1 """provides convenient field mappings for SVSHAPE in different modes
3 the trickiest is Indexed mode which sits inside Matrix using two of
4 permute options to activate.
6 https://libre-soc.org/openpower/sv/remap
9 from openpower
.decoder
.selectable_int
import (FieldSelectableInt
, SelectableInt
,
11 from openpower
.decoder
.isa
.remapyield
import iterate_indices
12 from openpower
.decoder
.isa
.remap_preduce_yield
import (iterate_indices
as
13 iterate_preduce_indices
)
14 from openpower
.decoder
.isa
.remap_fft_yield
import iterate_butterfly_indices
15 from openpower
.decoder
.isa
.remap_dct_yield
import (
16 iterate_dct_inner_butterfly_indices
,
17 iterate_dct_inner_costable_indices
,
18 iterate_dct_outer_butterfly_indices
,
19 iterate_dct_inner_halfswap_loadstore
)
20 from openpower
.sv
.svp64
import SVP64SHAPE
22 from copy
import deepcopy
23 from openpower
.util
import log
26 class SVSHAPE(SelectableInt
):
27 def __init__(self
, value
, gpr
=None):
28 SelectableInt
.__init
__(self
, value
, 32)
29 self
.gpr
= gpr
# for Indexed mode
31 # set up sub-fields from Record layout
33 l
= deepcopy(SVP64SHAPE
.layout
)
35 for field
, width
in l
:
37 fs
= tuple(range(offs
, end
))
38 v
= FieldSelectableInt(self
, fs
)
40 log("SVSHAPE setup field", field
, offs
, end
)
44 return SVSHAPE(self
.value
, self
.gpr
)
48 return self
.mode
== 0b00 and self
.submode2
in [0b110, 0b111]
52 return self
.fsi
['permute'].asint(msb0
=True)
55 def submode2(self
, value
):
56 self
.fsi
['permute'].eq(value
)
60 permute
= self
.fsi
['permute'].asint(msb0
=True)
62 permute
= (permute
-0b110)*2 # xyz or yxz
63 return SVP64SHAPE
.order(permute
)
66 def order(self
, value
):
67 rorder
= SVP64SHAPE
.rorder(value
)
68 self
.fsi
['permute'].eq(rorder
)
72 return self
.fsi
['xdimsz'].asint(msb0
=True)+1
75 def xdimsz(self
, value
):
76 self
.fsi
['xdimsz'].eq(value
-1)
80 return self
.fsi
['ydimsz'].asint(msb0
=True)+1
83 def ydimsz(self
, value
):
84 self
.fsi
['ydimsz'].eq(value
-1)
88 return self
.fsi
['zdimsz'].asint(msb0
=True) << 1
92 z
= self
.fsi
['zdimsz'].asint(msb0
=True)+1
94 z
= 1 # no z dimension when indexed
98 def zdimsz(self
, value
):
99 self
.fsi
['zdimsz'].eq(value
-1)
103 return [self
.xdimsz
, self
.ydimsz
, self
.zdimsz
]
106 def lims(self
, value
):
107 self
.xdimsz
= value
[0]
108 self
.ydimsz
= value
[1]
109 self
.zdimsz
= value
[2]
113 inv
= self
.fsi
['invxyz'].asint(msb0
=True)
114 if self
.is_indexed():
115 inv
&= 0b011 # no 3rd z in indexed mode
116 return [(inv
& 0b1), (inv
& 0b10) >> 1, (inv
& 0b100) >> 2]
119 def invxyz(self
, value
):
120 self
.fsi
['invxyz'].eq(value
[0] |
(value
[1]<<1) |
(value
[2]<<2))
124 return self
.fsi
['mode'].asint(msb0
=True)
127 def mode(self
, value
):
128 self
.fsi
['mode'].eq(value
)
132 return self
.fsi
['skip'].asint(msb0
=True)
136 if self
.is_indexed():
137 inv
= self
.fsi
['invxyz'].asint(msb0
=True)
138 return (inv
& 0b100) >> 2
139 return self
.fsi
['skip'].asint(msb0
=True)
142 def skip(self
, value
):
143 self
.fsi
['skip'].eq(value
)
147 return self
.fsi
['offset'].asint(msb0
=True)
150 def offset(self
, value
):
151 self
.fsi
['offset'].eq(value
)
153 def postprocess(self
, idx
, step
):
154 if self
.mode
!= 0b00 or not self
.is_indexed():
158 if self
.xdimsz
== 1 and self
.ydimsz
== 1:
159 idx
= step
# no Index remapping
160 remap
= self
.gpr(self
.svgpr
+idx
).value
# TODO: elwidths
161 log ("indexed_iterator", self
.svgpr
, idx
, remap
)
164 def get_iterator(self
):
165 log ("SVSHAPE get_iterator", self
