def test_data_loops_all_lpe(self):
''' data_loops in constructor have all LoopEnum. '''
data_loops = [None] * de.NUM
data_loops[de.FIL] = DataDimLoops(le.IFM, le.OFM)
data_loops[de.IFM] = DataDimLoops(le.IFM, le.OFM, le.BAT)
data_loops[de.OFM] = DataDimLoops(le.OFM, le.BAT)
bufshr = BufShrScheme(self.nr1, self.ps1, data_loops)
self.assertTupleEqual(bufshr.dim(de.IFM), (1, 1))
self.assertTrue(all(math.isinf(d) for d in bufshr.nbr_dists[de.IFM]))
def test_bufshr_wide_fetch_example(self):
''' Example scheme using bufshr with wide fetch. '''
# Make a PartitionScheme that allows bufshr for IFM.
part = PartitionScheme(order=range(pe.NUM),
pdims=((2, 2), (1, 1), (2, 1), (1, 1)))
bufshr = BufShrScheme(self.par_proc_region, part)
self.assertEqual(
bufshr.size(de.IFM), 4, 'test_bufshr_wide_fetch_example: '
'made-up PartitionScheme is not expected: '
'{}, bufshr size for {} {}.'.format(part, de.IFM,
bufshr.size(de.IFM)))
for t1, t2 in [((3, 3, 1), (1, 1, 2)), ((1, 3, 2), (3, 1, 1))]:
# Make a LoopBlockingScheme that has wide fetch for IFM.
p_nld = self._part_nld(part)
bl_ts = (tuple(
util.idivc(p_nld.loopcnt[lpe], t1[lpe] * t2[lpe])
for lpe in range(le.NUM)), t1, t2)
# At GBUF level, from inner to outer: le.BAT, le.IFM, le.OFM.
bl_ords = (tuple(range(le.NUM)), (1, 2, 0))
lbs = LoopBlockingScheme(p_nld, bl_ts, bl_ords,
self.resource['PAR'], bufshr,
self.options['BUFSHR'])
self.assertTrue(lbs.is_valid())
self.assertGreater(sum(lbs.get_noc_access()), 0)
self.assertEqual(
lbs.bufshr_subgrp_size[de.IFM], 4,
'test_bufshr_wide_fetch_example: '
'made-up LoopBlockingScheme is not expected: '
'{}, bufshr subgrp size for {} {}.'.format(
(bl_ts, bl_ords), de.IFM, lbs.bufshr_subgrp_size[de.IFM]))
self.assertGreater(
lbs.bufshr_wide_fetch_width[de.IFM], 1,
'test_bufshr_wide_fetch_example: '
'made-up LoopBlockingScheme is not expected: '
'{}, bufshr wide fetch width for {} {}.'.format(
(bl_ts, bl_ords), de.IFM,
lbs.bufshr_wide_fetch_width[de.IFM]))
self.assertGreater(
lbs.bufshr_rot_round_cnt[de.IFM], 0,
'test_bufshr_wide_fetch_example: '
'made-up LoopBlockingScheme is not expected: '
'{}, bufshr rotation rounds for {} {}'.format(
(bl_ts, bl_ords), de.IFM,
lbs.bufshr_rot_round_cnt[de.IFM]))
# Sim.
dram_access, gbuf_access, bufshr_stats = \
self._sim_access_conv(lbs, get_bufshr=True)
self._verify_bufshr_stats(dram_access, gbuf_access, bufshr_stats,
lbs, bufshr,
'test_bufshr_wide_fetch_example')
def test_mismatch_node_region(self):
''' Mismatched node region and part in constructor. '''
# Smaller node region. Invalid.
with self.assertRaisesRegexp(ValueError, 'BufShrScheme: .*region.*'):
_ = BufShrScheme(
NodeRegion(origin=PhyDim2(0, 0),
dim=PhyDim2(1, 1),
type=NodeRegion.PROC), self.ps1)
# Larger node region. Valid.
bufshr = BufShrScheme(
NodeRegion(origin=PhyDim2(0, 0),
dim=PhyDim2(100, 100),
type=NodeRegion.PROC), self.ps1)
self.assertTupleEqual(bufshr.dim(de.IFM), self.ps1.dim(pe.OUTP))
def test_data_loops(self):
''' data_loops in constructor. '''
data_loops = [None] * de.NUM
data_loops[de.FIL] = DataDimLoops(le.IFM, le.OFM)
data_loops[de.IFM] = DataDimLoops(le.OFM, le.BAT)
data_loops[de.OFM] = DataDimLoops(le.OFM, le.BAT)
for nr, ps in zip([self.nr1, self.nr2, self.nr3],
[self.ps1, self.ps2, self.ps3]):
bufshr = BufShrScheme(nr, ps, data_loops)
self.assertTupleEqual(bufshr.dim(de.IFM), bufshr.dim(de.OFM))
self.assertTupleEqual(bufshr.nbr_dists[de.IFM],
bufshr.nbr_dists[de.OFM])
def test_bufshr_access_byp(self):
''' Access of scheme using bufshr with bypassing. '''
for part in self._gen_all_partition():
p_nld = self._part_nld(part)
bufshr = BufShrScheme(self.par_proc_region, part)
for lbs in loop_blocking.gen_loopblocking(
p_nld, self.resource['PAR'], part, self.none_cstr,
self.cost, self.options['BUFSHR-BYP']):
if not lbs.is_valid():
