// 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]]

// Test invalid tf.ToBool
func.func @testInvalidToBool(%arg0: tensor<i32>) -> tensor<1xi1> {
  // expected-error @+2 {{'tf.ToBool' op failed to infer returned types}}
  // expected-error @+1 {{op inferred type(s) 'tensor<i1>' are incompatible with return type(s) of operation 'tensor<1xi1>'}}
  %0 = "tf.ToBool"(%arg0) : (tensor<i32>) -> tensor<1xi1>
  func.return %0 : tensor<1xi1>
}

// -----

  // CHECK: tf.Conv2DBackpropInput
}

func.func @assert_remove(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<1xi1> {
  %0 = "tf.LessEqual"(%arg0, %arg1) : (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi1>
  "tf.Assert"(%0, %arg1) {summarize = 3} : (tensor<1xi1>, tensor<1xi32>) -> ()
  func.return %0 : tensor<1xi1>
  // CHECK-LABEL: assert_remove
  // CHECK: tfl.less_equal
  // CHECK-NOT: Assert
  // CHECK: return
}

}

// -----

// CHECK-LABEL: func @bitcast_smaller_input_width
func.func @bitcast_smaller_input_width(%arg0: tensor<8xi8>) -> tensor<i64> {
  // CHECK:  mhlo.bitcast_convert %arg0 : (tensor<8xi8>) -> tensor<i64>
  %0 = "tf.Bitcast"(%arg0) : (tensor<8xi8>) -> tensor<i64>
  func.return %0 : tensor<i64>
}

// -----

// CHECK-LABEL: func @bitcast_smaller_output_width

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