From 859e47fd8ebcdd7fb1411fd0090d0e95a801e7cb Mon Sep 17 00:00:00 2001
From: Xiaoqiang Zheng <zhengxq@google.com>
Date: Fri, 19 Aug 2016 10:01:32 -0800
Subject: Add stream-executor changes to enable Cudnn fused LSTM/RNN support.
 Change: 130770287

---
 .../stream_executor/stream_executor_pimpl.cc       | 42 ++++++++++++++++++++++
 1 file changed, 42 insertions(+)

(limited to 'tensorflow/stream_executor/stream_executor_pimpl.cc')

diff --git a/tensorflow/stream_executor/stream_executor_pimpl.cc b/tensorflow/stream_executor/stream_executor_pimpl.cc
index 07dc375ef4..2fdd1e4b49 100644
--- a/tensorflow/stream_executor/stream_executor_pimpl.cc
+++ b/tensorflow/stream_executor/stream_executor_pimpl.cc
@@ -309,6 +309,48 @@ bool StreamExecutor::GetConvolveBackwardFilterAlgorithms(
   return dnn_support->GetConvolveBackwardFilterAlgorithms(out_algorithms);
 }
 
+port::StatusOr<std::unique_ptr<dnn::RnnDescriptor>>
+StreamExecutor::createRnnDescriptor(
+    int num_layers, int hidden_size, int input_size,
+    dnn::RnnInputMode input_mode, dnn::RnnDirectionMode direction_mode,
+    dnn::RnnMode rnn_mode, dnn::DataType data_type, float dropout, uint64 seed,
+    ScratchAllocator *state_allocator) {
+  dnn::DnnSupport *dnn_support = AsDnn();
+  if (!dnn_support) {
+    return port::Status(port::error::UNKNOWN,
+                        "Fail to find the dnn implementation.");
+  }
+  return dnn_support->createRnnDescriptor(
+      num_layers, hidden_size, input_size, input_mode, direction_mode, rnn_mode,
+      data_type, dropout, seed, state_allocator);
+}
+
+port::StatusOr<std::unique_ptr<dnn::RnnSequenceTensorDescriptor>>
+StreamExecutor::createRnnSequenceTensorDescriptor(int seq_length,
+                                                  int batch_size, int data_size,
+                                                  dnn::DataType data_type) {
+  dnn::DnnSupport *dnn_support = AsDnn();
+  if (!dnn_support) {
+    return port::Status(port::error::UNKNOWN,
+                        "Fail to find the dnn implementation.");
+  }
+  return dnn_support->createRnnSequenceTensorDescriptor(seq_length, batch_size,
+                                                        data_size, data_type);
+}
+
+port::StatusOr<std::unique_ptr<dnn::RnnStateTensorDescriptor>>
+StreamExecutor::createRnnStateTensorDescriptor(int num_layer, int batch_size,
+                                               int data_size,
+                                               dnn::DataType data_type) {
+  dnn::DnnSupport *dnn_support = AsDnn();
+  if (!dnn_support) {
+    return port::Status(port::error::UNKNOWN,
+                        "Fail to find the dnn implementation.");
+  }
+  return dnn_support->createRnnStateTensorDescriptor(num_layer, batch_size,
+                                                     data_size, data_type);
+}
+
 dnn::DnnSupport *StreamExecutor::AsDnn() {
   mutex_lock lock{mu_};
   if (dnn_ != nullptr) {
-- 
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