diff options
Diffstat (limited to 'thirdparty/oidn/mkl-dnn/src/common/deconvolution.cpp')
| -rw-r--r-- | thirdparty/oidn/mkl-dnn/src/common/deconvolution.cpp | 188 |
1 files changed, 0 insertions, 188 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/common/deconvolution.cpp b/thirdparty/oidn/mkl-dnn/src/common/deconvolution.cpp deleted file mode 100644 index 98063c1c37..0000000000 --- a/thirdparty/oidn/mkl-dnn/src/common/deconvolution.cpp +++ /dev/null @@ -1,188 +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 "mkldnn.h" -#include <assert.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 deconv_desc_init(deconvolution_desc_t *deconv_desc, - prop_kind_t prop_kind, alg_kind_t alg_kind, - const memory_desc_t *src_desc, const memory_desc_t *weights_desc, - const memory_desc_t *bias_desc, const memory_desc_t *dst_desc, - const dims_t strides, const dims_t dilates, const dims_t padding_l, - const dims_t padding_r, padding_kind_t padding_kind) { - bool args_ok = true - && !any_null(deconv_desc, src_desc, weights_desc, dst_desc, strides, - padding_l) - && one_of(alg_kind, deconvolution_direct, deconvolution_winograd) - && one_of(padding_kind, padding_kind::padding_zero); - if (!args_ok) - return invalid_arguments; - - if (padding_r == nullptr) - padding_r = padding_l; - - auto dd = deconvolution_desc_t(); - dd.primitive_kind = primitive_kind::deconvolution; - dd.prop_kind = prop_kind; - dd.alg_kind = alg_kind; - - dd.diff_src_desc = dd.src_desc = zero_md(); - dd.diff_dst_desc = dd.dst_desc = zero_md(); - dd.diff_weights_desc = dd.weights_desc = zero_md(); - dd.diff_bias_desc = dd.bias_desc = zero_md(); - - const bool is_fwd = one_of(prop_kind, forward_training, forward_inference); - const bool with_bias - = bias_desc && bias_desc->format_kind != format_kind::undef; - const bool with_groups = weights_desc->ndims == src_desc->ndims + 1; - - (prop_kind == backward_data ? dd.diff_src_desc : dd.src_desc) = *src_desc; - (is_fwd ? dd.dst_desc : dd.diff_dst_desc) = *dst_desc; - (prop_kind == backward_weights ? dd.diff_weights_desc : dd.weights_desc) - = *weights_desc; - if (with_bias) - (prop_kind == backward_weights ? dd.diff_bias_desc : dd.bias_desc) - = *bias_desc; - - int sp_dims = src_desc->ndims - 2; - utils::array_copy(dd.strides, strides, sp_dims); - utils::array_copy(dd.padding[0], padding_l, sp_dims); - utils::array_copy(dd.padding[1], padding_r, sp_dims); - if (dilates) - utils::array_copy(dd.dilates, dilates, sp_dims); - else - utils::array_set(dd.dilates, 0, sp_dims); - - dd.padding_kind = padding_kind; - dd.accum_data_type = types::default_accum_data_type(src_desc->data_type, - weights_desc->data_type, dst_desc->data_type, prop_kind); - - const int g = with_groups ? weights_desc->dims[0] : 1; - bool consistency = true - && src_desc->ndims == dst_desc->ndims - && utils::one_of(src_desc->ndims, 3, 4, 5) - && utils::one_of(weights_desc->ndims, src_desc->ndims, - src_desc->ndims + 1) - && (with_bias ? bias_desc->ndims == 1 : true) - && (with_bias ? bias_desc->dims[0] == dst_desc->dims[1] : true) - && src_desc->dims[0] == dst_desc->dims[0] - && src_desc->dims[1] == g * weights_desc->dims[with_groups + 1] - && dst_desc->dims[1] == g * weights_desc->dims[with_groups + 0]; - for (int i = 2; i < src_desc->ndims; ++i) { - int src = src_desc->dims[i]; - int ker = weights_desc->dims[with_groups + i]; - int dil = dd.dilates[i - 2]; - int pad = padding_l[i - 2] + padding_r[i - 2]; - int str = strides[i - 2]; - int dst = dst_desc->dims[i]; - int ker_range = 1 + (ker - 1) * (dil + 1); - - consistency - = consistency && (dst - ker_range + pad) / str + 1 == src; - } - if (!consistency) - return invalid_arguments; - - *deconv_desc = dd; - return success; -} -} - -status_t mkldnn_deconvolution_forward_desc_init( - deconvolution_desc_t *deconv_desc, prop_kind_t prop_kind, - alg_kind_t alg_kind, const memory_desc_t *src_desc, - const memory_desc_t *weights_desc, const memory_desc_t *bias_desc, - const memory_desc_t *dst_desc, const dims_t strides, - const dims_t padding_l, const dims_t padding_r, - padding_kind_t padding_kind) { - if (!one_of(prop_kind, forward_training, forward_inference)) - return invalid_arguments; - return deconv_desc_init(deconv_desc, prop_kind, alg_kind, src_desc, - weights_desc, bias_desc, dst_desc, strides, nullptr, padding_l, - padding_r, padding_kind); -} - -status_t mkldnn_dilated_deconvolution_forward_desc_init( - deconvolution_desc_t *deconv_desc, prop_kind_t prop_kind, - alg_kind_t alg_kind, const memory_desc_t *src_desc, - const memory_desc_t *weights_desc, const memory_desc_t *bias_desc, - const memory_desc_t *dst_desc, const dims_t strides, - const dims_t dilates, const dims_t padding_l, const dims_t padding_r, - padding_kind_t padding_kind) { - if (!one_of(prop_kind, forward_training, forward_inference)) - return invalid_arguments; - return deconv_desc_init(deconv_desc, prop_kind, alg_kind, src_desc, - weights_desc, bias_desc, dst_desc, strides, dilates, padding_l, - padding_r, padding_kind); -} - -status_t mkldnn_deconvolution_backward_data_desc_init( - deconvolution_desc_t *deconv_desc, alg_kind_t alg_kind, - const memory_desc_t *diff_src_desc, const memory_desc_t *weights_desc, - const memory_desc_t *diff_dst_desc, const dims_t strides, - const dims_t padding_l, const dims_t padding_r, - padding_kind_t padding_kind) { - return deconv_desc_init(deconv_desc, backward_data, alg_kind, diff_src_desc, - weights_desc, nullptr, diff_dst_desc, strides, nullptr, padding_l, - padding_r, padding_kind); -} - -status_t mkldnn_dilated_deconvolution_backward_data_desc_init( - deconvolution_desc_t *deconv_desc, alg_kind_t alg_kind, - const memory_desc_t *diff_src_desc, const memory_desc_t *weights_desc, - const memory_desc_t *diff_dst_desc, const dims_t strides, - const dims_t dilates, const dims_t padding_l, const dims_t padding_r, - padding_kind_t padding_kind) { - return deconv_desc_init(deconv_desc, backward_data, alg_kind, diff_src_desc, - weights_desc, nullptr, diff_dst_desc, strides,dilates, padding_l, - padding_r, padding_kind); -} - -status_t mkldnn_deconvolution_backward_weights_desc_init( - deconvolution_desc_t *deconv_desc, alg_kind_t alg_kind, - const memory_desc_t *src_desc, const memory_desc_t *diff_weights_desc, - const memory_desc_t *diff_bias_desc, const memory_desc_t *diff_dst_desc, - const dims_t strides, const dims_t padding_l, const dims_t padding_r, - padding_kind_t padding_kind) { - return deconv_desc_init(deconv_desc, backward_weights, alg_kind, src_desc, - diff_weights_desc, diff_bias_desc, diff_dst_desc, strides, nullptr, - padding_l, padding_r, padding_kind); -} - -status_t mkldnn_dilated_deconvolution_backward_weights_desc_init( - deconvolution_desc_t *deconv_desc, alg_kind_t alg_kind, - const memory_desc_t *src_desc, const memory_desc_t *diff_weights_desc, - const memory_desc_t *diff_bias_desc, const memory_desc_t *diff_dst_desc, - const dims_t strides, const dims_t dilates, const dims_t padding_l, - const dims_t padding_r, padding_kind_t padding_kind) { - return deconv_desc_init(deconv_desc, backward_weights, alg_kind, src_desc, - diff_weights_desc, diff_bias_desc, diff_dst_desc, strides, dilates, - padding_l, padding_r, padding_kind); -} - -// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s |