continue
# Skip those without bufshr.
if all(sgs <= 1 for sgs in lbs.bufshr_subgrp_size):
continue
# Skip those without bypassing.
if all(lbs.stored_in_gbuf):
continue
# Sim.
dram_access, gbuf_access, bufshr_stats = \
self._sim_access_conv(lbs, get_bufshr=True)
self._verify_bufshr_stats(dram_access, gbuf_access,
bufshr_stats, lbs, bufshr,
'test_bufshr_access')
def test_default_data_loops(self):
''' Default data_loops in constructor. '''
data_loops = [None] * de.NUM
data_loops[de.FIL] = DataDimLoops(le.IFM, le.OFM)
data_loops[de.IFM] = DataDimLoops(le.IFM, le.BAT)
data_loops[de.OFM] = DataDimLoops(le.OFM, le.BAT)
for bufshr, nr, ps in zip([self.bufshr1, self.bufshr2, self.bufshr3],
[self.nr1, self.nr2, self.nr3],
[self.ps1, self.ps2, self.ps3]):
bufshr_ = BufShrScheme(nr, ps, data_loops)
for dce in range(de.NUM):
self.assertTupleEqual(bufshr.dim(dce), bufshr_.dim(dce))
self.assertTupleEqual(bufshr.nbr_dists[dce],
bufshr_.nbr_dists[dce])
def test_bufshr_multisubgrp_example(self):
''' Example scheme using bufshr with multiple subgroups in a group. '''
# Make a PartitionScheme that allows bufshr for IFM.
part = PartitionScheme(order=list(reversed(range(pe.NUM))),
pdims=((2, 2), (1, 1), (2, 1), (1, 1)))
bufshr = BufShrScheme(self.par_proc_region, part)
self.assertEqual(
bufshr.size(de.IFM), 4, 'test_bufshr_multisubgrp_example: '
'made-up PartitionScheme is not expected: '
'{}, bufshr size for {} {}.'.format(part, de.IFM,
bufshr.size(de.IFM)))
# Make a LoopBlockingScheme that has multi subgroups per group for IFM.
p_nld = self._part_nld(part)
bl_ts = ((util.idivc(p_nld.loopcnt[le.IFM],
1), util.idivc(p_nld.loopcnt[le.OFM], 3),
util.idivc(p_nld.loopcnt[le.BAT], 2)), (1, 3, 2), (1, 1, 1))
# At GBUF level, from inner to outer: le.BAT, le.OFM, le.IFM.
bl_ords = (tuple(range(le.NUM)), (2, 1, 0))
lbs = LoopBlockingScheme(p_nld, bl_ts, bl_ords, self.resource['PAR'],
bufshr, self.options['BUFSHR'])
self.assertTrue(lbs.is_valid())
self.assertGreater(sum(lbs.get_noc_access()), 0)
self.assertGreater(
lbs.bufshr_grp_size[de.IFM], lbs.bufshr_subgrp_size[de.IFM],
'test_bufshr_multisubgrp_example: '
'made-up LoopBlockingScheme is not expected: '
'{}, bufshr grp size {}, bufshr subgrp size {}'.format(
(bl_ts, bl_ords), lbs.bufshr_grp_size, lbs.bufshr_subgrp_size))
self.assertGreater(
lbs.bufshr_rot_round_cnt[de.IFM], 0,
'test_bufshr_multisubgrp_example: '
'made-up LoopBlockingScheme is not expected: '
'{}, bufshr rotation rounds for {} {}'.format(
(bl_ts, bl_ords), de.IFM, lbs.bufshr_rot_round_cnt[de.IFM]))
# Sim.
dram_access, gbuf_access, bufshr_stats = \
self._sim_access_conv(lbs, get_bufshr=True)
self._verify_bufshr_stats(dram_access, gbuf_access, bufshr_stats, lbs,
bufshr, 'test_bufshr_multisubgrp_example')
def test_accfwd(self):
''' Scheme using accfwd. '''
for part in self._gen_all_partition():
p_nld = self._part_nld(part)
filter_size, ifmap_size, ofmap_size = self._total_part_size(part)
bufshr = BufShrScheme(self.par_proc_region, part)
