1use std::collections::HashMap;
12
13use crate::Error;
14use crate::circuit::{Circuit, OpKind, OutOfRange, resolve_index_position};
15use crate::gather::{GatherPlan, plan_gather_lowering};
16use crate::numeric::{evaluate_boolean, relu32};
17use crate::wire::Wire;
18
19#[derive(Clone, Debug)]
20pub struct IndexReadRow {
21 pub row: u32,
22 pub index_row: u32,
23 pub below_zero: bool,
24 pub above_zero: bool,
25 pub candidate_positions: Vec<u32>,
27}
28
29#[derive(Clone, Debug)]
33pub struct GatherCompute {
34 pub slot: u32,
35 pub bit_positions: Vec<u32>,
37}
38
39#[derive(Clone, Debug)]
42pub struct GatherRead {
43 pub row: u32,
44 pub slot: u32,
45 pub masked: bool,
46 pub candidate_positions: Vec<u32>,
47}
48
49#[derive(Clone, Debug, Copy)]
50pub struct CompileOptions {
51 pub lower_gathers: bool,
53 pub recompute_depths: bool,
56}
57
58impl Default for CompileOptions {
59 fn default() -> CompileOptions {
60 CompileOptions { lower_gathers: true, recompute_depths: false }
61 }
62}
63
64#[derive(Clone, Debug)]
65pub struct TensorLayer {
66 pub input_indices: Vec<u32>,
68 pub output_size: usize,
69 pub bias: Vec<f32>,
71 pub row_offsets: Vec<u32>,
73 pub columns: Vec<u32>,
74 pub weights: Vec<f32>,
75 pub gate_rows: Vec<u32>,
77 pub boolean_rows: Vec<u32>,
78 pub gather_computes: Vec<GatherCompute>,
79 pub gather_reads: Vec<GatherRead>,
80 pub index_reads: Vec<IndexReadRow>,
81}
82
83#[derive(Clone, Debug)]
84pub struct TensorProgram {
85 pub layers: Vec<TensorLayer>,
86 pub roots: Vec<Wire>,
87 pub source_size: usize,
88 pub value_count: usize,
90 pub wire_order: Vec<Wire>,
92 pub width: usize,
94 pub gather_slot_count: usize,
96}
97
98impl TensorProgram {
99 pub fn stored_weight_count(&self) -> usize {
100 self.layers.iter().map(|layer| layer.weights.len()).sum()
101 }
102
103 pub fn live_operation_count(&self) -> usize {
104 self.value_count - self.source_size
105 }
106
107 pub fn gather_read_count(&self) -> usize {
108 self.layers.iter().map(|layer| layer.gather_reads.len()).sum()
109 }
110}
111
112impl Circuit {
113 pub fn compile(&self, roots: Option<&[Wire]>) -> TensorProgram {
116 self.compile_with(roots, CompileOptions::default())
117 }
118
119 pub fn compile_with(&self, roots: Option<&[Wire]>, options: CompileOptions) -> TensorProgram {
120 let width = self.width();
121 let source_size = self.source_size();
122 let roots: Vec<Wire> = match roots {
123 Some(roots) => roots.to_vec(),
124 None => (source_size..width).map(Wire::from_index).collect(),
125 };
126 let plans = if options.lower_gathers { plan_gather_lowering(self) } else { HashMap::new() };
127 let live = self.find_live_operations(&roots, &plans);
128 let compiled_depths = options.recompute_depths.then(|| self.compute_compiled_depths(&live, &plans));
129 let mut operations_by_layer: Vec<Vec<usize>> = Vec::new();
130 for (operation_index, operation) in self.operations.iter().enumerate() {
131 if !live[operation_index] {
132 continue;
133 }
134 let depth = compiled_depths.as_ref().map_or(operation.depth, |depths| depths[operation_index]);
135 let layer = depth as usize - 1;
136 if operations_by_layer.len() <= layer {
137 operations_by_layer.resize(layer + 1, Vec::new());
138 }
139 operations_by_layer[layer].push(operation_index);
140 }
141
142 let live_count = live.iter().filter(|&&is_live| is_live).count();
143 let value_count = source_size + live_count;
144 let mut wire_order: Vec<Wire> = (0..source_size).map(Wire::from_index).collect();
145 let mut packed_by_wire = vec![u32::MAX; width];
146 for (wire, packed) in packed_by_wire.iter_mut().enumerate().take(source_size) {
147 *packed = wire as u32;
148 }
149 let mut column_by_wire = vec![u32::MAX; width];
151 let mut available = source_size;
152 let mut layers = Vec::new();
153 let mut slot_by_group: HashMap<usize, u32> = HashMap::new();
154 for operation_indices in operations_by_layer.iter().filter(|indices| !indices.is_empty()) {
155 let output_size = operation_indices.len();
156 let mut input_wires: Vec<Wire> = Vec::new();
157 for &operation_index in operation_indices {
158 if plans.contains_key(&operation_index) {
160 continue;