.mode
, self
.ydimsz
, self
.is_indexed())
166 if self
.mode
== 0b00:
167 iterate_fn
= iterate_indices
168 elif self
.mode
== 0b10:
169 iterate_fn
= iterate_preduce_indices
170 elif self
.mode
in [0b01, 0b11]:
171 # further sub-selection
173 iterate_fn
= iterate_butterfly_indices
174 elif self
.ydimsz
in [2, 4]:
175 iterate_fn
= iterate_dct_inner_butterfly_indices
176 elif self
.ydimsz
== 3:
177 iterate_fn
= iterate_dct_outer_butterfly_indices
178 elif self
.ydimsz
in [5, 13]:
179 iterate_fn
= iterate_dct_inner_costable_indices
180 elif self
.ydimsz
in [6, 14, 15]:
181 iterate_fn
= iterate_dct_inner_halfswap_loadstore
182 # create a **NEW** iterator each time this is called
183 return iterate_fn(self
.copy())
186 if __name__
== '__main__':
187 os
.environ
['SILENCELOG'] = "1"
191 SVSHAPE0
= SVSHAPE(0)
192 SVSHAPE0
.lims
= [xdim
, ydim
, zdim
]
193 SVSHAPE0
.submode2
= 0b110 # yx indexed
196 SVSHAPE0
.offset
= 0 # experiment with different offset, here
197 SVSHAPE0
.invxyz
= [0,0,1] # xy inversion (indices 0,1) , skip if desired (2)
199 VL
= 6 # xdim * ydim * zdim
201 print ("Matrix Indexed Mode", SVSHAPE0
.order
, SVSHAPE0
.invxyz
)
202 for idx
, new_idx
in enumerate(SVSHAPE0
.get_iterator()):
205 print ("%d->%s" % (idx
, repr(new_idx
)))
212 SVSHAPE0
= SVSHAPE(0)
213 SVSHAPE0
.lims
= [xdim
, ydim
, zdim
]
214 SVSHAPE0
.order
= [1,0,2] # experiment with different permutations, here
217 SVSHAPE0
.offset
= 0 # experiment with different offset, here
218 SVSHAPE0
.invxyz
= [0,1,0] # inversion if desired
220 VL
= xdim
* ydim
* zdim
222 print ("Matrix Mode")
223 for idx
, new_idx
in enumerate(SVSHAPE0
.get_iterator()):
226 print ("%d->%s" % (idx
, repr(new_idx
)))
231 # set the dimension sizes here
233 ydim
= 0 # not needed
234 zdim
= 0 # again, not needed
236 # set total. err don't know how to calculate how many there are...
237 # do it manually for now
244 tablestep
= n
// size
245 for i
in range(0, n
, size
):
246 for j
in range(i
, i
+ halfsize
):
251 SVSHAPE0
= SVSHAPE(0)
252 SVSHAPE0
.lims
= [xdim
, ydim
, zdim
]
253 SVSHAPE0
.order
= [0,1,2] # experiment with different permutations, here
255 SVSHAPE0
.offset
= 0 # experiment with different offset, here
256 SVSHAPE0
.invxyz
= [0,0,0] # inversion if desired
257 # j+halfstep schedule
258 SVSHAPE1
= SVSHAPE(0)
259 SVSHAPE1
.lims
= [xdim
, ydim
, zdim
]
260 SVSHAPE1
.order
= [0,1,2] # experiment with different permutations, here
262 SVSHAPE1
.offset
= 0 # experiment with different offset, here
263 SVSHAPE1
.invxyz
= [0,0,0] # inversion if desired
265 SVSHAPE2
= SVSHAPE(0)
266 SVSHAPE2
.lims
= [xdim
, ydim
, zdim
]
267 SVSHAPE2
.order
= [0,1,2] # experiment with different permutations, here
269 SVSHAPE2
.offset
= 0 # experiment with different offset, here
270 SVSHAPE2
.invxyz
= [0,0,0] # inversion if desired
272 # enumerate over the iterator function, getting new indices
274 for idx
, (jl
, jh
, k
) in enumerate(zip(iterate_indices(SVSHAPE0
),
275 iterate_indices(SVSHAPE1
),
276 iterate_indices(SVSHAPE2
))):
279 schedule
.append((jl
[0], jh
[0], k
[0]))
281 # ok now pretty-print the results, with some debug output
286 tablestep
= n
// size
287 print ("size %d halfsize %d tablestep %d" % \
288 (size
, halfsize
, tablestep
))
289 for i
in range(0, n
, size
):
290 prefix
= "i %d\t" % i
292 for j
in range(i
, i
+ halfsize
):
293 jl
, jh
, ks
= schedule
[idx
]
294 print (" %-3d\t%s j=%-2d jh=%-2d k=%-2d -> "
295 "j[jl=%-2d] j[jh=%-2d] exptable[k=%d]" % \
296 (idx
, prefix
, j
, j
+halfsize
, k
,