#pragma once #include namespace at { namespace functorch { // This is the interpreter that handles the functionalize() transform. // See NOTE: [functorch interpreter stack] for more details. struct VmapInterpreterPtr { explicit VmapInterpreterPtr(const Interpreter* base): base_(base) { TORCH_INTERNAL_ASSERT(base->key() == TransformType::Vmap); } TransformType key() const { return base_->key(); } int64_t level() const { return base_->level(); } void processImpl(const c10::OperatorHandle& op, torch::jit::Stack* stack); void sendToNextInterpreterImpl(const c10::OperatorHandle& op, torch::jit::Stack* stack, bool grad_special_case); int64_t batchSize() const { return c10::get(base_->meta()).batchSize_; } RandomnessType randomness() const { return c10::get(base_->meta()).randomness_; } private: const Interpreter* base_; }; }} // namespace at::functorch