Remove denoise module and thirdparty OIDN.

This is replaced by a much lighter weight and faster JNLM denoiser. OIDN is still much more accurate, and may be provided as an optional backend in the future, but the JNLM denoiser seems good enough for most use cases and removing OIDN reduces the build system complexity, binary size, and build times very significantly.

1 files changed, 0 insertions, 66 deletions

diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.hpp b/thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.hpp
deleted file mode 100644
index e006789344..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/gemm_convolution_utils.hpp
+++ /dev/null
@@ -1,66 +0,0 @@
-/*******************************************************************************
-* Copyright 2016-2018 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_JIT_GEMM_CONVOLUTION_UTILS_HPP
-#define CPU_JIT_GEMM_CONVOLUTION_UTILS_HPP
-
-#include "c_types_map.hpp"
-#include "memory_tracking.hpp"
-#include "mkldnn_thread.hpp"
-
-#include "cpu_convolution_pd.hpp"
-#include "cpu_engine.hpp"
-#include "jit_primitive_conf.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-namespace jit_gemm_convolution_utils {
-
-void im2col_3d(const jit_gemm_conv_conf_t &jcp, const float *im, float *col,
-        int od);
-void im2col(const jit_gemm_conv_conf_t &jcp, const float *__restrict im,
-       float *__restrict col, int hs, int hb, int ws, int wb);
-template <typename T>
-void im2col_u8(const jit_gemm_conv_conf_t &jcp, const T *__restrict im,
-        T* __restrict imtr, uint8_t *__restrict col,
-        int hs, int hb, int ws, int wb);
-
-void col2im_s32(const jit_gemm_conv_conf_t &jcp, const int32_t *__restrict col,
-        int32_t *__restrict im);
-void col2im_3d(const jit_gemm_conv_conf_t &jcp, const float *col, float *im,
-        int od);
-void col2im(const jit_gemm_conv_conf_t &jcp, const float *col, float *im);
-
-status_t init_conf(jit_gemm_conv_conf_t &jcp,
-        memory_tracking::registrar_t &scratchpad, const convolution_desc_t &cd,
-        const memory_desc_wrapper &src_d, const memory_desc_wrapper &weights_d,
-        const memory_desc_wrapper &dst_d, int max_threads);
-
-void bwd_weights_balance(int ithr, int nthr, int ngroups, int mb,
-        int &ithr_g, int &nthr_g, int &ithr_mb, int &nthr_mb);
-void bwd_weights_reduction_par(int ithr, int nthr,
-        const jit_gemm_conv_conf_t &jcp, const float *weights_reduce_ws,
-        float *weights);
-
-}
-
-}
-}
-}
-
-#endif