1 files changed, 0 insertions, 180 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_gru.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_gru.cpp
deleted file mode 100644
index e1a61d4c62..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/rnn/cell_gru.cpp
+++ /dev/null
@@ -1,180 +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 GRU
- */
-
-#include "math_utils.hpp"
-#include "mkldnn_thread.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;
-
-#define AOC array_offset_calculator
-template <>
-rnn_cell_execution_sig(ref_rnn_fwd_f32_t::cell_execution_gru) {
-    ws_gates_aoc_t ws_gates(rnn, ws_gates_);
-    bias_aoc_t bias(rnn, bias_[0]);
-    ws_states_aoc_t states_t_l(rnn, states_t_l_);
-    ws_states_aoc_t states_tm1_l(rnn, states_tm1_l_);
-
-    // 1. gemm Wx[0-2],x
-    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);
-    }
-
-    // 2. gemm Wh[0-1],h
-    (this->*gemm_iter_func)('N', 'N', (rnn.n_gates - 1) * 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);
-
-    // 3. activation zt and rt + elemwise multiplication rt,ht-1
-    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));
-            states_t_l(i, j) = states_tm1_l(i, j) * ws_gates(i, 1, j);
-        }
-    });
-
-    // 4. gemm Wh[2],h~t
-    (this->*gemm_iter_func)('N', 'N', rnn.dic, rnn.mb, rnn.sic, 1.0, w_iter_[1],
-            rnn.weights_iter_ld, states_t_l_, rnn.states_ws_ld, 1.0,
-            &(ws_gates(0, 2, 0)), rnn.gates_ws_ld);
-
-    // 5. activation h~t + calculate ht
-    parallel_nd(rnn.mb, [&](int i) {
-        PRAGMA_OMP_SIMD()
-        for (int j = 0; j < rnn.dic; j++) {
-            ws_gates(i, 2, j) = tanh_fwd(ws_gates(i, 2, j) + bias(2, j));
-            states_t_l(i, j) = states_tm1_l(i, j) * ws_gates(i, 0, j)
-                    + (1.0f - ws_gates(i, 0, j)) * ws_gates(i, 2, j);
-        }
-    });
-}
-
-template <>
-rnn_cell_execution_sig(ref_rnn_fwd_u8s8_t::cell_execution_gru) {
-    assert(!"GRU int8 is not supported");
-}
-
-template <>
-rnn_cell_execution_sig(ref_rnn_bwd_f32_t::cell_execution_gru) {
-    ws_gates_aoc_t ws_gates(rnn, ws_gates_);
-    ws_states_aoc_t states_t_l(rnn, states_t_l_);
-    ws_states_aoc_t states_tm1_l(rnn, states_tm1_l_);
-    ws_diff_w_iter_aoc_t diff_w_iter(rnn, diff_w_iter_);
-    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_);
-
-    // use state memory for intermediate computations
-    // TODO: use cell ws for that
-    float *dhG1_ = &(diff_states_t_l(rnn.n_states, 0, 0));
-    float *hG1_ = dhG1_;
-    AOC<float, 2> dhG1(dhG1_, rnn.states_nld, rnn.states_ws_ld);
-    AOC<float, 2> hG1(hG1_, rnn.states_nld, rnn.states_ws_ld);
-
-    // 1. calculate dG2, dG1, and part of dht-1
-    // dG2^ = dh * (1 - G0) * (1 - G2^2)
-    // dG0^ = dh * (ht-1 - G2) * u * (1 - G0)
-    // dht-1 (part) = dh * G0
-    parallel_nd(rnn.mb, [&](int i) {
-        PRAGMA_OMP_SIMD()
-        for (int j = 0; j < rnn.dic; j++) {
-            float h = states_tm1_l(i, j);
-            float dHt = diff_states_tp1_l(0, i, j)
-                    + diff_states_t_lp1(rnn.n_states, i, j);
-            float dG2 = (1.0f - ws_gates(i, 0, j)) * dHt
-                    * one_m_square(ws_gates(i, 2, j));
-            float dG0 = (h - ws_gates(i, 2, j)) * dHt
-                    * x_m_square(ws_gates(i, 0, j));
-
-            diff_states_t_l(0, i, j) = dHt * ws_gates(i, 0, j);
-            ws_gates(i, 0, j) = dG0;
-            ws_gates(i, 2, j) = dG2;
-        }
-    });
-
-    // 2. calculate intermediate d(hG1)
-    // d(hG1) = dG2 * W2h^t
-    (this->*gemm_iter_func)('N', 'N', rnn.sic, rnn.mb, rnn.dic, 1.0, w_iter_[1],
-            rnn.weights_iter_ld, &(ws_gates(0, 2, 0)), rnn.gates_ws_ld, 0.0,
-            dhG1_, rnn.states_ws_ld);
-
-    // 3. calculate dG1^ and part of dht-1
-    // dG1^ = d(hG1) * h * G1 * (1 - G1)
-    // dht-1 (part) += d(hG1) * G1
-    // h * G1 (required for dWh)
-    parallel_nd(rnn.mb, [&](int i) {
-        PRAGMA_OMP_SIMD()
-        for (int j = 0; j < rnn.dic; j++) {
-            float h = states_tm1_l(i, j);
-            float G1 = ws_gates(i, 1, j);
-            diff_states_t_l(0, i, j) += dhG1(i, j) * G1;
-            ws_gates(i, 1, j) = dhG1(i, j) * h * x_m_square(G1);
-            hG1(i, j) = G1 * h;
-        }
-    });
-
-    // 4. calculate diff weights
-    // dWh1 += dG1 * h, dWh2 += dG2 * h, dWh3 += dG3 * (G1(*)h)
-    gemm('N', 'T', (rnn.n_gates - 1) * 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);
-    gemm('N', 'T', rnn.dic, rnn.sic, rnn.mb, 1.0, &(ws_gates(0, 2, 0)),
-            rnn.gates_ws_ld, hG1_, rnn.states_ws_ld, 1.0,
-            &(diff_w_iter(0, 2, 0)), rnn.diff_weights_iter_ld);
-
-    // 5. calculate diff states
-    // dht-1 += dG1 * W1h + dG0 * W0h
-    (this->*gemm_iter_func)('N', 'N', rnn.sic, rnn.mb,
-            (rnn.n_gates - 1) * rnn.dic, 1.0, w_iter_[0],
-            rnn.weights_iter_ld, ws_gates_, rnn.gates_ws_ld, 1.0,
-            diff_states_t_l_, rnn.states_ws_ld);
-
-    if (!rnn.merge_gemm_layer) {
-        // dWx += [dG0 dG1 dG2] * [x]
-        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);
-        // dx = dG2 * W2x + dG1 * W1x + dG0 * W0x
-        (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);
-    }
-
-    // 6. calculate diff bias
-    gates_reduction(rnn, ws_gates_, diff_bias_);
-}
-#undef AOC
-
-}
-}
-}