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#include <ATen/Config.h>
#include <ATen/Context.h>
#include <c10/core/TensorOptions.h>
#include <thread>
#include <mutex>
#include <sstream>
#include <string>
#include <stdexcept>
#include <ATen/CPUGenerator.h>
#include <ATen/RegisterCPU.h>
#include <ATen/Tensor.h>
#include <ATen/cpu/FlushDenormal.h>
#include <TH/TH.h> // for USE_LAPACK
namespace at {
static inline void errorHandler(const char * msg, void * data) {
throw std::runtime_error(msg);
}
static inline void argErrorHandler(int arg, const char * msg, void * data) {
std::stringstream new_error;
new_error << "invalid argument " << arg << ": " << msg;
throw std::runtime_error(new_error.str());
}
Context::Context()
: next_id(static_cast<size_t>(TypeID::NumOptions))
, thc_state(nullptr, [](THCState* p){ /* no-op */ } )
, thh_state(nullptr, [](THHState* p){ /* no-op */ } )
{
THSetDefaultErrorHandler(errorHandler,nullptr);
THSetDefaultArgErrorHandler(argErrorHandler,nullptr);
generator_registry[static_cast<int>(DeviceType::CPU)]
.reset(new CPUGenerator(this));
register_cpu_types(this);
}
// TODO: This could be bad juju if someone calls globalContext() in the
// destructor of an object with static lifetime.
Context & globalContext() {
static Context globalContext_;
return globalContext_;
}
// NB: This method is *purely* whether or not a user requested
// that CuDNN was enabled, it doesn't actually say anything about
// whether or not CuDNN is actually usable.
bool Context::userEnabledCuDNN() const {
return enabled_cudnn;
}
void Context::setUserEnabledCuDNN(bool e) {
enabled_cudnn = e;
}
bool Context::deterministicCuDNN() const {
return deterministic_cudnn;
}
void Context::setDeterministicCuDNN(bool b) {
deterministic_cudnn = b;
}
bool Context::benchmarkCuDNN() const {
return benchmark_cudnn;
}
void Context::setBenchmarkCuDNN(bool b) {
benchmark_cudnn = b;
}
bool Context::hasMKL() const {
#if AT_MKL_ENABLED()
return true;
#else
return false;
#endif
}
bool Context::hasLAPACK() const {
#ifdef USE_LAPACK
return true;
#else
return false;
#endif
}
bool Context::setFlushDenormal(bool on) {
return at::cpu::set_flush_denormal(on);
}
TypeExtendedInterface& getType(TensorOptions options) {
return globalContext().getType(
options.backend(), typeMetaToScalarType(options.dtype()), options.is_variable());
}
// NOTE: We also check `at::NonVariableTypeMode`, and if it's enabled we always
// return non-Variable type in this function.
// See NOTE [ Treating Variables as non-Variables in type dispatch ]
TypeExtendedInterface& getType(const TensorImpl* impl) {
Backend backend = tensorTypeIdToBackend(impl->type_id());
return globalContext().getType(
backend, typeMetaToScalarType(impl->dtype()), impl->is_variable() && !at::NonVariableTypeMode::is_enabled());
}
TypeExtendedInterface& getType(const Tensor& t) {
return getType(t.unsafeGetTensorImpl());
}
LegacyTHDispatcher& getLegacyTHDispatcher(TensorOptions options) {
return globalContext().getLegacyTHDispatcher(
options.backend(), typeMetaToScalarType(options.dtype()));
}
LegacyTHDispatcher& getLegacyTHDispatcher(const TensorImpl* impl) {
Backend backend = tensorTypeIdToBackend(impl->type_id());
return globalContext().getLegacyTHDispatcher(
backend, typeMetaToScalarType(impl->dtype()));
}
Allocator* getCPUAllocator() {
return getTHDefaultAllocator();
}
struct LegacyDeviceTypeInit : public LegacyDeviceTypeInitInterface {
LegacyDeviceTypeInit(LegacyDeviceTypeInitArgs) {}
void initCPU() const override {
globalContext();
}
void initCUDA() const override {
globalContext().lazyInitCUDA();
}
void initHIP() const override {
globalContext().lazyInitHIP();
}
void initComplex() const override {
globalContext().lazyInitComplex();
}
};
REGISTER_LEGACY_TYPE_INIT(LegacyDeviceTypeInit);
}
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