def scan_or_adjust_delay_random(self,
low_delay,
high_delay,
use_dq,
use_odelay,
ends_dist,
min_diff,
adjust,
verbose):
"""
Scan or adjust delays using random data write+read
<low_delay> Low delay value to tru
<high_delay> high delay value to try
<use_dq> 0 - scan dqs, 1 - scan dq (common value, post-adjustment)
<use_odelay> 0 - use input delays, 1 - use output delays
<ends_dist> do not process if one of the primary interval ends is within this from 0.0 or 1.0
<min_diff> minimal difference between primary delay steps to process
<adjust> 0 - scan, 1 - adjust
<verbose>: verbose mode (more prints)
Returns list of calculated delay values
"""
checkIntArgs(('low_delay','high_delay'),locals())
brc=(5, # 3'h5, # bank
0x1234, # 15'h1234, # row address
0x100) # 10'h100 # column address
# global BASEADDR_PORT1_WR,VERBOSE;
# saved_verbose=VERBOSE;
# VERBOSE=False;
low = split_delay(low_delay)
high = split_delay(high_delay)
rand16=[]
for i in range(512):
rand16.append(random.randint(0,65535))
wdata=convert_mem16_to_w32(rand16)
if (verbose and not adjust): print("rand16:")
for i in range(len(rand16)):
if (i & 0x1f) == 0:
if (verbose and not adjust): print("\n%03x:"%i,end=" ")
if (verbose and not adjust): print("%04x"%rand16[i],end=" ")
if (verbose and not adjust): print("\n")
if (verbose and not adjust): print("wdata:")
for i in range(len(wdata)):
if (i & 0xf) == 0:
if (verbose and not adjust): print("\n%03x:"%i,end=" ")
if (verbose and not adjust): print("%08x"%wdata[i],end=" ")
if (verbose and not adjust): print("\n")
bit_type=[] # does not include first and last elements
for i in range(1,511):
types=[]
for j in range(16):
types.append((((rand16[i-1]>>j) & 1)<<2) | (((rand16[i ]>>j) & 1)<<1) | (((rand16[i+1]>>j) & 1)))
bit_type.append(types)
# if (verbose and not adjust): print ("i=%d",i)
# if (verbose and not adjust): print(types)
# total_types=[[0]*8]*16 # number of times each type occurred in the block for each DQ bit (separate for DG up/down?)
total_types=[] # number of times each type occurred in the block for each DQ bit (separate for DG up/down?)
for i in range(16): total_types.append([0]*8)
for typ in bit_type:
# if (verbose and not adjust): print(typ)
for j in range(16):
# total_types[j][typ[j]]+=1
total_types[j][typ[j]]=total_types[j][typ[j]]+1
if (verbose and not adjust): print("\ntotal_types:")
if (verbose and not adjust): print (total_types)
avg_types=[0.0]*8
N=0
for t in total_types:
for j,n in enumerate(t):
avg_types[j]+=n
N+=n
for i in range(len(avg_types)):
avg_types[i]/=N
if (verbose and not adjust): print("\avg_types:")
if (verbose and not adjust): print (avg_types)
#write blok buffer with 256x32bit data
self.x393_mcntrl_buffers.write_block_buf_chn(0,0,wdata); # fill block memory (channel, page, number)
self.x393_pio_sequences.set_write_block(*brc) #64 8-bursts, 1 extra DQ/DQS/ active cycle
self.x393_pio_sequences.set_read_block(*brc)
if (use_odelay==0) :
self.x393_pio_sequences.write_block(0,1) # Wait for operation to complete
if verbose: print("++++++++ block written once")
#now scanning - first DQS, then try with DQ (post-adjustment - best fit)
results = []
if verbose: print("******** use_odelay=%d use_dq=%d"%(use_odelay,use_dq))
alreadyWarned=False
for dly in range (low, high+1):
enc_dly=combine_delay(dly)
if (use_odelay!=0):
if (use_dq!=0):
if verbose: print("******** axi_set_dq_odelay(0x%x)"%enc_dly)
self.x393_mcntrl_timing.axi_set_dq_odelay(enc_dly) # set the same odelay for all DQ bits
else:
if verbose: print("******** axi_set_dqs_odelay(0x%x)"%enc_dly)
self.x393_mcntrl_timing.axi_set_dqs_odelay(enc_dly)
