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, 56 deletions

diff --git a/thirdparty/oidn/mkl-dnn/src/common/convolution_pd.cpp b/thirdparty/oidn/mkl-dnn/src/common/convolution_pd.cpp
deleted file mode 100644
index 9604e0acf5..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/common/convolution_pd.cpp
+++ /dev/null
@@ -1,56 +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 "utils.hpp"
-
-#include "convolution_pd.hpp"
-
-namespace mkldnn {
-namespace impl {
-
-using namespace prop_kind;
-
-memory_desc_t *conv_prop_invariant_src_d(convolution_desc_t *desc) {
-    return desc->prop_kind == backward_data
-        ? &desc->diff_src_desc : &desc->src_desc;
-}
-
-memory_desc_t *conv_prop_invariant_wei_d(convolution_desc_t *desc) {
-    return desc->prop_kind == backward_weights
-        ? &desc->diff_weights_desc : &desc->weights_desc;
-}
-
-memory_desc_t *conv_prop_invariant_bia_d(convolution_desc_t *desc) {
-    return desc->prop_kind == backward_weights
-        ? &desc->diff_bias_desc : &desc->bias_desc;
-}
-
-memory_desc_t *conv_prop_invariant_dst_d(convolution_desc_t *desc) {
-    return utils::one_of(desc->prop_kind, forward_inference, forward_training)
-        ? &desc->dst_desc : &desc->diff_dst_desc;
-}
-
-const memory_desc_t *conv_prop_invariant_src_d(const convolution_desc_t *desc)
-{ return conv_prop_invariant_src_d(const_cast<convolution_desc_t *>(desc)); }
-const memory_desc_t *conv_prop_invariant_wei_d(const convolution_desc_t *desc)
-{ return conv_prop_invariant_wei_d(const_cast<convolution_desc_t *>(desc)); }
-const memory_desc_t *conv_prop_invariant_bia_d(const convolution_desc_t *desc)
-{ return conv_prop_invariant_bia_d(const_cast<convolution_desc_t *>(desc)); }
-const memory_desc_t *conv_prop_invariant_dst_d(const convolution_desc_t *desc)
-{ return conv_prop_invariant_dst_d(const_cast<convolution_desc_t *>(desc)); }
-
-}
-}