summaryrefslogtreecommitdiffstats
path: root/thirdparty/oidn/mkl-dnn/src/cpu/cpu_memory.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'thirdparty/oidn/mkl-dnn/src/cpu/cpu_memory.cpp')
-rw-r--r--thirdparty/oidn/mkl-dnn/src/cpu/cpu_memory.cpp277
1 files changed, 0 insertions, 277 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/cpu_memory.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/cpu_memory.cpp
deleted file mode 100644
index 3c0624cf46..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/cpu_memory.cpp
+++ /dev/null
@@ -1,277 +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.
-*******************************************************************************/
-
-#include <assert.h>
-
-#include "mkldnn_traits.hpp"
-#include "mkldnn_thread.hpp"
-#include "type_helpers.hpp"
-#include "utils.hpp"
-
-#include "cpu_memory.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-using namespace mkldnn::impl;
-using namespace mkldnn::impl::data_type;
-using namespace mkldnn::impl::status;
-using namespace mkldnn::impl::format_tag;
-
-enum blk_kind_t { a, b, c, ab, ba, bc, cb };
-
-template <data_type_t dt, blk_kind_t blk_kind, int blksize>
-void typed_zero_pad_blk(
- const memory_desc_wrapper &m_d, typename prec_traits<dt>::type *data) {
- using data_t = typename prec_traits<dt>::type;
- const auto &dims = m_d.dims();
- const auto &pdims = m_d.padded_dims();
- const auto &blk = m_d.blocking_desc();
- auto dim_is_blocked = [&](int dim) {
- for (int i = 0; i < blk.inner_nblks; i++)
- if (blk.inner_idxs[i] == dim)
- return true;
- return false;
- };
- bool A_blocked = dim_is_blocked(0), B_blocked = dim_is_blocked(1),
- C_blocked = dim_is_blocked(2);
-
- assert(blk.inner_nblks < 4);
- assert((A_blocked || B_blocked || C_blocked) || (A_blocked && B_blocked)
- || (C_blocked && B_blocked));
-
- const int a_tail_s = A_blocked ? dims[0] % blksize : 0;
- const int b_tail_s = B_blocked ? dims[1] % blksize : 0;
- const int c_tail_s = C_blocked ? dims[2] % blksize : 0;
- assert(a_tail_s || b_tail_s || c_tail_s);
-
- const int A = A_blocked ? pdims[0] / blksize : dims[0];
- const int B = B_blocked ? pdims[1] / blksize : dims[1];
- const int C = C_blocked ? pdims[2] / blksize : dims[2];
- const int D = m_d.ndims() > 3 ? dims[3] : 1;
- const int E = m_d.ndims() > 4 ? dims[4] : 1;
- const int F = m_d.ndims() > 5 ? dims[5] : 1;
- const int inner_blk = blk.inner_nblks == 3 ? blk.inner_blks[2] : 1;
-
- auto zeroize_tail = [&](data_t *d, const int tail_s) {
- for (int b = tail_s; b < blksize; ++b)
- d[b] = 0;
- };
- auto zeroize_tail_inner = [&](data_t *d, const int tail_s) {
- for (int b1 = 0; b1 < blksize; ++b1)
- for (int b2 = tail_s; b2 < blksize; ++b2)
- d[(b1 / inner_blk) * blksize * inner_blk + inner_blk * b2
- + b1 % inner_blk]
- = 0;
- };
- auto zeroize_tail_outer = [&](data_t *d, const int tail_s) {
- for (int b1 = tail_s; b1 < blksize; ++b1)
- for (int b2 = 0; b2 < blksize; ++b2)
- d[(b1 / inner_blk) * blksize * inner_blk + inner_blk * b2
- + b1 % inner_blk]
- = 0;
- };
-
- if (c_tail_s) {
- parallel_nd(A, B, D, E, F, [&](int a, int b, int d, int e, int f) {
- auto x = &data[m_d.blk_off(a, b, C - 1, d, e, f)];
- if (blk_kind == c)
- zeroize_tail(x, c_tail_s);
- else if (blk_kind == bc)
- zeroize_tail_inner(x, c_tail_s);
- else if (blk_kind == cb)
- zeroize_tail_outer(x, c_tail_s);
- });
- }
-
- if (b_tail_s) {
- parallel_nd(A, C, D, E, F, [&](int a, int c, int d, int e, int f) {
- auto x = &data[m_d.blk_off(a, B - 1, c, d, e, f)];
- if (blk_kind == b)
- zeroize_tail(x, b_tail_s);
- else if (blk_kind == ab || blk_kind == cb)
- zeroize_tail_inner(x, b_tail_s);
- else if (blk_kind == ba || blk_kind == bc)
