);

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_FFTOp : TF_Op<"FFT", [Pure]> {
  let summary = "Fast Fourier transform.";

  let description = [{
Computes the 1-dimensional discrete Fourier transform over the inner-most
dimension of `input`.
  }];

  let arguments = (ins
    Arg<TensorOf<[TF_Complex128, TF_Complex64]>, [{A complex tensor.}]>:$input
  );

*   Add `tf.contrib.bayesflow.metropolis_hastings`.
*   Add `log_rate` parameter to `tf.contrib.distributions.Poisson`.
*   Extend `tf.contrib.distributions.bijector` API to handle some non-injective
    transforms.
*   Java:
    *   Generics (e.g., `Tensor<Integer>`) for improved type-safety (courtesy
        @andrewcmyers).
    *   Support for multi-dimensional string tensors.

Class <org.gradle.model.dsl.internal.transform.ClosureBackedRuleFactory> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (ClosureBackedRuleFactory.java:0)