(MUL(Q|L)const [-3] x) => (NEG(Q|L) (LEA(Q|L)2 <v.Type> x x))
(MUL(Q|L)const [-1] x) => (NEG(Q|L) x)
(MUL(Q|L)const [ 0] _) => (MOV(Q|L)const [0])
(MUL(Q|L)const [ 1] x) => x
(MUL(Q|L)const [ 3] x) => (LEA(Q|L)2 x x)
(MUL(Q|L)const [ 5] x) => (LEA(Q|L)4 x x)
(MUL(Q|L)const [ 7] x) => (LEA(Q|L)2 x (LEA(Q|L)2 <v.Type> x x))
(MUL(Q|L)const [ 9] x) => (LEA(Q|L)8 x x)

	// imports
	imports      map[string]int
	hasDotImp    bool // if set, package contains a dot import
	importByName map[string]string

	// declarations
	values []*Value // consts and vars
	order  int      // sort order of const and var declarations (when we can't use a name)
	types  map[string]*namedType
	funcs  methodSet

	// support for package-local shadowing of predeclared types
	shadowedPredecl map[string]bool

// CHECK-DAG: %[[CONST:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<2xf32>}> : () -> tensor<2xf32>
// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<5.000000e-01> : tensor<2xf32>}> : () -> tensor<2xf32>

		{"Reader", Type, 0},
		{"TypeBlock", Const, 0},
		{"TypeChar", Const, 0},
		{"TypeCont", Const, 0},
		{"TypeDir", Const, 0},
		{"TypeFifo", Const, 0},
		{"TypeGNULongLink", Const, 1},
		{"TypeGNULongName", Const, 1},
		{"TypeGNUSparse", Const, 3},
		{"TypeLink", Const, 0},
		{"TypeReg", Const, 0},
		{"TypeRegA", Const, 0},
		{"TypeSymlink", Const, 0},
		{"TypeXGlobalHeader", Const, 0},
		{"TypeXHeader", Const, 0},

};

inline const QuantizationDetails (&EnumValuesQuantizationDetails())[2] {
  static const QuantizationDetails values[] = {
    QuantizationDetails_NONE,
    QuantizationDetails_CustomQuantization
  };
  return values;
}

inline const char * const *EnumNamesQuantizationDetails() {
  static const char * const names[3] = {
    "NONE",
    "CustomQuantization",

    return absl::UnimplementedError("Session::Create()");
  }
  Status Extend(const RunOptions& run_options, const GraphDef& graph) override {
    return absl::UnimplementedError("Session::Extend()");
  }
  Status Create(const RunOptions& run_options, GraphDef&& graph) override {
    return absl::UnimplementedError("Session::Create()");
  }

}
Status SetAttrTensor(AbstractOperation* op_, const char* attr_name,
                     AbstractTensorInterface* tensor,
                     ForwardOperation* forward_op_) {
  return tensorflow::errors::Unimplemented(
      "SetAttrTensor has not been implemented yet.");
}
Status SetAttrStringList(AbstractOperation* op_, const char* attr_name,
                         const void* const* values, const size_t* lengths,

}

Status ClientSession::Run(
    const RunOptions& run_options, const FeedType& inputs,
    const std::vector<Output>& fetch_outputs,
    const std::vector<Operation>& run_outputs, std::vector<Tensor>* outputs,
    RunMetadata* run_metadata,
    const thread::ThreadPoolOptions& threadpool_options) const {
  std::vector<std::pair<string, Tensor>> feeds;
  for (auto const& feed : inputs) {

    return static_cast<const float*>(arg_data(2));
  }
  const float& var_myvar_readonly() {
    return (*static_cast<const float(*)[1]>(
        arg_data(2)))[0];
  }
  const float* var_myvar_readonly_data() const {
    return static_cast<const float*>(arg_data(2));
  }
  const float& var_myvar_readonly() const {
    return (*static_cast<const float(*)[1]>(
        arg_data(2)))[0];
  }

#include "tensorflow/core/util/dump_graph.h"

namespace tensorflow {

const char* const kXlaCompiledKernelAttr = "_XlaCompiledKernel";
const char* const kXlaNumConstantArgsAttr = "_XlaNumConstantArgs";
const char* const kXlaNumResourceArgsAttr = "_XlaNumResourceArgs";
const char* const kXlaHostTransferSequencerAttr =
    "_xla_host_transfer_sequencer";
const char* const kXlaHasReferenceVarsAttr = "_XlaHasReferenceVars";

namespace {