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Commit e6bc87ee authored by Andrey Filippov's avatar Andrey Filippov
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more porting dealy scan/adjust functionality from eddr3

parent aabad99e
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Showing with 667 additions and 12 deletions
py393/x393_mcntrl_adjust.py
View file @ e6bc87ee
......@@ -31,6 +31,7 @@ __status__ = "Development"
#import sys
#import x393_mem
#x393_pio_sequences
import random
from import_verilog_parameters import VerilogParameters
from x393_mem import X393Mem
from x393_axi_control_status import X393AxiControlStatus
......@@ -71,23 +72,38 @@ class X393McntrlAdjust(object):
def split_delay(self,dly):
"""
Convert hardware composite delay into continuous one
<dly> 8-bit (5+3) hardware delay value
Returns continuous delay value
<dly> 8-bit (5+3) hardware delay value (or a list of delays)
Returns continuous delay value (or a list of delays)
"""
global NUM_FINE_STEPS
if isinstance(dly,list) or isinstance(dly,tuple):
rslt=[]
for d in dly:
rslt.append(self.split_delay(d))
return rslt
try:
dly_int=dly>>3
dly_fine=dly & 0x7
if dly_fine > (NUM_FINE_STEPS-1):
dly_fine= NUM_FINE_STEPS-1
return dly_int*NUM_FINE_STEPS+dly_fine
except:
return None
def combine_delay(self,dly):
"""
Convert continuous delay value to the 5+3 bit encoded one
<dly> continuous (0..159) delay
Returns 8-bit (5+3) hardware delay value
<dly> continuous (0..159) delay (or a list of delays)
Returns 8-bit (5+3) hardware delay value (or a list of delays)
"""
if isinstance(dly,list) or isinstance(dly,tuple):
rslt=[]
for d in dly:
rslt.append(self.split_delay(d))
return rslt
try:
return ((dly/NUM_FINE_STEPS)<<3)+(dly%NUM_FINE_STEPS)
except:
return None
def bad_data(self,buf):
"""
......@@ -143,7 +159,7 @@ class X393McntrlAdjust(object):
high_delay,
num ):
"""
Scan DQS input delay values
Scan DQS input delay values using pattern read mode
<low_delay> low delay value
<high_delay> high delay value
<num> number of 64-bit words to process
......@@ -200,3 +216,642 @@ class X393McntrlAdjust(object):
print("%d"%results[index][i],end=" ")
print()
return results
def scan_dq_idelay(self,
low_delay,
high_delay,
num ):
"""
Scan DQ input delay values using pattern read mode
<low_delay> low delay value
<high_delay> high delay value
<num> number of 64-bit words to process
"""
self.x393_pio_sequences.set_read_pattern(num+1) # do not use first/last pair of the 32 bit words
low = self.split_delay(low_delay)
high = self.split_delay(high_delay)
results = []
for dly in range (low, high+1):
enc_dly=self.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(self,
(4*num+2), # num,
0, # show_rslt,
1) # Wait for operation to complete
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):
lane=w%2
for wb in range(32):
g=(wb/8)%2
b=wb%8+lane*8+16*g
if (buf[w+2] & (1<<wb) != 0):
data[b]+=1
results.append(data)
print ("%3d (0x%02x): "%(dly,enc_dly),end="")
for i in range(32):
print("%5x"%data[i],end="")
print()
for index in range (len(results)):
dly=index+low
enc_dly=self.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()
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=self.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 adjust_dq_idelay(self,
low_delay,
high_delay,
num,
falling ): # 0 - use rising as delay increases, 1 - use falling
"""
Adjust individual per-line DQ delays using read pattern mode
<low_delay> low delay value
<high_delay> high delay value
<num> number of 64-bit words to process
<falling> 0 - use rising edge as delay increases, 1 - use falling one
Returns: list of 16 per-line delay values
"""
low = self.split_delay(low_delay)
data_raw=self.scan_dq_idelay(low_delay,high_delay,num)
data=[]
delays=[]
for i,d in enumerate(data_raw):
if len(d)>0:
data.append(d)
delays.append(i+low)
print(delays)
best_dlys=[0]*16
best_diffs=[num*8.0]*16
for i in range (1,len(data)-1):
for j in range (16):
delta=abs(data[i][j] -data[i][j+16] + 0.5*(data[i-1][j] -data[i-1][j+16]+data[i+1][j] -data[i+1][j+16]))
sign=(data[i-1][j] -data[i-1][j+16]-data[i+1][j]+data[i+1][j+16])
