pytorch/torch/csrc/autograd/forward_grad.cpp

81 lines
2.6 KiB
C++

#include <torch/csrc/autograd/forward_grad.h>
namespace torch {
namespace autograd {
namespace {
// See discussion in forward_grad.h for why these are global variables and not
// thread local
std::mutex all_forward_levels_mutex_;
std::vector<std::shared_ptr<ForwardADLevel>> all_forward_levels_;
const static at::Tensor singleton_undefined_tensor;
} // namespace
uint64_t ForwardADLevel::get_next_idx() {
std::lock_guard<std::mutex> lock(all_forward_levels_mutex_);
auto next_idx = all_forward_levels_.size();
TORCH_CHECK(
next_idx == 0, "Nested forward mode AD is not supported at the moment");
all_forward_levels_.push_back(std::make_shared<ForwardADLevel>(next_idx));
return next_idx;
}
void ForwardADLevel::release_idx(uint64_t idx) {
std::unique_lock<std::mutex> lock(all_forward_levels_mutex_);
TORCH_CHECK(
idx + 1 == all_forward_levels_.size(),
"Exiting a forward AD level that is not the "
"last that was created is not support. Ensure they are released in the reverse "
"order they were created.");
TORCH_INTERNAL_ASSERT(!all_forward_levels_.empty());
// Keep the level alive until we have released the lock
auto lvl = all_forward_levels_.back();
all_forward_levels_.pop_back();
lock.unlock();
}
std::shared_ptr<ForwardADLevel> ForwardADLevel::get_by_idx(uint64_t idx) {
std::lock_guard<std::mutex> lock(all_forward_levels_mutex_);
TORCH_CHECK(
idx < all_forward_levels_.size(),
"Trying to access a forward AD level with an invalid index. "
"This index was either not created or is already deleted.");
return all_forward_levels_[idx];
}
std::shared_ptr<ForwardADLevel> ForwardADLevel::try_get_by_idx(uint64_t idx) {
std::lock_guard<std::mutex> lock(all_forward_levels_mutex_);
if (idx < all_forward_levels_.size()) {
return all_forward_levels_[idx];
} else {
return nullptr;
}
}
ForwardADLevel::~ForwardADLevel() {
std::lock_guard<std::mutex> lock(mutex_);
auto it = grads_.begin();
while (it != grads_.end()) {
// Warning this will lock *it mutex
// This is ok as this function is the *only* one to call back into another
// class's method.
(*it)->reset(idx_, /* update_level */ false);
it = grads_.erase(it);
}
}
const at::Tensor& ForwardGrad::value(uint64_t level) const {
std::lock_guard<std::mutex> lock(mutex_);
const auto& it = content_.find(level);
return it == content_.end() ? singleton_undefined_tensor : (*it).second;
}
const at::Tensor& ForwardGrad::undef_grad() {
return singleton_undefined_tensor;
}
} // namespace autograd
} // namespace torch