// CHECK: %[[UNPACK:.*]]:2 = "tf.Unpack"(%[[NEG]]) <{axis = 1 : i64}> {device = ""}
  %unpacked:2 = "tf.Unpack"(%arg0) {axis = 1 : i64, device = ""}
                : (tensor<?x2xf32>) -> (tensor<?xf32>, tensor<?xf32>)
  %0 = "tf.Neg"(%unpacked#0): (tensor<?xf32>) -> tensor<?xf32>
  %1 = "tf.Neg"(%unpacked#1): (tensor<?xf32>) -> tensor<?xf32>

  // CHECK: return %[[UNPACK]]#0, %[[UNPACK]]#1

  return success();
}

namespace {

// Hoist coefficient-wise unary operation out of the Unpack op:
//
//   %unpacked:N = "tf.Unpack"(%0)
//   %neg0 = "tf.Neg"(%unpacked#0)
//   %neg1 = "tf.Neg"(%unpacked#1)
//   ...
//   %negN-1 = "tf.Neg"(%unpacked:N-1)
//
// Rewrite it to:
//
//   %neg = "tf.Neg"(%0)
//   %unpacked:N = "tf.Unpack"(%neg)

    If `axis == 0` then the i'th tensor in `output` is the slice `value[i, :, :, :]`
      and each tensor in `output` will have shape `(B, C, D)`. (Note that the
      dimension unpacked along is gone, unlike `split`).

    If `axis == 1` then the i'th tensor in `output` is the slice `value[:, i, :, :]`
      and each tensor in `output` will have shape `(A, C, D)`.
    Etc.

//
// The -testcache flag causes clean to expire all test results in the
// go build cache.
//
// The -modcache flag causes clean to remove the entire module
// download cache, including unpacked source code of versioned
// dependencies.
//
// The -fuzzcache flag causes clean to remove files stored in the Go build
// cache for fuzz testing. The fuzzing engine caches files that expand