/******************************************************************************* * 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. *******************************************************************************/ #ifndef SOFTMAX_FWD_PD_HPP #define SOFTMAX_FWD_PD_HPP #include "mkldnn.h" #include "c_types_map.hpp" #include "primitive_desc.hpp" #include "memory_pd.hpp" namespace mkldnn { namespace impl { struct softmax_fwd_pd_t: public primitive_desc_t { typedef softmax_fwd_pd_t base_class; typedef softmax_fwd_pd_t hint_class; static constexpr auto base_pkind = primitive_kind::softmax; softmax_fwd_pd_t(mkldnn::impl::engine_t *engine, const softmax_desc_t *adesc, const primitive_attr_t *attr, const softmax_fwd_pd_t *hint_fwd_pd) : primitive_desc_t(engine, attr, primitive_kind::softmax) , desc_(*adesc), hint_fwd_pd_(hint_fwd_pd) {} virtual ~softmax_fwd_pd_t() {} const softmax_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 { init_info_softmax(this, this->info_); } virtual const memory_pd_t *input_pd(int index = 0) const override { return index == 0 ? src_pd() : nullptr; } virtual const memory_pd_t *output_pd(int index = 0) const override { if (index == 0) return dst_pd(); if (index == 1) return workspace_pd(); return nullptr; } virtual int n_inputs() const override { return 1; } virtual int n_outputs() const override { return 1 + (workspace_pd() != nullptr); } virtual status_t query(query_t what, int idx, void *result) const override { switch (what) { case query::softmax_d: *(const softmax_desc_t**)result = desc(); break; default: return primitive_desc_t::query(what, idx, result); } return status::success; } /* common softmax aux functions */ inline int MB() const { return desc_.data_desc.dims[0]; } inline int C() const { return desc_.data_desc.dims[1]; } inline int D() const { return ndims() >= 5 ? desc_.data_desc.dims[ndims() - 3] : 1; } inline int H() const { return ndims() >= 4 ? desc_.data_desc.dims[ndims() - 2] : 1; } inline int W() const { return ndims() >= 3 ? desc_.data_desc.dims[ndims() - 1] : 1; } dim_t outer_size() const { return utils::array_product(desc_.data_desc.dims, axis()); } dim_t axis_size() const { return desc_.data_desc.dims[axis()]; } dim_t inner_size() const { return utils::array_product(desc_.data_desc.dims + axis() + 1, ndims() - 1 - axis()); } dim_t outer_stride() const { const memory_desc_wrapper data_d(desc_.data_desc); return axis() > 0 ? (dim_t)data_d.blocking_desc().strides[0][axis() - 1] : 1; } int axis() const { return desc_.softmax_axis; } int ndims() const { return desc_.data_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 { return memory_desc_wrapper(desc_.data_desc).has_zero_dim(); } protected: softmax_desc_t desc_; const softmax_fwd_pd_t *hint_fwd_pd_; }; struct softmax_bwd_pd_t: public primitive_desc_t { typedef softmax_bwd_pd_t base_class; typedef softmax_fwd_pd_t hint_class; static constexpr auto base_pkind = primitive_kind::softmax; softmax_bwd_pd_t(mkldnn::impl::engine_t *engine, const softmax_desc_t *adesc, const primitive_attr_t *attr, const softmax_fwd_pd_t *hint_fwd_pd) // FWD? : primitive_desc_t(engine, attr, primitive_kind::softmax) , desc_(*adesc), hint_fwd_pd_(hint_fwd_pd) {} virtual ~softmax_bwd_pd_t() {} const softmax_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 { init_info_softmax(this, this->info_); } virtual const memory_pd_t *input_pd(int index = 0) const override { if (index == 0) return dst_pd(); if (index == 1) return diff_dst_pd(); return nullptr; } virtual const memory_pd_t *output_pd(int index = 0) const override { return index == 0 ? diff_src_pd() : nullptr; } virtual int n_inputs() const override { return 2 + (workspace_pd() != nullptr); } virtual int n_outputs() const override { return 1; } virtual status_t query(query_t what, int idx, void *result) const override { switch (what) { case query::softmax_d: *(const softmax_desc_t**)result = desc(); break; default: return primitive_desc_t::query(what, idx, result); } return status::success; } /* common softmax aux functions */ inline int MB() const { return desc_.data_desc.dims[0]; } inline int C() const { return desc_.data_desc.dims[1]; } inline int D() const { return ndims() >= 5 ? desc_.data_desc.dims[ndims() - 3] : 1; } inline int H() const { return ndims() >= 4 ? desc_.data_desc.dims[ndims() - 2] : 1; } inline int W() const { return ndims() >= 3 ? desc_.data_desc.dims[ndims() - 1] : 1; } dim_t outer_size() const { return utils::array_product(desc_.data_desc.dims, axis()); } dim_t axis_size() const { return desc_.data_desc.dims[axis()]; } dim_t inner_size() const { return utils::array_product(desc_.data_desc.dims + axis() + 1, ndims() - 1 - axis()); } dim_t outer_stride() const { const memory_desc_wrapper data_d(desc_.data_desc); return axis() > 0 ? (dim_t)data_d.blocking_desc().strides[0][axis() - 1] : 1; } int axis() const { return desc_.softmax_axis; } int ndims() const { return desc_.data_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 { return memory_desc_wrapper(desc_.data_desc).has_zero_dim(); } protected: softmax_desc_t desc_; const softmax_fwd_pd_t *hint_fwd_pd_; }; } } #endif // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s