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#pragma once
#include <algorithm>
#include <cstdint>
#include <c10/macros/Macros.h>
#include <c10/util/ArrayRef.h>
#include <c10/util/SmallVector.h>
#define C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE 5
namespace c10 {
namespace impl {
// Packed container for TensorImpl sizes and strides.
// This design improves on the previous approach of using a pair of
// c10::SmallVector<int64_t, 5> by specializing for the operations we
// actually use and enforcing that the number of sizes is the same as
// the number of strides. The memory layout is as follows:
//
// 1 size_t for the size
// 5 eightbytes of inline sizes and 5 eightbytes of inline strides, OR pointer
// to out-of-line array
class C10_API SizesAndStrides {
public:
// TODO: different iterator types for sizes & strides to prevent
// mixing the two accidentally.
using sizes_iterator = int64_t*;
using sizes_const_iterator = const int64_t*;
using strides_iterator = int64_t*;
using strides_const_iterator = const int64_t*;
SizesAndStrides() : size_(1) {
size_at_unchecked(0) = 0;
stride_at_unchecked(0) = 1;
}
~SizesAndStrides() {
if (C10_UNLIKELY(!isInline())) {
free(outOfLineStorage_);
}
}
SizesAndStrides(const SizesAndStrides& rhs) : size_(rhs.size_) {
if (C10_LIKELY(rhs.isInline())) {
copyDataInline(rhs);
} else {
allocateOutOfLineStorage(size_);
copyDataOutline(rhs);
}
}
SizesAndStrides& operator=(const SizesAndStrides& rhs) {
if (this == &rhs) {
return *this;
}
if (C10_LIKELY(rhs.isInline())) {
if (C10_UNLIKELY(!isInline())) {
free(outOfLineStorage_);
}
copyDataInline(rhs);
} else {
if (isInline()) {
allocateOutOfLineStorage(rhs.size_);
} else {
resizeOutOfLineStorage(rhs.size_);
}
copyDataOutline(rhs);
}
size_ = rhs.size_;
return *this;
}
// Move from rhs. rhs.size() == 0 afterwards.
SizesAndStrides(SizesAndStrides&& rhs) noexcept : size_(rhs.size_) {
if (C10_LIKELY(isInline())) {
memcpy(inlineStorage_, rhs.inlineStorage_, sizeof(inlineStorage_));
} else {
outOfLineStorage_ = rhs.outOfLineStorage_;
rhs.outOfLineStorage_ = nullptr;
}
rhs.size_ = 0;
}
// Move from rhs. rhs.size() == 0 afterwards.
SizesAndStrides& operator=(SizesAndStrides&& rhs) noexcept {
if (this == &rhs) {
return *this;
}
if (C10_LIKELY(rhs.isInline())) {
if (C10_UNLIKELY(!isInline())) {
free(outOfLineStorage_);
}
copyDataInline(rhs);
} else {
// They're outline. We're going to steal their vector.
if (!isInline()) {
free(outOfLineStorage_);
}
outOfLineStorage_ = rhs.outOfLineStorage_;
rhs.outOfLineStorage_ = nullptr;
}
size_ = rhs.size_;
rhs.size_ = 0;
return *this;
}
size_t size() const noexcept {
return size_;
}
const int64_t* sizes_data() const noexcept {
if (C10_LIKELY(isInline())) {
return &inlineStorage_[0];
} else {
return &outOfLineStorage_[0];
}
}
int64_t* sizes_data() noexcept {
if (C10_LIKELY(isInline())) {
return &inlineStorage_[0];
} else {
return &outOfLineStorage_[0];
}
}
sizes_const_iterator sizes_begin() const noexcept {
return sizes_data();
}
sizes_iterator sizes_begin() noexcept {
return sizes_data();
}
sizes_const_iterator sizes_end() const noexcept {
return sizes_begin() + size();
}
sizes_iterator sizes_end() noexcept {
return sizes_begin() + size();
}
IntArrayRef sizes_arrayref() const noexcept {
return IntArrayRef{sizes_data(), size()};
}
void set_sizes(IntArrayRef newSizes) {
resize(newSizes.size());
std::copy(newSizes.begin(), newSizes.end(), sizes_begin());
}
void set_strides(IntArrayRef strides) {
TORCH_INTERNAL_ASSERT(strides.size() == size());
std::copy(strides.begin(), strides.end(), strides_begin());
}
const int64_t* strides_data() const noexcept {
if (C10_LIKELY(isInline())) {
return &inlineStorage_[C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE];
} else {
return &outOfLineStorage_[size()];
}
}
int64_t* strides_data() noexcept {
if (C10_LIKELY(isInline())) {
return &inlineStorage_[C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE];
} else {
return &outOfLineStorage_[size()];
}
}
strides_const_iterator strides_begin() const noexcept {
if (C10_LIKELY(isInline())) {
return &inlineStorage_[C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE];
} else {
return &outOfLineStorage_[size()];
}
}
strides_iterator strides_begin() noexcept {
if (C10_LIKELY(isInline())) {
return &inlineStorage_[C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE];
} else {
return &outOfLineStorage_[size()];
}
}
strides_const_iterator strides_end() const noexcept {
return strides_begin() + size();
}
strides_iterator strides_end() noexcept {
return strides_begin() + size();
}
IntArrayRef strides_arrayref() const noexcept {
return IntArrayRef{strides_data(), size()};
}
// Size accessors.
