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#pragma once
#include <c10/macros/Export.h>
#include <torch/csrc/jit/codegen/cuda/kernel_cache.h>
//! nvFuser Fusion IR namespace abbreviation
namespace Nvf = torch::jit::fuser::cuda;
namespace nvfuser {
//! \class FusionInterface
//! \brief Implements an Interface that represents an nvFuser IR object in
//! in python.
//!
//! Example 1 - Define fusion:
//!
//! fs = Fusion()
//! with FusionDefinition(fs) as fd :
//! t0 = fd.define_tensor(3)
//! s1 = fd.define_constant(3.)
//! t2 = fd.ops.add(t0, s1)
//! fd.add_output(t2)
//!
//! input = torch.ones(2, 4, 8, device='cuda')
//! for _ in range(5) :
//! outputs = fs.execute([input])
//!
//! Example 2 - Use cached fusion, directly, based on id:
//!
//! fs = Fusion(fusion_id)
//!
//! input = torch.ones(2, 4, 8, device='cuda')
//! for _ in range(5) :
//! outputs = fs.execute([input])
class TORCH_CUDA_CU_API FusionInterface {
public:
//! Pybind11 cannot bind to c10::optional and Pytorch is compiled with C++14.
//! Therefore, I am adding two constructors, instead.
FusionInterface();
FusionInterface(size_t fusion_id);
//! Define which Fusion IR object the interface represents
void define(size_t fusion_id);
//! Query whether the Fusion IR is defined
bool defined() const;
//! Return fusion id of this Fusion
size_t id() const;
//! Adds an input to the represented Fusion IR.
void addInput(Nvf::Val* input) const;
//! Adds an Output to the represented Fusion IR.
void addOutput(Nvf::Val* output) const;
//! Executes a fusion if the current cache pointer points at a terminal node
std::vector<at::Tensor> execute(
const at::ArrayRef<c10::IValue>& inputs) const;
//! Activates a guard around the represented Fusion IR.
Nvf::FusionGuard guard() const;
//! Prints the represented nvFuser IR
void print() const;
private:
//! Provides a pointer to the FusionExecutorCache that maps the current
//! unscheduled Fusion IRs to scheduled Fusion IRs for execution.
Nvf::FusionExecutorCache* fusionExecutorCachePtr() const;
//! Points to the nvFuser Fusion IR object
Nvf::Fusion* fusionPtr() const;
c10::optional<size_t> fusion_id_;
};
} // namespace nvfuser
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