self.x393_pio_sequences.write_block(0,1) # Wait for operation to complete
if verbose: print("-------- block written AGAIN")
else:
if (use_dq!=0):
if verbose: print("******** axi_set_dq_idelay(0x%x)"%enc_dly)
self.x393_mcntrl_timing.axi_set_dq_idelay(enc_dly)# set the same idelay for all DQ bits
else:
if verbose: print("******** axi_set_dqs_idelay(0x%x)"%enc_dly)
self.x393_mcntrl_timing.axi_set_dqs_idelay(enc_dly)
buf32=self.x393_pio_sequences.read_block(
256, # num,
0, # show_rslt,
1) # Wait for operation to complete
if self.bad_data(buf32):
results.append([])
else:
# Warn about possible missing DQS pulses during writes
alreadyWarned |= self.missing_dqs(buf32, alreadyWarned)
read16=convert_w32_to_mem16(buf32) # 512x16 bit, same as DDR3 DQ over time
if verbose and (dly==low):
if (verbose and not adjust): print("buf32:")
for i in range(len(buf32)):
if (i & 0xf) == 0:
if (verbose and not adjust): print("\n%03x:"%i,end=" ")
if (verbose and not adjust): print("%08x"%buf32[i],end=" ")
if (verbose and not adjust): print("\n")
if (verbose and not adjust): print("read16:")
for i in range(len(read16)):
if (i & 0x1f) == 0:
if (verbose and not adjust): print("\n%03x:"%i,end=" ")
if (verbose and not adjust): print("%04x"%read16[i],end=" ")
if (verbose and not adjust): print("\n")
data=[] # number of times each type occurred in the block for each DQ bit (separate for DG up/down?)
for i in range(16):
data.append([0]*8)
for i in range (1,511):
w= read16[i]
typ=bit_type[i-1] # first and last words are not used, no type was calculated
for j in range(16):
if (w & (1<<j)) !=0:
data[j][typ[j]]+=1
for i in range(16):
for t in range(8):
if (total_types[i][t] >0 ):
data[i][t]*=1.0/total_types[i][t]
results.append(data)
if (verbose and not adjust): print ("%3d (0x%02x): "%(dly,enc_dly),end="")
for i in range(16):
if (verbose and not adjust): print("[",end="")
for j in range(8):
if (verbose and not adjust): print("%3d"%(round(100.0*data[i][j])),end=" ")
if (verbose and not adjust): print("]",end=" ")
if (verbose and not adjust): print()
titles=["'000","'001","'010", "'011","'100","'101","'110","'111"]
#calculate weighted averages
#TODO: for DQ scan shift individual bits for the best match
if use_dq:
if (verbose and not adjust): print("TODO: shift individual bits for the best match before averaging")
res_avg=[]
for dly in range (len(results)):
if (len(results[dly])>0):
data=results[dly]
avg=[0.0]*8
for t in range(8):
weight=0;
d=0.0
for i in range(16):
weight+=total_types[i][t]
d+=total_types[i][t]*data[i][t]
if (weight>0):
d/=weight
avg[t] = d
res_avg.append(avg)
else:
res_avg.append([])
corr_fine=self.calibrate_finedelay(
low, # absolute delay value of start scan
avg_types, # weights of weach of the 8 bit sequences
res_avg, # averaged eye data tablle, each line has 8 elements, or [] for bad measurements
ends_dist/256.0, # ends_dist, # do not process if one of the primary interval ends is within this from 0.0 or 1.0
min_diff/256.0) #min_diff): # minimal difference between primary delay steps to process
period=len(corr_fine)
if (not adjust):
print("\n\n\n========== Copy below to the spreadsheet, use columns from corr_delay ==========")
print("========== First are individual results for each bit, then averaged eye pattern ==========")
print ("delay corr_delay",end=" ")
for t in range(8):
for i in range(16):
if (not adjust): print("%02d:%s"%(i,titles[t]),end=" ")
print()
for index in range (len(results)):
if (len(results[index])>0):
dly=index+low
corr_dly=dly+corr_fine[dly%period]
print ("%d %.2f"%(dly,corr_dly),end=" ")
for t in range(8):
for i in range(16):
try:
