+ * @param[in] factory The operation factory to release. Upon success this handle will be invalidated.
+ *
+ * @return Error Code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_releaseOpFactory(SnpeUdo_OpFactory_t opFactory);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_ReleaseOpFactoryFunction_t)(SnpeUdo_OpFactory_t);
+
+typedef SnpeUdo_ReleaseOpFactoryFunction_t Udo_ReleaseOpFactoryFunction_t;
+
+/**
+ * @brief A function to create an operation from the factory.
+ *        The function receives array of inputs and array of outputs, and creates an operation
+ *        instance, returning the operation instance handler.
+ *
+ * @param[in] opFactory OpFactory instance containing the parameters for this operation.
+ *
+ * @param[in] perOpInfrastructure Per-Op infrastructure for this operation. The definition
+ *            and semantics of this object will be defined in the implementation header
+ *            appropriate to this core type.
+ *
+ * @param[in] numOfInputs The number of input tensors this operation will receive.
+ *
+ * @param[in] inputs Array of input tensors, providing both the sizes and initial
+ *            location of the data.
+ *
+ * @param[in] numOfOutputs Number of output tensors this operation will produce.
+ *
+ * @param[in] outputs Array of output tensors, providing both the sizes and
+ *            initial location of the data.
+ *
+ * @param[in,out] operation Handle for newly created operation instance.
+ *
+ * @return Error Code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_createOperation(SnpeUdo_OpFactory_t    opFactory,
+                        void*                 perOpInfrastructure,
+                        uint32_t              numOfInputs,
+                        SnpeUdo_TensorParam_t* inputs,
+                        uint32_t              numOfOutputs,
+                        SnpeUdo_TensorParam_t* outputs,
+                        SnpeUdo_Operation_t*   operation);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_CreateOperationFunction_t)(SnpeUdo_OpFactory_t,
+                                     void*,
+                                     uint32_t,
+                                     SnpeUdo_TensorParam_t*,
+                                     uint32_t,
+                                     SnpeUdo_TensorParam_t*,
+                                     SnpeUdo_Operation_t*);
+
+typedef SnpeUdo_CreateOperationFunction_t Udo_CreateOperationFunction_t;
+
+/**
+ * @brief A pointer to notification function.
+ *
+ *        The notification function supports the non-blocking (e.g. asynchronous) execution use-case.
+ *        In case an "executeUdoOp" function is called with "blocking" set to zero, and a
+ *        notify function, this function will be called by the implementation library at the
+ *        end of execution. The implementation library will pass the notify function the ID
+ *        that was provided to it when "executeUdoOp" was called.
+ *
+ * @param[in] ID 32-bit value, that was provided to executeUdoOp by the calling entity.
+ *            Can be used to track the notifications, in case of multiple execute calls issued.
+ *
+ * @return Error code
+ *
+ */
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_ExternalNotify_t)(const uint32_t ID);
+
+typedef SnpeUdo_ExternalNotify_t Udo_ExternalNotify_t;
+
+/**
+ * @brief Operation execution function.
+ *
+ *        Calling this function will run the operation on set of inputs, generating a set of outputs.
+ *        The call can be blocking (synchronous) or non-blocking (asynchronous). To support the
+ *        non-blocking mode, the calling entity can pass an ID and a notification function.
+ *        At the end of the execution this notification function would be called, passing it the ID.
+ *        <b> NOTE: Asynchronous execution mode not supported in this release. </b>
+ *
+ * @param[in] operation handle to the operation on which execute is invoked
+ * @param[in] blocking flag to indicate execution mode.
+ *            If set, execution is blocking,
+ *            e.g SnpeUdo_executeOp call does not return until execution is done.
+ *            If not set, SnpeUdo_executeOp returns immediately, and the
+ *            library will call the notification function (if set) when execution is done.
+ *
+ * @param[in] ID 32-bit number that can be used by the calling entity to track execution
+ *            in case of non-blocking execution.
+ *            For example, it can be a sequence number, increased by one on each call.
