New lightmapper

-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)

1 files changed, 147 insertions, 0 deletions

diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/nchw_pooling.hpp b/thirdparty/oidn/mkl-dnn/src/cpu/nchw_pooling.hpp
new file mode 100644
index 0000000000..bbdd04f6b9
--- /dev/null
+++ b/thirdparty/oidn/mkl-dnn/src/cpu/nchw_pooling.hpp
@@ -0,0 +1,147 @@
+/*******************************************************************************
+* Copyright 2017-2018 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.
+*******************************************************************************/
+
+#ifndef CPU_NCHW_POOLING_HPP
+#define CPU_NCHW_POOLING_HPP
+
+#include <assert.h>
+
+#include "c_types_map.hpp"
+#include "type_helpers.hpp"
+#include "utils.hpp"
+
+#include "cpu_pooling_pd.hpp"
+#include "cpu_primitive.hpp"
+
+namespace mkldnn {
+namespace impl {
+namespace cpu {
+
+template <impl::data_type_t data_type>
+struct nchw_pooling_fwd_t: public cpu_primitive_t {
+    struct pd_t: public cpu_pooling_fwd_pd_t {
+        using cpu_pooling_fwd_pd_t::cpu_pooling_fwd_pd_t;
+
+        DECLARE_COMMON_PD_T("nchw_pooling:any", nchw_pooling_fwd_t);
+
+        status_t init() {
+            const format_tag_t desired_fmt_tag =
+                ndims() == 4 ? format_tag::nchw : format_tag::ncdhw;
+
+            bool ok = true
+                && set_default_params() == status::success
+                && is_fwd()
+                && utils::one_of(desc()->alg_kind, alg_kind::pooling_max,
+                        alg_kind::pooling_avg_include_padding,
+                        alg_kind::pooling_avg_exclude_padding)
+                && !has_zero_dim_memory()
+                && utils::everyone_is(data_type, src_md()->data_type,
+                        dst_md()->data_type)
+                && attr()->has_default_values()
+                && memory_desc_matches_tag(*src_md(), desired_fmt_tag)
+                && memory_desc_matches_tag(*dst_md(), desired_fmt_tag);
+            if (!ok) return status::unimplemented;
+
+            bool is_training = desc_.prop_kind == prop_kind::forward_training;
+            if (desc()->alg_kind == alg_kind::pooling_max && is_training)
+                init_default_ws();
+
+            return status::success;
+        }
+    };
+
+    nchw_pooling_fwd_t(const pd_t *apd): cpu_primitive_t(apd) {}
+    typedef typename prec_traits<data_type>::type data_t;
+
+    virtual status_t execute(const exec_ctx_t &ctx) const override {
+        execute_forward(ctx);
+        return status::success;
+    }
+
+private:
+    void execute_forward(const exec_ctx_t &ctx) const;
+    const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
+};
+
+template <impl::data_type_t data_type>
+struct nchw_pooling_bwd_t: public cpu_primitive_t {
+    struct pd_t: public cpu_pooling_bwd_pd_t {
+        using cpu_pooling_bwd_pd_t::cpu_pooling_bwd_pd_t;
+
+        DECLARE_COMMON_PD_T("nchw:any", nchw_pooling_bwd_t);
+
+        status_t init() {
+            const format_tag_t desired_fmt_tag =
+                ndims() == 4 ? format_tag::nchw : format_tag::ncdhw;
+
+            bool ok = true
+                && set_default_params() == status::success
+                && !is_fwd()
+                && utils::one_of(desc()->alg_kind, alg_kind::pooling_max,
+                        alg_kind::pooling_avg_include_padding,
+                        alg_kind::pooling_avg_exclude_padding)
+                && !has_zero_dim_memory()
+                && utils::everyone_is(data_type,
+                        diff_dst_md()->data_type,
+                        diff_src_md()->data_type)
+                && attr()->has_default_values()
+                && memory_desc_matches_tag(*diff_dst_md(), desired_fmt_tag)
+                && memory_desc_matches_tag(*diff_src_md(), desired_fmt_tag);
+            if (!ok) return status::unimplemented;
+
+            if (desc()->alg_kind == alg_kind::pooling_max) {
+                bool ws_ok = true
+                    && hint_fwd_pd_
+                    && hint_fwd_pd_->workspace_md();
+                if (!ws_ok)
+                    return status::unimplemented;
+
+                const auto &ws_blk =
+                    hint_fwd_pd_->workspace_md()->format_desc.blocking;
+                ws_ok = ws_ok
+                    && ws_blk.inner_nblks < 1
+                    && IMPLICATION(ws_blk.inner_nblks == 1,
+                            ws_blk.inner_idxs[0] == 1);
+                if (!ws_ok)
+                    return status::unimplemented;
+
+                ws_md_ = *hint_fwd_pd_->workspace_md();
+            }
+
+            return status::success;
+        }
+    };
+
+    nchw_pooling_bwd_t(const pd_t *apd): cpu_primitive_t(apd) {}
+    typedef typename prec_traits<data_type>::type data_t;
+
+    virtual status_t execute(const exec_ctx_t &ctx) const override {
+        execute_backward(ctx);
+        return status::success;
+    }
+
+private:
+    void execute_backward(const exec_ctx_t &ctx) const;
+    const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
+};
+
+}
+}
+}
+
+#endif
+
+// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s