print("%.4f"%(results[dly][i][t]),end=" ") #IndexError: list index out of range
except:
print(".????",end="")
print()
print("\n\n\n========== Copy below to the spreadsheet, use columns from corr_delay ==========")
print("========== data above can be used for the individual bits eye patterns ==========")
print ("delay corr_delay",end=" ")
for t in range(8):
print(titles[t],end=" ")
print()
for index in range (len(res_avg)):
if (len(res_avg[index])>0):
dly=index+low
corr_dly=dly+corr_fine[dly%period]
print ("%d %.2f"%(dly,corr_dly),end=" ")
for t in range(8):
try:
print("%.4f"%(res_avg[dly][t]),end=" ")
except:
print(".????",end=" ")
print()
dly_corr=None
if adjust:
dly_corr=self.corr_delays(
low, # absolute delay value of start scan
avg_types, # weights of weach of the 8 bit sequences
results, #individual per-bit results
res_avg, # averaged eye data tablle, each line has 8 elements, or [] for bad measurements
corr_fine, # fine delay correction
ends_dist/256.0, # find where all bits are above/below that distance from 0.0/1.0margin
verbose)
# VERBOSE=verbose
# print ("VERBOSE=",VERBOSE)
print ("dly_corr=",dly_corr)
print ("use_dq=",use_dq)
if dly_corr and use_dq: # only adjusting DQ delays, not DQS
dly_comb=combine_delay(dly_corr)
if use_odelay:
self.x393_mcntrl_timing.axi_set_dq_odelay((dly_comb[0:8],dly_comb[8:16]))
"""
for i in range (8):
axi_set_dly_single(0,i,combine_delay(dly_corr[i]))
for i in range (8):
axi_set_dly_single(2,i,combine_delay(dly_corr[i+8]))
"""
else:
self.x393_mcntrl_timing.axi_set_dq_idelay((dly_comb[0:8],dly_comb[8:16]))
"""
for i in range (8):
axi_set_dly_single(1,i,combine_delay(dly_corr[i]))
for i in range (8):
axi_set_dly_single(3,i,combine_delay(dly_corr[i+8]))
"""
# use_dq, # 0 - scan dqs, 1 - scan dq (common valuwe, post-adjustment)
# use_odelay,
# VEBOSE=saved_verbose
return dly_corr
def adjust_dq_idelay(self,
low_delay,
high_delay,
num=8,
sel=1, # 0 - early, 1 - late read command (shift by a SDCLK period)
falling=0, # 0 - use rising as delay increases, 1 - use falling
smooth=10,
quiet=2):
"""
Adjust individual per-line DQ delays using read pattern mode
DQS idelay(s) should be set 90-degrees from the final values
<low_delay> low delay value (in 'hardware' format, sparse)
<high_delay> high delay value (in 'hardware' format, sparse)
<num> number of 64-bit words to process
<sel> 0 - early, 1 - late read command (shift by a SDCLK period)
<falling> 0 - use rising edge as delay increases, 1 - use falling one
In 'falling' mode results are the longest DQ idelay
when bits switch from correct to incorrect,
In 'rising' mode (falling==0) - the shortest one
<smooth> number of times to run LPF
<quiet> less output
Returns: list of 16 per-line delay values (sequential, not 'hardware')
"""
checkIntArgs(('low_delay','high_delay','num'),locals())
low = split_delay(low_delay)
data_raw=self.scan_dq_idelay(low_delay,high_delay,num,sel,quiet)
data=[]
delays=[]
for i,d in enumerate(data_raw):
if len(d)>0:
data.append(d)
delays.append(i+low)
if (quiet<2):
print(delays)
centerRaw=num*2.0# center value
uncert=[] #"uncertanty of read for each bit and even/odd words. list of 32-element lists, each positive in the [0,1] interval
rate=[] # data change rate
lm1=len(data)-1
for i in range (0,len(data)):
im1=(0, i-1)[i>0]
ip1=(lm1,i+1)[i<lm1]
r_uncert=[]
r_rate=[]
for j in range (32):
d=0.5*data[i][j]+0.25*(data[ip1][j]+data[im1][j])
r=data[im1][j]-data[ip1][j]
if (j>=16):
r=-r
r_uncert.append(1.0-((d-centerRaw)/centerRaw)**2) #0 and max -> 0, center ->1.0
r_rate.append(r/(2.0*centerRaw))
uncert.append(r_uncert)
rate.append(r_rate)
# print ("%d %s"%(i,str(r_uncert)))
for _ in range(smooth):
