forked from tinygrad/tinygrad
unroll
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@@ -27,5 +27,10 @@ class TestRangeify(unittest.TestCase):
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b = a.sum(axis=1)
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with_opts(b, [Opt(op=OptOps.UPCAST, axis=0, arg=4)])
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def test_unroll_sum(self):
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a = Tensor.empty(4, 4)
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b = a.sum(axis=1)
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with_opts(b, [Opt(op=OptOps.UNROLL, axis=0, arg=4)])
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if __name__ == '__main__':
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unittest.main()
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@@ -17,7 +17,6 @@ def map_store(ctx:RangeifyContext, x:UOp):
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upcast_amount = prod([o.arg if o.arg != 0 else s for o in ctx.opts if o.axis == i and o.op == OptOps.UPCAST])
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if resolve(s!=1):
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if upcast_amount != 1:
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print(x.shape, upcast_amount)
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assert s%upcast_amount == 0
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rng = UOp.range(dtypes.int, s//upcast_amount, (ctx.idx, AxisType.LOOP)) * upcast_amount
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rng = rng + UOp.range(dtypes.int, upcast_amount, (ctx.idx+1, AxisType.UPCAST))
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@@ -35,7 +34,7 @@ def map_store(ctx:RangeifyContext, x:UOp):
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def map_load(ctx:RangeifyContext, idx:UOp, load:UOp):
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out_ranges = idx.src[1:]
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idx_sink = UOp.sink(*out_ranges)
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upcast_ranges = [x for x in idx_sink.toposort() if x.op is Ops.RANGE and x.arg[1] == AxisType.UPCAST]
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upcast_ranges = [x for x in idx_sink.toposort() if x.op is Ops.RANGE and x.arg[1] in (AxisType.UPCAST, AxisType.UNROLL)]
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upcast_shape = tuple([x.vmax+1 for x in upcast_ranges])
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if len(upcast_ranges):
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buf = UOp(Ops.DEFINE_REG, load.dtype.ptr(size=prod([x.vmax+1 for x in upcast_ranges]), addrspace=AddrSpace.REG), arg=(ctx.regs,))
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@@ -67,12 +66,24 @@ def map_reduce(ctx:RangeifyContext, idx:UOp, red:UOp):
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# create reduce dims (before new upcast dims)
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new_ranges = []
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reduce_axis = 0
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for i,s in enumerate(red.src[0].shape):
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if i in red.arg[1]:
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unroll_amount = prod([o.arg if o.arg != 0 else s for o in ctx.opts if o.axis == reduce_axis and o.op == OptOps.UNROLL])
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reduce_axis += 1
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assert rngs[i].op == Ops.CONST
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rngs[i] = UOp.range(dtypes.int, s, (ctx.idx, AxisType.REDUCE))
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new_ranges.append(rngs[i])
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ctx.idx += 1
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#rngs[i] = UOp.range(dtypes.int, s, (ctx.idx, AxisType.REDUCE))
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#ctx.idx += 1
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if unroll_amount != 1:
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assert s%unroll_amount == 0
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rngs[i] = UOp.range(dtypes.int, s//unroll_amount, (ctx.idx, AxisType.REDUCE)) * unroll_amount
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rngs[i] = rngs[i] + UOp.range(dtypes.int, unroll_amount, (ctx.idx+1, AxisType.UNROLL))
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ctx.idx += 2
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new_ranges.extend(list(rngs[i].src))
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else:
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rngs[i] = UOp.range(dtypes.int, s, (ctx.idx, AxisType.REDUCE))
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ctx.idx += 1
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new_ranges.append(rngs[i])
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# create new upcast dims
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replace_ranges = {}
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