}

// Broadcasts `input` to the shape of `broadcast_to` value following
// TF::BroadcastTo semantics.
//
// Requires that input is a ranked tensor.
//
// TODO(hinsu): Utilize TF::ShapeOp followed by TF::BroadcastTo once ShapeOp
// supports unranked inputs in the lowering.
static Value BroadcastToShapeOf(Location loc, Value input, Value broadcast_to,

// CHECK-SAME: [[INPUT:%.*]]: tensor<1x?xf32>
func.func @random_shuffle_first_dim_1(%input: tensor<1x?xf32>) -> tensor<1x?xf32> {
  %0 = "tf.RandomShuffle"(%input) : (tensor<1x?xf32>) -> (tensor<1x?xf32>)
  // CHECK-NEXT: return [[INPUT]]
  func.return %0: tensor<1x?xf32>
}

// -----

// CHECK-LABEL: @random_shuffle_1D_16
// CHECK-SAME: [[INPUT:%.*]]: tensor<16xf32>

}

// CHECK-LABEL: @FuseReshapeAroundBMMRHS
func.func @FuseReshapeAroundBMMRHS(%arg0: tensor<1x3x6x5x1024xf32>) -> tensor<1x3x6x5x8192xf32> attributes {tf.entry_function = {control_outputs = "", inputs = "inputs", outputs = "Identity_1"}} {
  %cst = arith.constant dense_resource<__elided__> : tensor<1x1024x8192xf32>
  %cst_0 = arith.constant dense_resource<__elided__> : tensor<5xi32>

ue;return s}a=r}return!1}unclosedBracket(e){throw this.input.error("Unclosed bracket",{offset:e[2]},{offset:e[2]+1})}unknownWord(e){throw this.input.error("Unknown word",{offset:e[0][2]},{offset:e[0][2]+e[0][1].length})}unexpectedClose(e){throw this.input.error("Unexpected }",{offset:e[2]},{offset:e[2]+1})}unclosedBlock(){let e=this.current.source.start;throw this.input.error("Unclosed block",e.line,e.column)}doubleColon(e){throw this.input.error("Double colon",{offset:e[2]},{offset:e[2]+e[1].le...

// the global allocation state of the cluster. The schema of Range and Data generic, in that Range
// should be a string representation of the inputs to a range (for instance, for IP allocation it
// might be a CIDR) and Data is an opaque blob understood by an allocator which is typically a

- [`KT-65571`](https://youtrack.jetbrains.com/issue/KT-65571) Support VirtualFile inputs to Analysis API modules
- [`KT-66485`](https://youtrack.jetbrains.com/issue/KT-66485) Substituted types are not provided for callable references

  %0 = "tf.Const"() {value = dense<"Inputs must have identical ragged splits"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
  %1 = "tf.Const"() {value = dense<"Condition x == y did not hold element-wise:"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>