uncert=smooth2d(uncert)
for _ in range(smooth):
rate= smooth2d(rate)
val=[] # list of 16-element rows of composite uncert*rate values, multiplied for odd/even values, hoping not to have
# any bumps causes by asymmetry 0->1 and 1-->0
for i in range (0,len(data)):
r_val=[]
for j in range(16):
sign=(-1,1)[rate[i][j]>0]
rr=rate[i][j]*rate[i][j+16]
# if falling:
# sign=-sign
if rr<0:
sign=0 # different slope direction - ignore
r_val.append(sign * rr * uncert[i][j] * uncert[i][j+16])
val.append(r_val)
best_dlys=[None]*16
best_diffs=[None]*16
for i in range (len(val)):
for j in range (16):
v=val[i][j]
if falling:
v=-v
if (best_dlys[j] is None) or (v>best_diffs[j]):
best_dlys[j]= i+1
best_diffs[j]= v
if quiet <2:
for i in range (len(data)):
print("%d "%(i),end="")
for j in range (32):
print("%f "%uncert[i][j],end="")
for j in range (32):
print("%f "%rate[i][j],end="")
for j in range (16):
print("%f "%(val[i][j]),end="")
print()
for i in range (16):
print("%2d: %3d (0x%02x)"%(i,best_dlys[i],combine_delay(best_dlys[i])))
comb_delays=combine_delay(best_dlys)
self.x393_mcntrl_timing.axi_set_dq_idelay((comb_delays[0:8],comb_delays[8:16]))
return best_dlys
def scan_dq_idelay(self,
low_delay,
high_delay,
num=8,
sel=1,# 0 - early, 1 - late read command (shift by a SDCLK period)
quiet=2 ):
"""
Scan DQ input delay values using pattern read mode
<low_delay> low delay value (in 'hardware' format, sparse)
<high_delay> high delay value (in 'hardware' format, sparse)
<num> number of 64-bit words to process
<sel> 0 - early, 1 - late read command (shift by a SDCLK period)
<quiet> less output
"""
checkIntArgs(('low_delay','high_delay','num'),locals())
self.x393_pio_sequences.set_read_pattern(num+1,sel) # do not use first/last pair of the 32 bit words
low = split_delay(low_delay)
high = split_delay(high_delay)
results = []
for dly in range (low, high+1):
enc_dly=combine_delay(dly)
self.x393_mcntrl_timing.axi_set_dq_idelay(enc_dly) # same value to all DQ lines
buf= self.x393_pio_sequences.read_pattern(
(4*num+2), # num,
0, # show_rslt,
1) # Wait for operation to complete
if not quiet:
hbuf=[]
for dd in buf:
hbuf.append(hex(dd))
print(hbuf)
# with "good" data each word in buf should be 0xff00ff00
if self.bad_data(buf):
results.append([])
else:
data=[0]*32 # for each bit - even, then for all - odd
for w in range (4*num): # read 32-bit word number
lane=w%2 # even words - lane 0, odd - lane 1
for wb in range(32):
g=(wb/8)%2
b=wb%8+lane*8+16*g
if (buf[w+2] & (1<<wb) != 0):# buf[w+2] - skip first 2 words
data[b]+=1
results.append(data)
#When all correct, data[:16] should be all 0, data[16:] - maximal, (with num=8 - 32)
if not quiet:
print ("%3d (0x%02x): "%(dly,enc_dly),end="")
for i in range(32):
print("%5x"%data[i],end="")
print()
if quiet <2:
for index in range (len(results)):
dly=index+low
enc_dly=combine_delay(dly)
if (len (results[index])>0):
print ("%3d (0x%02x): "%(dly,enc_dly),end="")
for i in range(32):
print("%5x"%results[index][i],end="")
print()
print()
if quiet <3:
print()
print ("Delay",end=" ")
for i in range(16):
print ("Bit%dP"%i,end=" ")
for i in range(16):
print ("Bit%dM"%i,end=" ")
print()
for index in range (len(results)):
dly=index+low
enc_dly=combine_delay(dly)
if (len (results[index])>0):
print ("%d"%(dly),end=" ")
for i in range(32):
print("%d"%results[index][i],end=" ")
print()
print()
return results
def scan_or_adjust_delay_random(self, low_delay, high_delay, use_dq,
use_odelay, ends_dist, min_diff, adjust,
verbose):
"""
Scan or adjust delays using random data write+read
<low_delay> Low delay value to tru
<high_delay> high delay value to try