+ *
+ * @param[in] notifyFunc Pointer to notification function. if the pointer is set, and execution is
+ *            non-blocking, the library will call this function at end of execution,
+ *            passing the number provided as ID
+ *
+ * @return Error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_executeOp(SnpeUdo_Operation_t operation,
+                  bool         blocking,
+                  const uint32_t ID,
+                  SnpeUdo_ExternalNotify_t notifyFunc);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_ExecuteOpFunction_t)(SnpeUdo_Operation_t,
+                               bool,
+                               const uint32_t,
+                               SnpeUdo_ExternalNotify_t);
+
+typedef SnpeUdo_ExecuteOpFunction_t Udo_ExecuteOpFunction_t;
+
+/**
+ * @brief A function to setting the inputs & outputs. part of SnpeUdo_Operation struct,
+ *        returned from creation of a new operation instance.
+ *        <b> Not supported in this release. </b>
+ *
+ *        This function allows the calling entity to change some of the inputs and outputs
+ *        between calls to execute.
+ *        Note that the change is limited to changing the <b> pointer </b> to the tensor data only.
+ *        Any other change may be rejected by the implementation library, causing
+ *        immediate invalidation of the operation instance
+ *
+ * @param[in] operation Operation on which IO tensors are set
+ *
+ * @param[in] inputs array of tensor parameters. The calling entity may provide a subset of the
+ *            operation inputs, providing only those that it wants to change.
+ *
+ * @param[in] outputs array of tensor parameters. The calling entity may provide a subset of the
+ *            operation outputs, providing only those that it wants to change.
+ *
+ * @return Error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_setOpIO(SnpeUdo_Operation_t operation,
+                SnpeUdo_TensorParam_t* inputs,
+                SnpeUdo_TensorParam_t* outputs);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_SetOpIOFunction_t)(SnpeUdo_Operation_t,
+                             SnpeUdo_TensorParam_t*,
+                             SnpeUdo_TensorParam_t*);
+
+typedef SnpeUdo_SetOpIOFunction_t Udo_SetOpIOFunction_t;
+
+/**
+ * @brief A function to return execution times.
+ *
+ *        This function can be called to query the operation execution times on the IP core
+ *        on which the operation is run. The time is provided in micro-seconds
+ *
+ * @param[in] operation Handle to operation whose execution time is being profiled
+ *
+ * @param[in,out] executionTime pointer to a uint32 value.This function writes the operation
+ *                execution time in usec into this value.
+ *
+ * @return Error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_profileOp(SnpeUdo_Operation_t operation, uint32_t *executionTime);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_ProfileOpFunction_t)(SnpeUdo_Operation_t, uint32_t*);
+
+typedef SnpeUdo_ProfileOpFunction_t Udo_ProfileOpFunction_t;
+
+/**
+ * @brief A function to release the operation instance
+ *        \n When it is called, the implementation library needs to release all resources
+ *        allocated for this operation instance.
+ *        \n Note that all function pointers which are part of SnpeUdo_Operation become
+ *        <b> invalid </b> once releaseUdoOp call returns.
+ *
+ * @param[in] operation Handle to operation to be released
+ * @return Error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_releaseOp(SnpeUdo_Operation_t operation);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_ReleaseOpFunction_t)(SnpeUdo_Operation_t);
+
+typedef SnpeUdo_ReleaseOpFunction_t Udo_ReleaseOpFunction_t;
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+#endif //SNPE_UDO_IMPL_H

third_party/snpe/include/SnpeUdo/UdoImplCpu.h

@@ -0,0 +1,44 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2020 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+// Header to be used by a CPU UDO Implementation library
+
+#ifndef SNPE_UDO_IMPL_CPU_H
+#define SNPE_UDO_IMPL_CPU_H
+
+#include <stdio.h>
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief This struct provides the infrastructure needed by a developer of
+ * CPU UDO Implementation library.
+ *
+ * The framework/runtime which loads the CPU UDO implementation library provides
+ * this infrastructure data to the loaded library at the time of op factory creation.
