src/openpower/decoder/isa/svshape.py

   1 """provides convenient field mappings for SVSHAPE in different modes
   2
   3 the trickiest is Indexed mode which sits inside Matrix using two of
   4 permute options to activate.
   5
   6 https://libre-soc.org/openpower/sv/remap
   7 """
   8
   9 from openpower.decoder.selectable_int import (FieldSelectableInt, SelectableInt,
  10                                         selectconcat)
  11 from openpower.decoder.isa.remapyield import iterate_indices
  12 from openpower.decoder.isa.remap_fft_yield import iterate_butterfly_indices
  13 from openpower.decoder.isa.remap_dct_yield import (
  14                                 iterate_dct_inner_butterfly_indices,
  15                                 iterate_dct_inner_costable_indices,
  16                                 iterate_dct_outer_butterfly_indices,
  17                                 iterate_dct_inner_halfswap_loadstore)
  18 from openpower.sv.svp64 import SVP64SHAPE
  19 import os
  20 from copy import deepcopy
  21 from openpower.util import log
  22
  23
  24 class SVSHAPE(SelectableInt):
  25     def __init__(self, value, gpr=None):
  26         SelectableInt.__init__(self, value, 32)
  27         self.gpr = gpr # for Indexed mode
  28         offs = 0
  29         # set up sub-fields from Record layout
  30         self.fsi = {}
  31         l = deepcopy(SVP64SHAPE.layout)
  32         l.reverse()
  33         for field, width in l:
  34             end =  offs+width
  35             fs = tuple(range(offs, end))
  36             v = FieldSelectableInt(self, fs)
  37             self.fsi[field] = v
  38             log("SVSHAPE setup field", field, offs, end)
  39             offs = end
  40
  41     def copy(self):
  42         return SVSHAPE(self.value, self.gpr)
  43
  44     def is_indexed(self):
  45         "REMAP Indexed Mode"
  46         return self.mode == 0b00 and self.submode2 in [0b110, 0b111]
  47
  48     @property
  49     def submode2(self):
  50         return self.fsi['permute'].asint(msb0=True)
  51
  52     @submode2.setter
  53     def submode2(self, value):
  54         self.fsi['permute'].eq(value)
  55
  56     @property
  57     def order(self):
  58         permute = self.fsi['permute'].asint(msb0=True)
  59         if self.is_indexed():
  60             permute = (permute-0b110)*2 # xyz or yxz
  61         return SVP64SHAPE.order(permute)
  62
  63     @order.setter
  64     def order(self, value):
  65         rorder = SVP64SHAPE.rorder(value)
  66         self.fsi['permute'].eq(rorder)
  67
  68     @property
  69     def xdimsz(self):
  70         return self.fsi['xdimsz'].asint(msb0=True)+1
  71
  72     @xdimsz.setter
  73     def xdimsz(self, value):
  74         self.fsi['xdimsz'].eq(value-1)
  75
  76     @property
  77     def ydimsz(self):
  78         return self.fsi['ydimsz'].asint(msb0=True)+1
  79
  80     @ydimsz.setter
  81     def ydimsz(self, value):
  82         self.fsi['ydimsz'].eq(value-1)
  83
  84     @property
  85     def svgpr(self):
  86         return self.fsi['zdimsz'].asint(msb0=True) << 1
  87
  88     @property
  89     def zdimsz(self):
  90         z = self.fsi['zdimsz'].asint(msb0=True)+1
  91         if self.is_indexed():
  92             z = 1 # no z dimension when indexed
  93         return z
  94
  95     @zdimsz.setter
  96     def zdimsz(self, value):
  97         self.fsi['zdimsz'].eq(value-1)
  98
  99     @property
 100     def lims(self):
 101         return [self.xdimsz, self.ydimsz, self.zdimsz]
 102
 103     @lims.setter
 104     def lims(self, value):
 105         self.xdimsz = value[0]
 106         self.ydimsz = value[1]
 107         self.zdimsz = value[2]
 108
 109     @property
 110     def invxyz(self):
 111         inv = self.fsi['invxyz'].asint(msb0=True)
 112         if self.is_indexed():
 113             inv &= 0b011 # no 3rd z in indexed mode
 114         return [(inv & 0b1), (inv & 0b10) >> 1, (inv & 0b100) >> 2]
 115
