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# CONTINUE.md: PAD with Invalid instead of 0
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## Goal
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Make the low-level `Ops.PAD` pad with `Invalid` instead of `0`, while keeping
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the external `Tensor.pad` behavior unchanged.
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## Changes made (all 3 files are modified, see `git diff`)
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### 1. `tinygrad/schedule/indexing.py:92` — core change
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`convert_pad_to_where_to_keep_behavior_local` now uses `UOp.const(x.dtype, Invalid)`
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instead of `UOp.const(x.dtype, 0)` as the else value. This is what makes `Ops.PAD`
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pad with Invalid.
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### 2. `tinygrad/uop/symbolic.py:87-99` — Invalid propagation rules
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Added two new rules to `pm_data_invalid` so that `where(invalid_gate, a, const_b)`
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uses `b` (the const) in don't-care positions instead of poisoning to Invalid.
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This is needed so that `_pad_constant`'s mask `where(pad(ones_bool), base, value)`
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works — the mask is a `where(valid, True, Invalid)` gate, and the else `value`
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is a const.
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The rules are restricted to only match when the gate's valid value is a **const**
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(`UPat.cvar("x")`), to distinguish pad masks (where valid=True, a const) from
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gather masks (where valid=loaded_data, not a const). Without this restriction,
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`test_tensor_index` breaks because gather masks also create `where(cond, x, Invalid)`
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but need to keep poisoning.
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### 3. `tinygrad/mixin/op.py:280-289` — `_pad_constant` fix
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Swapped the `value == 0` early return for `value is Invalid` early return.
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When `value is Invalid`, just return `base` (which already has Invalid from
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`Ops.PAD`). For all other values (including 0), use the mask approach:
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`where(pad(ones_bool), base, const_value)`.
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## Current state
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- `test/unit/test_invalid_tensor.py` — **all 22 pass**
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- `test/unit/test_function.py` — **5 failures**, all multi-shard tests
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## The remaining bug: `cat` + multi-shard
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`cat` (op.py:716) uses `pad` + `usum` (element-wise ADD) to combine tensors:
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```python
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padded = [t.pad(...) for i,t in enumerate(tensors)]
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return padded[0].usum(*padded[1:])
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```
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When two shards are cat'd, each is padded and then summed. The valid masks
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are **complementary** (shard 0 valid in positions 0-1, shard 1 valid in 2-3).
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`_pad_constant` creates `where(mask_pad, data_pad, 0)` where:
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- `mask_pad = where(valid, True, Invalid)` — gate's valid value is const `True`
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- `data_pad = where(valid, data, Invalid)` — gate's valid value is loaded `data` (NOT const)
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The new const-specific rule handles the mask pad correctly. But for the data pad,
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the gate's valid value (`data`) is not a const, so the **non-const** lift-out rule
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fires: `where(valid, where(valid, data, Invalid), 0)` → `where(valid, where(valid, data, 0), Invalid)`.
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The `Invalid` else poisons the ADD. The binary Invalid rule lifts both gates out:
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`where(c6, data0, Invalid) + where(c8, data1, Invalid)` → `where(c6&c8, data0+data1, Invalid)`.
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Since `c6` and `c8` are complementary, `c6&c8` is always False → result is all Invalid → 0.
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### Master comparison
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On master, `convert_pad_to_where` uses `0` (not Invalid), so the ADD is just
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`where(c6, data0, 0) + where(c8, data1, 0)` with no Invalid, no lifting, works fine.
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### Debug output (with changes)
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```
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c16 = c6.where(c11.index(c13), 0) # where(c6, load0, 0) — correct
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c22 = c6.where(0, c17.index(c20)) # where(c6, 0, load1) — correct
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c25 = (c6&c8).where((c16+c22), Invalid) # WRONG: c6&c8 always False → all Invalid
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```
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### Master debug output
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```
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c13 = c6.where(c8.index(c10), 0) # where(c6, load0, 0)
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c21 = c6.where(0, c14.index(c19)) # where(c6, 0, load1)
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c22 = c13+c21 # plain ADD, no wrapper — correct
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```
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## Suggested fix approaches
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### Option A: General WHERE simplification rule
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Add a rule: `where(a, where(a, x, _), c)` → `where(a, x, c)`.
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When the outer and inner conditions are the same UOp, the inner else is
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unreachable. This would simplify `where(valid, where(valid, data, Invalid), 0)`
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→ `where(valid, data, 0)` before the lift-out rule can fire.
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Check if this rule already exists in `symbolic.py` — it may need to be added
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before the lift-out rules.
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### Option B: Don't use Ops.PAD for data in `_pad_constant`
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When `value is not Invalid`, avoid creating `Ops.PAD` on the data. Use `cat`
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or `expand` to create the padded tensor directly, bypassing the Invalid
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propagation entirely.
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### Option C: Make the lift-out rule use the outer else value
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Change the non-const lift-out rule: when `where(a, where(cond, x, Invalid), c)`
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and `c` is a const, use `c` as the else instead of `Invalid`. This is what the
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const-specific rule does, but it needs to also handle non-const gate valid values.