+ * as an opaque pointer. It contains hooks for the UDO library to invoke supported
+ * functionality at the time of execution
+ *
+ * @param getData function pointer to retrieve raw tensor data from opaque pointer
+ *  passed into the UDO when creating an instance.
+ * @param getDataSize function pointer to retrieve tensor data size from opaque pointer
+ */
+
+typedef struct
+{
+   /// function pointer to retrieve raw tensor data from opaque pointer
+   /// passed into the UDO when creating an instance.
+   float* (*getData)(void*);
+   /// function pointer to retrieve tensor data size from opaque pointer
+   size_t (*getDataSize) (void*);
+} SnpeUdo_CpuInfrastructure_t;
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // SNPE_UDO_IMPL_CPU_H

third_party/snpe/include/SnpeUdo/UdoImplDsp.h

@@ -0,0 +1,207 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2021 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+//==============================================================================
+/*
+ * THIS HEADER FILE IS COPIED FROM HEXAGON-NN PROJECT
+ *
+ */
+//==============================================================================
+
+
+// Header to be used by a DSP Hexnn UDO Implementation library
+
+#ifndef SNPE_UDO_IMPL_DSP_H
+#define SNPE_UDO_IMPL_DSP_H
+#include <stdio.h>
+#include "SnpeUdo/UdoImpl.h"
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief A function to validate that a set of params is supported by an operation
+ *        This function is HexNN specific, use case is when registration library is not in use.
+ *        Optional function.
+ *
+ * @param[in] operationType Operation type
+ * @param[in] numOfStaticParams Number of static params defined by the op
+ * @param[in] staticParams Array of static params to the op
+ * @return Error code, indicating if the operation can be created on this set of configuration or not.
+ *
+ */
+
+SnpeUdo_ErrorType_t
+SnpeUdo_validateOperation (SnpeUdo_String_t operationType,
+                           uint32_t numOfStaticParams,
+                           const SnpeUdo_Param_t* staticParams);
+
+typedef SnpeUdo_ErrorType_t (*SnpeUdo_ValidateOperationFunction_t) (SnpeUdo_String_t,
+                                                                    uint32_t,
+                                                                    const SnpeUdo_Param_t*);
+
+typedef SnpeUdo_ValidateOperationFunction_t Udo_ValidateOperationFunction_t;
+
+// enum used for indicating input/outout tensor data layouts on DSP, plain vs d32
+typedef enum {
+        SNPE_UDO_DSP_TENSOR_LAYOUT_PLAIN = 0x00,        UDO_DSP_TENSOR_LAYOUT_PLAIN = 0x00,
+        SNPE_UDO_DSP_TENSOR_LAYOUT_D32   = 0x01,        UDO_DSP_TENSOR_LAYOUT_D32   = 0x01
+} SnpeUdo_HexNNTensorLayout_t;
+
+typedef SnpeUdo_HexNNTensorLayout_t Udo_HexNNTensorLayout_t;
+
+/**
+ * @brief A function to query numbers of inputs and outputs,
+ *        quantization type of each input and each output as arrays,
+ *        and data layout (plain vs d32) of each input and each output as arrays
+ *        of an operation.
