/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. 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. */ #pragma once #include #include #include #include "paddle/fluid/framework/dim.h" namespace paddle { namespace framework { #define PADDLE_VISIT_DDIM_BASE(rank, callback) \ case (rank): { \ constexpr auto kRank = (rank); \ return (callback); \ } #define PADDLE_VISIT_DDIM(rank, callback) \ switch (rank) { \ PADDLE_VISIT_DDIM_BASE(0, callback); \ PADDLE_VISIT_DDIM_BASE(1, callback); \ PADDLE_VISIT_DDIM_BASE(2, callback); \ PADDLE_VISIT_DDIM_BASE(3, callback); \ PADDLE_VISIT_DDIM_BASE(4, callback); \ PADDLE_VISIT_DDIM_BASE(5, callback); \ PADDLE_VISIT_DDIM_BASE(6, callback); \ PADDLE_VISIT_DDIM_BASE(7, callback); \ PADDLE_VISIT_DDIM_BASE(8, callback); \ PADDLE_VISIT_DDIM_BASE(9, callback); \ default: \ PADDLE_THROW("Invalid rank %d", rank); \ } template inline void dynamic_dim_assign(const T1* in, T2* out, int n) { PADDLE_VISIT_DDIM(n, (static_dim_assign(in, out))); } /** * \brief A dynamically sized dimension. * * The number of dimensions must be between [1, 9]. */ class DDim { public: constexpr static int kMaxRank = 9; DDim() : rank_(1) { dim_[0] = 0; } DDim(const DDim& ddim) : dim_() { CopyFrom(ddim); } DDim(const int* d, int n) : rank_(n) { dynamic_dim_assign(d, dim_.GetMutable(), n); } DDim(const int64_t* d, int n) : rank_(n) { dynamic_dim_assign(d, dim_.GetMutable(), n); } template /*implicit*/ DDim(const Dim& in) : rank_(D) { // NOLINT UnsafeCast() = in; } /*implicit*/ DDim(std::initializer_list init_list) : DDim(init_list.begin(), init_list.size()) {} inline DDim& operator=(const DDim& ddim) { return CopyFrom(ddim); } template inline DDim& operator=(const Dim& dim) { rank_ = D; UnsafeCast() = dim; return *this; } inline int64_t& operator[](int idx) { return dim_[idx]; } inline int64_t operator[](int idx) const { return dim_[idx]; } inline int64_t& at(int idx) { PADDLE_ENFORCE(idx >= 0 && idx < rank_, "Invalid idx %d", idx); return dim_[idx]; } inline int64_t at(int idx) const { PADDLE_ENFORCE(idx >= 0 && idx < rank_, "Invalid idx %d", idx); return dim_[idx]; } template typename std::result_of&)>::type apply_visitor( Visitor&& visitor) { PADDLE_VISIT_DDIM(rank_, visitor(UnsafeCast())); } template typename std::result_of&)>::type apply_visitor( Visitor&& visitor) const { PADDLE_VISIT_DDIM(rank_, visitor(UnsafeCast())); } bool operator==(const DDim& d) const; bool operator!=(const DDim& d) const; inline const int64_t* Get() const { return dim_.Get(); } inline int64_t* GetMutable() { return dim_.GetMutable(); } inline int size() const { return rank_; } private: template inline Dim& UnsafeCast() { static_assert(D >= 0 && D <= kMaxRank, "Invalid rank"); auto* p = static_cast(&dim_); return *reinterpret_cast*>(p); } template inline const Dim& UnsafeCast() const { static_assert(D >= 0 && D <= kMaxRank, "Invalid rank"); auto* p = static_cast(&dim_); return *reinterpret_cast*>(p); } inline DDim& CopyFrom(const DDim& ddim) { PADDLE_VISIT_DDIM(ddim.rank_, (*this = ddim.UnsafeCast())); } friend DDim stride(const DDim& ddim); friend DDim stride_numel(const DDim& ddim); private: Dim dim_; int rank_; }; #undef PADDLE_VISIT_DDIM_BASE #undef PADDLE_VISIT_DDIM /** * \brief Make a DDim from std::vector * * \param dims An vector of ints. Must be sized between [1, 9] */ DDim make_ddim(const std::vector& dims); DDim make_ddim(const std::vector& dims); /** * \brief Make a DDim from an initializer list * * \param dims An initializer list of ints. Must be sized between [1, 9] * */ DDim make_ddim(std::initializer_list dims); template std::vector vectorize(const DDim& ddim) { std::vector result(DDim::kMaxRank); dynamic_dim_assign(ddim.Get(), result.data(), ddim.size()); result.resize(ddim.size()); return result; } int64_t product(const DDim& ddim); bool contain_unknown_dim(const DDim& ddim); /** * \brief Slice a ddim * * Slice dim with [begin, end). * e.g. DDim d = make_ddim({1,2,3,4,5}); * slice_ddim(d, 1, 3); ====> {2,3} */ DDim slice_ddim(const DDim& dim, int begin, int end); /** * \brief What is the length of this dimension? * * \param Dynamic dimension to inspect */ int arity(const DDim& ddim); std::ostream& operator<<(std::ostream&, const DDim&); // Reshape a tensor to a matrix. The matrix's first dimension(column length) // will be the product of tensor's first `num_col_dims` dimensions. DDim flatten_to_2d(const DDim& src, int num_col_dims); DDim flatten_to_1d(const DDim& src); DDim stride(const DDim& ddim); DDim stride_numel(const DDim& ddim); } // namespace framework } // namespace paddle