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author | RĂ©mi Verschelde <rverschelde@gmail.com> | 2020-05-11 13:45:48 +0200 |
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committer | GitHub <noreply@github.com> | 2020-05-11 13:45:48 +0200 |
commit | 32133a11b56761df99579ad96ee29a47d2aed6b4 (patch) | |
tree | ab68992cfe6b1f59a618f713545fdcb3b6488b07 /thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp | |
parent | bbdfc7353c3af72fcdf037ff10b8571aa2afc230 (diff) | |
parent | 1bea8e1eacc68bcedbd3f207395bccf11011dae2 (diff) |
Merge pull request #38386 from reduz/new-lightmapper
New GPU lightmapper
Diffstat (limited to 'thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp')
-rw-r--r-- | thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp b/thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp new file mode 100644 index 0000000000..e32e735224 --- /dev/null +++ b/thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp @@ -0,0 +1,72 @@ +/******************************************************************************* +* 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 <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::types; + +namespace { +status_t shuffle_desc_init(shuffle_desc_t *shuffle_desc, prop_kind_t prop_kind, + const memory_desc_t *data_desc, int axis, dim_t group_size) { + bool args_ok = true + && !any_null(shuffle_desc, data_desc) + && one_of(prop_kind, forward_training, forward_inference, + backward, backward_data) + && axis >= 0 && axis < data_desc->ndims + && group_size > 0 && group_size <= data_desc->dims[axis]; + if (!args_ok) return invalid_arguments; + + auto sd = shuffle_desc_t(); + sd.primitive_kind = primitive_kind::shuffle; + sd.prop_kind = prop_kind; + sd.data_desc = *data_desc; + sd.axis = axis; + sd.group_size = group_size; + + bool consistency = true + && sd.data_desc.dims[axis] % sd.group_size == 0; + if (!consistency) return invalid_arguments; + + *shuffle_desc = sd; + return success; +} +} + +status_t mkldnn_shuffle_forward_desc_init(shuffle_desc_t *shuffle_desc, + prop_kind_t prop_kind, const memory_desc_t *data_desc, int axis, + dim_t group_size) { + if (!one_of(prop_kind, forward_training, forward_inference)) + return invalid_arguments; + return shuffle_desc_init(shuffle_desc, prop_kind, data_desc, axis, + group_size); +} + +status_t mkldnn_shuffle_backward_desc_init(shuffle_desc_t *shuffle_desc, + const memory_desc_t *diff_data_desc, int axis, dim_t group_size) { + return shuffle_desc_init(shuffle_desc, backward_data, diff_data_desc, axis, + group_size); +} + +// vim: et ts=5 sw=4 cindent cino^=l0,\:0,N-s |