# Filter may still have redundant fetch.
fil_fetch = part.size(pe.BATP, pe.OFMP) // bufshr.size(de.FIL)
for lbs in loop_blocking.gen_loopblocking(p_nld,
self.resource['PAR'],
part, self.none_cstr,
self.cost,
self.options['ACCFWD']):
if not lbs.is_valid():
continue
# Ops.
self.assertAlmostEqual(lbs.ops, self.total_ops)
# Access forwarding reduction.
accfwd_red = lbs.accfwd_reduction
self.assertEqual(accfwd_red[de.FIL],
part.size(pe.BATP, pe.OFMP) // fil_fetch)
self.assertEqual(accfwd_red[de.OFM], part.size(pe.INPP))
self.assertEqual(accfwd_red[de.IFM], part.size(pe.OUTP))
# Top fetch and access.
top_fetch = lbs.fetch[0]
top_access = lbs.access[0]
self.assertAlmostEqual(
top_access[de.FIL],
top_fetch[de.FIL] * filter_size * fil_fetch)
self.assertAlmostEqual(top_access[de.OFM],
top_fetch[de.OFM] * ofmap_size)
self.assertGreaterEqual(top_access[de.IFM],
top_fetch[de.IFM] * ifmap_size)
def test_bufshr(self):
''' Scheme using bufshr. '''
for part in self._gen_all_partition():
p_nld = self._part_nld(part)
bufshr = BufShrScheme(self.par_proc_region, part)
# Filter may still have redundant fetch.
fil_fetch = part.size(pe.BATP, pe.OFMP) // bufshr.size(de.FIL)
for optkey in ['BUFSHR', 'BUFSHR-BYP']:
for lbs in loop_blocking.gen_loopblocking(
p_nld, self.resource['PAR'], part, self.none_cstr,
self.cost, self.options[optkey]):
if not lbs.is_valid():
continue
# Ops.
self.assertAlmostEqual(lbs.ops, self.total_ops)
# Buffer sharing uses access forwarding reduction.
accfwd_red = lbs.accfwd_reduction
self.assertEqual(accfwd_red[de.FIL],
part.size(pe.BATP, pe.OFMP) // fil_fetch)
self.assertEqual(accfwd_red[de.OFM], part.size(pe.INPP))
self.assertEqual(accfwd_red[de.IFM], part.size(pe.OUTP))
# Buffer sharing group size.
bufshr_grp_size = lbs.bufshr_grp_size
self.assertSequenceEqual(bufshr_grp_size, accfwd_red)
# Buffer sharing subgroup size.
bufshr_subgrp_size = lbs.bufshr_subgrp_size
self.assertTrue(
all(subgrp <= grp for subgrp, grp in zip(
bufshr_subgrp_size, bufshr_grp_size)))
def test_bufshr_rotation_example(self):
''' Example scheme using bufshr with rotation. '''
# Make a PartitionScheme that allows bufshr for all data categories.
part = PartitionScheme(order=range(pe.NUM),
pdims=((2, 1), (1, 2), (1, 1), (2, 1)))
bufshr = BufShrScheme(self.par_proc_region, part)
self.assertTrue(
all(bufshr.size(dce) > 1 for dce in range(de.NUM)),
'test_bufshr_rotation_example: '
'made-up PartitionScheme is not expected: '
'{}, bufshr size {}'.format(
part, [bufshr.size(dce) for dce in range(de.NUM)]))
# Make a LoopBlockingScheme that uses bufshr for all data categories.
p_nld = self._part_nld(part)
bl_ts = ((util.idivc(p_nld.loopcnt[le.IFM],
6), util.idivc(p_nld.loopcnt[le.OFM], 9),
util.idivc(p_nld.loopcnt[le.BAT], 2)), (3, 3, 2), (2, 3, 1))
bl_ords = (tuple(range(le.NUM)), tuple(range(le.NUM)))
lbs = LoopBlockingScheme(p_nld, bl_ts, bl_ords, self.resource['PAR'],
bufshr, self.options['BUFSHR'])
self.assertTrue(lbs.is_valid())
self.assertGreater(sum(lbs.get_noc_access()), 0)
self.assertTrue(
all(sgs > 1 for sgs in lbs.bufshr_subgrp_size)
and all(t > 1 for t in bl_ts[0]), 'test_bufshr_rotation_example: '
'made-up LoopBlockingScheme is not expected: '
'{}, top factors {}, bufshr subgrp size {}'.format(
(bl_ts, bl_ords), bl_ts[0], lbs.bufshr_subgrp_size))
# Sim.
dram_access, gbuf_access, bufshr_stats = \
self._sim_access_conv(lbs, get_bufshr=True)
self._verify_bufshr_stats(dram_access, gbuf_access, bufshr_stats, lbs,
bufshr, 'test_bufshr_rotation_example')
def test_dim_fil(self):
''' Accessor dim with different partitioning for FIL. '''
# Adjacent, BATP upon OFMP.
ps = PartitionScheme(order=[pe.INPP, pe.OUTP, pe.BATP, pe.OFMP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (15, ) * 2)
