/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/lite/nnapi/nnapi_implementation.h"

#include <dlfcn.h>
#include <fcntl.h>
#include <sys/mman.h>
#include <sys/stat.h>
#include <unistd.h>

#include <cstdlib>

#ifdef __ANDROID__
#include <sys/system_properties.h>
#endif  // __ANDROID__

#define NNAPI_LOG(format, ...) fprintf(stderr, format "\n", __VA_ARGS__);

namespace {

#ifdef __ANDROID__
int32_t GetAndroidSdkVersion() {
  const char* sdkProp = "ro.build.version.sdk";
  char sdkVersion[PROP_VALUE_MAX];
  int length = __system_property_get(sdkProp, sdkVersion);
  if (length != 0) {
    int32_t result = 0;
    for (int i = 0; i < length; ++i) {
      int digit = sdkVersion[i] - '0';
      if (digit < 0 || digit > 9) {
        // Non-numeric SDK version, assume it's higher than expected;
        return 0xffff;
      }
      result = result * 10 + digit;
    }
    // TODO(levp): remove once SDK gets updated to 29th level
    // Upgrade SDK version for pre-release Q to be able to test functionality
    // available from SDK level 29.
    if (result == 28) {
      char versionCodename[PROP_VALUE_MAX];
      const char* versionCodenameProp = "ro.build.version.codename";
      length = __system_property_get(versionCodenameProp, versionCodename);
      if (length != 0) {
        if (versionCodename[0] == 'Q') {
          return 29;
        }
      }
    }
    return result;
  }
  return 0;
}
#endif  // __ANDROID__

void* LoadFunction(void* handle, const char* name, bool optional) {
  if (handle == nullptr) {
    return nullptr;
  }
  void* fn = dlsym(handle, name);
  if (fn == nullptr && !optional) {
    NNAPI_LOG("nnapi error: unable to open function %s", name);
  }
  return fn;
}

#ifndef __ANDROID__
// Add /dev/shm implementation of shared memory for non-Android platforms
int ASharedMemory_create(const char* name, size_t size) {
  int fd = shm_open(name, O_RDWR | O_CREAT, 0644);
  if (fd < 0) {
    return fd;
  }
  int result = ftruncate(fd, size);
  if (result < 0) {
    close(fd);
    return -1;
  }
  return fd;
}
#endif  // __ANDROID__

#define LOAD_FUNCTION(handle, name)         \
  nnapi.name = reinterpret_cast<name##_fn>( \
      LoadFunction(handle, #name, /*optional*/ false));

#define LOAD_FUNCTION_OPTIONAL(handle, name) \
  nnapi.name = reinterpret_cast<name##_fn>(  \
      LoadFunction(handle, #name, /*optional*/ true));

const NnApi LoadNnApi() {
  NnApi nnapi = {};
  nnapi.android_sdk_version = 0;

#ifdef __ANDROID__
  void* libandroid = nullptr;
  nnapi.android_sdk_version = GetAndroidSdkVersion();
  if (nnapi.android_sdk_version < 27) {
    NNAPI_LOG("nnapi error: requires android sdk version to be at least %d",
              27);
    nnapi.nnapi_exists = false;
    return nnapi;
  }
  libandroid = dlopen("libandroid.so", RTLD_LAZY | RTLD_LOCAL);
  if (libandroid == nullptr) {
    NNAPI_LOG("nnapi error: unable to open library %s", "libandroid.so");
  }
#endif  // __ANDROID__

  void* libneuralnetworks = nullptr;
  // TODO(b/123243014): change RTLD_LOCAL? Assumes there can be multiple
  // instances of nn api RT
  libneuralnetworks = dlopen("libneuralnetworks.so", RTLD_LAZY | RTLD_LOCAL);
  if (libneuralnetworks == nullptr) {
    NNAPI_LOG("nnapi error: unable to open library %s", "libneuralnetworks.so");
  }

  nnapi.nnapi_exists = libneuralnetworks != nullptr;

  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksMemory_createFromFd);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksMemory_free);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksModel_create);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksModel_free);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksModel_finish);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksModel_addOperand);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksModel_setOperandValue);
  LOAD_FUNCTION_OPTIONAL(
      libneuralnetworks,
      ANeuralNetworksModel_setOperandSymmPerChannelQuantParams);
  LOAD_FUNCTION(libneuralnetworks,
                ANeuralNetworksModel_setOperandValueFromMemory);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksModel_addOperation);
  LOAD_FUNCTION(libneuralnetworks,
                ANeuralNetworksModel_identifyInputsAndOutputs);
  LOAD_FUNCTION(libneuralnetworks,
                ANeuralNetworksModel_relaxComputationFloat32toFloat16);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksCompilation_create);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksCompilation_free);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksCompilation_setPreference);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksCompilation_finish);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksExecution_create);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksExecution_free);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksExecution_setInput);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksExecution_setInputFromMemory);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksExecution_setOutput);
  LOAD_FUNCTION(libneuralnetworks,
                ANeuralNetworksExecution_setOutputFromMemory);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksExecution_startCompute);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksEvent_wait);
  LOAD_FUNCTION(libneuralnetworks, ANeuralNetworksEvent_free);
#ifdef __ANDROID__
  LOAD_FUNCTION(libandroid, ASharedMemory_create);
#else
  nnapi.ASharedMemory_create = ASharedMemory_create;
#endif  // __ANDROID__
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworks_getDeviceCount);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworks_getDevice);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworksDevice_getName);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworksDevice_getVersion);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksDevice_getFeatureLevel);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworksDevice_getType);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksModel_getSupportedOperationsForDevices);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksCompilation_createForDevices);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksCompilation_setCaching);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworksExecution_compute);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksExecution_getOutputOperandRank);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksExecution_getOutputOperandDimensions);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworksBurst_create);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks, ANeuralNetworksBurst_free);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksExecution_burstCompute);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksMemory_createFromAHardwareBuffer);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksExecution_setMeasureTiming);
  LOAD_FUNCTION_OPTIONAL(libneuralnetworks,
                         ANeuralNetworksExecution_getDuration);
  return nnapi;
}

}  // namespace

const NnApi* NnApiImplementation() {
  static const NnApi nnapi = LoadNnApi();
  return &nnapi;
}