+ * inputsQuantTypes and inputsLayouts should point to arrays of size numOfInputs
+ * outputsQuantTypes and outputsLayouts should point to arrays of size numOfOutputs
+ *
+ * Note: inputsLayouts and inputsLayouts can point to NULL, in this case, it is
+ * assumed all inputs and/or outputs have plain data layouts, i.e. no D32
+ *
+ * @param[in] operationType Operation type
+ * @param[in] numOfStaticParams Number of static params defined by the op
+ * @param[in] staticParams Array of static params to the op
+ * @param[in,out] numOfInputs Number of input tensors to the op
+ * @param[in,out] inputsQuantTypes Array of Quantization info for each input tensor
+ * @param[in,out] inputsLayouts Array of layout type for each input tensor
+ * @param[in,out] numOfOutputs Number of output tensors to the op
+ * @param[in,out] outputsQuantTypes Array of Quantization info for each output tensor
+ * @param[in,out] outputsLayouts Array of layout type for each output tensor
+ * @return error code, indicating status of query
+ */
+
+SnpeUdo_ErrorType_t
+SnpeUdo_queryOperation (SnpeUdo_String_t operationType,
+                        uint32_t numOfStaticParams,
+                        const SnpeUdo_Param_t* staticParams,
+                        uint32_t* numOfInputs,
+                        SnpeUdo_QuantizationType_t** inputsQuantTypes,
+                        SnpeUdo_HexNNTensorLayout_t** inputsLayouts,
+                        uint32_t* numOfOutputs,
+                        SnpeUdo_QuantizationType_t** outputsQuantTypes,
+                        SnpeUdo_HexNNTensorLayout_t** outputsLayouts);
+
+typedef SnpeUdo_ErrorType_t (*SnpeUdo_QueryOperationFunction_t) (SnpeUdo_String_t,
+                                                                 uint32_t,
+                                                                 const SnpeUdo_Param_t*,
+                                                                 uint32_t*,
+                                                                 SnpeUdo_QuantizationType_t**,
+                                                                 SnpeUdo_HexNNTensorLayout_t**,
+                                                                 uint32_t*,
+                                                                 SnpeUdo_QuantizationType_t**,
+                                                                 SnpeUdo_HexNNTensorLayout_t**);
+
+typedef SnpeUdo_QueryOperationFunction_t Udo_QueryOperationFunction_t;
+
+// Global infrastructure functions supported by Hexagon-NN v2
+typedef void (*workerThread_t) (void* perOpInfrastructure, void* userData);
+typedef int (*udoSetOutputTensorSize_t) (void* perOpInfrastructure, uint32_t outIdx, uint32_t size);
+typedef int (*udoGetInputD32Paddings_t) (void* perOpInfrastructure, uint32_t inIdx,
+                                         uint32_t* heightPadBefore, uint32_t* heightPadAfter,
+                                         uint32_t* widthPadBefore, uint32_t* widthPadAfter,
+                                         uint32_t* depthPadBefore, uint32_t* depthPadAfter);
+typedef int (*udoSetOutputD32ShapeSizePaddings_t) (void* perOpInfrastructure, uint32_t outIdx,
+                                                   uint32_t batch,
+                                                   uint32_t height, uint32_t heightPadBefore, uint32_t heightPadAfter,
+                                                   uint32_t width, uint32_t widthPadBefore, uint32_t widthPadAfter,
+                                                   uint32_t depth, uint32_t depthPadBefore, uint32_t depthPadAfter,
+                                                   SnpeUdo_DataType_t dataType);
+typedef void* (*udoMemalign_t) (size_t n, size_t size);
+typedef void* (*udoMalloc_t) (size_t size);
+typedef void* (*udoCalloc_t) (size_t n, size_t size);
+typedef void (*udoFree_t) (void* ptr);
+typedef uint32_t (*udoGetVtcmSize_t) (void* perOpInfrastructure);