# Adjacent, OFMP upon BATP.
ps = PartitionScheme(order=[pe.INPP, pe.OFMP, pe.BATP, pe.OUTP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (15, ) * 2)
# Not adjacent, BATP upon OFMP.
ps = PartitionScheme(order=[pe.OUTP, pe.BATP, pe.INPP, pe.OFMP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (5, ) * 2)
# Not adjacent, OFMP upon BATP.
ps = PartitionScheme(order=[pe.OFMP, pe.INPP, pe.BATP, pe.OUTP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (3, ) * 2)
# Only BATP.
ps = PartitionScheme(order=[pe.OUTP, pe.BATP, pe.INPP, pe.OFMP],
pdims=[(2, 2), (1, 1), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (3, ) * 2)
# Only OFMP.
ps = PartitionScheme(order=[pe.OFMP, pe.INPP, pe.BATP, pe.OUTP],
pdims=[(2, 2), (5, 5), (1, 1), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (5, ) * 2)
def setUp(self):
self.ps1 = PartitionScheme(order=[pe.BATP, pe.OUTP, pe.OFMP, pe.INPP],
pdims=[(2, 3), (3, 1), (1, 5), (5, 2)])
self.ps2 = PartitionScheme(order=range(pe.NUM),
pdims=[(2, 2), (5, 5), (3, 3), (1, 1)])
self.ps3 = PartitionScheme(order=range(pe.NUM),
pdims=[(1, 6), (1, 2), (4, 1), (3, 5)])
self.nr1 = NodeRegion(origin=PhyDim2(0, 0), dim=self.ps1.dim(),
type=NodeRegion.PROC)
self.nr2 = NodeRegion(origin=PhyDim2(0, 0), dim=self.ps2.dim(),
type=NodeRegion.PROC)
self.nr3 = NodeRegion(origin=PhyDim2(0, 0), dim=self.ps3.dim(),
type=NodeRegion.PROC)
self.bufshr1 = BufShrScheme(self.nr1, self.ps1)
self.bufshr2 = BufShrScheme(self.nr2, self.ps2)
self.bufshr3 = BufShrScheme(self.nr3, self.ps3)
def setUp(self):
# Workload.
self.layer = {}
self.layer['BASE'] = ConvLayer(12, 10, 28, 3)
self.layer['LGFIL'] = ConvLayer(2, 4, 28, 20)
self.layer['POOL'] = PoolingLayer(32, 28, 2)
self.layer['PAR'] = ConvLayer(24, 36, 56, 3)
self.batch_size = 4
# Resource.
self.resource = {}
dim_array = PhyDim2(16, 16)
proc_region = NodeRegion(origin=PhyDim2(0, 0),
dim=PhyDim2(1, 1),
type=NodeRegion.PROC)
data_region = NodeRegion(origin=PhyDim2(0, 0),
dim=PhyDim2(1, 1),
type=NodeRegion.DRAM)
# Typical resource.
self.resource['BASE'] = Resource(proc_region=proc_region,
dram_region=data_region,
src_data_region=data_region,
dst_data_region=data_region,
dim_array=dim_array,
size_gbuf=65536,
size_regf=64,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
# Larger resource with sufficient capacity, to make all schemes valid.
self.resource['LG'] = Resource(proc_region=proc_region,
dram_region=data_region,
src_data_region=data_region,
dst_data_region=data_region,
dim_array=dim_array,
size_gbuf=1024**3,
size_regf=1024**3,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
# Small resource.
self.resource['SM'] = Resource(proc_region=proc_region,
dram_region=data_region,
src_data_region=data_region,
dst_data_region=data_region,
dim_array=dim_array,
size_gbuf=4096,
size_regf=16,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
# Multi-node parallel resource.
self.resource['PAR'] = Resource(proc_region=NodeRegion(
origin=PhyDim2(0, 0), dim=PhyDim2(4, 2), type=NodeRegion.PROC),
dram_region=data_region,
src_data_region=data_region,
dst_data_region=data_region,
dim_array=dim_array,
size_gbuf=25000,
size_regf=64,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
# Resource with no data regions.
proc_data_region = NodeRegion(origin=PhyDim2(1, 1),
dim=PhyDim2(1, 1),
type=NodeRegion.PROC)
self.resource['SRCNOTDATA'] = Resource(
proc_region=proc_region,
dram_region=data_region,
src_data_region=proc_data_region,
dst_data_region=data_region,
dim_array=dim_array,
size_gbuf=1024**3,
size_regf=1024**3,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
self.resource['DSTNOTDATA'] = Resource(
proc_region=proc_region,
dram_region=data_region,
src_data_region=data_region,
dst_data_region=proc_data_region,
dim_array=dim_array,
size_gbuf=1024**3,
size_regf=1024**3,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
self.resource['DATALOCAL'] = Resource(proc_region=proc_region,
dram_region=data_region,
src_data_region=proc_region,
dst_data_region=proc_region,
dim_array=dim_array,
size_gbuf=1024**3,
size_regf=1024**3,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=False)