<use_dq> 0 - scan dqs, 1 - scan dq (common value, post-adjustment)
<use_odelay> 0 - use input delays, 1 - use output delays
<ends_dist> do not process if one of the primary interval ends is within this from 0.0 or 1.0
<min_diff> minimal difference between primary delay steps to process
<adjust> 0 - scan, 1 - adjust
<verbose>: verbose mode (more prints)
Returns list of calculated delay values
"""
checkIntArgs(('low_delay', 'high_delay'), locals())
brc = (
5, # 3'h5, # bank
0x1234, # 15'h1234, # row address
0x100) # 10'h100 # column address
# global BASEADDR_PORT1_WR,VERBOSE;
# saved_verbose=VERBOSE;
# VERBOSE=False;
low = split_delay(low_delay)
high = split_delay(high_delay)
rand16 = []
for i in range(512):
rand16.append(random.randint(0, 65535))
wdata = convert_mem16_to_w32(rand16)
if (verbose and not adjust): print("rand16:")
for i in range(len(rand16)):
if (i & 0x1f) == 0:
if (verbose and not adjust): print("\n%03x:" % i, end=" ")
if (verbose and not adjust): print("%04x" % rand16[i], end=" ")
if (verbose and not adjust): print("\n")
if (verbose and not adjust): print("wdata:")
for i in range(len(wdata)):
if (i & 0xf) == 0:
if (verbose and not adjust): print("\n%03x:" % i, end=" ")
if (verbose and not adjust): print("%08x" % wdata[i], end=" ")
if (verbose and not adjust): print("\n")
bit_type = [] # does not include first and last elements
for i in range(1, 511):
types = []
for j in range(16):
types.append((((rand16[i - 1] >> j) & 1) << 2)
| (((rand16[i] >> j) & 1) << 1)
| (((rand16[i + 1] >> j) & 1)))
bit_type.append(types)
# if (verbose and not adjust): print ("i=%d",i)
# if (verbose and not adjust): print(types)
# total_types=[[0]*8]*16 # number of times each type occurred in the block for each DQ bit (separate for DG up/down?)
total_types = [
] # number of times each type occurred in the block for each DQ bit (separate for DG up/down?)
for i in range(16):
total_types.append([0] * 8)
for typ in bit_type:
# if (verbose and not adjust): print(typ)
for j in range(16):
# total_types[j][typ[j]]+=1
total_types[j][typ[j]] = total_types[j][typ[j]] + 1
if (verbose and not adjust): print("\ntotal_types:")
if (verbose and not adjust): print(total_types)
avg_types = [0.0] * 8
N = 0
for t in total_types:
for j, n in enumerate(t):
avg_types[j] += n
N += n
for i in range(len(avg_types)):
avg_types[i] /= N
if (verbose and not adjust): print("\avg_types:")
if (verbose and not adjust): print(avg_types)
#write blok buffer with 256x32bit data
self.x393_mcntrl_buffers.write_block_buf_chn(0, 0, wdata)
# fill block memory (channel, page, number)
self.x393_pio_sequences.set_write_block(
*brc) #64 8-bursts, 1 extra DQ/DQS/ active cycle
self.x393_pio_sequences.set_read_block(*brc)
if (use_odelay == 0):
self.x393_pio_sequences.write_block(
0, 1) # Wait for operation to complete
if verbose: print("++++++++ block written once")
#now scanning - first DQS, then try with DQ (post-adjustment - best fit)
results = []
if verbose:
print("******** use_odelay=%d use_dq=%d" % (use_odelay, use_dq))
alreadyWarned = False
for dly in range(low, high + 1):
enc_dly = combine_delay(dly)
if (use_odelay != 0):
if (use_dq != 0):
if verbose:
print("******** axi_set_dq_odelay(0x%x)" % enc_dly)
self.x393_mcntrl_timing.axi_set_dq_odelay(
enc_dly) # set the same odelay for all DQ bits
else:
if verbose:
print("******** axi_set_dqs_odelay(0x%x)" % enc_dly)
self.x393_mcntrl_timing.axi_set_dqs_odelay(enc_dly)
self.x393_pio_sequences.write_block(
0, 1) # Wait for operation to complete
if verbose: print("-------- block written AGAIN")
else:
if (use_dq != 0):
if verbose:
