1bea8e1eac
-Added LocalVector (needed it) -Added stb_rect_pack (It's pretty cool, we could probably use it for other stuff too) -Fixes and changes all around the place -Added library for 128 bits fixed point (required for Delaunay3D)
112 lines
3.6 KiB
C++
112 lines
3.6 KiB
C++
/*******************************************************************************
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* Copyright 2018 Intel Corporation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*******************************************************************************/
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#ifndef CPU_REF_SHUFFLE_HPP
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#define CPU_REF_SHUFFLE_HPP
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#include <assert.h>
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#include "c_types_map.hpp"
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#include "type_helpers.hpp"
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#include "utils.hpp"
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#include "cpu_shuffle_pd.hpp"
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#include "cpu_primitive.hpp"
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namespace mkldnn {
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namespace impl {
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namespace cpu {
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template<int data_type_size>
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struct ref_shuffle_t : public cpu_primitive_t {
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using shuffle_class = ref_shuffle_t<data_type_size>;
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struct pd_t: public cpu_shuffle_pd_t {
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using cpu_shuffle_pd_t::cpu_shuffle_pd_t;
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DECLARE_COMMON_PD_T("ref:any", shuffle_class);
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status_t init() {
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using namespace format_tag;
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bool ok = true
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&& data_type_size
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== types::data_type_size(data_md()->data_type);
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if (!ok) return status::unimplemented;
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if (ndims() == 5) {
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dat_tag_ = memory_desc_matches_one_of_tag(
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*data_md(), nCdhw16c, nCdhw8c, ncdhw, ndhwc);
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} else if (ndims() == 4) {
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dat_tag_ = memory_desc_matches_one_of_tag(
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*data_md(), nChw16c, nChw8c, nchw, nhwc);
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} else
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dat_tag_ = any;
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return status::success;
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}
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format_tag_t dat_tag_;
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};
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ref_shuffle_t(const pd_t *apd): cpu_primitive_t(apd) {
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const int axis_size = pd()->axis_size();
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const int group_size = pd()->group_size();
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const int transpose_row = pd()->is_fwd() ? group_size
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: axis_size / group_size;
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const int transpose_col = pd()->is_fwd() ? axis_size / group_size
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: group_size;
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rev_transposed_ = (int *)malloc(axis_size * sizeof(int), 64);
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parallel_nd(transpose_col, transpose_row, [&](int i, int j) {
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rev_transposed_[j * transpose_col + i] = i * transpose_row + j;
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});
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}
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~ref_shuffle_t() { free(rev_transposed_); }
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typedef typename typesize_traits<data_type_size>::type data_t;
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virtual status_t execute(const exec_ctx_t &ctx) const override {
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using namespace format_tag;
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switch (pd()->dat_tag_) {
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case nCdhw16c: execute_<nCdhw16c>(ctx); break;
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case nChw16c: execute_<nChw16c>(ctx); break;
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case nCdhw8c: execute_<nCdhw8c>(ctx); break;
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case nChw8c: execute_<nChw8c>(ctx); break;
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case ncdhw: execute_<ncdhw>(ctx); break;
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case nchw: execute_<nchw>(ctx); break;
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case ndhwc: execute_<ndhwc>(ctx); break;
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case nhwc: execute_<nhwc>(ctx); break;
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default: execute_<any>(ctx); break;
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}
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return status::success;
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}
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private:
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template<format_tag_t tag>
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void execute_(const exec_ctx_t &ctx) const;
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const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
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int *rev_transposed_;
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};
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}
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}
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}
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#endif
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// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
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