namespace tac {

// Returns true if 'op' is supported to run on 'hardware'.
bool IsSupported(Operation* op, const std::string& hardware);

// Return proper rewriter patterns for different hardwares.
RewritePatternSet GetHardwareRewritePatterns(MLIRContext* context,
                                             const std::string& hardware);

// Convert quantized ops to float, this will essentially insert dequantize &
// quantize pair around the op.

namespace mlir {
namespace TFL {
namespace tac {
namespace {
#include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/generated_transform_patterns.inc"
}  // namespace

RewritePatternSet GetHardwareRewritePatterns(MLIRContext* context,
                                             const std::string& hardware) {
  auto* devce_hardware = GetTargetHardware(hardware);
  if (devce_hardware == nullptr) return {context};

}

void AlternativeSubgraphPass::Optimize(func::FuncOp func,
                                       const std::string& hardware) {
  auto* ctx = &getContext();
  RewritePatternSet patterns = GetHardwareRewritePatterns(ctx, hardware);
  (void)applyPatternsAndFoldGreedily(func, std::move(patterns));
}

// Get the alternative view of the func for the given device_inference_type.