Moving gradient registration for CudnnRNN op from contrib to core.

PiperOrigin-RevId: 193234663

1 files changed, 0 insertions, 25 deletions

diff --git a/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py b/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py
index c28c3a18e4..b615824460 100644
--- a/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py
+++ b/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py
@@ -1640,31 +1640,6 @@ class CudnnRNNRelu(_CudnnRNNNoInputC):
   _NUM_PARAMS_PER_LAYER = CUDNN_RNN_RELU_PARAMS_PER_LAYER
 
 
-@ops.RegisterGradient("CudnnRNN")
-def _cudnn_rnn_backward(op, *grad):
-  if not op.get_attr("is_training"):
-    raise ValueError(
-        "CudnnRNN must set is_training to True to be used in gradients")
-  return gen_cudnn_rnn_ops.cudnn_rnn_backprop(
-      input=op.inputs[0],
-      input_h=op.inputs[1],
-      input_c=op.inputs[2],
-      params=op.inputs[3],
-      output=op.outputs[0],
-      output_h=op.outputs[1],
-      output_c=op.outputs[2],
-      output_backprop=grad[0],
-      output_h_backprop=grad[1],
-      output_c_backprop=grad[2],
-      reserve_space=op.outputs[3],
-      dropout=op.get_attr("dropout"),
-      seed=op.get_attr("seed"),
-      seed2=op.get_attr("seed2"),
-      rnn_mode=op.get_attr("rnn_mode"),
-      input_mode=op.get_attr("input_mode"),
-      direction=op.get_attr("direction"))
-
-
 ops.RegisterShape("CudnnRNNParamsSize")(common_shapes.call_cpp_shape_fn)
 ops.RegisterShape("CudnnRNNParamsToCanonical")(common_shapes.call_cpp_shape_fn)
 ops.RegisterShape("CudnnRNNCanonicalToParams")(common_shapes.call_cpp_shape_fn)