if falling > 0: sign=-sign;
if (sign>0) and (delta < best_diffs[j]):
best_diffs[j]=delta
best_dlys[j]=delays[i]
for i in range (16):
print("%2d: %3d (0x%02x)"%(i,best_dlys[i],self.combine_delay(best_dlys[i])))
self.x393_mcntrl_timing.axi_set_dq_idelay((best_dlys[0:8],best_dlys[8:16]))
return best_dlys
"""
for i in range (8):
axi_set_dly_single(1,i,combine_delay(best_dlys[i]))
for i in range (8):
axi_set_dly_single(3,i,combine_delay(best_dlys[i+8]))
"""
def corr_delays(self,
low, # absolute delay value of start scan
avg_types, # weights of each of the 8 bit sequences
res_bits, # individual per-bit results
res_avg, # averaged eye data table, each line has 8 elements, or [] for bad measurements
corr_fine, # fine delay correction
ends_dist, # do not process if one of the primary interval ends is within this from 0.0 or 1.0
verbose
):
"""
Correct delays
<low> absolute delay value of start scan
<avg_types> weights of each of the 8 bit sequences
<res_bits> individual per-bit results
<res_avg> averaged eye data table, each line has 8 elements, or [] for bad measurements
<corr_fine> fine delay correction
<ends_dist> do not process if one of the primary interval ends is within this from 0.0 or 1.0
<verbose>
Returns list of corrected delays
"""
# coarse adjustments - decimate arrays to use the same (0) value of the fine delay
usable_types=[]
for i,w in enumerate(avg_types):
if (w>0) and not i in (0,7) :
usable_types.append(i)
if (verbose): print ("usable_types=",usable_types)
def thr_sign(bit,typ,limit,data):
# lim_l=limit
# lim_u=1.0-limit
if data[bit][typ] <= limit: return -1
if data[bit][typ] >= (1.0- limit): return 1
return 0
def thr_signs(typ,limit,data):
signs=""
for bit in range(15,-1,-1):
signs+=("-","0","+")[thr_sign(bit,typ,limit,data)+1]
def full_state(types,limit,data): #will NOT return None if any is undefined
state=""
for t in types:
for bit in range(15,-1,-1):
state+=("-","0","+")[thr_sign(bit,t,limit,data)+1]
return state
def full_same_state(types,limit,data): #will return None if any is undefined
state=""
for t in types:
s0=thr_sign(15,t,limit,data)
state+=("-","0","+")[s0+1]
for bit in range(15,-1,-1):
s=thr_sign(bit,t,limit,data)
if (not s) or (s != s0) :
return None
return state
def diff_state(state1,state2):
for i,s in enumerate(state1):
if s != state2[i]:
return True
return False
# start_index=0;
# if (low % NUM_FINE_STEPS) != 0:
# start_index=NUM_FINE_STEPS-(low % NUM_FINE_STEPS)
#find the first index where all bits are either above 1.0 -ends_dist or below ends_dist
for index in range(len(res_avg)):
print (" index=%d: %s"%(index,full_state(usable_types,ends_dist,res_bits[index])))
initial_state=full_same_state(usable_types,ends_dist,res_bits[index])
if initial_state:
break
else:
print ("Could not find delay value where all bits/types are outside of undefined area (%f thershold)"%ends_dist)
return None
if (verbose): print ("start index=%d, start state=%s"%(index,initial_state))
#find end of that state
for index in range(index+1,len(res_avg)):
state=full_same_state(usable_types,ends_dist,res_bits[index])
if state != initial_state:
break
else:
print ("Could not find delay value where initial state changes (%f thershold)"%ends_dist)
return None
last_initial_index=index-1
if (verbose): print ("last start state index=%d, new state=%s"%(last_initial_index,state))
#find new defined state for all bits
for index in range(last_initial_index+1,len(res_avg)): #here repeat last delay
new_state=full_same_state(usable_types,ends_dist,res_bits[index])
if new_state and (new_state != initial_state):
break
else:
print ("Could not find delay value whith the new defined state (%f thershold)"%ends_dist)
return None
new_state_index=index
if (verbose): print ("new defined state index=%d, new state=%s"%(new_state_index,new_state))
# remove states that do not have a transition
filtered_types=[]
for i,t in enumerate(usable_types):
if (new_state[i]!=initial_state[i]):
filtered_types.append(t)
if (verbose): print ("filtered_types=",filtered_types)
second_trans= 1 in filtered_types # use second transition, false - use first transition
