then_branch_lifted_arg_nodes_and_outside_compilation_nodes.size());
  for (const auto& pair :
       then_branch_lifted_arg_nodes_and_outside_compilation_nodes) {
    outside_compilation_nodes.push_back(pair.second);
    then_branch_lifted_arg_nodes.push_back(pair.first);
  }
  for (const auto& pair :
       else_branch_lifted_arg_nodes_and_outside_compilation_nodes) {

  tensorflow::ImportGraphDefResults results;
  TF_RETURN_IF_ERROR(
      ImportGraphDef(opts, gdef, dst_graph, dst_refiner, &results));

  for (const auto& pair : results.return_tensors) {
    return_nodes->emplace_back(pair.first, pair.second);
  }
  return absl::OkStatus();
}

bool ValidateConstWhileParams(const TF_WhileParams& params, TF_Status* s) {

         create_location(node.name(), function_name_for_debug_info_)});
  };

  // For NextIteration nodes, location is used to pair source and sink nodes.
  // Hence, we use node name as location to keep it unique.
  // TODO(prakalps): In future the plan is to use tokens to pair source/sink
  // nodes. Then NextIteration nodes would not need to be handled separately.
  if (node.type_string() == "NextIteration") {

  // indices
  // in the idx map, the value is a pair of offset and size
  absl::flat_hash_map<std::pair<std::vector<int32_t>, std::vector<int32_t>>,
                      std::vector<uint8_t>>
      custom_op_data_map_;
  absl::flat_hash_map<std::pair<std::vector<int32_t>, std::vector<int32_t>>,
                      std::pair<uint64_t, uint64_t>>
      custom_op_idx_map_;

	R_386_TLS_GD        R_386 = 18 /* 32 bit offset to GOT (index,off) pair */
	R_386_TLS_LDM       R_386 = 19 /* 32 bit offset to GOT (index,zero) pair */
	R_386_16            R_386 = 20
	R_386_PC16          R_386 = 21
	R_386_8             R_386 = 22
	R_386_PC8           R_386 = 23
	R_386_TLS_GD_32     R_386 = 24 /* 32 bit offset to GOT (index,off) pair */
	R_386_TLS_GD_PUSH   R_386 = 25 /* pushl instruction for Sun ABI GD sequence */

          - artifactType 'jar'
          - buildType 'release'
          - flavor 'paid'
          - usage 'api'
      - Candidate transform(s):
          - Transform 'BrokenTransform' producing attributes:
              - artifactType 'transformed'
              - buildType 'release'
              - flavor 'paid'
              - usage 'api'
  - From 'configuration ':lib:compile' variant variant3':

      // Left padding + right padding.
      int32_t padding = tfl_pad_values[i * 2] + tfl_pad_values[i * 2 + 1];
      padded_shape[i] += padding;
    }

    return padded_shape;
  }

  std::pair<int64_t, int64_t> GetDimSize(
      const ArrayRef<int64_t> shape, const ArrayRef<int64_t> indexes) const {
    return {shape[indexes[0]], shape[indexes[1]]};
  }

  bool IsTransposeConv(

		case rs&1 != 0:
			c.ctxt.Diag("source register pair must start from even register: %v\n", p)
			break
		case rt&1 != 0:
			c.ctxt.Diag("destination register pair must start from even register: %v\n", p)
			break
		case rs != rs1-1:
			c.ctxt.Diag("source register pair must be contiguous: %v\n", p)
			break
		case rt != rt1-1:
			c.ctxt.Diag("destination register pair must be contiguous: %v\n", p)
			break
		}

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std::optional<xla::Window> InferWindowFromDimensions(
    llvm::SmallVector<int64_t> window_dimensions,
    llvm::SmallVector<int64_t> window_strides,
    llvm::SmallVector<std::pair<int64_t, int64_t>> padding,
    llvm::SmallVector<int64_t> lhs_dilation,
    llvm::SmallVector<int64_t> rhs_dilation) {
  const auto verify_size = [&](const size_t x, const char* x_name) {