161 }
162 let operation = &self.operations[operation_index];
163 for &(wire, _) in operation.left_terms.iter().chain(&operation.gate_terms) {
164 if column_by_wire[wire.index()] == u32::MAX {
165 column_by_wire[wire.index()] = 0;
166 input_wires.push(wire);
167 }
168 }
169 }
170 input_wires.sort_by_key(|wire| packed_by_wire[wire.index()]);
171 for (column, wire) in input_wires.iter().enumerate() {
172 column_by_wire[wire.index()] = column as u32;
173 }
174 let gate_count =
175 operation_indices.iter().filter(|&&index| self.operations[index].kind == OpKind::Reglu).count();
176 let index_count =
177 operation_indices.iter().filter(|&&index| self.operations[index].kind == OpKind::Index).count();
178 let projection_size = output_size + gate_count + index_count;
179 let mut bias = vec![0f32; projection_size];
180 let mut projection_terms: Vec<&[(Wire, f64)]> = vec![&[]; projection_size];
181 let mut gate_rows = Vec::new();
182 let mut boolean_rows = Vec::new();
183 let mut pending_gather_reads = Vec::new();
184 let mut pending_index_reads = Vec::new();
185 let (mut gate_row, mut index_row) = (0, 0);
186 for (row, &operation_index) in operation_indices.iter().enumerate() {
187 let operation = &self.operations[operation_index];
188 let output_wire = source_size + operation_index;
189 wire_order.push(Wire::from_index(output_wire));
190 packed_by_wire[output_wire] = (available + row) as u32;
191 bias[row] = operation.left_bias as f32;
192 if let Some(plan) = plans.get(&operation_index) {
193 pending_gather_reads.push((row, plan));
195 continue;
196 }
197 projection_terms[row] = &operation.left_terms;
198 match operation.kind {
199 OpKind::Reglu => {
200 let projection_row = output_size + gate_row;
201 bias[projection_row] = operation.gate_bias as f32;
202 projection_terms[projection_row] = &operation.gate_terms;
203 gate_rows.push(row as u32);
204 gate_row += 1;
205 }
206 OpKind::Boolean => boolean_rows.push(row as u32),
207 OpKind::Index => {
208 let projection_row = output_size + gate_count + index_row;
209 bias[projection_row] = operation.gate_bias as f32;
210 projection_terms[projection_row] = &operation.gate_terms;
211 pending_index_reads.push((row, projection_row, operation.index_read.as_ref().unwrap()));
212 index_row += 1;
213 }
214 OpKind::Affine => {}
215 }
216 }
217 let mut gather_computes = Vec::new();
218 let mut gather_reads = Vec::new();
219 for (row, plan) in pending_gather_reads {
220 let group = &self.one_hot_groups[plan.group];
221 let packed = |wire: Wire| {
222 let position = packed_by_wire[wire.index()];
223 assert!((position as usize) < available, "a gather's bit or candidate is not available");
224 position
225 };
226 let next_slot = slot_by_group.len() as u32;
227 let slot = *slot_by_group.entry(plan.group).or_insert_with(|| {
228 gather_computes.push(GatherCompute {
230 slot: next_slot,
231 bit_positions: group.members.iter().map(|&m| packed(m)).collect(),
232 });
233 next_slot
234 });
235 gather_reads.push(GatherRead {
236 row: row as u32,
237 slot,
238 masked: group.allow_all_zero,
239 candidate_positions: plan.candidates.iter().map(|&candidate| packed(candidate)).collect(),
240 });
241 }
242 let index_reads = pending_index_reads
243 .into_iter()
244 .map(|(row, index_row, read)| IndexReadRow {
245 row: row as u32,
246 index_row: index_row as u32,
247 below_zero: read.below == OutOfRange::Zero,
248 above_zero: read.above == OutOfRange::Zero,
249 candidate_positions: self.tables[read.table]
250 .candidates
251 .iter()
252 .map(|candidate| {
253 let position = packed_by_wire[candidate.index()];
254 assert!((position as usize) < available, "index read candidate is not available");
255 position
256 })
257 .collect(),
258 })
259 .collect();
260 let mut row_offsets = Vec::with_capacity(projection_size + 1);
261 let mut columns = Vec::new();
262 let mut weights = Vec::new();
263 row_offsets.push(0);
264 for terms in &projection_terms {
265 for &(wire, coefficient) in terms.iter() {
266 let column = column_by_wire[wire.index()];
267 assert!(column != u32::MAX, "tensor dependency is not available");
268 columns.push(column);
