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| 1 | +// SPDX-License-Identifier: Apache-2.0 |
| 2 | +// SPDX-FileCopyrightText: Copyright the Vortex contributors |
| 3 | + |
| 4 | +use std::ops::Range; |
| 5 | + |
| 6 | +use vortex_buffer::Buffer; |
| 7 | +use vortex_buffer::BufferMut; |
| 8 | +use vortex_error::VortexResult; |
| 9 | +use vortex_error::vortex_ensure; |
| 10 | + |
| 11 | +use crate::ArrayRef; |
| 12 | +use crate::Canonical; |
| 13 | +use crate::DynArray; |
| 14 | +use crate::ExecutionCtx; |
| 15 | +use crate::arrays::patched::PatchAccessor; |
| 16 | +use crate::arrays::patched::TransposedPatches; |
| 17 | +use crate::arrays::patched::patch_lanes; |
| 18 | +use crate::buffer::BufferHandle; |
| 19 | +use crate::dtype::IntegerPType; |
| 20 | +use crate::dtype::NativePType; |
| 21 | +use crate::dtype::PType; |
| 22 | +use crate::match_each_native_ptype; |
| 23 | +use crate::match_each_unsigned_integer_ptype; |
| 24 | +use crate::patches::Patches; |
| 25 | +use crate::stats::ArrayStats; |
| 26 | + |
| 27 | +/// An array that partially "patches" another array with new values. |
| 28 | +/// |
| 29 | +/// Patched arrays implement the set of nodes that do this instead here...I think? |
| 30 | +#[derive(Debug, Clone)] |
| 31 | +pub struct PatchedArray { |
| 32 | + /// The inner array that is being patched. This is the zeroth child. |
| 33 | + pub(super) inner: ArrayRef, |
| 34 | + |
| 35 | + /// Number of 1024-element chunks. Pre-computed for convenience. |
| 36 | + pub(super) n_chunks: usize, |
| 37 | + |
| 38 | + /// Number of lanes the patch indices and values have been split into. Each of the `n_chunks` |
| 39 | + /// of 1024 values is split into `n_lanes` lanes horizontally, each lane having 1024 / n_lanes |
| 40 | + /// values that might be patched. |
| 41 | + pub(super) n_lanes: usize, |
| 42 | + |
| 43 | + /// Offset into the first chunk |
| 44 | + pub(super) offset: usize, |
| 45 | + /// Total length. |
| 46 | + pub(super) len: usize, |
| 47 | + |
| 48 | + /// lane offsets. The PType of these MUST be u32 |
| 49 | + pub(super) lane_offsets: BufferHandle, |
| 50 | + /// indices within a 1024-element chunk. The PType of these MUST be u16 |
| 51 | + pub(super) indices: BufferHandle, |
| 52 | + /// patch values corresponding to the indices. The ptype is specified by `values_ptype`. |
| 53 | + pub(super) values: BufferHandle, |
| 54 | + /// PType of the scalars in `values`. Can be any native type. |
| 55 | + pub(super) values_ptype: PType, |
| 56 | + |
| 57 | + pub(super) stats_set: ArrayStats, |
| 58 | +} |
| 59 | + |
| 60 | +impl PatchedArray { |
| 61 | + pub fn from_array_and_patches( |
| 62 | + inner: ArrayRef, |
| 63 | + patches: &Patches, |
| 64 | + ctx: &mut ExecutionCtx, |
| 65 | + ) -> VortexResult<Self> { |
| 66 | + vortex_ensure!( |
| 67 | + inner.dtype().eq_with_nullability_superset(patches.dtype()), |
| 68 | + "array DType must match patches DType" |
| 69 | + ); |
| 70 | + |
| 71 | + let values_ptype = patches.dtype().as_ptype(); |
| 72 | + |
| 73 | + let TransposedPatches { |
| 74 | + n_chunks, |
| 75 | + n_lanes, |
| 76 | + lane_offsets, |
| 77 | + indices, |
| 78 | + values, |
| 79 | + } = transpose_patches(patches, ctx)?; |
| 80 | + |
| 81 | + let len = inner.len(); |
| 82 | + |
| 83 | + Ok(Self { |
| 84 | + inner, |
| 85 | + n_chunks, |
| 86 | + n_lanes, |
| 87 | + values_ptype, |