 116     @invxyz.setter
 117     def invxyz(self, value):
 118         self.fsi['invxyz'].eq(value[0] | (value[1]<<1) | (value[2]<<2))
 119
 120     @property
 121     def mode(self):
 122         return self.fsi['mode'].asint(msb0=True)
 123
 124     @mode.setter
 125     def mode(self, value):
 126         self.fsi['mode'].eq(value)
 127
 128     @property
 129     def elwid(self):
 130         return self.fsi['skip'].asint(msb0=True)
 131
 132     @property
 133     def skip(self):
 134         if self.is_indexed():
 135             inv = self.fsi['invxyz'].asint(msb0=True)
 136             return (inv & 0b100) >> 2
 137         return self.fsi['skip'].asint(msb0=True)
 138
 139     @skip.setter
 140     def skip(self, value):
 141         self.fsi['skip'].eq(value)
 142
 143     @property
 144     def offset(self):
 145         return self.fsi['offset'].asint(msb0=True)
 146
 147     @offset.setter
 148     def offset(self, value):
 149         self.fsi['offset'].eq(value)
 150
 151     def postprocess(self, idx):
 152         if self.mode != 0b00 or not self.is_indexed():
 153             return idx
 154         if self.gpr is None:
 155             return idx
 156         remap = self.gpr(self.svgpr+idx).value # TODO: elwidths
 157         log ("indexed_iterator", self.svgpr, idx, remap)
 158         return remap
 159
 160     def get_iterator(self):
 161         log ("SVSHAPE get_iterator", self.mode, self.ydimsz, self.is_indexed())
 162         if self.mode == 0b00:
 163             iterate_fn = iterate_indices
 164         elif self.mode in [0b01, 0b11]:
 165             # further sub-selection
 166             if self.ydimsz == 1:
 167                 iterate_fn = iterate_butterfly_indices
 168             elif self.ydimsz in [2, 4]:
 169                 iterate_fn = iterate_dct_inner_butterfly_indices
 170             elif self.ydimsz == 3:
 171                 iterate_fn = iterate_dct_outer_butterfly_indices
 172             elif self.ydimsz in [5, 13]:
 173                 iterate_fn = iterate_dct_inner_costable_indices
 174             elif self.ydimsz in [6, 14, 15]:
 175                 iterate_fn = iterate_dct_inner_halfswap_loadstore
 176         # create a **NEW** iterator each time this is called
 177         return iterate_fn(self.copy())
 178
 179
 180 if __name__ == '__main__':
 181     os.environ['SILENCELOG'] = "1"
 182     xdim = 2
 183     ydim = 3
 184     zdim = 1
 185     SVSHAPE0 = SVSHAPE(0)
 186     SVSHAPE0.lims = [xdim, ydim, zdim]
 187     SVSHAPE0.submode2 = 0b110 # yx indexed
 188     SVSHAPE0.mode = 0b00
 189     SVSHAPE0.skip = 0b00
 190     SVSHAPE0.offset = 0       # experiment with different offset, here
 191     SVSHAPE0.invxyz = [0,0,1] # inversion if desired
 192
 193     VL = xdim * ydim * zdim
 194
 195     print ("Matrix Indexed Mode", SVSHAPE0.order, SVSHAPE0.invxyz)
 196     for idx, new_idx in enumerate(SVSHAPE0.get_iterator()):
 197         if idx >= VL:
 198             break
 199         print ("%d->%s" % (idx, repr(new_idx)))
 200
 201     print ("")
 202
 203
 204     xdim = 3
 205     ydim = 2
 206     zdim = 1
 207     SVSHAPE0 = SVSHAPE(0)
 208     SVSHAPE0.lims = [xdim, ydim, zdim]
 209     SVSHAPE0.order = [1,0,2]  # experiment with different permutations, here
 210     SVSHAPE0.mode = 0b00
 211     SVSHAPE0.skip = 0b00
 212     SVSHAPE0.offset = 0       # experiment with different offset, here
 213     SVSHAPE0.invxyz = [0,1,0] # inversion if desired
 214
 215     VL = xdim * ydim * zdim
 216
 217     print ("Matrix Mode")
 218     for idx, new_idx in enumerate(SVSHAPE0.get_iterator()):
 219         if idx >= VL:
 220             break
 221         print ("%d->%s" % (idx, repr(new_idx)))
 222
 223     print ("")
 224     print ("FFT Mode")
 225
 226     # set the dimension sizes here
 227     xdim = 8
 228     ydim = 0 # not needed
 229     zdim = 0 # again, not needed
 230
 231     # set total. err don't know how to calculate how many there are...
