cpu_backend_context.cc | Explore in Territory

/* Copyright 2019 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/kernels/cpu_backend_context.h"

#include <memory>

#ifdef TFLITE_KERNEL_USE_XNNPACK
#include "pthreadpool.h"  // from @pthreadpool
#endif

#ifdef TFLITE_HAVE_CPUINFO
#include "include/cpuinfo.h"
#endif

#include "public/gemmlowp.h"
#include "ruy/context.h"  // from @ruy
#include "ruy/path.h"  // from @ruy
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/core/macros.h"
#include "tensorflow/lite/external_cpu_backend_context.h"
#include "tensorflow/lite/kernels/internal/compatibility.h"
#include "tensorflow/lite/kernels/op_macros.h"

namespace {
const int kDefaultNumThreadpoolThreads = …;

}  // namespace

namespace tflite {

// Use weak symbols if possible to dispatch to deprecated paths.
#if TFLITE_HAS_ATTRIBUTE_WEAK && !defined(__APPLE__)
extern TFLITE_ATTRIBUTE_WEAK bool UseGemmlowpOnX86();
#endif  // defined(TFLITE_HAS_ATTRIBUTE_WEAK) && !(__APPLE__)

#if defined(TFLITE_HAVE_CPUINFO)
CpuBackendContext::CpuInfo::~CpuInfo() { … }

bool CpuBackendContext::CpuInfo::EnsureInitialized() { … }

CpuBackendContext::CpuInfo::InitStatus
CpuBackendContext::CpuInfo::Initialize() { … }

bool CpuBackendContext::CpuInfo::Avx2Fma() { … }

bool CpuBackendContext::CpuInfo::Avx() { … }

bool CpuBackendContext::CpuInfo::Avx512() { … }
#else

CpuBackendContext::CpuInfo::~CpuInfo() {}

bool CpuBackendContext::CpuInfo::EnsureInitialized() {
  if (init_status_ == InitStatus::kNotYetAttempted) {
    init_status_ = InitStatus::kInitialized;
  }
  TFLITE_DCHECK_EQ(init_status_, InitStatus::kInitialized);
  return true;
}

bool CpuBackendContext::CpuInfo::Avx2Fma() { return false; }

bool CpuBackendContext::CpuInfo::Avx() { return false; }

bool CpuBackendContext::CpuInfo::Avx512() { return false; }
#endif  // TFLITE_HAVE_CPUINFO

CpuBackendContext* CpuBackendContext::GetFromContext(TfLiteContext* context) { … }

CpuBackendContext::CpuBackendContext()
    : … { … }

CpuBackendContext::~CpuBackendContext() { … }

void CpuBackendContext::SetMaxNumThreads(int max_num_threads) { … }

void CpuBackendContext::SetUseCaching(bool flag) { … }

#ifdef TFLITE_KERNEL_USE_XNNPACK
pthreadpool_t CpuBackendContext::get_xnnpack_threadpool() { … }
#endif

bool CpuBackendContext::PreferGemmlowpOnX86() { … }

bool CpuBackendContext::RuyHasAvxOrAbove() { … }

}  // namespace tflite
chromium/third_party/tflite/src/tensorflow/lite/kernels/cpu_backend_context.cc