| 88 | + offset: 0, |
| 89 | + len, |
| 90 | + lane_offsets: BufferHandle::new_host(lane_offsets), |
| 91 | + indices: BufferHandle::new_host(indices), |
| 92 | + values: BufferHandle::new_host(values), |
| 93 | + stats_set: ArrayStats::default(), |
| 94 | + }) |
| 95 | + } |
| 96 | + |
| 97 | + /// Get an accessor, which allows ranged access to patches by chunk/lane. |
| 98 | + pub fn accessor<V: NativePType>(&self) -> PatchAccessor<'_, V> { |
| 99 | + PatchAccessor { |
| 100 | + n_lanes: self.n_lanes, |
| 101 | + lane_offsets: self.lane_offsets.as_host().reinterpret::<u32>(), |
| 102 | + indices: self.indices.as_host().reinterpret::<u16>(), |
| 103 | + values: self.values.as_host().reinterpret::<V>(), |
| 104 | + } |
| 105 | + } |
| 106 | + |
| 107 | + /// Slice the array to just the patches and inner values that are within the chunk range. |
| 108 | + pub(crate) fn slice_chunks(&self, chunks: Range<usize>) -> VortexResult<Self> { |
| 109 | + let lane_offsets_start = chunks.start * self.n_lanes; |
| 110 | + let lane_offsets_stop = chunks.end * self.n_lanes + 1; |
| 111 | + |
| 112 | + let sliced_lane_offsets = self |
| 113 | + .lane_offsets |
| 114 | + .slice_typed::<u32>(lane_offsets_start..lane_offsets_stop); |
| 115 | + let indices = self.indices.clone(); |
| 116 | + let values = self.values.clone(); |
| 117 | + |
| 118 | + let begin = (chunks.start * 1024).max(self.offset); |
| 119 | + let end = (chunks.end * 1024).min(self.len); |
| 120 | + |
| 121 | + let offset = begin % 1024; |
| 122 | + |
| 123 | + let inner = self.inner.slice(begin..end)?; |
| 124 | + |
| 125 | + let len = end - begin; |
| 126 | + let n_chunks = (end - begin).div_ceil(1024); |
| 127 | + |
| 128 | + Ok(PatchedArray { |
| 129 | + inner, |
| 130 | + n_chunks, |
| 131 | + n_lanes: self.n_lanes, |
| 132 | + offset, |
| 133 | + len, |
| 134 | + indices, |
| 135 | + values, |
| 136 | + values_ptype: self.values_ptype, |
| 137 | + lane_offsets: sliced_lane_offsets, |
| 138 | + stats_set: ArrayStats::default(), |
| 139 | + }) |
| 140 | + } |
| 141 | +} |
| 142 | + |
| 143 | +/// Transpose a set of patches from the default sorted layout into the data parallel layout. |
| 144 | +#[allow(clippy::cognitive_complexity)] |
| 145 | +fn transpose_patches(patches: &Patches, ctx: &mut ExecutionCtx) -> VortexResult<TransposedPatches> { |
| 146 | + let array_len = patches.array_len(); |
| 147 | + let offset = patches.offset(); |
| 148 | + |
| 149 | + let indices = patches |
| 150 | + .indices() |
| 151 | + .clone() |
| 152 | + .execute::<Canonical>(ctx)? |
| 153 | + .into_primitive(); |
| 154 | + |
| 155 | + let values = patches |
| 156 | + .values() |
| 157 | + .clone() |
| 158 | + .execute::<Canonical>(ctx)? |
| 159 | + .into_primitive(); |
| 160 | + |
| 161 | + let indices_ptype = indices.ptype(); |
| 162 | + let values_ptype = values.ptype(); |
| 163 | + |
| 164 | + let indices = indices.buffer_handle().clone().unwrap_host(); |
| 165 | + let values = values.buffer_handle().clone().unwrap_host(); |
| 166 | + |
| 167 | + match_each_unsigned_integer_ptype!(indices_ptype, |I| { |
| 168 | + match_each_native_ptype!(values_ptype, |V| { |
| 169 | + let indices: Buffer<I> = Buffer::from_byte_buffer(indices); |
| 170 | + let values: Buffer<V> = Buffer::from_byte_buffer(values); |
| 171 | + |
| 172 | + Ok(transpose( |
| 173 | + indices.as_slice(), |