+typedef void* (*udoGetVtcmPtr_t) (void* perOpInfrastructure);
+typedef uint32_t (*udoVtcmIsReal_t) (void* perOpInfrastructure);
+typedef void (*udoRunWorkerThreads_t) (void* perOpInfrastructure, uint32_t nThreads, workerThread_t w, void* userData);
+
+typedef struct hexNNv2GlobalInfra {
+    udoSetOutputTensorSize_t udoSetOutputTensorSize;
+    udoGetInputD32Paddings_t udoGetInputD32Paddings;
+    udoSetOutputD32ShapeSizePaddings_t udoSetOutputD32ShapeSizePaddings;
+    udoMemalign_t udoMemalign;
+    udoMalloc_t udoMalloc;
+    udoCalloc_t udoCalloc;
+    udoFree_t udoFree;
+    udoGetVtcmSize_t udoGetVtcmSize;
+    udoGetVtcmPtr_t udoGetVtcmPtr;
+    udoVtcmIsReal_t udoVtcmIsReal;
+    udoRunWorkerThreads_t udoRunWorkerThreads;
+} SnpeUdo_HexNNv2GlobalInfra_t;
+
+typedef SnpeUdo_HexNNv2GlobalInfra_t Udo_HexNNv2GlobalInfra_t;
+
+// hexnn types
+typedef enum hexnnInfraType {
+   UDO_INFRA_HEXNN_V2,
+   UDO_INFRA_HEXNN_V3   // reserved, do not use
+} SnpeUdo_HexNNInfraType_t;
+
+typedef SnpeUdo_HexNNInfraType_t Udo_HexNNInfraType_t;
+
+typedef struct {
+    Udo_CreateOpFactoryFunction_t create_op_factory;
+    Udo_CreateOperationFunction_t create_operation;
+    Udo_ExecuteOpFunction_t execute_op;
+    Udo_ReleaseOpFunction_t release_op;
+    Udo_ReleaseOpFactoryFunction_t release_op_factory;
+    Udo_ValidateOperationFunction_t validate_op;
+    Udo_QueryOperationFunction_t query_op;
+} udo_func_package_t;
+
+/**
+ * @brief Infrastructures needed by a developer of DSP Hexnn UDO Implementation library.
+ *
+ * The framework/runtime which loads the Hexnn UDO implementation library provides
+ * this infrastructure to the loaded library by calling "SnpeUdo_initImplLibrary"
+ * function, and passing it (cast to void*). The Hexnn UDO library is expected
+ * to cast it back to this structure.
+ *
+ */
+typedef struct dspGlobalInfrastructure {
+    SnpeUdo_Version_t   dspInfraVersion;     // api version
+    SnpeUdo_HexNNInfraType_t infraType;
+    SnpeUdo_HexNNv2GlobalInfra_t hexNNv2Infra;
+} SnpeUdo_DspGlobalInfrastructure_t;
+
+typedef SnpeUdo_DspGlobalInfrastructure_t Udo_DspGlobalInfrastructure_t;
+
+/**
+ * hexnn v2 per op factory infrastructure
+ *
+ * The framework/runtime passes per op factory infrastructure as a void pointer
+ * to HexNN UDO implementation library by calling function "SnpeUdo_createOpFactory".
+ * UDO implementation library is expected to cast it back to this following struct.
+ *
+ */
+typedef struct hexnnv2OpFactoryInfra {
+   unsigned long graphId;
+} SnpeUdo_HexNNv2OpFactoryInfra_t;
+
+typedef SnpeUdo_HexNNv2OpFactoryInfra_t Udo_HexNNv2OpFactoryInfra_t;
+
+/**
+ * hexnn v2 per operation infrastructure
+ *
+ * The framework/runtime passes per operation infrastructure as a void pointer
+ * to HexNN UDO implementation library by calling function "SnpeUdo_createOperation".
+ * UDO implementation library is expected to cast it to the following type and save it.
+ *
+ * This is needed to be passed back into some functions from global infrastructure.
+ *
+ */
+typedef void* SnpeUdo_HexNNv2OpInfra_t;
+
+typedef SnpeUdo_HexNNv2OpInfra_t Udo_HexNNv2OpInfra_t;
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // SNPE_UDO_IMPL_DSP_H

third_party/snpe/include/SnpeUdo/UdoImplGpu.h

@@ -0,0 +1,112 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2020 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+// Header to be used by a GPU UDO Implementation library
+
+#ifndef SNPE_UDO_IMPL_GPU_H
+#define SNPE_UDO_IMPL_GPU_H
+
+#include "CL/cl.h"
+#include "SnpeUdo/UdoBase.h"
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * This header defines version 0.0.0 of the GPU UDO Infrastructure.
+ * It defines the interpretation of the global and per-OpFactory infrastructure pointers
+ * as well as the interpretation of tensorData pointers.
+ *
+ * The per-Operation infrastructure pointer is defined to be null, and should not be used.
