*   RNG behavior change for `tf.keras.initializers`. Keras initializers will now
    use stateless random ops to generate random numbers.
    *   Both seeded and unseeded initializers will always generate the same
        values every time they are called (for a given variable shape). For
        unseeded initializers (`seed=None`), a random seed will be created and
        assigned at initializer creation (different initializer instances get

}

def TF_InitializeTableOp : TF_Op<"InitializeTable", []> {
  let summary = [{
Table initializer that takes two tensors for keys and values respectively.
  }];

  let arguments = (ins
    Arg<TF_StrTensor, [{Handle to a table which will be initialized.}], [TF_LookupTableWrite]>:$table_handle,
    Arg<TF_Tensor, [{Keys of type Tkey.}]>:$keys,

              {
                "$ref": "#/components/schemas/io.k8s.api.core.v1.Probe"
              }
            ],