| 174 | + values.as_slice(), |
| 175 | + offset, |
| 176 | + array_len, |
| 177 | + )) |
| 178 | + }) |
| 179 | + }) |
| 180 | +} |
| 181 | + |
| 182 | +#[allow(clippy::cast_possible_truncation)] |
| 183 | +fn transpose<I: IntegerPType, V: NativePType>( |
| 184 | + indices_in: &[I], |
| 185 | + values_in: &[V], |
| 186 | + offset: usize, |
| 187 | + array_len: usize, |
| 188 | +) -> TransposedPatches { |
| 189 | + // Total number of slots is number of chunks times number of lanes. |
| 190 | + let n_chunks = array_len.div_ceil(1024); |
| 191 | + assert!( |
| 192 | + n_chunks <= u32::MAX as usize, |
| 193 | + "Cannot transpose patches for array with >= 4 trillion elements" |
| 194 | + ); |
| 195 | + |
| 196 | + let n_lanes = patch_lanes::<V>(); |
| 197 | + |
| 198 | + // We know upfront how many indices and values we'll have. |
| 199 | + let mut indices_buffer = BufferMut::with_capacity(indices_in.len()); |
| 200 | + let mut values_buffer = BufferMut::with_capacity(values_in.len()); |
| 201 | + |
| 202 | + // number of patches in each chunk. |
| 203 | + let mut lane_offsets: BufferMut<u32> = BufferMut::zeroed(n_chunks * n_lanes + 1); |
| 204 | + |
| 205 | + // Scan the index/values once to get chunk/lane counts |
| 206 | + for index in indices_in { |
| 207 | + let index = index.as_() - offset; |
| 208 | + let chunk = index / 1024; |
| 209 | + let lane = index % n_lanes; |
| 210 | + |
| 211 | + lane_offsets[chunk * n_lanes + lane + 1] += 1; |
| 212 | + } |
| 213 | + |
| 214 | + // Prefix-sum sizes -> offsets |
| 215 | + for index in 1..lane_offsets.len() { |
| 216 | + lane_offsets[index] += lane_offsets[index - 1]; |
| 217 | + } |
| 218 | + |
| 219 | + // Loop over patches, writing thme to final positions |
| 220 | + let indices_out = indices_buffer.spare_capacity_mut(); |
| 221 | + let values_out = values_buffer.spare_capacity_mut(); |
| 222 | + for (index, &value) in std::iter::zip(indices_in, values_in) { |
| 223 | + let index = index.as_() - offset; |
| 224 | + let chunk = index / 1024; |
| 225 | + let lane = index % n_lanes; |
| 226 | + |
| 227 | + let position = &mut lane_offsets[chunk * n_lanes + lane]; |
| 228 | + indices_out[*position as usize].write((index % 1024) as u16); |
| 229 | + values_out[*position as usize].write(value); |
| 230 | + *position += 1; |
| 231 | + } |
| 232 | + |
| 233 | + // SAFETY: we know there are exactly indices_in.len() indices/values, and we just |
| 234 | + // set them to the appropriate values in the loop above. |
| 235 | + unsafe { |
| 236 | + indices_buffer.set_len(indices_in.len()); |
| 237 | + values_buffer.set_len(values_in.len()); |
| 238 | + } |
| 239 | + |
| 240 | + // Now, pass over all the indices and values again and subtract out the position increments. |
| 241 | + for index in indices_in { |
| 242 | + let index = index.as_() - offset; |
| 243 | + let chunk = index / 1024; |
| 244 | + let lane = index % n_lanes; |
| 245 | + |
| 246 | + lane_offsets[chunk * n_lanes + lane] -= 1; |
| 247 | + } |
| 248 | + |
| 249 | + TransposedPatches { |
| 250 | + n_chunks, |
| 251 | + n_lanes, |
| 252 | + lane_offsets: lane_offsets.freeze().into_byte_buffer(), |
| 253 | + indices: indices_buffer.freeze().into_byte_buffer(), |
| 254 | + values: values_buffer.freeze().into_byte_buffer(), |
| 255 | + } |
| 256 | +} |
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