# Default paths for TF_SYSTEM_LIBS
build:linux --define=PREFIX=/usr
build:linux --define=LIBDIR=$(PREFIX)/lib
build:linux --define=INCLUDEDIR=$(PREFIX)/include
build:linux --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include
build:macos --define=PREFIX=/usr
build:macos --define=LIBDIR=$(PREFIX)/lib
build:macos --define=INCLUDEDIR=$(PREFIX)/include
build:macos --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include

    %cst_2 = "tfl.no_value"() {value = unit} : () -> none
    %cst_3 = arith.constant dense<1.0> : tensor<20x20xf32>
    %cst_7 = arith.constant dense<1.0> : tensor<20xf32>
    %cst_11 = arith.constant dense<1.0> : tensor<20x28xf32>
    %recurrent_input = arith.constant dense<1.0> : tensor<1x20xf32>
    %recurrent_stats = "quantfork.stats"(%recurrent_input) {layerStats = dense<[-2.0, 1.0]> : tensor<2xf32>} : (tensor<1x20xf32>) -> tensor<1x20xf32>

func.func @dot_general_with_bias_same_shape_and_relu6_fn(%arg0: tensor<1x1x167xf32>) -> tensor<1x1x64xf32> {
  %0 = stablehlo.constant dense<2.000000e+00> : tensor<167x64xf32>
  %1 = stablehlo.constant dense<2.000000e+00> : tensor<1x1x64xf32>
  %2 = stablehlo.constant dense<0.000000e+00> : tensor<1x1x64xf32>
  %3 = stablehlo.constant dense<6.000000e+00> : tensor<1x1x64xf32>

  %cst = "tf.Const"() {device = "", value = dense<[1, 0, 1]> : tensor<3xi32>} : () -> tensor<3xi32>
  %cst_0 = "tf.Const"() {device = "", value = dense<[1, 0, 0]> : tensor<3xi32>} : () -> tensor<3xi32>
  %cst_1 = "tf.Const"() {device = "", value = dense<1> : tensor<3xi32>} : () -> tensor<3xi32>

  // CHECK-DAG: %[[CST:.*]] = arith.constant dense<[1, 0, 0, 1]> : tensor<4xi32>

    %cst_0 = stablehlo.constant dense<3> : tensor<1xi32>
    %cst_1 = stablehlo.constant dense<4> : tensor<1xi32>
    %cst_2 = stablehlo.constant dense<2> : tensor<1xi32>
    %cst_3 = stablehlo.constant dense<0.000000e+00> : tensor<f32>
    %cst_4 = stablehlo.constant dense<6.000000e+00> : tensor<f32>

  %outputs = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<1xi32>
  %outputs_0 = "tf.Const"() {value = dense<224> : tensor<2xi32>} : () -> tensor<2xi32>
  %outputs_2 = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>
  %outputs_4 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32>
  %outputs_6 = "tf.Const"() {value = dense<0> : tensor<1xi32>} : () -> tensor<1xi32>

func.func @prepareStatistics(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
  %0 = "quantfork.stats"(%arg0) {
    layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>
  } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
  %1 = "quantfork.stats"(%0) {
    layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
    axisStats = dense<[
      [-1.0, 1.0],
      [-8.0, 8.0],
      [-0.5, 0.5]
    ]> : tensor<3x2xf32>, axis = 2 : i64

      %cst_4 = arith.constant dense<[0, 0, 1, 1, 1]> : tensor<5xi32>
      %cst_5 = arith.constant dense<[0, 1, 0, 1, 1]> : tensor<5xi32>
      %cst_6 = arith.constant dense<2> : tensor<i32>
      %cst_7 = arith.constant dense<"*"> : tensor<!tf_type.string>
      %cst_8 = arith.constant dense<-1> : tensor<1xi32>
      %cst_9 = arith.constant dense<-1> : tensor<i32>

#define NEED_EXT_FEATURES_CX V2_EXT_FEATURES_CX
#endif

#ifdef GOAMD64_v3
#define NEED_MAX_CPUID 0x80000001
#define NEED_FEATURES_CX V3_FEATURES_CX
#define NEED_EXT_FEATURES_CX V3_EXT_FEATURES_CX
#define NEED_EXT_FEATURES_BX V3_EXT_FEATURES_BX
#define NEED_OS_SUPPORT_AX V3_OS_SUPPORT_AX
#endif

#ifdef GOAMD64_v4
#define NEED_MAX_CPUID 0x80000001
#define NEED_FEATURES_CX V4_FEATURES_CX

func.func @decomposition_outside_cluster() {
  %0 = "tf.VarHandleOp"() {container = "c", shared_name = "v"} : () -> tensor<*x!tf_type.resource<tensor<2x8xi32>>>
  // CHECK:      %[[ONE:.*]] = "tf.Const"() <{value = dense<1> : tensor<i32>}>
  %1 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
  // CLUSTER-ONLY: "tf.AssignAddVariableOp"
  // ALWAYS-DECOMPOSE-NOT:  "tf.AssignAddVariableOp"