 232     # do it manually for now
 233
 234     VL = 0
 235     size = 2
 236     n = xdim
 237     while size <= n:
 238         halfsize = size // 2
 239         tablestep = n // size
 240         for i in range(0, n, size):
 241             for j in range(i, i + halfsize):
 242                 VL += 1
 243         size *= 2
 244
 245     # j schedule
 246     SVSHAPE0 = SVSHAPE(0)
 247     SVSHAPE0.lims = [xdim, ydim, zdim]
 248     SVSHAPE0.order = [0,1,2]  # experiment with different permutations, here
 249     SVSHAPE0.mode = 0b00
 250     SVSHAPE0.offset = 0       # experiment with different offset, here
 251     SVSHAPE0.invxyz = [0,0,0] # inversion if desired
 252     # j+halfstep schedule
 253     SVSHAPE1 = SVSHAPE(0)
 254     SVSHAPE1.lims = [xdim, ydim, zdim]
 255     SVSHAPE1.order = [0,1,2]  # experiment with different permutations, here
 256     SVSHAPE1.mode = 0b01
 257     SVSHAPE1.offset = 0       # experiment with different offset, here
 258     SVSHAPE1.invxyz = [0,0,0] # inversion if desired
 259     # k schedule
 260     SVSHAPE2 = SVSHAPE(0)
 261     SVSHAPE2.lims = [xdim, ydim, zdim]
 262     SVSHAPE2.order = [0,1,2]  # experiment with different permutations, here
 263     SVSHAPE2.mode = 0b10
 264     SVSHAPE2.offset = 0       # experiment with different offset, here
 265     SVSHAPE2.invxyz = [0,0,0] # inversion if desired
 266
 267     # enumerate over the iterator function, getting new indices
 268     schedule = []
 269     for idx, (jl, jh, k) in enumerate(zip(iterate_indices(SVSHAPE0),
 270                                           iterate_indices(SVSHAPE1),
 271                                           iterate_indices(SVSHAPE2))):
 272         if idx >= VL:
 273             break
 274         schedule.append((jl[0], jh[0], k[0]))
 275
 276     # ok now pretty-print the results, with some debug output
 277     size = 2
 278     idx = 0
 279     while size <= n:
 280         halfsize = size // 2
 281         tablestep = n // size
 282         print ("size %d halfsize %d tablestep %d" % \
 283                 (size, halfsize, tablestep))
 284         for i in range(0, n, size):
 285             prefix = "i %d\t" % i
 286             k = 0
 287             for j in range(i, i + halfsize):
 288                 jl, jh, ks = schedule[idx]
 289                 print ("  %-3d\t%s j=%-2d jh=%-2d k=%-2d -> "
 290                         "j[jl=%-2d] j[jh=%-2d] exptable[k=%d]" % \
 291                                 (idx, prefix, j, j+halfsize, k,
 292                                       jl, jh, ks))
 293                 k += tablestep
 294                 idx += 1
 295         size *= 2
 296