# Filter pinning.
self.resource['FILPIN'] = Resource(proc_region=proc_region,
dram_region=data_region,
src_data_region=data_region,
dst_data_region=data_region,
dim_array=dim_array,
size_gbuf=1024**3,
size_regf=1024**3,
array_bus_width=float('inf'),
dram_bandwidth=float('inf'),
no_time_mux=True)
# Nested loop description after mapping.
self.nld = {}
self.nld['BASE'] = next(
MapStrategyEyeriss(self.layer['BASE'], self.batch_size, 1,
dim_array).gen_nested_loop_desc())
self.nld['LGFIL'] = next(
MapStrategyEyeriss(self.layer['LGFIL'], self.batch_size, 1,
dim_array).gen_nested_loop_desc())
self.nld['POOL'] = next(
MapStrategyEyeriss(self.layer['POOL'], self.batch_size, 1,
dim_array).gen_nested_loop_desc())
# Fake nested loop, with zero filter size.
self.nld['ZERO_FIL'] = NestedLoopDesc(
loopcnt=(12, 10, 4),
usize_gbuf=(0, 1000, 800),
usize_regf=(0, 3, 1),
unit_access=((0, 1000, 800), (0, 1000, 800), (3, 9, 7), (1, 1, 1)),
data_loops=(DataDimLoops(le.IFM,
le.OFM), DataDimLoops(le.IFM, le.BAT),
DataDimLoops(le.OFM, le.BAT)),
unit_ops=1,
unit_time=1)
# Fake nested loop, with zero ifmap size.
self.nld['ZERO_IFM'] = NestedLoopDesc(
loopcnt=(12, 10, 4),
usize_gbuf=(9, 0, 800),
usize_regf=(3, 0, 1),
unit_access=((9, 0, 800), (9, 0, 800), (3, 9, 7), (1, 1, 1)),
data_loops=(DataDimLoops(le.IFM,
le.OFM), DataDimLoops(le.IFM, le.BAT),
DataDimLoops(le.OFM, le.BAT)),
unit_ops=1,
unit_time=1)
# Fake partition scheme.
self.part = PartitionScheme(range(pe.NUM), ((1, 1), ) * pe.NUM)
# Fake buffer sharing scheme.
self.bufshr = BufShrScheme(proc_region, self.part)
# Options.
self.options = {}
# Basic.
self.options['BASE'] = Option(ntops=2**30)
# Multiprocessing.
self.options['MP'] = Option(ntops=2**30, nprocesses=8)
# Limited top schemes.
self.options['NTOPS'] = Option(ntops=10)
# Bypass.
self.options['BYP'] = Option(sw_gbuf_bypass=(True, ) * 3, ntops=2**30)
# Bypass solver.
self.options['BYPSOL'] = Option(sw_gbuf_bypass=(True, ) * 3,
sw_solve_loopblocking=True,
ntops=2**30)
# Access forwarding.
self.options['ACCFWD'] = Option(hw_access_forwarding=True, ntops=2**30)
# Buffer sharing.
self.options['BUFSHR'] = Option(hw_gbuf_sharing=True, ntops=2**30)
# Buffer sharing with bypassing.
self.options['BUFSHR-BYP'] = Option(sw_gbuf_bypass=(True, ) * 3,
hw_gbuf_sharing=True,
ntops=2**30)
# Constraint.
self.none_cstr = SchedulingConstraint()
self.cstr = SchedulingConstraint(topifm=1, topbat=1)
