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usr
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local
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lib64
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python3.6
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site-packages
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torch
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include
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c10
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util
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/usr/local/lib64/python3.6/site-packages/torch/include/c10/util
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accumulate.h
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AlignOf.h
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Array.h
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ArrayRef.h
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FunctionRef.h
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llvmMathExtras.h
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Logging.h
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MathConstants.h
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numa.h
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order_preserving_flat_hash_map.h
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overloaded.h
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python_stub.h
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qint8.h
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qint32.h
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reverse_iterator.h
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StringUtil.h
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string_utils.h
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tempfile.h
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ThreadLocal.h
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thread_name.h
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TypeCast.h
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TypeList.h
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/usr/local/lib64/python3.6/site-packages/torch/include/c10/util/accumulate.h
(4205B)
// Copyright 2004-present Facebook. All Rights Reserved. #pragma once #include <c10/util/ArrayRef.h> #include <iterator> #include <numeric> #include <type_traits> namespace c10 { /// Sum of a list of integers; accumulates into the int64_t datatype template < typename C, typename std::enable_if< std::is_integral<typename C::value_type>::value, int>::type = 0> inline int64_t sum_integers(const C& container) { // std::accumulate infers return type from `init` type, so if the `init` type // is not large enough to hold the result, computation can overflow. We use // `int64_t` here to avoid this. return std::accumulate( container.begin(), container.end(), static_cast<int64_t>(0)); } /// Sum of integer elements referred to by iterators; accumulates into the /// int64_t datatype template < typename Iter, typename std::enable_if< std::is_integral< typename std::iterator_traits<Iter>::value_type>::value, int>::type = 0> inline int64_t sum_integers(Iter begin, Iter end) { // std::accumulate infers return type from `init` type, so if the `init` type // is not large enough to hold the result, computation can overflow. We use // `int64_t` here to avoid this. return std::accumulate(begin, end, static_cast<int64_t>(0)); } /// Product of a list of integers; accumulates into the int64_t datatype template < typename C, typename std::enable_if< std::is_integral<typename C::value_type>::value, int>::type = 0> inline int64_t multiply_integers(const C& container) { // std::accumulate infers return type from `init` type, so if the `init` type // is not large enough to hold the result, computation can overflow. We use // `int64_t` here to avoid this. return std::accumulate( container.begin(), container.end(), static_cast<int64_t>(1), std::multiplies<int64_t>()); } /// Product of integer elements referred to by iterators; accumulates into the /// int64_t datatype template < typename Iter, typename std::enable_if< std::is_integral< typename std::iterator_traits<Iter>::value_type>::value, int>::type = 0> inline int64_t multiply_integers(Iter begin, Iter end) { // std::accumulate infers return type from `init` type, so if the `init` type // is not large enough to hold the result, computation can overflow. We use // `int64_t` here to avoid this. return std::accumulate( begin, end, static_cast<int64_t>(1), std::multiplies<int64_t>()); } /// Return product of all dimensions starting from k /// Returns 1 if k>=dims.size() template < typename C, typename std::enable_if< std::is_integral<typename C::value_type>::value, int>::type = 0> inline int64_t numelements_from_dim(const int k, const C& dims) { TORCH_INTERNAL_ASSERT_DEBUG_ONLY(k >= 0); if (k > dims.size()) { return 1; } else { auto cbegin = dims.cbegin(); std::advance(cbegin, k); return multiply_integers(cbegin, dims.cend()); } } /// Product of all dims up to k (not including dims[k]) /// Throws an error if k>dims.size() template < typename C, typename std::enable_if< std::is_integral<typename C::value_type>::value, int>::type = 0> inline int64_t numelements_to_dim(const int k, const C& dims) { TORCH_INTERNAL_ASSERT(0 <= k); TORCH_INTERNAL_ASSERT((unsigned)k <= dims.size()); auto cend = dims.cbegin(); std::advance(cend, k); return multiply_integers(dims.cbegin(), cend); } /// Product of all dims between k and l (including dims[k] and excluding /// dims[l]) k and l may be supplied in either order template < typename C, typename std::enable_if< std::is_integral<typename C::value_type>::value, int>::type = 0> inline int64_t numelements_between_dim(int k, int l, const C& dims) { TORCH_INTERNAL_ASSERT(0 <= k); TORCH_INTERNAL_ASSERT(0 <= l); if (k > l) { std::swap(k, l); } TORCH_INTERNAL_ASSERT((unsigned)l < dims.size()); auto cbegin = dims.cbegin(); auto cend = dims.cbegin(); std::advance(cbegin, k); std::advance(cend, l); return multiply_integers(cbegin, cend); } } // namespace c10
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