func.func @testLogicalAndDoesntFoldWithConstantFalseBroadcast(%arg0: tensor<2xi1>) -> (tensor<2xi1>) {
  %cst = arith.constant dense<false> : tensor<i1>

  // CHECK: %[[LOGICAL_AND:.*]] = "tf.LogicalAnd"
  %0 = "tf.LogicalAnd"(%cst, %arg0) : (tensor<i1>, tensor<2xi1>) -> tensor<2xi1>

  // CHECK: return %[[LOGICAL_AND]]
  func.return %0: tensor<2xi1>
}

// -----

// GlobalIterId should not be constant folded

  }

  // CHECK-LABEL: func @greater
  func.func @greater(%arg0: tensor<2xi32>, %arg1: tensor<2xi32>) -> tensor<2xi1> {
    // CHECK-NEXT:  mhlo.compare GT, %arg0, %arg1
    %0 = "tf.Greater"(%arg0, %arg1) : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi1>
    func.return %0: tensor<2xi1>
  }

  // CHECK-LABEL: batchmatmulv2

// CHECK-LABEL: fused_conv2d
func.func @fused_conv2d(%input: tensor<1x300x300x40xi8>,
                        %filter: tensor<3x3x40x40xi8>,
                        %bias: tensor<40xf32>,
                        %act: tensor<0xi8>) -> tensor<1x300x300x40xi8> {

  // CHECK:       %[[v0:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32>
  // CHECK-NEXT:  %[[v1:.*]] = mhlo.constant dense<2.000000e+00> : tensor<f32>

// CHECK: %[[maxpool:.*]] = "tf.MaxPool"(%[[conv_quant]]) <{data_format = "NHWC", ksize = [1, 2, 2, 1], padding = "VALID", strides = [1, 1, 1, 1]}> : (tensor<*xi8>) -> tensor<*xi8>
// CHECK: %[[dequantize:.*]] = "tf.PartitionedCall"(%[[maxpool]]
// CHECK-SAME: f = @dequantize_i8
// CHECK: return %[[dequantize]]

    %26 = "tf.Cast"(%25) {Truncate = false} : (tensor<2xi64>) -> tensor<2xf32>
    %27 = "tf.Equal"(%14, %26) {incompatible_shape_error = true} : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xi1>
    %28 = "tf.Cast"(%27) {Truncate = false} : (tensor<2xi1>) -> tensor<2xf32>
    %29 = "tf.Sum"(%28, %6) {keep_dims = false} : (tensor<2xf32>, tensor<1xi32>) -> tensor<f32>
    %30 = "tf.CrossReplicaSum"(%29, %3) : (tensor<f32>, tensor<1x2xi32>) -> tensor<f32>

    %cst_7 = "tfl.pseudo_qconst"() {qtype = tensor<20x!quant.uniform<i8:f32, 0.006:-34>>, value = dense<1> : tensor<20xi8>} : () -> tensor<20x!quant.uniform<i8:f32, 0.006:-34>>
    %cst_11 = "tfl.pseudo_qconst"() {qtype = tensor<20x28x!quant.uniform<i8:f32, 0.006:-34>>, value = dense<1> : tensor<20x28xi8>} : () -> tensor<20x28x!quant.uniform<i8:f32, 0.006:-34>>

ÚûR¸¬+Ke4­7qV „ D [ßTs’…[La„ ReÎÚS S ²øNzÐI 1½i_t¸sñ•fSOG•}axgY1\eòuh¿URg\ãteñjW™oWZåKZD_³I\ã Hs7o]f_@é–rD}vƒ±<ê Hº}ñre¸osQZôu^] poMßseòxiDq]p®ö^ » %eOrñs{Bv€¡ûp@oK]^ô „TW`¼ ûR? ¨[tˆˆ‚«æq@Œ+_lpkSIˆ^ñ @I¾¦fW pPc{^<ˆâïò û@ ; OPmyßt}æ^IªêVkq ^pu²vñ^Ty[Sxi8¿l ’Œ€à@DK~Ô^zÜJ ¨™1|vž}û\–iY»ÕmP\ep—÷SlûY¡\ïTmG_s™Ùs`H{_}©GEì´Œ»SqòSa¸ïL}ÂbDR^Ì ÕO„V^e¼Bñjhñqkxé°{W_÷E@JˆVk<‚Åò y¦Õ^kh~ ô[Rg¢?qr› †ÕsHrïpŠQR¾xPe¨¹yndñ E¾Ri]Ü ª m|jqme¨àr 2Jdª}gVPªzæi¾LK^j¼VU VdC²HHg@e¼Yp8ì[Negz{Öa€uV¢Qrûcf¼csM¼SGTܤ%ûX; „^y²IRñre¸fO^...