print("******** axi_set_dq_idelay(0x%x)" % enc_dly)
self.x393_mcntrl_timing.axi_set_dq_idelay(
enc_dly) # set the same idelay for all DQ bits
else:
if verbose:
print("******** axi_set_dqs_idelay(0x%x)" % enc_dly)
self.x393_mcntrl_timing.axi_set_dqs_idelay(enc_dly)
buf32 = self.x393_pio_sequences.read_block(
256, # num,
0, # show_rslt,
1) # Wait for operation to complete
if self.bad_data(buf32):
results.append([])
else:
# Warn about possible missing DQS pulses during writes
alreadyWarned |= self.missing_dqs(buf32, alreadyWarned)
read16 = convert_w32_to_mem16(
buf32) # 512x16 bit, same as DDR3 DQ over time
if verbose and (dly == low):
if (verbose and not adjust): print("buf32:")
for i in range(len(buf32)):
if (i & 0xf) == 0:
if (verbose and not adjust):
print("\n%03x:" % i, end=" ")
if (verbose and not adjust):
print("%08x" % buf32[i], end=" ")
if (verbose and not adjust): print("\n")
if (verbose and not adjust): print("read16:")
for i in range(len(read16)):
if (i & 0x1f) == 0:
if (verbose and not adjust):
print("\n%03x:" % i, end=" ")
if (verbose and not adjust):
print("%04x" % read16[i], end=" ")
if (verbose and not adjust): print("\n")
data = [
] # number of times each type occurred in the block for each DQ bit (separate for DG up/down?)
for i in range(16):
data.append([0] * 8)
for i in range(1, 511):
w = read16[i]
typ = bit_type[
i -
1] # first and last words are not used, no type was calculated
for j in range(16):
if (w & (1 << j)) != 0:
data[j][typ[j]] += 1
for i in range(16):
for t in range(8):
if (total_types[i][t] > 0):
data[i][t] *= 1.0 / total_types[i][t]
results.append(data)
if (verbose and not adjust):
print("%3d (0x%02x): " % (dly, enc_dly), end="")
for i in range(16):
if (verbose and not adjust): print("[", end="")
for j in range(8):
if (verbose and not adjust):
print("%3d" % (round(100.0 * data[i][j])), end=" ")
if (verbose and not adjust): print("]", end=" ")
if (verbose and not adjust): print()
titles = [
"'000", "'001", "'010", "'011", "'100", "'101", "'110", "'111"
]
#calculate weighted averages
#TODO: for DQ scan shift individual bits for the best match
if use_dq:
if (verbose and not adjust):
print(
"TODO: shift individual bits for the best match before averaging"
)
res_avg = []
for dly in range(len(results)):
if (len(results[dly]) > 0):
data = results[dly]
avg = [0.0] * 8
for t in range(8):
weight = 0
d = 0.0
for i in range(16):
weight += total_types[i][t]
d += total_types[i][t] * data[i][t]
if (weight > 0):
d /= weight
avg[t] = d
res_avg.append(avg)
else:
res_avg.append([])
corr_fine = self.calibrate_finedelay(
low, # absolute delay value of start scan
avg_types, # weights of weach of the 8 bit sequences
res_avg, # averaged eye data tablle, each line has 8 elements, or [] for bad measurements
ends_dist /
256.0, # ends_dist, # do not process if one of the primary interval ends is within this from 0.0 or 1.0
min_diff / 256.0
) #min_diff): # minimal difference between primary delay steps to process
period = len(corr_fine)
if (not adjust):
print(
"\n\n\n========== Copy below to the spreadsheet, use columns from corr_delay =========="
)
print(
"========== First are individual results for each bit, then averaged eye pattern =========="
)
print("delay corr_delay", end=" ")
for t in range(8):
for i in range(16):
if (not adjust): print("%02d:%s" % (i, titles[t]), end=" ")
print()
for index in range(len(results)):
if (len(results[index]) > 0):
dly = index + low
corr_dly = dly + corr_fine[dly % period]
print("%d %.2f" % (dly, corr_dly), end=" ")
for t in range(8):
for i in range(16):
try:
print("%.4f" % (results[dly][i][t]), end=" "
