1 files changed, 0 insertions, 91 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/common/lrn.cpp b/thirdparty/oidn/mkl-dnn/src/common/lrn.cpp
deleted file mode 100644
index fcf18b556f..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/common/lrn.cpp
+++ /dev/null
@@ -1,91 +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.
-*******************************************************************************/
-
-#include <assert.h>
-#include "mkldnn.h"
-
-#include "c_types_map.hpp"
-#include "type_helpers.hpp"
-#include "utils.hpp"
-
-using namespace mkldnn::impl;
-using namespace mkldnn::impl::utils;
-using namespace mkldnn::impl::status;
-using namespace mkldnn::impl::prop_kind;
-using namespace mkldnn::impl::alg_kind;
-using namespace mkldnn::impl::types;
-
-namespace {
-status_t lrn_desc_init(lrn_desc_t *lrn_desc,
-        prop_kind_t prop_kind, alg_kind_t alg_kind,
-        const memory_desc_t *data_desc, const memory_desc_t *diff_data_desc,
-        dim_t local_size, float alpha, float beta, float k) {
-    bool args_ok = true
-        && !any_null(lrn_desc, data_desc)
-        && one_of(alg_kind, lrn_within_channel, lrn_across_channels)
-        && one_of(prop_kind, forward_training, forward_inference, backward_data)
-        && IMPLICATION(prop_kind == backward_data, diff_data_desc != nullptr);
-    if (!args_ok) return invalid_arguments;
-
-    auto ld = lrn_desc_t();
-    ld.primitive_kind = primitive_kind::lrn;
-    ld.prop_kind = prop_kind;
-    ld.alg_kind = alg_kind;
-
-    const bool is_fwd = one_of(prop_kind, forward_training, forward_inference);
-
-    ld.data_desc = *data_desc;
-    if (!is_fwd)
-        ld.diff_data_desc = *diff_data_desc;
-    else
-        ld.diff_data_desc = zero_md();
-    ld.local_size = local_size;
-    ld.lrn_alpha = alpha;
-    ld.lrn_beta = beta;
-    ld.lrn_k = k;
-
-    bool consistency = true
-        && ld.data_desc.ndims == 4;
-    if (ld.prop_kind == backward_data)
-        consistency = consistency
-            && ld.diff_data_desc.ndims == 4
-            && array_cmp(ld.diff_data_desc.dims, ld.data_desc.dims, 4);
-    if (!consistency) return invalid_arguments;
-
-    *lrn_desc = ld;
-    return success;
-}
-}
-
-status_t mkldnn_lrn_forward_desc_init(lrn_desc_t *lrn_desc,
-        prop_kind_t prop_kind, alg_kind_t alg_kind,
-        const memory_desc_t *data_desc, dim_t local_size, float alpha,
-        float beta, float k) {
-    if (!one_of(prop_kind, forward_training, forward_inference))
-        return invalid_arguments;
-    return lrn_desc_init(lrn_desc, prop_kind, alg_kind, data_desc, nullptr,
-            local_size, alpha, beta, k);
-}
-
-status_t mkldnn_lrn_backward_desc_init(lrn_desc_t *lrn_desc,
-        alg_kind_t alg_kind, const memory_desc_t *data_desc,
-        const memory_desc_t *diff_data_desc, dim_t local_size, float alpha,
-        float beta, float k) {
-    return lrn_desc_init(lrn_desc, backward_data, alg_kind, data_desc,
-            diff_data_desc, local_size, alpha, beta, k);
-}
-
-// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s