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/*******************************************************************************
* 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
}
}
}
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