int64_t size_at(size_t idx) const noexcept {
assert(idx < size());
return sizes_data()[idx];
}
int64_t& size_at(size_t idx) noexcept {
assert(idx < size());
return sizes_data()[idx];
}
int64_t size_at_unchecked(size_t idx) const noexcept {
return sizes_data()[idx];
}
int64_t& size_at_unchecked(size_t idx) noexcept {
return sizes_data()[idx];
}
// Size accessors.
int64_t stride_at(size_t idx) const noexcept {
assert(idx < size());
return strides_data()[idx];
}
int64_t& stride_at(size_t idx) noexcept {
assert(idx < size());
return strides_data()[idx];
}
int64_t stride_at_unchecked(size_t idx) const noexcept {
return strides_data()[idx];
}
int64_t& stride_at_unchecked(size_t idx) noexcept {
return strides_data()[idx];
}
void resize(size_t newSize) {
const auto oldSize = size();
if (newSize == oldSize) {
return;
}
if (C10_LIKELY(
newSize <= C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE && isInline())) {
if (oldSize < newSize) {
const auto bytesToZero =
(newSize - oldSize) * sizeof(inlineStorage_[0]);
memset(&inlineStorage_[oldSize], 0, bytesToZero);
memset(
&inlineStorage_[C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE + oldSize],
0,
bytesToZero);
}
size_ = newSize;
} else {
resizeSlowPath(newSize, oldSize);
}
}
void resizeSlowPath(size_t newSize, size_t oldSize);
private:
bool isInline() const noexcept {
return size_ <= C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE;
}
void copyDataInline(const SizesAndStrides& rhs) {
TORCH_INTERNAL_ASSERT_DEBUG_ONLY(rhs.isInline());
memcpy(inlineStorage_, rhs.inlineStorage_, sizeof(inlineStorage_));
}
static size_t storageBytes(size_t size) noexcept {
return size * 2 * sizeof(int64_t);
}
void allocateOutOfLineStorage(size_t size) {
outOfLineStorage_ = static_cast<int64_t*>(malloc(storageBytes(size)));
TORCH_CHECK(
outOfLineStorage_,
"Could not allocate memory for Tensor SizesAndStrides!");
}
void resizeOutOfLineStorage(size_t newSize) {
TORCH_INTERNAL_ASSERT_DEBUG_ONLY(!isInline());
outOfLineStorage_ = static_cast<int64_t*>(
realloc(outOfLineStorage_, storageBytes(newSize)));
TORCH_CHECK(
outOfLineStorage_,
"Could not allocate memory for Tensor SizesAndStrides!");
}
void copyDataOutline(const SizesAndStrides& rhs) noexcept {
memcpy(outOfLineStorage_, rhs.outOfLineStorage_, storageBytes(rhs.size_));
}
size_t size_;
union {
int64_t* outOfLineStorage_;
int64_t inlineStorage_[C10_SIZES_AND_STRIDES_MAX_INLINE_SIZE * 2]{};
};
};
} // namespace impl
} // namespace c10
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