269 weights.push(coefficient as f32);
270 }
271 row_offsets.push(columns.len() as u32);
272 }
273 for wire in &input_wires {
274 column_by_wire[wire.index()] = u32::MAX;
275 }
276 layers.push(TensorLayer {
277 input_indices: input_wires.iter().map(|wire| packed_by_wire[wire.index()]).collect(),
278 output_size,
279 bias,
280 row_offsets,
281 columns,
282 weights,
283 gate_rows,
284 boolean_rows,
285 gather_computes,
286 gather_reads,
287 index_reads,
288 });
289 available += output_size;
290 }
291 TensorProgram {
292 layers,
293 roots,
294 source_size,
295 value_count,
296 wire_order,
297 width,
298 gather_slot_count: slot_by_group.len(),
299 }
300 }
301
302 fn compute_compiled_depths(&self, live: &[bool], plans: &HashMap<usize, GatherPlan>) -> Vec<u32> {
305 let source_size = self.source_size();
306 let mut depths = vec![0u32; self.operations.len()];
307 let mut table_depths: HashMap<usize, u32> = HashMap::new();
308 for (operation_index, operation) in self.operations.iter().enumerate() {
309 if !live[operation_index] {
310 continue;
311 }
312 let depth_of = |wire: Wire| wire.index().checked_sub(source_size).map_or(0, |index| depths[index]);
313 let depth = match plans.get(&operation_index) {
314 Some(plan) => self.one_hot_groups[plan.group]
315 .members
316 .iter()
317 .chain(&plan.candidates)
318 .map(|&wire| depth_of(wire))
319 .max()
320 .unwrap_or(0),
321 None => {
322 let mut depth = operation
323 .left_terms
324 .iter()
325 .chain(&operation.gate_terms)
326 .map(|&(wire, _)| depth_of(wire))
327 .max()
328 .unwrap_or(0);
329 if let Some(read) = &operation.index_read {
330 let table_depth = match table_depths.get(&read.table) {
331 Some(&table_depth) => table_depth,
332 None => {
333 let table_depth = self.tables[read.table]
334 .candidates
335 .iter()
336 .map(|&candidate| depth_of(candidate))
337 .max()
338 .unwrap_or(0);
339 table_depths.insert(read.table, table_depth);
340 table_depth
341 }
342 };
343 depth = depth.max(table_depth);
344 }
345 depth
346 }
347 };
348 depths[operation_index] = depth + 1;
349 }
350 depths
351 }
352
353 fn find_live_operations(&self, roots: &[Wire], plans: &HashMap<usize, GatherPlan>) -> Vec<bool> {
354 let source_size = self.source_size();
355 let mut live = vec![false; self.operations.len()];
356 let mut visited_tables = vec![false; self.tables.len()];
357 let mut pending = roots.to_vec();
358 while let Some(wire) = pending.pop() {
359 self.assert_wire(wire);
360 let Some(operation_index) = wire.index().checked_sub(source_size) else { continue };
361 if live[operation_index] {
362 continue;
363 }
364 live[operation_index] = true;
365 if let Some(plan) = plans.get(&operation_index) {
366 pending.extend(&self.one_hot_groups[plan.group].members);
368 pending.extend(&plan.candidates);
369 continue;
370 }
371 let operation = &self.operations[operation_index];
372 pending.extend(operation.left_terms.iter().chain(&operation.gate_terms).map(|&(wire, _)| wire));
373 if let Some(read) = &operation.index_read
374 && !visited_tables[read.table]
375 {
376 visited_tables[read.table] = true;
377 pending.extend(&self.tables[read.table].candidates);
378 }
379 }
380 live
381 }
382
383 pub fn evaluate_tensor(&self, source: &[f32], program: &TensorProgram) -> Result<Vec<f32>, Error> {
385 self.validate_source_ranges(source)?;
386 let mut executor = TensorExecutor::new(program);
387 executor.run(source);
388 let mut values = vec![0f32; program.width];
389 for (packed, wire) in program.wire_order.iter().enumerate() {
390 values[wire.index()] = executor.packed_values[packed];
391 }
392 Ok(values)
393 }
394
395 pub fn validate_tensor_evaluation(
398 &self,
399 source: &[f32],
400 program: &TensorProgram,
401 tensor_values: &[f32],
402 ) -> Result<(), String> {
403 let expected = self.evaluate_unchecked(source);
404 for wire in &program.wire_order {
405 let (got, want) = (tensor_values[wire.index()], expected[wire.index()]);
406 if got != want {
407 return Err(format!("tensor wire {} is {got}, the reference evaluator gives {want}", wire.index()));
408 }
409 }
410 Ok(())
411 }
412}
413
414pub struct TensorExecutor<'program> {