) #IndexError: list index out of range
except:
print(".????", end="")
print()
print(
"\n\n\n========== Copy below to the spreadsheet, use columns from corr_delay =========="
)
print(
"========== data above can be used for the individual bits eye patterns =========="
)
print("delay corr_delay", end=" ")
for t in range(8):
print(titles[t], end=" ")
print()
for index in range(len(res_avg)):
if (len(res_avg[index]) > 0):
dly = index + low
corr_dly = dly + corr_fine[dly % period]
print("%d %.2f" % (dly, corr_dly), end=" ")
for t in range(8):
try:
print("%.4f" % (res_avg[dly][t]), end=" ")
except:
print(".????", end=" ")
print()
dly_corr = None
if adjust:
dly_corr = self.corr_delays(
low, # absolute delay value of start scan
avg_types, # weights of weach of the 8 bit sequences
results, #individual per-bit results
res_avg, # averaged eye data tablle, each line has 8 elements, or [] for bad measurements
corr_fine, # fine delay correction
ends_dist /
256.0, # find where all bits are above/below that distance from 0.0/1.0margin
verbose)
# VERBOSE=verbose
# print ("VERBOSE=",VERBOSE)
print("dly_corr=", dly_corr)
print("use_dq=", use_dq)
if dly_corr and use_dq: # only adjusting DQ delays, not DQS
dly_comb = combine_delay(dly_corr)
if use_odelay:
self.x393_mcntrl_timing.axi_set_dq_odelay(
(dly_comb[0:8], dly_comb[8:16]))
"""
for i in range (8):
axi_set_dly_single(0,i,combine_delay(dly_corr[i]))
for i in range (8):
axi_set_dly_single(2,i,combine_delay(dly_corr[i+8]))
"""
else:
self.x393_mcntrl_timing.axi_set_dq_idelay(
(dly_comb[0:8], dly_comb[8:16]))
"""
for i in range (8):
axi_set_dly_single(1,i,combine_delay(dly_corr[i]))
for i in range (8):
axi_set_dly_single(3,i,combine_delay(dly_corr[i+8]))
"""
# use_dq, # 0 - scan dqs, 1 - scan dq (common valuwe, post-adjustment)
# use_odelay,
# VEBOSE=saved_verbose
return dly_corr
def adjust_dq_idelay(
self,
low_delay,
high_delay,
num=8,
sel=1, # 0 - early, 1 - late read command (shift by a SDCLK period)
falling=0, # 0 - use rising as delay increases, 1 - use falling
smooth=10,
quiet=2):
"""
Adjust individual per-line DQ delays using read pattern mode
DQS idelay(s) should be set 90-degrees from the final values
<low_delay> low delay value (in 'hardware' format, sparse)
<high_delay> high delay value (in 'hardware' format, sparse)
<num> number of 64-bit words to process
<sel> 0 - early, 1 - late read command (shift by a SDCLK period)
<falling> 0 - use rising edge as delay increases, 1 - use falling one
In 'falling' mode results are the longest DQ idelay
when bits switch from correct to incorrect,
In 'rising' mode (falling==0) - the shortest one
<smooth> number of times to run LPF
<quiet> less output
Returns: list of 16 per-line delay values (sequential, not 'hardware')
"""
checkIntArgs(('low_delay', 'high_delay', 'num'), locals())
low = split_delay(low_delay)
data_raw = self.scan_dq_idelay(low_delay, high_delay, num, sel, quiet)
data = []
delays = []
for i, d in enumerate(data_raw):
if len(d) > 0:
data.append(d)
delays.append(i + low)
if (quiet < 2):
print(delays)
centerRaw = num * 2.0 # center value
uncert = [
] #"uncertanty of read for each bit and even/odd words. list of 32-element lists, each positive in the [0,1] interval
rate = [] # data change rate
lm1 = len(data) - 1
for i in range(0, len(data)):
im1 = (0, i - 1)[i > 0]
ip1 = (lm1, i + 1)[i < lm1]
r_uncert = []
r_rate = []
for j in range(32):
d = 0.5 * data[i][j] + 0.25 * (data[ip1][j] + data[im1][j])
r = data[im1][j] - data[ip1][j]
if (j >= 16):
r = -r
r_uncert.append(1.0 - ((d - centerRaw) / centerRaw)**
2) #0 and max -> 0, center ->1.0
r_rate.append(r / (2.0 * centerRaw))