+ *
+ * The SnpeUdoTensorParam_t struct below provides the interpretation for
+ * the tensorData opaque pointer for SnpeUdoTensorParams representing inputs or outputs.
+ *
+ * The tensorData opaque pointer populated in SnpeUdoScalarParam_t structs should be interpreted
+ * as a host-readable data pointer.
+ *
+ */
+
+/**
+ * @brief Function to retrieve opencl program from Program Cache repository.
+ * @param programCache is opaque pointer to Program Cache repository provided by
+ * SNPE GPU UDO runtime.
+ * @param programName is name associated with opencl program for UDO.
+ * @param program is pointer to opencl program which will be populated with
+ * valid opencl program if found in Program Cache repository.
+ * @return SnpeUdo_ErrorType_t is error type returned. SNPE_UDO_NO_ERROR is returned
+ * on success.
+ */
+typedef SnpeUdo_ErrorType_t (*SnpeUdo_getProgram_t)
+   (void* programCache, const char* programName, cl_program* program);
+
+/**
+ * @brief Function to store valid opencl program in Program Cache repository.
+ * @param programCache is opaque pointer to Program Cache repository provided by
+ * SNPE GPU UDO runtime.
+ * @param programName is name associated with opencl program for UDO.
+ * @param program is valid opencl program after program is built.
+ * @return SnpeUdo_ErrorType_t is error type returned. SNPE_UDO_NO_ERROR is returned
+ * on success.
+ * */
+typedef SnpeUdo_ErrorType_t (*SnpeUdo_storeProgram_t)
+   (void* programCache, const char * programName, cl_program program);
+
+/**
+ * @brief Global Infrastructure Definition for GPU UDO Implementations.
+ */
+typedef struct {
+   // Infrastructure definition version. This header is 0.0.0
+   SnpeUdo_Version_t   gpuInfraVersion;
+   SnpeUdo_getProgram_t SnpeUdo_getProgram;
+   SnpeUdo_storeProgram_t SnpeUdo_storeProgram;
+} SnpeUdo_GpuInfrastructure_t;
+
+/**
+ * @brief Per OpFactory Infrastructure Definition for GPU UDO Implementations.
+ * @note  This version of the infrastructure definition guarantees that the same
+ *        Per OpFactory infrastructure pointer will be provided to all OpFactories
+ *        in the same network.
+ */
+typedef struct
+{
+   cl_context context;
+   cl_command_queue commandQueue;
+   void* programCache;
+} SnpeUdo_GpuOpFactoryInfrastructure_t;
+
+/**
+ * @brief Opaque tensorData definition for operation inputs and outputs.
+ *
+ * The following is a list of all SnpeUdoTensorLayout_t values supported by the
+ * GPU UDO implementation, and how the parameters of the struct should be
+ * interpreted in each case:
+ *
+ * SNPE_UDO_LAYOUT_NHWC:
+ *   mem shall be single-element array, pointing to a cl buffer memory object.
+ *   the dimensions of this object match the dimensions specified in the encompassing
+ *   SnpeUdoTensorParam_t's currDimensions.
+ *
+ *   memCount shall be 1.
+ *
+ *   paddedRank and paddedDimensions are undefined and shall be ignored by the UDO
+ *   implementation.
+ *
+ */
+typedef struct
+{
+   cl_mem*   mem;
+   uint32_t  memCount;
+   uint32_t  paddedRank;
+   uint32_t* paddedDimensions;
+
+} SnpeUdo_GpuTensorData_t;
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // SNPE_UDO_IMPL_GPU_H

third_party/snpe/include/SnpeUdo/UdoReg.h

@@ -0,0 +1,108 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2020 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef SNPE_UDO_REG_H
+#define SNPE_UDO_REG_H
+
+#include "SnpeUdo/UdoShared.h"
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief Initialize the shared library's data structures. Calling any other
+ *        library function before this one will result in an error being returned.