# Cost.
self.cost = Cost(mac_op=1,
mem_hier=(200, 6, 2, 1),
noc_hop=50,
idl_unit=50)
class TestBufShrScheme(unittest.TestCase):
''' Tests for BufShrScheme. '''
def setUp(self):
self.ps1 = PartitionScheme(order=[pe.BATP, pe.OUTP, pe.OFMP, pe.INPP],
pdims=[(2, 3), (3, 1), (1, 5), (5, 2)])
self.ps2 = PartitionScheme(order=range(pe.NUM),
pdims=[(2, 2), (5, 5), (3, 3), (1, 1)])
self.ps3 = PartitionScheme(order=range(pe.NUM),
pdims=[(1, 6), (1, 2), (4, 1), (3, 5)])
self.nr1 = NodeRegion(origin=PhyDim2(0, 0),
dim=self.ps1.dim(),
type=NodeRegion.PROC)
self.nr2 = NodeRegion(origin=PhyDim2(0, 0),
dim=self.ps2.dim(),
type=NodeRegion.PROC)
self.nr3 = NodeRegion(origin=PhyDim2(0, 0),
dim=self.ps3.dim(),
type=NodeRegion.PROC)
self.bufshr1 = BufShrScheme(self.nr1, self.ps1)
self.bufshr2 = BufShrScheme(self.nr2, self.ps2)
self.bufshr3 = BufShrScheme(self.nr3, self.ps3)
def test_dim(self):
''' Accessor dim. '''
for bufshr, ps in zip([self.bufshr1, self.bufshr2, self.bufshr3],
[self.ps1, self.ps2, self.ps3]):
self.assertTupleEqual(bufshr.dim(de.IFM), ps.dim(pe.OUTP))
self.assertTupleEqual(bufshr.dim(de.OFM), ps.dim(pe.INPP))
self.assertTupleEqual(self.bufshr1.dim(de.FIL), self.ps1.dim(pe.OFMP))
self.assertTupleEqual(self.bufshr2.dim(de.FIL),
self.ps2.dim(pe.OFMP, pe.BATP))
self.assertTupleEqual(self.bufshr3.dim(de.FIL),
self.ps3.dim(pe.OFMP, pe.BATP))
def test_size(self):
''' Get size. '''
for bufshr in [self.bufshr1, self.bufshr2, self.bufshr3]:
for dce in range(de.NUM):
self.assertEqual(bufshr.dim(dce).size(), bufshr.size(dce))
def test_dim_fil(self):
''' Accessor dim with different partitioning for FIL. '''
# Adjacent, BATP upon OFMP.
ps = PartitionScheme(order=[pe.INPP, pe.OUTP, pe.BATP, pe.OFMP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (15, ) * 2)
# Adjacent, OFMP upon BATP.
ps = PartitionScheme(order=[pe.INPP, pe.OFMP, pe.BATP, pe.OUTP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (15, ) * 2)
# Not adjacent, BATP upon OFMP.
ps = PartitionScheme(order=[pe.OUTP, pe.BATP, pe.INPP, pe.OFMP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (5, ) * 2)
# Not adjacent, OFMP upon BATP.
ps = PartitionScheme(order=[pe.OFMP, pe.INPP, pe.BATP, pe.OUTP],
pdims=[(2, 2), (5, 5), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (3, ) * 2)
# Only BATP.
ps = PartitionScheme(order=[pe.OUTP, pe.BATP, pe.INPP, pe.OFMP],
pdims=[(2, 2), (1, 1), (3, 3), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (3, ) * 2)
# Only OFMP.
ps = PartitionScheme(order=[pe.OFMP, pe.INPP, pe.BATP, pe.OUTP],
pdims=[(2, 2), (5, 5), (1, 1), (7, 7)])
nr = NodeRegion(origin=PhyDim2(0, 0),
dim=ps.dim(),
type=NodeRegion.PROC)
self.assertTupleEqual(BufShrScheme(nr, ps).dim(de.FIL), (5, ) * 2)
def test_dim_invalid_index(self):
''' Accessor dim invalid index. '''
with self.assertRaises(IndexError):
_ = self.bufshr1.dim(de.NUM)
def test_size_invalid_index(self):
''' Get size invalid index. '''
with self.assertRaises(IndexError):
_ = self.bufshr1.size(de.NUM)
def test_nbr_dists(self):
''' Accessor nbr_dists. '''
inf = float('inf')
self.assertTupleEqual(self.bufshr1.nbr_dists[de.FIL], (5, inf))
self.assertTupleEqual(self.bufshr1.nbr_dists[de.IFM], (15, 2))
self.assertTupleEqual(self.bufshr1.nbr_dists[de.OFM], (1, 1))
self.assertTupleEqual(self.bufshr2.nbr_dists[de.FIL], (1, 1))
self.assertTupleEqual(self.bufshr2.nbr_dists[de.IFM], (15, 15))
self.assertTupleEqual(self.bufshr2.nbr_dists[de.OFM], (inf, inf))
self.assertTupleEqual(self.bufshr3.nbr_dists[de.FIL], (3, 5))
self.assertTupleEqual(self.bufshr3.nbr_dists[de.IFM], (inf, 10))
self.assertTupleEqual(self.bufshr3.nbr_dists[de.OFM], (1, 1))
def test_default_data_loops(self):
''' Default data_loops in constructor. '''
data_loops = [None] * de.NUM
data_loops[de.FIL] = DataDimLoops(le.IFM, le.OFM)
data_loops[de.IFM] = DataDimLoops(le.IFM, le.BAT)
