/******************************************************************************* * 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. *******************************************************************************/ #ifndef DECONVOLUTION_PD_HPP #define DECONVOLUTION_PD_HPP #include "mkldnn.h" #include "c_types_map.hpp" #include "convolution_pd.hpp" #include "primitive_desc.hpp" #include "utils.hpp" namespace mkldnn { namespace impl { struct deconvolution_fwd_pd_t; struct deconvolution_pd_t: public primitive_desc_t { static constexpr auto base_pkind = primitive_kind::deconvolution; deconvolution_pd_t(engine_t *engine, const deconvolution_desc_t *adesc, const primitive_attr_t *attr, const deconvolution_fwd_pd_t *hint_fwd_pd) : primitive_desc_t(engine, attr, base_pkind) , desc_(*adesc) , hint_fwd_pd_(hint_fwd_pd) {} const deconvolution_desc_t *desc() const { return &desc_; } virtual const op_desc_t *op_desc() const override { return reinterpret_cast(this->desc()); } virtual void init_info() override { impl::init_info(this, this->info_); } virtual status_t query(query_t what, int idx, void *result) const override { switch (what) { case pkind_traits::query_d: *(const deconvolution_desc_t **)result = desc(); break; default: return primitive_desc_t::query(what, idx, result); } return status::success; } /* common deconv aux functions (note that conv_desc_t == deconv_desc_t) */ dim_t MB() const { return conv_prop_invariant_src_d(&desc_)->dims[0]; } dim_t IC() const { return conv_prop_invariant_src_d(&desc_)->dims[1]; } dim_t OC() const { return conv_prop_invariant_dst_d(&desc_)->dims[1]; } dim_t G() const { return with_groups() ? conv_prop_invariant_wei_d(&desc_)->dims[0] : 1; } dim_t ID() const { return ndims() >= 5 ? conv_prop_invariant_src_d(&desc_)->dims[ndims() - 3] : 1; } dim_t IH() const { return ndims() >= 4 ? conv_prop_invariant_src_d(&desc_)->dims[ndims() - 2] : 1; } dim_t IW() const { return conv_prop_invariant_src_d(&desc_)->dims[ndims() - 1]; } dim_t OD() const { return ndims() >= 5 ? conv_prop_invariant_dst_d(&desc_)->dims[ndims() - 3] : 1; } dim_t OH() const { return ndims() >= 4 ? conv_prop_invariant_dst_d(&desc_)->dims[ndims() - 2] : 1; } dim_t OW() const { return conv_prop_invariant_dst_d(&desc_)->dims[ndims() - 1]; } dim_t KD() const { const int w_ndims = ndims() + with_groups(); return ndims() >= 5 ? conv_prop_invariant_wei_d(&desc_)->dims[w_ndims - 3] : 1; } dim_t KH() const { const int w_ndims = ndims() + with_groups(); return ndims() >= 4 ? conv_prop_invariant_wei_d(&desc_)->dims[w_ndims - 2] : 1; } dim_t KW() const { const int w_ndims = ndims() + with_groups(); return conv_prop_invariant_wei_d(&desc_)->dims[w_ndims - 1]; } dim_t KSD() const { return ndims() >= 5 ? desc_.strides[ndims() - 5] : 1; } dim_t KSH() const { return ndims() >= 4 ? desc_.strides[ndims() - 4] : 1; } dim_t KSW() const { return desc_.strides[ndims() - 3]; } dim_t KDD() const { return ndims() >= 5 ? desc_.dilates[ndims() - 5] : 0; } dim_t KDH() const { return ndims() >= 4 ? desc_.dilates[ndims() - 4] : 1; } dim_t KDW() const { return desc_.dilates[ndims() - 3]; } dim_t padFront() const { return ndims() >= 5 ? desc_.padding[0][ndims() - 5] : 0; } dim_t padBack() const { return ndims() >= 5 ? desc_.padding[1][ndims() - 5] : 0; } dim_t padT() const { return ndims() >= 4 ? desc_.padding[0][ndims() - 4] : 0; } dim_t padB() const { return ndims() >= 4 ? desc_.padding[1][ndims() - 4] : 0; } dim_t padL() const { return desc_.padding[0][ndims() - 3]; } dim_t padR() const { return desc_.padding[1][ndims() - 3]; } bool with_bias() const { return !memory_desc_wrapper(*conv_prop_invariant_bia_d(&desc_)).is_zero(); } bool with_groups() const { return conv_prop_invariant_wei_d(&desc_)->ndims == ndims() + 1; } int ndims() const { return conv_prop_invariant_src_d(&desc_)->ndims; } bool is_fwd() const { return utils::one_of(desc_.prop_kind, prop_kind::forward_training, prop_kind::forward_inference); } bool has_zero_dim_memory() const { const auto s_d = memory_desc_wrapper(*conv_prop_invariant_src_d(&desc_)); const auto d_d = memory_desc_wrapper(*conv_prop_invariant_dst_d(&desc_)); return s_d.has_zero_dim() || d_d.has_zero_dim(); } protected: deconvolution_desc_t desc_; const deconvolution_fwd_pd_t *hint_fwd_pd_; }; struct deconvolution_fwd_pd_t: