message: Add auto generated TensorFlow SparseSoftmaxCrossEntropyWithLogits op
diff: @@ -5207,6 +5207,34 @@ x = [[[[1, 2, 3, 4],
  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
  }
  +def TF_SparseSoftmaxCrossEntropyWithLogitsOp : TF_Op<"SparseSoftmaxCrossEntropyWithLogits", [NoSideEffect]> {
  + let summary = [{
  +Computes softmax cross entropy cost and gradients to backpropagate.
  + }];
  +
  + let description = [{
  +Unlike `SoftmaxCrossEntropyWithLogits`, this operation does not accept
  +a matrix of label probabilities, but rather a single label per row
  +of features. This label is considered to have probability 1.0 for the
  +given row.
  +
  +Inputs are the logits, not probabilities.
  + }];
  +
  + let arguments = (ins
  + TF_FpTensor:$features,
  + TF_I32OrI64Tensor:$labels
  + );
  +
  + let results = (outs
  + TF_FpTensor:$loss,
  + TF_FpTensor:$backprop
  + );
  +
  + TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
  + TF_DerivedOperandTypeAttr Tlabels = TF_DerivedOperandTypeAttr<1>;
  +}
  +
  def TF_SparseToDenseOp : TF_Op<"SparseToDense", [NoSideEffect]> {
  let summary = "Converts a sparse representation into a dense tensor.";
  