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## Test commands
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```bash
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# invalid tensor tests (currently pass)
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python -m pytest test/unit/test_invalid_tensor.py -x -q -n12
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# function tests (5 multi-shard failures)
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python -m pytest test/unit/test_function.py -x -q -n12
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# the specific failing test
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python -m pytest test/unit/test_function.py::TestFunctionMulti::test_simple_multi_sharded -x -q
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# debug the failing case
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DEBUG=6 python -c "
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from tinygrad import Tensor
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a = Tensor([1,2,3,4]).shard(['CPU', 'CPU:1'], axis=0)
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print(a.numpy()) # should be [1,2,3,4], gets [0,0,0,0]
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"
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```
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## Lint/typecheck
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```bash
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python -m mypy tinygrad/
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python -m ruff check .
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```
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@@ -284,8 +284,8 @@ class OpMixin(ElementwiseMixin, ReduceMixin):
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X = self.shrink(tuple((-smin(pB,0),smin(pA+s,s)) for (pB,pA),s in zip(pX, self.shape))) if has_neg else self
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pads = tuple((smax(pB,0), smax(pA,0)) for pB,pA in pX) if has_neg else pX
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base = MovementMixin.pad(X, pads)
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if value == 0: return base
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if value is not Invalid: base = base.cast(least_upper_dtype(base.dtype, dtypes.from_py(value)))
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if value is Invalid: return base
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if value != 0: base = base.cast(least_upper_dtype(base.dtype, dtypes.from_py(value)))
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return MovementMixin.pad(X.const_like(1).cast(dtypes.bool), pads).where(base, base.const_like(value))
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def _pad_circular(self, pX:tuple[tuple[sint, sint], ...]) -> Self:
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@@ -1,7 +1,7 @@
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from typing import Iterator
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import functools, itertools
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from dataclasses import dataclass, field, replace
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from tinygrad.dtype import dtypes, AddrSpace
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from tinygrad.dtype import dtypes, AddrSpace, Invalid
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from tinygrad.uop.ops import PatternMatcher, UPat, Ops, UOp, resolve, GroupOp, graph_rewrite, sint, AxisType, profile_matches
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from tinygrad.uop.ops import consumer_map_from_toposort, gate_kernel_sink
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from tinygrad.uop.symbolic import symbolic, pm_simplify_valid, pm_drop_and_clauses
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@@ -89,7 +89,7 @@ def convert_pad_to_where_to_keep_behavior_local(ctx:IndexingContext, x:UOp):
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if x not in ctx.range_map: return None
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bx = create_bufferize_and_index_based_on_ranges(ctx, x)
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valid: UOp = UOp.const(dtypes.bool, True).uprod([r.get_valid() for r in ctx.range_map[x][0]])
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return valid.where(bx.src[0], UOp.const(x.dtype, 0))
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return valid.where(bx.src[0], UOp.const(x.dtype, Invalid))
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def convert_reduce_to_reduce_with_ranges(ctx:IndexingContext, x:UOp):
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if x.arg[1] == 0: return None
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@@ -85,12 +85,19 @@ pm_data_invalid = PatternMatcher([
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(UPat(GroupOp.Binary, src=(UPat.var("y"), invalid_gate), name="alu"), lambda cond,x,y,alu,i: cond.where(y.alu(alu.op,x), i.cast(alu.dtype))),
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(UPat(GroupOp.Binary-GroupOp.Comparison, src=[invalid_pat, UPat()]), lambda i: i),
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# an Invalid condition poisons the whole where; a gated Invalid condition lifts the gate out
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# when the gate's valid value is a const (e.g. a pad mask: where(valid, True, Invalid)),
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# use the else value in don't-care positions so masks work
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(invalid_pat.where(UPat.var("a"), UPat()), lambda i,a: i.cast(a.dtype)),
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(UPat.var("cond").where(UPat.cvar("x"), invalid_pat).where(UPat.var("a"), UPat.cvar("b")),
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lambda cond,x,i,a,b: cond.where(x.where(a,b), b)),
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(invalid_gate.where(UPat.var("a"), UPat.var("b")), lambda cond,x,i,a,b: cond.where(x.where(a,b), i.cast(a.dtype))),
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# normalize where(cond, Invalid, val) -> where(~cond, val, Invalid)
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(UPat.var("cond").where(invalid_pat, UPat.var("val")), lambda cond, i, val: cond.logical_not().where(val, i) if val.arg != Invalid else i),
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# lift Invalid out: a.where(cond.where(x, Invalid), c) -> (~a|cond).where(a.where(x, c), Invalid)
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# when a is cond, ~a|cond is True and would drop the Invalid gate (losing the valid), so keep cond as the gate
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# when c is a const and the gate's valid value is a const (pad mask), use c in don't-care positions
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(UPat.var("a").where(UPat.var("cond").where(UPat.cvar("x"), invalid_pat), UPat.cvar("c")),
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lambda cond,i,x,a,c: (cond if a is cond else (a.logical_not()|cond)).where(a.where(x,c), c) if c.arg != Invalid else None),
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(UPat.var("a").where(invalid_gate, UPat.var("c")), lambda cond,i,x,a,c:
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(cond if a is cond else (a.logical_not()|cond)).where(a.where(x,c), i) if c.arg != Invalid else None),
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(UPat.var("a").where(UPat.var("b"), invalid_gate), lambda cond,i,x,a,b: (a|cond).where(a.where(b, x), i) if b.arg != Invalid else None),
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