416 program: &'program TensorProgram,
417 pub packed_values: Vec<f32>,
419 input: Vec<f32>,
420 projection: Vec<f32>,
421 gather_indices: Vec<i32>,
422 gather_masses: Vec<f32>,
423 root_positions: Vec<usize>,
424 outputs: Vec<f32>,
425}
426
427impl<'program> TensorExecutor<'program> {
428 pub fn new(program: &'program TensorProgram) -> TensorExecutor<'program> {
429 let max_input = program.layers.iter().map(|layer| layer.input_indices.len()).max().unwrap_or(0);
430 let max_projection = program.layers.iter().map(|layer| layer.bias.len()).max().unwrap_or(0);
431 let root_positions = program
432 .roots
433 .iter()
434 .map(|root| program.wire_order.iter().position(|wire| wire == root).expect("root was removed"))
435 .collect();
436 TensorExecutor {
437 program,
438 packed_values: vec![0.0; program.value_count],
439 input: vec![0.0; max_input],
440 projection: vec![0.0; max_projection],
441 gather_indices: vec![0; program.gather_slot_count],
442 gather_masses: vec![0.0; program.gather_slot_count],
443 root_positions,
444 outputs: vec![0.0; program.roots.len()],
445 }
446 }
447
448 pub fn run(&mut self, source: &[f32]) -> &[f32] {
451 let program = self.program;
452 assert_eq!(source.len(), program.source_size, "source table has the wrong length");
453 let values = &mut self.packed_values;
454 values[..source.len()].copy_from_slice(source);
455 let mut available = source.len();
456 for layer in &program.layers {
457 for (column, &packed) in layer.input_indices.iter().enumerate() {
458 self.input[column] = values[packed as usize];
459 }
460 let projection = &mut self.projection[..layer.bias.len()];
461 for (row, output) in projection.iter_mut().enumerate() {
462 let mut value = layer.bias[row];
463 for entry in layer.row_offsets[row] as usize..layer.row_offsets[row + 1] as usize {
464 value += layer.weights[entry] * self.input[layer.columns[entry] as usize];
465 }
466 *output = value;
467 }
468 for compute in &layer.gather_computes {
469 let (index, mass) = resolve_gather(compute.bit_positions.iter().map(|&bit| values[bit as usize]));
470 self.gather_indices[compute.slot as usize] = index;
471 self.gather_masses[compute.slot as usize] = mass;
472 }
473 for read in &layer.gather_reads {
474 let slot = read.slot as usize;
475 let contribution = gathered(values, read, self.gather_indices[slot], self.gather_masses[slot]);
476 projection[read.row as usize] += contribution;
477 }
478 for read in &layer.index_reads {
479 let index = projection[read.index_row as usize] as f64;
480 let below = if read.below_zero { OutOfRange::Zero } else { OutOfRange::Clamp };
481 let above = if read.above_zero { OutOfRange::Zero } else { OutOfRange::Clamp };
482 projection[read.row as usize] =
483 match resolve_index_position(index, read.candidate_positions.len(), below, above) {
484 -2 => f32::NAN,
485 -1 => 0.0,
486 position => values[read.candidate_positions[position as usize] as usize],
487 };
488 }
489 for (gate, &row) in layer.gate_rows.iter().enumerate() {
490 let gate_value = relu32(projection[layer.output_size + gate]);
491 projection[row as usize] *= gate_value;
492 }
493 for &row in &layer.boolean_rows {
494 projection[row as usize] = evaluate_boolean(projection[row as usize]);
495 }
496 values[available..available + layer.output_size].copy_from_slice(&projection[..layer.output_size]);
497 available += layer.output_size;
498 }
499 for (output, &position) in self.outputs.iter_mut().zip(&self.root_positions) {
500 *output = values[position];
501 }
502 &self.outputs
503 }
504}
505
506pub(crate) fn resolve_gather(bits: impl Iterator<Item = f32>) -> (i32, f32) {
508 let (mut index, mut mass) = (0f64, 0f64);
509 for (position, bit) in bits.enumerate() {
510 index += position as f64 * bit as f64;
511 mass += bit as f64;
512 }
513 (index as i32, mass as f32)
514}
515
516pub(crate) fn gathered(values: &[f32], read: &GatherRead, index: i32, mass: f32) -> f32 {
519 let index = index.clamp(0, read.candidate_positions.len() as i32 - 1) as usize;
520 let candidate = values[read.candidate_positions[index] as usize];
521 if read.masked { mass * candidate } else { candidate }
522}