+ *
+ * @return Error code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_initRegLibrary(void);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_InitRegLibraryFunction_t)(void);
+
+/**
+ * @brief A function to query the API version of the UDO registration library.
+ *        The function populates a SnpeUdo_LibVersion_t struct, which contains a SnpeUdo_Version_t
+ *        struct for API version and library version.
+ *
+ * @param[in, out] version A pointer to struct which contains major, minor, teeny information for
+ *                 library and api versions.
+ *
+ * @return Error code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_getRegLibraryVersion(SnpeUdo_LibVersion_t** version);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_getRegLibraryVersion_t)(SnpeUdo_LibVersion_t** version);
+
+/**
+ * @brief Release the shared library's data structures, and invalidate any
+ *        handles returned by the library. The behavior of any outstanding
+ *        asynchronous calls made to this library when this function is called
+ *        are undefined. All library functions (except SnpeUdo_InitRegLibrary) will
+ *        return an error after this function has been successfully called.
+ *
+ *        It should be possible to call SnpeUdo_InitRegLibrary after calling this
+ *        function, and re-initialize the library.
+ *
+ * @return Error code
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_terminateRegLibrary(void);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_TerminateRegLibraryFunction_t)(void);
+
+
+/**
+ * @brief A function to query the info on the UDO set.
+ *        The function populates a structure which contains information about
+ *        the package and operations contained in it.
+ *
+ * @param[in, out] registrationInfo A struct which contains information on the set of UDOs
+ *
+ * @return Error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_getRegInfo(SnpeUdo_RegInfo_t** registrationInfo);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_GetRegInfoFunction_t)(SnpeUdo_RegInfo_t** registrationInfo);
+
+/**
+ * @brief A function to validate that a set of params is supported by an operation
+ *        The function receives an operation definition struct, and returns if this configuration is
+ *        supported (e.g. if an operation can be created using this configuration)
+ *
+ * @param[in] opDefinition A struct of SnpeUdo_OpDefinition type, containing the information needed to
+ *            validate that an operation can be created with this configuration.
+ *
+ * @return Error code, indicating is the operation can be created on this set or not.
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_validateOperation(SnpeUdo_OpDefinition_t* opDefinition);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_ValidateOperationFunction_t)(SnpeUdo_OpDefinition_t* opDefinition);
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+#endif //SNPE_UDO_REG_H

third_party/snpe/include/SnpeUdo/UdoShared.h

@@ -0,0 +1,48 @@
+//==============================================================================
+//
+// Copyright (c) 2019-2021 Qualcomm Technologies, Inc.
+// All Rights Reserved.
+// Confidential and Proprietary - Qualcomm Technologies, Inc.
+//
+//==============================================================================
+
+#ifndef SNPE_UDO_SHARED_H
+#define SNPE_UDO_SHARED_H
+
+#include "SnpeUdo/UdoBase.h"
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+/** @addtogroup c_plus_plus_apis C++
+@{ */
+
+/**
+ * @brief A function to return the various versions as they relate to the UDO
+ *        The function returns a struct containing the the following:
+ *        libVersion: the version of the implementation library compiled for the UDO. Set by user
+ *        apiVersion: the version of the UDO API used in compiling the implementation library.
+ *        Set by SNPE
+ *
+ * @param[in, out] version A pointer to Version struct of type SnpeUdo_LibVersion_t
+ *
+ * @return Error code
+ *
+ */
+SnpeUdo_ErrorType_t
+SnpeUdo_getVersion (SnpeUdo_LibVersion_t** version);
+
+typedef SnpeUdo_ErrorType_t
+(*SnpeUdo_GetVersionFunction_t) (SnpeUdo_LibVersion_t** version);
+
+typedef SnpeUdo_GetVersionFunction_t Udo_GetVersionFunction_t;
+
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+/** @} */ /* end_addtogroup c_plus_plus_apis C++ */
+
+#endif // SNPE_UDO_SHARED_H

third_party/snpe/larch64

@@ -0,0 +1 @@
+aarch64-ubuntu-gcc7.5