1 files changed, 90 insertions, 0 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_common.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_common.cpp
new file mode 100644
index 0000000000..537084db91
--- /dev/null
+++ b/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_common.cpp
@@ -0,0 +1,90 @@
+/*******************************************************************************
+* Copyright 2018 Intel Corporation
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*     http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*******************************************************************************/
+
+/*
+ * Common for RNN and LSTM cell execution
+ */
+#include "ref_rnn.hpp"
+
+namespace mkldnn {
+namespace impl {
+namespace cpu {
+using namespace rnn_utils;
+
+template <prop_kind_t aprop, data_type_t src_type, data_type_t weights_type>
+rnn_cell_execution_sig(
+        (_ref_rnn_common_t<aprop, src_type, weights_type>::cell_execution)) {
+    if (!rnn.merge_gemm_layer) {
+        (this->*gemm_layer_func)('N', 'N', rnn.n_gates * rnn.dic, rnn.mb,
+                rnn.slc, 1.0, w_layer_[0], rnn.weights_layer_ld,
+                states_t_lm1_, rnn.states_ws_ld, 0.0, ws_gates_,
+                rnn.gates_ws_ld);
+    }
+    (this->*gemm_iter_func)('N', 'N', rnn.n_gates * rnn.dic, rnn.mb, rnn.sic,
+            1.0, w_iter_[0], rnn.weights_iter_ld, states_tm1_l_,
+            rnn.states_ws_ld, 1.0, ws_gates_, rnn.gates_ws_ld);
+
+    if (rnn_postgemm_ != nullptr)
+        rnn_postgemm_->execute<src_data_t, acc_data_t>(rnn, ws_gates_, states_t_l_, c_states_t_l_,
+            states_tm1_l_, c_states_tm1_l_, diff_states_t_l_,
+            diff_states_t_lp1_, diff_states_tp1_l_, bias_[0], ws_grid_,
+            ws_cell_);
+    else
+        (this->*elemwise_func)(rnn, ws_gates_, states_t_l_, c_states_t_l_,
+                states_tm1_l_, c_states_tm1_l_, diff_states_t_l_,
+                diff_states_t_lp1_, diff_states_tp1_l_, bias_[0], ws_grid_,
+                ws_cell_);
+}
+template rnn_cell_execution_sig(ref_rnn_fwd_f32_t::cell_execution);
+template rnn_cell_execution_sig(ref_rnn_fwd_u8s8_t::cell_execution);
+
+template <>
+rnn_cell_execution_sig(ref_rnn_bwd_f32_t::cell_execution) {
+    ws_diff_states_aoc_t diff_states_t_l(rnn, diff_states_t_l_);
+    (this->*elemwise_func)(rnn, ws_gates_, states_t_l_, c_states_t_l_,
+            states_tm1_l_, c_states_tm1_l_, diff_states_t_l_,
+            diff_states_t_lp1_, diff_states_tp1_l_, bias_[0], ws_grid_,
+            ws_cell_);
+
+    /// bwd by data on the cell
+    (this->*gemm_iter_func)('N', 'N', rnn.sic, rnn.mb, rnn.n_gates * rnn.dic,
+            1.0, w_iter_[0], rnn.weights_iter_ld, ws_gates_, rnn.gates_ws_ld,
+            0.0, diff_states_t_l_, rnn.states_ws_ld);
+
+    if (!rnn.merge_gemm_layer) {
+        (this->*gemm_layer_func)('N', 'N', rnn.slc, rnn.mb,
+                rnn.n_gates * rnn.dic, 1.0, w_layer_[0],
+                rnn.weights_layer_ld, ws_gates_, rnn.gates_ws_ld, 0.0,
+                &diff_states_t_l(rnn.n_states, 0, 0), rnn.states_ws_ld);
+
+        /// bwd by weights on the cell
+        gemm('N', 'T', rnn.n_gates * rnn.dic, rnn.slc, rnn.mb, 1.0, ws_gates_,
+                rnn.gates_ws_ld, states_t_lm1_, rnn.states_ws_ld, 1.0,
+                diff_w_layer_, rnn.diff_weights_layer_ld);
+    }
+
+    if (!rnn.merge_gemm_iter)
+        gemm('N', 'T', rnn.n_gates * rnn.dic, rnn.sic, rnn.mb, 1.0, ws_gates_,
+                rnn.gates_ws_ld, states_tm1_l_, rnn.states_ws_ld, 1.0,
+                diff_w_iter_, rnn.diff_weights_iter_ld);
+
+    /// bwd by bias we just accumulate diffs from the gates
+    gates_reduction(rnn, ws_gates_, diff_bias_);
+}
+
+}
+}
+}