let summary = "Computes rectified linear gradients for a Relu operation.";

  let arguments = (ins
    Arg<TF_IntOrFpTensor, [{The backpropagated gradients to the corresponding Relu operation.}]>:$gradients,
    Arg<TF_IntOrFpTensor, [{The features passed as input to the corresponding Relu operation, OR
the outputs of that operation (both work equivalently).}]>:$features
  );

    to matrix multiplication and convolution, these building blocks include:
    Direct batched convolution Pooling: maximum, minimum, average Normalization:
    LRN, batch normalization Activation: rectified linear unit (ReLU) Data
    manipulation: multi-dimensional transposition (conversion), split, concat,
    sum and scale.

*   TensorForest Estimator now supports SavedModel export for serving.