public deconvolution_pd_t { typedef deconvolution_fwd_pd_t base_class; typedef deconvolution_fwd_pd_t hint_class; deconvolution_fwd_pd_t(engine_t *engine, const deconvolution_desc_t *adesc, const primitive_attr_t *attr, const deconvolution_fwd_pd_t *hint_fwd_pd) : deconvolution_pd_t(engine, adesc, attr, hint_fwd_pd) , src_md_(desc_.src_desc) , weights_md_(desc_.weights_desc) , bias_md_(desc_.bias_desc) , dst_md_(desc_.dst_desc) {} virtual arg_usage_t arg_usage(primitive_arg_index_t arg) const override { if (utils::one_of(arg, MKLDNN_ARG_SRC, MKLDNN_ARG_WEIGHTS)) return arg_usage_t::input; if (arg == MKLDNN_ARG_BIAS && with_bias()) return arg_usage_t::input; if (arg == MKLDNN_ARG_DST) return arg_usage_t::output; return primitive_desc_t::arg_usage(arg); } virtual const memory_desc_t *src_md(int index = 0) const override { return index == 0 ? &src_md_ : nullptr; } virtual const memory_desc_t *dst_md(int index = 0) const override { return index == 0 ? &dst_md_ : nullptr; } virtual const memory_desc_t *weights_md(int index = 0) const override { if (index == 0) return &weights_md_; if (index == 1 && with_bias()) return &bias_md_; return nullptr; } virtual int n_inputs() const override { return 2 + with_bias(); } virtual int n_outputs() const override { return 1; } protected: memory_desc_t src_md_; memory_desc_t weights_md_; memory_desc_t bias_md_; memory_desc_t dst_md_; }; struct deconvolution_bwd_data_pd_t: public deconvolution_pd_t { typedef deconvolution_bwd_data_pd_t base_class; typedef deconvolution_fwd_pd_t hint_class; deconvolution_bwd_data_pd_t(engine_t *engine, const deconvolution_desc_t *adesc, const primitive_attr_t *attr, const deconvolution_fwd_pd_t *hint_fwd_pd) : deconvolution_pd_t(engine, adesc, attr, hint_fwd_pd) , diff_src_md_(desc_.diff_src_desc) , weights_md_(desc_.weights_desc) , diff_dst_md_(desc_.diff_dst_desc) {} virtual arg_usage_t arg_usage(primitive_arg_index_t arg) const override { if (utils::one_of(arg, MKLDNN_ARG_WEIGHTS, MKLDNN_ARG_DIFF_DST)) return arg_usage_t::input; if (arg == MKLDNN_ARG_DIFF_SRC) return arg_usage_t::output; return primitive_desc_t::arg_usage(arg); } virtual const memory_desc_t *diff_src_md(int index = 0) const override { return index == 0 ? &diff_src_md_ : nullptr; } virtual const memory_desc_t *diff_dst_md(int index = 0) const override { return index == 0 ? &diff_dst_md_ : nullptr; } virtual const memory_desc_t *weights_md(int index = 0) const override { return index == 0 ? &weights_md_ : nullptr; } virtual int n_inputs() const override { return 2; } virtual int n_outputs() const override { return 1; } protected: memory_desc_t diff_src_md_; memory_desc_t weights_md_; memory_desc_t diff_dst_md_; }; struct deconvolution_bwd_weights_pd_t: public deconvolution_pd_t { typedef deconvolution_bwd_weights_pd_t base_class; typedef deconvolution_fwd_pd_t hint_class; deconvolution_bwd_weights_pd_t(engine_t *engine, const deconvolution_desc_t *adesc, const primitive_attr_t *attr, const deconvolution_fwd_pd_t *hint_fwd_pd) : deconvolution_pd_t(engine, adesc, attr, hint_fwd_pd) , src_md_(desc_.src_desc) , diff_weights_md_(desc_.diff_weights_desc) , diff_bias_md_(desc_.diff_bias_desc) , diff_dst_md_(desc_.diff_dst_desc) {} virtual arg_usage_t arg_usage(primitive_arg_index_t arg) const override { if (utils::one_of(arg, MKLDNN_ARG_SRC, MKLDNN_ARG_DIFF_DST)) return arg_usage_t::input; if (arg == MKLDNN_ARG_DIFF_WEIGHTS) return arg_usage_t::output; if (arg == MKLDNN_ARG_DIFF_BIAS && with_bias()) return arg_usage_t::output; return primitive_desc_t::arg_usage(arg); } virtual const memory_desc_t *src_md(int index = 0) const override { return index == 0 ? &src_md_ : nullptr; } virtual const memory_desc_t *diff_dst_md(int index = 0) const override { return index == 0 ? &diff_dst_md_ : nullptr; } virtual const memory_desc_t *diff_weights_md(int index = 0) const override { if (index == 0) return &diff_weights_md_; if (index == 1 && with_bias()) return &diff_bias_md_; return nullptr; } virtual int n_inputs() const override { return 2; } virtual int n_outputs() const override { return 1 + with_bias(); } protected: memory_desc_t src_md_; memory_desc_t diff_weights_md_; memory_desc_t diff_bias_md_; memory_desc_t diff_dst_md_; }; } } #endif // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s