| #pragma once |
| #include <ATen/native/TensorIterator.h> |
| #include <c10/util/irange.h> |
| |
| namespace at { |
| namespace native { |
| |
| namespace { |
| static bool is_constant_index(int ntensor, const int64_t* strides) { |
| AT_ASSERT(ntensor >= 3); |
| for (const auto arg : c10::irange(2, ntensor)) { |
| if (strides[arg] != 0) { |
| return false; |
| } |
| } |
| return true; |
| } |
| |
| |
| struct Indexer { |
| Indexer(int64_t num_indexers, char** indexers, const int64_t* indexer_strides, |
| IntArrayRef original_sizes, IntArrayRef original_strides) |
| : num_indexers(num_indexers) |
| , indexers(indexers) |
| , indexer_strides(indexer_strides) |
| , original_strides(original_strides.data()) |
| , original_sizes(original_sizes.data()) { |
| AT_ASSERT(static_cast<int64_t>(original_strides.size()) == num_indexers); |
| AT_ASSERT(static_cast<int64_t>(original_sizes.size()) == num_indexers); |
| } |
| |
| int64_t num_indexers; |
| char** indexers; |
| const int64_t* indexer_strides; |
| const int64_t* original_strides; |
| const int64_t* original_sizes; |
| |
| int64_t get(int64_t idx) { |
| int64_t offset = 0; |
| for (const auto j : c10::irange(num_indexers)) { |
| int64_t value = *(int64_t*)&indexers[j][idx * indexer_strides[j]]; |
| int64_t size = original_sizes[j]; |
| TORCH_CHECK_INDEX(value >= -size && value < size, |
| "index ", value, " is out of bounds for dimension ", j, " with size ", size); |
| if (value < 0) { |
| value += size; |
| } |
| offset += value * original_strides[j]; |
| } |
| return offset; |
| } |
| }; |
| } // anonymous namespace |
| |
| template <typename scalar_t, typename func_t> |
| void cpu_index_kernel(TensorIteratorBase& iter, IntArrayRef index_size, IntArrayRef index_stride, |
| const func_t& f, bool serial_execution=false) |
| { |
| int ntensor = iter.ntensors(); |
| // When launch the index parallel version, set a relative small grain size less than the INTERNAL::GRAIN_SIZE |
| // to make the whole available thread numbers get more balanced work load and a better cache location. |
| // The grain size here is chosen by the op benchmark to overcome the thread launch overhead |
| const int index_parallel_grain_size = 3000; |
| auto loop = [&](char** data, const int64_t* strides, int64_t n) { |
| auto indexer = Indexer(ntensor - 2, &data[2], &strides[2], index_size, index_stride); |
| char* dst = data[0]; |
| char* src = data[1]; |
| if (is_constant_index(ntensor, strides)) { |
| // specialization for when every element uses the same index |
| int64_t offset = indexer.get(0); |
| for (const auto i : c10::irange(n)) { |
| f(dst + strides[0] * i, src + strides[1] * i, offset); |
| } |
| } else { |
| for (const auto i : c10::irange(n)) { |
| int64_t offset = indexer.get(i); |
| f(dst + strides[0] * i, src + strides[1] * i, offset); |
| } |
| } |
| }; |
| if (serial_execution) { |
| iter.serial_for_each(loop, {0, iter.numel()}); |
| } else { |
| iter.for_each(loop, index_parallel_grain_size); |
| } |
| } |
| } // at |
| } // native |