1 files changed, 0 insertions, 104 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/common/batch_normalization.cpp b/thirdparty/oidn/mkl-dnn/src/common/batch_normalization.cpp
deleted file mode 100644
index 1a51d8562b..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/common/batch_normalization.cpp
+++ /dev/null
@@ -1,104 +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 bnrm_desc_init(batch_normalization_desc_t *bnrm_desc,
-        prop_kind_t prop_kind, const memory_desc_t *data_desc,
-        const memory_desc_t *diff_data_desc, float epsilon, unsigned flags) {
-    bool args_ok = true
-        && !any_null(bnrm_desc, data_desc)
-        && one_of(prop_kind, forward_training, forward_inference,
-                backward_data, backward)
-        && IMPLICATION(prop_kind & backward, diff_data_desc != nullptr);
-    if (!args_ok) return invalid_arguments;
-
-    auto bd = batch_normalization_desc_t();
-    bd.primitive_kind = primitive_kind::batch_normalization;
-    bd.prop_kind = prop_kind;
-
-    bd.data_desc = *data_desc;
-    bd.diff_data_desc = zero_md();
-    if ( one_of(bd.prop_kind,backward_data, backward) )
-        bd.diff_data_desc = *diff_data_desc;
-
-    dims_t scaleshift_dims = { 2, data_desc->dims[1] };
-    mkldnn_memory_desc_init_by_tag(&bd.data_scaleshift_desc, 2,
-            scaleshift_dims, data_type::f32, mkldnn_nc);
-    bd.diff_data_scaleshift_desc = zero_md();
-    if (bd.prop_kind == backward) {
-        bd.diff_data_scaleshift_desc = bd.data_scaleshift_desc;
-    }
-
-    dims_t stats_dims = { data_desc->dims[1] };
-    mkldnn_memory_desc_init_by_tag(&bd.mean_desc, 1, stats_dims,
-            data_type::f32, mkldnn_x);
-    bd.variance_desc = bd.mean_desc;
-    bd.batch_norm_epsilon = epsilon;
-
-    unsigned bnorm_flags =
-        mkldnn_use_global_stats | mkldnn_use_scaleshift | mkldnn_fuse_bn_relu;
-    if ((~bnorm_flags & flags) != 0) return invalid_arguments;
-
-    bd.flags = flags;
-
-    bool consistency = true
-        && utils::one_of(bd.data_desc.ndims, 2, 4, 5);
-    if (bd.prop_kind == backward_data)
-        consistency = consistency
-            && utils::one_of(bd.diff_data_desc.ndims, 2, 4, 5)
-            && array_cmp(bd.diff_data_desc.dims, bd.data_desc.dims,
-                    bd.diff_data_desc.ndims);
-    if (!consistency) return invalid_arguments;
-
-    *bnrm_desc = bd;
-    return success;
-}
-}
-
-status_t mkldnn_batch_normalization_forward_desc_init(
-        batch_normalization_desc_t *bnrm_desc, prop_kind_t prop_kind,
-        const memory_desc_t *data_desc, float epsilon, unsigned flags) {
-    if (!one_of(prop_kind, forward_training, forward_inference))
-        return invalid_arguments;
-    return bnrm_desc_init(bnrm_desc, prop_kind, data_desc, nullptr,
-            epsilon, flags);
-}
-
-status_t mkldnn_batch_normalization_backward_desc_init(
-        batch_normalization_desc_t *bnrm_desc, prop_kind_t prop_kind,
-        const memory_desc_t *diff_data_desc, const memory_desc_t *data_desc,
-        float epsilon, unsigned flags) {
-    if (!one_of(prop_kind, backward, backward_data))
-        return invalid_arguments;
-    return bnrm_desc_init(bnrm_desc, prop_kind, data_desc, diff_data_desc,
-            epsilon, flags);
-}
-
-// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s