-> tensor<1x1x64x64xf32>

  func.return %0 : tensor<1x1x64x64xf32>
}

// CHECK-LABEL: func @transposeConv2DBackpropFilter_f16
func.func @transposeConv2DBackpropFilter_f16(
  %input:        tensor<1x64x28x28xf16>,
  %filter_size:  tensor<4xi32>,
  %out_backprop: tensor<1x64x28x28xf16>
) -> tensor<1x1x64x64xf16> {

  // CHECK: "tf.Conv2DBackpropFilter"

         strides = [1, 1, 1, 1]
       } : (tensor<1x28x28x64xf16>, tensor<4xi32>, tensor<1x28x28x64xf16>)
        -> tensor<1x1x64x64xf16>

  func.return %0 : tensor<1x1x64x64xf16>
}

// CHECK-LABEL: func @transposeConv2DBackpropInput_f16
func.func @transposeConv2DBackpropInput_f16(
  %input_size:   tensor<4xi32>,
  %filter:       tensor<1x28x28x64xf16>,
  %out_backprop: tensor<1x28x28x64xf16>
) -> tensor<1x28x28x64xf16> {

  return %1 : tensor<4x8x64x64xf32>
}
func.func private @XlaCallModule_tfl.resize_nearest_neighbor.impl_1(%arg0: tensor<4x8x32x32xf32>) -> tensor<4x8x64x64xf32> {
  %0 = call @XlaCallModule__resize_1(%arg0) : (tensor<4x8x32x32xf32>) -> tensor<4x8x64x64xf32>
  return %0 : tensor<4x8x64x64xf32>
}

  func.return %1 : tensor<1x4x64x64xf32>
}

// CHECK-LABEL: @AvoidPadStridedSliceNewAxisMaskOnUnknownShapes
func.func @AvoidPadStridedSliceNewAxisMaskOnUnknownShapes(%arg0: tensor<?x?xf32>) -> tensor<1x?x?x1xf32> {