func.func @cancellableTranspose(%arg0: tensor<1x4x4x8xf32>) -> tensor<1x4x4x8xf32> {
  %0 = "tf.Const"() {value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32>
  %1 = "tf.Const"() {value = dense<[0, 2, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32>
  %2 = "tf.Transpose"(%arg0, %0) : (tensor<1x4x4x8xf32>, tensor<4xi32>) -> tensor<1x8x4x4xf32>
  %3 = "tf.Transpose"(%2, %1) : (tensor<1x8x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x8xf32>

  %6 = arith.addf %2, %5 : tensor<1x16x1x1xf32>
  func.return %6 : tensor<1x16x1x1xf32>

// CHECK-LABEL: func @avgPool2DChannelFirst
// CHECK:  %cst = arith.constant dense<[0, 2, 3, 1]> : tensor<4xi32>
// CHECK:  %0 = "tfl.transpose"(%arg0, %cst) : (tensor<1x16x6x6xf32>, tensor<4xi32>) -> tensor<1x6x6x16xf32>

						Percentage: 0.1,
					},
				},
				{
					Signal:   evictionapi.SignalNodeFsAvailable,
					Operator: evictionapi.OpLessThan,
					Value: evictionapi.ThresholdValue{
						Percentage: 0.205,
					},
					GracePeriod: gracePeriod,
					MinReclaim: &evictionapi.ThresholdValue{
						Percentage: 0.05,
					},
				},
			},
		},
		"inode eviction values": {

```
# 't' is a tensor of shape [2]
shape(expand_dims(t, 0)) ==> [1, 2]
shape(expand_dims(t, 1)) ==> [2, 1]
shape(expand_dims(t, -1)) ==> [2, 1]

# 't2' is a tensor of shape [2, 3, 5]
shape(expand_dims(t2, 0)) ==> [1, 2, 3, 5]
shape(expand_dims(t2, 2)) ==> [2, 3, 1, 5]
shape(expand_dims(t2, 3)) ==> [2, 3, 5, 1]
```

This operation requires that:

`-1-input.dims() <= dim <= input.dims()`

}{
	// TLBI
	SPOP_VMALLE1IS:    {0, 8, 3, 0, false},
	SPOP_VAE1IS:       {0, 8, 3, 1, true},
	SPOP_ASIDE1IS:     {0, 8, 3, 2, true},
	SPOP_VAAE1IS:      {0, 8, 3, 3, true},
	SPOP_VALE1IS:      {0, 8, 3, 5, true},
	SPOP_VAALE1IS:     {0, 8, 3, 7, true},
	SPOP_VMALLE1:      {0, 8, 7, 0, false},
	SPOP_VAE1:         {0, 8, 7, 1, true},
	SPOP_ASIDE1:       {0, 8, 7, 2, true},
	SPOP_VAAE1:        {0, 8, 7, 3, true},