uncert.append(r_uncert)
rate.append(r_rate)
# print ("%d %s"%(i,str(r_uncert)))
for _ in range(smooth):
uncert = smooth2d(uncert)
for _ in range(smooth):
rate = smooth2d(rate)
val = [
] # list of 16-element rows of composite uncert*rate values, multiplied for odd/even values, hoping not to have
# any bumps causes by asymmetry 0->1 and 1-->0
for i in range(0, len(data)):
r_val = []
for j in range(16):
sign = (-1, 1)[rate[i][j] > 0]
rr = rate[i][j] * rate[i][j + 16]
# if falling:
# sign=-sign
if rr < 0:
sign = 0 # different slope direction - ignore
r_val.append(sign * rr * uncert[i][j] * uncert[i][j + 16])
val.append(r_val)
best_dlys = [None] * 16
best_diffs = [None] * 16
for i in range(len(val)):
for j in range(16):
v = val[i][j]
if falling:
v = -v
if (best_dlys[j] is None) or (v > best_diffs[j]):
best_dlys[j] = i + 1
best_diffs[j] = v
if quiet < 2:
for i in range(len(data)):
print("%d " % (i), end="")
for j in range(32):
print("%f " % uncert[i][j], end="")
for j in range(32):
print("%f " % rate[i][j], end="")
for j in range(16):
print("%f " % (val[i][j]), end="")
print()
for i in range(16):
print("%2d: %3d (0x%02x)" %
(i, best_dlys[i], combine_delay(best_dlys[i])))
comb_delays = combine_delay(best_dlys)
self.x393_mcntrl_timing.axi_set_dq_idelay(
(comb_delays[0:8], comb_delays[8:16]))
return best_dlys
def scan_dq_idelay(
self,
low_delay,
high_delay,
num=8,
sel=1, # 0 - early, 1 - late read command (shift by a SDCLK period)
quiet=2):
"""
Scan DQ input delay values using pattern read mode
<low_delay> low delay value (in 'hardware' format, sparse)
<high_delay> high delay value (in 'hardware' format, sparse)
<num> number of 64-bit words to process
<sel> 0 - early, 1 - late read command (shift by a SDCLK period)
<quiet> less output
"""
checkIntArgs(('low_delay', 'high_delay', 'num'), locals())
self.x393_pio_sequences.set_read_pattern(
num + 1, sel) # do not use first/last pair of the 32 bit words
low = split_delay(low_delay)
high = split_delay(high_delay)
results = []
for dly in range(low, high + 1):
enc_dly = combine_delay(dly)
self.x393_mcntrl_timing.axi_set_dq_idelay(
enc_dly) # same value to all DQ lines
buf = self.x393_pio_sequences.read_pattern(
(4 * num + 2), # num,
0, # show_rslt,
1) # Wait for operation to complete
if not quiet:
hbuf = []
for dd in buf:
hbuf.append(hex(dd))
print(hbuf)
# with "good" data each word in buf should be 0xff00ff00
if self.bad_data(buf):
results.append([])
else:
data = [0] * 32 # for each bit - even, then for all - odd
for w in range(4 * num): # read 32-bit word number
lane = w % 2 # even words - lane 0, odd - lane 1
for wb in range(32):
g = (wb / 8) % 2
b = wb % 8 + lane * 8 + 16 * g
if (buf[w + 2] &
(1 << wb) != 0): # buf[w+2] - skip first 2 words
data[b] += 1
results.append(data)
#When all correct, data[:16] should be all 0, data[16:] - maximal, (with num=8 - 32)
if not quiet:
print("%3d (0x%02x): " % (dly, enc_dly), end="")
for i in range(32):
print("%5x" % data[i], end="")
print()
if quiet < 2:
for index in range(len(results)):
dly = index + low
enc_dly = combine_delay(dly)
if (len(results[index]) > 0):
print("%3d (0x%02x): " % (dly, enc_dly), end="")
for i in range(32):
print("%5x" % results[index][i], end="")
print()
print()
if quiet < 3:
print()
print("Delay", end=" ")
for i in range(16):
print("Bit%dP" % i, end=" ")
for i in range(16):
print("Bit%dM" % i, end=" ")
print()
for index in range(len(results)):
dly = index + low
enc_dly = combine_delay(dly)
if (len(results[index]) > 0):
print("%d" % (dly), end=" ")
for i in range(32):
print("%d" % results[index][i], end=" ")
print()
print()
return results