data_loops[de.OFM] = DataDimLoops(le.OFM, le.BAT)
for bufshr, nr, ps in zip([self.bufshr1, self.bufshr2, self.bufshr3],
[self.nr1, self.nr2, self.nr3],
[self.ps1, self.ps2, self.ps3]):
bufshr_ = BufShrScheme(nr, ps, data_loops)
for dce in range(de.NUM):
self.assertTupleEqual(bufshr.dim(dce), bufshr_.dim(dce))
self.assertTupleEqual(bufshr.nbr_dists[dce],
bufshr_.nbr_dists[dce])
def test_data_loops(self):
''' data_loops in constructor. '''
data_loops = [None] * de.NUM
data_loops[de.FIL] = DataDimLoops(le.IFM, le.OFM)
data_loops[de.IFM] = DataDimLoops(le.OFM, le.BAT)
data_loops[de.OFM] = DataDimLoops(le.OFM, le.BAT)
for nr, ps in zip([self.nr1, self.nr2, self.nr3],
[self.ps1, self.ps2, self.ps3]):
bufshr = BufShrScheme(nr, ps, data_loops)
self.assertTupleEqual(bufshr.dim(de.IFM), bufshr.dim(de.OFM))
self.assertTupleEqual(bufshr.nbr_dists[de.IFM],
bufshr.nbr_dists[de.OFM])
def test_data_loops_all_lpe(self):
''' data_loops in constructor have all LoopEnum. '''
data_loops = [None] * de.NUM
data_loops[de.FIL] = DataDimLoops(le.IFM, le.OFM)
data_loops[de.IFM] = DataDimLoops(le.IFM, le.OFM, le.BAT)
data_loops[de.OFM] = DataDimLoops(le.OFM, le.BAT)
bufshr = BufShrScheme(self.nr1, self.ps1, data_loops)
self.assertTupleEqual(bufshr.dim(de.IFM), (1, 1))
self.assertTrue(all(math.isinf(d) for d in bufshr.nbr_dists[de.IFM]))
def test_mismatch_node_region(self):
''' Mismatched node region and part in constructor. '''
# Smaller node region. Invalid.
with self.assertRaisesRegexp(ValueError, 'BufShrScheme: .*region.*'):
_ = BufShrScheme(
NodeRegion(origin=PhyDim2(0, 0),
dim=PhyDim2(1, 1),
type=NodeRegion.PROC), self.ps1)
# Larger node region. Valid.
bufshr = BufShrScheme(
NodeRegion(origin=PhyDim2(0, 0),
dim=PhyDim2(100, 100),
type=NodeRegion.PROC), self.ps1)
self.assertTupleEqual(bufshr.dim(de.IFM), self.ps1.dim(pe.OUTP))
def test_nhops_rotate_all(self):
''' Get nhops_rotate_all. '''
# With `self.bufshr3` and FIL, the dimension is 4 by 2, with neighbor
# distances 3 and 5.
bufshr = self.bufshr3
dce = de.FIL
self.assertTupleEqual(bufshr.dim(dce), (4, 2))
self.assertTupleEqual(bufshr.nbr_dists[dce], (3, 5))
# Subgroup as 4 by 2. The whole circle is six hops of 3 and two hops of
# 5, but only 7 of 8 steps.
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 8),
(3 * 6 + 5 * 2) * 7 / 8.)
# Subgroup as 4 by 1. One node does three hops of 3, and other three
# nodes do two hops of 3 and one hop of 9 (looping back).
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 4),
((3 * 3) + (3 * 2 + 9) * 3) / 4. * 2)
# Subgroup as 2 by 1. All nodes do one hop of 3.
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 2),
(3 + 3) / 2. * 4)
# Subgroup as 1. No rotation.
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 1), 0)
# Subgroup as 4 by 1. One node does two hops of 3 and two do one hop of
# 3 and 6 each. The 3rd node also sends to the 4th one with two hops of
# 3.
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 3),
((3 * 2) + (3 + 6) * 2 + (3 * 2)) / 3. * 2)
# Subgroup as 4 by 2. The 1st node does three hops of 3 and one hop of
# 5. The 2nd, 3rd, and 4th nodes do two hops of 3, and one hop of 5,
# and one looping back from the 5th node to the 1st node. The 5th node
# does one looping back and three hops of 3. Finally, the 5th node also
# sends to the 6th to 8th nodes.
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 5),
((3 * 3 + 5) + (3 * 2 + 5 + (3 * 3 + 5)) * 3 +
((3 * 3 + 5) + 3 * 3) + 3 * 3 * 4) / 5.)
# The others are similar.
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 6),
((3 * 4 + 5) + (3 * 3 + 5 + (3 * 2 + 5)) * 4 +
((3 * 2 + 5) + 3 * 4) + 3 * 2 * 5) / 6.)
self.assertAlmostEqual(bufshr.nhops_rotate_all(dce, 7),
((3 * 5 + 5) + (3 * 4 + 5 + (3 * 1 + 5)) * 5 +
((3 * 1 + 5) + 3 * 5) + 3 * 1 * 6) / 7.)