- zeroize_tail_outer(x, b_tail_s);
- });
- }
-
- if (a_tail_s) {
- parallel_nd(B, C, D, E, F, [&](int b, int c, int d, int e, int f) {
- auto x = &data[m_d.blk_off(A - 1, b, c, d, e, f)];
- if (blk_kind == a)
- zeroize_tail(x, a_tail_s);
- else if (blk_kind == ba)
- zeroize_tail_inner(x, a_tail_s);
- else if (blk_kind == ab)
- zeroize_tail_outer(x, a_tail_s);
- });
- }
-}
-
-/*
- * all
- */
-template <data_type_t dt>
-void typed_zero_pad_generic_blocked(
- const memory_desc_wrapper &m_d, typename prec_traits<dt>::type *data) {
- const int ndims = m_d.ndims();
- const auto &dims = m_d.dims();
- const auto &pdims = m_d.padded_dims();
-
- const ptrdiff_t nelems = (ptrdiff_t)m_d.nelems(true);
-
- /* [D_0] .. [D_k][D_k+1] .. [D_ndim - 1]
- * | \ /
- * | ---------------------
- * has contiguous
- * padding
- *
- * step <-- D_k+1 * ... * D_ndims-1
- * step_dim <-- k
- */
-
- ptrdiff_t step = 1;
- int step_dim = ndims - 1;
- for (; step_dim >= 0; --step_dim) {
- if (dims[step_dim] != pdims[step_dim])
- break;
- step *= dims[step_dim];
- }
-
- assert(step_dim >= 0 && "no zero padding is required");
- if (step_dim < 0)
- return;
-
- parallel_nd(nelems / step, [&](ptrdiff_t e1) {
- bool need_zero = false;
-
- ptrdiff_t idx = e1;
- for (int d = step_dim; d >= 0; --d) {
- if (idx % pdims[d] >= dims[d]) {
- need_zero = true;
- break;
- }
- idx /= pdims[d];
- }
-
- if (need_zero) {
- for (ptrdiff_t e0 = 0; e0 < step; ++e0)
- data[m_d.off_l(e1 * step + e0, true)] = 0;
- }
- });
-}
-
-template <data_type_t dt>
-status_t cpu_memory_t::typed_zero_pad() const {
- const memory_desc_wrapper mdw(md());
-
- if (mdw.format_kind() != format_kind::blocked)
- return unimplemented;
-
- if (mdw.nelems(false) == mdw.nelems(true))
- return success;
-
- auto *data = (typename prec_traits<dt>::type *)data_;
- auto blk = mdw.blocking_desc();
-
- auto get_blksize = [&](int ind) {
- int blksize = 1;
- for (int i = 0; i < blk.inner_nblks; i++) {
- if (blk.inner_idxs[i] == ind)
- blksize *= blk.inner_blks[i];
- }
- return blksize;
- };
- const int blksize = get_blksize(blk.inner_idxs[0]);
-
-# define CASE(blksize_, blk_kind) \
- do { \
- if (blksize == blksize_) { \
- typed_zero_pad_blk<dt, blk_kind, blksize_>(mdw, data); \
- return success; \
- } \
- } while(0)
-
- switch (blk.inner_nblks) {
- case 1:
- if (blk.inner_idxs[0] == 0) {
- CASE(4, a);
- CASE(8, a);
- CASE(16, a);
- } else if (blk.inner_idxs[0] == 1) {
- CASE(4, b);
- CASE(8, b);
- CASE(16, b);
- }
- break;
- case 2:
- case 3:
- if (!IMPLICATION(blk.inner_nblks == 3,
- blk.inner_idxs[0] == blk.inner_idxs[2]))
- break;
-
- if (blk.inner_idxs[0] == 0 && blk.inner_idxs[1] == 1) {
- CASE(4, ab);
- CASE(8, ab);
- CASE(16, ab);
- } else if (blk.inner_idxs[0] == 1 && blk.inner_idxs[1] == 0) {
- CASE(4, ba);
- CASE(8, ba);
- CASE(16, ba);
- }
- if (blk.inner_idxs[0] == 1 && blk.inner_idxs[1] == 2) {
- CASE(4, bc);
- CASE(8, bc);
- CASE(16, bc);
- } else if (blk.inner_idxs[0] == 2 && blk.inner_idxs[1] == 1) {
- CASE(4, cb);
- CASE(8, cb);
- CASE(16, cb);
- }
- break;
- default: break;
- }
-
-# undef CASE
-
- // the last line of defence
- typed_zero_pad_generic_blocked<dt>(mdw, data);
- return success;
-}
-
-status_t cpu_memory_t::zero_pad() const {
- memory_desc_wrapper mdw(md());
- const bool skip_zeroing = false
- || data_ == nullptr
- || mdw.is_zero()
- || !mdw.is_blocking_desc();
- if (skip_zeroing) return success;
-
- switch (mdw.data_type()) {
- case f32: return typed_zero_pad<f32>();
- case s32: return typed_zero_pad<s32>();
- case s8: return typed_zero_pad<s8>();
- case u8: return typed_zero_pad<u8>();
- default: assert(!"memory is undefined"); return unimplemented;
- }
- return unimplemented;
-}
-
-}
-}
-}