Support float64 CuDNN RNN

PiperOrigin-RevId: 162412879

1 files changed, 75 insertions, 0 deletions

diff --git a/tensorflow/stream_executor/stream.cc b/tensorflow/stream_executor/stream.cc
index 9b4a4c4fb1..5996195173 100644
--- a/tensorflow/stream_executor/stream.cc
+++ b/tensorflow/stream_executor/stream.cc
@@ -4388,6 +4388,39 @@ Stream &Stream::ThenRnnForward(
   return *this;
 }
 
+Stream &Stream::ThenRnnForward(
+    const dnn::RnnDescriptor &rnn_desc,
+    const dnn::RnnSequenceTensorDescriptor &input_desc,
+    const DeviceMemory<double> &input_data,
+    const dnn::RnnStateTensorDescriptor &input_h_desc,
+    const DeviceMemory<double> &input_h_data,
+    const dnn::RnnStateTensorDescriptor &input_c_desc,
+    const DeviceMemory<double> &input_c_data,
+    const DeviceMemory<double> &params,
+    const dnn::RnnSequenceTensorDescriptor &output_desc,
+    DeviceMemory<double> *output_data,
+    const dnn::RnnStateTensorDescriptor &output_h_desc,
+    DeviceMemory<double> *output_h_data,
+    const dnn::RnnStateTensorDescriptor &output_c_desc,
+    DeviceMemory<double> *output_c_data, bool is_training,
+    ScratchAllocator *reserve_space_allocator,
+    ScratchAllocator *workspace_allocator) {
+  // TODO(zhengxq): add VLOG PARAM calls.
+  if (ok()) {
+    if (dnn::DnnSupport *dnn = parent_->AsDnn()) {
+      CheckError(dnn->DoRnnForward(
+          this, rnn_desc, input_desc, input_data, input_h_desc, input_h_data,
+          input_c_desc, input_c_data, params, output_desc, output_data,
+          output_h_desc, output_h_data, output_c_desc, output_c_data,
+          is_training, reserve_space_allocator, workspace_allocator));
+    } else {
+      SetError();
+      LOG(WARNING) << "Attempting to call ThenRnnForward without DNN support";
+    }
+  }
+  return *this;
+}
+
 Stream &Stream::ThenRnnBackward(
     const dnn::RnnDescriptor &rnn_desc,
     const dnn::RnnSequenceTensorDescriptor &input_desc,
@@ -4429,6 +4462,48 @@ Stream &Stream::ThenRnnBackward(
   return *this;
 }
 
+Stream &Stream::ThenRnnBackward(
+    const dnn::RnnDescriptor &rnn_desc,
+    const dnn::RnnSequenceTensorDescriptor &input_desc,
+    const DeviceMemory<double> &input_data,
+    const dnn::RnnStateTensorDescriptor &input_h_desc,
+    const DeviceMemory<double> &input_h_data,
+    const dnn::RnnStateTensorDescriptor &input_c_desc,
+    const DeviceMemory<double> &input_c_data,
+    const DeviceMemory<double> &params,
+    const dnn::RnnSequenceTensorDescriptor &output_desc,
+    const DeviceMemory<double> &output_data,
+    const dnn::RnnStateTensorDescriptor &output_h_desc,
+    const DeviceMemory<double> &output_h_data,
+    const dnn::RnnStateTensorDescriptor &output_c_desc,
+    const DeviceMemory<double> &output_c_data,
+    const DeviceMemory<double> &output_backprop_data,
+    const DeviceMemory<double> &output_h_backprop_data,
+    const DeviceMemory<double> &output_c_backprop_data,
+    DeviceMemory<double> *input_backprop_data,
+    DeviceMemory<double> *input_h_backprop_data,
+    DeviceMemory<double> *input_c_backprop_data,
+    DeviceMemory<double> *params_backprop_data,
+    DeviceMemory<uint8> *reserve_space_data,
+    ScratchAllocator *workspace_allocator) {
+  // TODO(zhengxq): add VLOG PARAM calls.
+  if (ok()) {
+    if (dnn::DnnSupport *dnn = parent_->AsDnn()) {
+      CheckError(dnn->DoRnnBackward(
+          this, rnn_desc, input_desc, input_data, input_h_desc, input_h_data,
+          input_c_desc, input_c_data, params, output_desc, output_data,
+          output_h_desc, output_h_data, output_c_desc, output_c_data,
+          output_backprop_data, output_h_backprop_data, output_c_backprop_data,
+          input_backprop_data, input_h_backprop_data, input_c_backprop_data,
+          params_backprop_data, reserve_space_data, workspace_allocator));
+    } else {
+      SetError();
+      LOG(WARNING) << "Attempting to call ThenRnnBackward without DNN support";
+    }
+  }
+  return *this;
+}
+
 Stream &Stream::ThenTransformTensor(const dnn::BatchDescriptor &input_desc,
                                     dnn::DataType input_type,
                                     const DeviceMemoryBase &input_data,