def test_nhops_rotate_all_invalid(self):
''' Get nhops_rotate_all with invalid args. '''
with self.assertRaisesRegexp(ValueError, 'BufShrScheme: .*subgroup.*'):
_ = self.bufshr3.nhops_rotate_all(de.FIL,
self.bufshr3.size(de.FIL) + 1)
def test_nhops_rotate_all_rot_unit(self):
''' Get nhops_rotate_all with rotation unit count. '''
bufshr = self.bufshr3
dce = de.FIL
self.assertTupleEqual(bufshr.dim(dce), (4, 2))
for subgrp_size in range(1, bufshr.size(dce)):
nhops = bufshr.nhops_rotate_all(dce, subgrp_size)
for rotation_unit_cnt in range(subgrp_size, 32):
self.assertEqual(
bufshr.nhops_rotate_all(dce, subgrp_size,
rotation_unit_cnt), nhops)
for rotation_unit_cnt in range(1, subgrp_size):
self.assertLess(
bufshr.nhops_rotate_all(dce, subgrp_size,
rotation_unit_cnt), nhops)
def test_nhops_rotate_all_cache(self):
''' Get nhops_rotate_all using cache. '''
bufshr = self.bufshr3
dce = de.FIL
self.assertFalse(bufshr.nhops_cache)
nhops_8 = bufshr.nhops_rotate_all(dce, 8)
nhops_4 = bufshr.nhops_rotate_all(dce, 4)
nhops_1 = bufshr.nhops_rotate_all(dce, 1)
self.assertEqual(len(bufshr.nhops_cache), 3)
self.assertEqual(nhops_8, bufshr.nhops_rotate_all(dce, 8))
self.assertEqual(nhops_4, bufshr.nhops_rotate_all(dce, 4))
self.assertEqual(nhops_1, bufshr.nhops_rotate_all(dce, 1))
self.assertEqual(len(bufshr.nhops_cache), 3)
dce = de.IFM
nhops_3 = bufshr.nhops_rotate_all(dce, 3)
nhops_2 = bufshr.nhops_rotate_all(dce, 2)
self.assertEqual(len(bufshr.nhops_cache), 5)
self.assertEqual(nhops_3, bufshr.nhops_rotate_all(dce, 3))
self.assertEqual(nhops_2, bufshr.nhops_rotate_all(dce, 2))
self.assertEqual(len(bufshr.nhops_cache), 5)
nhops_rot_unit = bufshr.nhops_rotate_all(dce, 3, 2)
self.assertEqual(len(bufshr.nhops_cache), 6)
self.assertEqual(nhops_rot_unit, bufshr.nhops_rotate_all(dce, 3, 2))
self.assertEqual(len(bufshr.nhops_cache), 6)
def test_nhops_wide_fetch_once(self):
''' Get nhops_wide_fetch_once. '''
# With `self.bufshr3` and FIL, the dimension is 4 by 2, with neighbor
# distances 3 and 5.
bufshr = self.bufshr3
dce = de.FIL
self.assertTupleEqual(bufshr.dim(dce), (4, 2))
self.assertTupleEqual(bufshr.nbr_dists[dce], (3, 5))
for subgrp_size in range(bufshr.size(dce)):
self.assertAlmostEqual(
bufshr.nhops_wide_fetch_once(dce, subgrp_size, 1), 0)
# Three nodes fetch one hop of 3, and the last node fetches one hop of
# 9 (looping back).
self.assertAlmostEqual(
bufshr.nhops_wide_fetch_once(dce, 4, 2) * 2, (3 * 3 + 9) / 4. * 2)
# Two nodes fetch one hop of 3, and the 3rd node fetches one hop of 6
# (looping back). The last node fetches one hop of 3 from the 3rd.
self.assertAlmostEqual(
bufshr.nhops_wide_fetch_once(dce, 3, 2) * 2,
(3 * 2 + 6 + 3) / 3. * 2)
# All nodes do one hop of 3.
self.assertAlmostEqual(
bufshr.nhops_wide_fetch_once(dce, 2, 2) * 2, (3 + 3) / 2. * 4)
for subgrp_size in range(2, bufshr.size(dce)):
self.assertAlmostEqual(
bufshr.nhops_wide_fetch_once(dce, subgrp_size, 1.5) * 1.5,
bufshr.nhops_wide_fetch_once(dce, subgrp_size, 2) * 2. / 2.)
def test_nhops_wide_fetch_once_inv(self):
''' Get nhops_wide_fetch_once with invalid args. '''
with self.assertRaisesRegexp(ValueError, 'BufShrScheme: .*subgroup.*'):
_ = self.bufshr3.nhops_wide_fetch_once(
de.FIL,
self.bufshr3.size(de.FIL) + 1, 2)
with self.assertRaisesRegexp(ValueError, 'BufShrScheme: .*width.*'):
_ = self.bufshr3.nhops_wide_fetch_once(
de.FIL,
self.bufshr3.size(de.FIL) / 2,
self.bufshr3.size(de.FIL) / 2 + 1)
def test_repr(self):
''' __repr__. '''
self.assertIn(repr(self.ps1), repr(self.bufshr1))
self.assertIn(repr(self.ps2), repr(self.bufshr2))
self.assertIn(repr(self.ps3), repr(self.bufshr3))
