1 files changed, 0 insertions, 143 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_lstm.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_lstm.cpp
deleted file mode 100644
index a15ba00d4c..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_lstm.cpp
+++ /dev/null
@@ -1,143 +0,0 @@
-/*******************************************************************************
-* 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.
-*******************************************************************************/
-
-/*
- * Cell execution LSTM
- */
-
-#include "math_utils.hpp"
-#include "mkldnn_thread.hpp"
-
-#include "../simple_q10n.hpp"
-#include "ref_rnn.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-using namespace mkldnn::impl::utils;
-using namespace mkldnn::impl::math;
-using namespace rnn_utils;
-
-template <>
-rnn_elemwise_sig(ref_rnn_fwd_f32_t::lstm_elemwise) {
-    ws_gates_aoc_t ws_gates(rnn, ws_gates_);
-    bias_aoc_t bias(rnn, bias_);
-    ws_states_aoc_t states_t_l(rnn, states_t_l_);
-    ws_states_aoc_t c_states_t_l(rnn, c_states_t_l_);
-    ws_states_aoc_t c_states_tm1_l(rnn, c_states_tm1_l_);
-
-    parallel_nd(rnn.mb, [&](int i) {
-        PRAGMA_OMP_SIMD()
-        for (int j = 0; j < rnn.dic; j++) {
-            ws_gates(i, 0, j) = logistic_fwd(ws_gates(i, 0, j) + bias(0, j));
-            ws_gates(i, 1, j) = logistic_fwd(ws_gates(i, 1, j) + bias(1, j));
-            ws_gates(i, 2, j) = tanh_fwd(ws_gates(i, 2, j) + bias(2, j));
-            ws_gates(i, 3, j) = logistic_fwd(ws_gates(i, 3, j) + bias(3, j));
-
-            float tmp = ws_gates(i, 1, j) * c_states_tm1_l(i, j)
-                    + ws_gates(i, 0, j) * ws_gates(i, 2, j);
-            states_t_l(i, j) = ws_gates(i, 3, j) * tanh_fwd(tmp);
-            c_states_t_l(i, j) = tmp;
-        }
-    });
-}
-
-template <>
-rnn_elemwise_sig(ref_rnn_fwd_u8s8_t::lstm_elemwise) {
-    ws_gates_aoc_s32_t ws_gates_s32(rnn, ws_gates_);
-    bias_aoc_t bias(rnn, bias_);
-    ws_states_aoc_u8_t states_t_l(rnn, states_t_l_);
-    ws_states_aoc_t c_states_t_l(rnn, c_states_t_l_);
-    ws_states_aoc_t c_states_tm1_l(rnn, c_states_tm1_l_);
-
-    float *weights_scales = pd()->attr()->rnn_weights_qparams_.scales_;
-    float data_shift = pd()->attr()->rnn_data_qparams_.shift_;
-    float data_scale = pd()->attr()->rnn_data_qparams_.scale_;
-
-    auto q_d = [&](float f) {
-        float qf = f * data_scale + data_shift;
-        return qz_a1b0<float, src_data_t>()(qf);
-    };
-
-    auto deq_w = [&](acc_data_t s, int gate, int j) {
-        return pd()->attr()->rnn_weights_qparams_.mask_ == 0 ?
-                saturate<float>(s) * (1.f / (weights_scales[0] * data_scale)) :
-                saturate<float>(s) * (1.f / (weights_scales[gate * rnn.dic + j]
-                                                   * data_scale));
-    };
-
-    parallel_nd(rnn.mb, [&](int i) {
-        PRAGMA_OMP_SIMD()
-        for (int j = 0; j < rnn.dic; j++) {
-            float G0 = logistic_fwd<float>(
-                    deq_w(ws_gates_s32(i, 0, j), 0, j) + bias(0, j));
-            float G1 = logistic_fwd<float>(
-                    deq_w(ws_gates_s32(i, 1, j), 1, j) + bias(1, j));
-            float G2 = tanh_fwd<float>(
-                    deq_w(ws_gates_s32(i, 2, j), 2, j) + bias(2, j));
-            float G3 = logistic_fwd<float>(
-                    deq_w(ws_gates_s32(i, 3, j), 3, j) + bias(3, j));
-            float tmp = G1 * c_states_tm1_l(i, j) + G0 * G2;
-            states_t_l(i, j) = q_d(G3 * tanh_fwd(tmp));
-            c_states_t_l(i, j) = tmp;
-        }
-    });
-}
-
-template <>
-rnn_elemwise_sig(ref_rnn_bwd_f32_t::lstm_elemwise) {
-    ws_gates_aoc_t ws_gates(rnn, ws_gates_);
-    bias_aoc_t bias(rnn, bias_);
-    ws_states_aoc_t c_states_t_l(rnn, c_states_t_l_);
-    ws_states_aoc_t c_states_tm1_l(rnn, c_states_tm1_l_);
-    ws_diff_states_aoc_t diff_states_t_l(rnn, diff_states_t_l_);
-    ws_diff_states_aoc_t diff_states_tp1_l(rnn, diff_states_tp1_l_);
-    ws_diff_states_aoc_t diff_states_t_lp1(rnn, diff_states_t_lp1_);
-
-    parallel_nd(rnn.mb, [&](int i) {
-        PRAGMA_OMP_SIMD()
-        for (int j = 0; j < rnn.dic; j++) {
-            float Ct = c_states_t_l(i, j);
-            /// @todo save it in the workspace in fwd pass or recompute it to
-            /// save bw
-            float tanhCt = tanh_fwd(Ct);
-            // we have 2 incoming diffs on Ht
-            float dHt = diff_states_tp1_l(0, i, j)
-                    + diff_states_t_lp1(rnn.n_states, i, j);
-            float dCt = diff_states_tp1_l(1, i, j)
-                    + one_m_square(tanhCt) * ws_gates(i, 3, j) * dHt;
-
-            float dG1 = c_states_tm1_l(i, j) * dCt
-                    * x_m_square(ws_gates(i, 1, j));
-            float dG0 = ws_gates(i, 2, j) * dCt * x_m_square(ws_gates(i, 0, j));
-            float dG3 = tanhCt * dHt * x_m_square(ws_gates(i, 3, j));
-            float dG2
-                    = ws_gates(i, 0, j) * dCt * one_m_square(ws_gates(i, 2, j));
-
-            diff_states_t_l(1, i, j) = dCt * ws_gates(i, 1, j);
-
-            ws_gates(i, 0, j) = dG0;
-            ws_gates(i, 1, j) = dG1;
-            ws_gates(i, 2, j) = dG2;
-            ws_gates(i, 3, j) = dG3;
-        }
-    });
-}
-
-}
-}
-}