if (verbose): print("second_trans=",second_trans)
# signs=((1,1,-1,-1),(1,-1,1,-1))[1 in filtered_types]
signs=((0,0,1,1,-1,-1,0,0),(0,1,-1,0,0,1,-1,0))[1 in filtered_types]
if (verbose): print("signs=",signs)
for index in range(last_initial_index,new_state_index+1):
if (verbose): print ("index=%3d, delay=%3d, state=%s"%(index,index+low,full_state(filtered_types,ends_dist,res_bits[index])))
#extend range, combine each bit and averages
ext_low_index=last_initial_index-(new_state_index-last_initial_index)
if ext_low_index<0:
ext_low_index=0
ext_high_index=new_state_index+(new_state_index-last_initial_index)
if ext_high_index>=len(res_bits):
ext_high_index=res_bits-1
if (verbose): print("ext_low_index=%d ext_high_index=%d"%(ext_low_index,ext_high_index))
bit_data=[]
for i in range(16):
bit_data.append([]) # [[]]*16 does not work! (shallow copy)
avg_data=[]
for index0 in range(ext_high_index-ext_low_index+1):
index=index0+ext_low_index
# if (verbose): print(res_bits[index])
bit_samples=[0.0]*16
avg_sample=0.0
weight=0.0
for t in filtered_types:
w=avg_types[t]
weight+=w
sw=signs[t]*w
avg_sample += sw * (2.0*res_avg[index][t]-1.0)
# if (verbose): print ("%3d %d:"%(index,t),end=" ")
for bit in range(16):
bit_samples[bit] += sw*(2.0*res_bits[index][bit][t]-1.0)
# if (verbose): print ("%.3f"%(res_bits[index][bit][t]),end=" ")
# if (verbose): print()
avg_sample /= weight
avg_data.append(avg_sample)
for bit in range(16):
bit_samples[bit] /= weight
# if (verbose): print ("bit_samples[%d]=%f"%(bit,bit_samples[bit]))
bit_data[bit].append(bit_samples[bit])
# if (verbose): print ("bit_samples=",bit_samples)
# if index0 <3:
# if (verbose): print ("bit_data=",bit_data)
# if (verbose): print ("\n\nbit_data=",bit_data)
period_fine=len(corr_fine)
for index in range(ext_high_index-ext_low_index+1):
dly=low+index+ext_low_index
corr_dly=dly+corr_fine[dly%period_fine]
if (verbose): print ("%d %d %.2f %.3f"%(index,dly,corr_dly,avg_data[index]),end=" ")
for bit in range(16):
if (verbose): print ("%.3f"%(bit_data[bit][index]),end=" ")
if (verbose): print()
# Seems all above was an overkill, just find bit delays that result in most close to 0
delays=[]
for bit in range(16):
best_dist=1.0
best_index=None
for index in range(ext_high_index-ext_low_index+1):
if (abs(bit_data[bit][index])<best_dist):
best_dist=abs(bit_data[bit][index])
best_index=index
delays.append(best_index+low+ext_low_index)
if (verbose): print (delays)
return delays
def calibrate_finedelay(self,
low, # absolute delay value of start scan
avg_types, # weights of each of the 8 bit sequences
res_avg, # averaged eye data tablle, each line has 8 elements, or [] for bad measurements
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
"""
Calibrate fine delay taps
<low> absolute delay value of start scan
<avg_types> weights of each of the 8 bit sequences
<res_avg> averaged eye data tablle, each line has 8 elements, or [] for bad measurements
<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
"""
start_index=0;
if (low % NUM_FINE_STEPS) != 0:
start_index=NUM_FINE_STEPS-(low % NUM_FINE_STEPS)
weights=[0.0]*( NUM_FINE_STEPS)
corr=[0.0]*( NUM_FINE_STEPS) #[0] will stay 0
for index in range(start_index, len(res_avg)-NUM_FINE_STEPS,NUM_FINE_STEPS):
if (len(res_avg[index])>0) and (len(res_avg[index+NUM_FINE_STEPS])>0):
for t,w in enumerate(avg_types):
if (w>0):
f=res_avg[index][t];
s=res_avg[index+NUM_FINE_STEPS][t];
# print ("index=%d t=%d f=%f s=%s"%(index,t,f,s))
if ((f>ends_dist) and (s>ends_dist) and
(f< (1-ends_dist)) and (s < (1-ends_dist)) and
(abs(s-f)>min_diff)):
diff=s-f
wd=w* diff*diff # squared? or use abs?
for j in range (1,NUM_FINE_STEPS):
if ( (len(res_avg[index+j])>0)):
v=res_avg[index+j][t];
#correction to the initila step==1
d=(v-f)/(s-f)*NUM_FINE_STEPS-j
#average
corr[j]+=wd*d
weights[j]+=wd
# print ("\n weights:")
# print(weights)
# print ("\n corr:")
# print(corr)
for i,w in enumerate(weights):
if (w>0) : corr[i]/=w # will skip 0
print ("\ncorr:")
# print(corr)
for i,c in enumerate(corr):
print ("%i %f"%(i,c))
return corr
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
"""
# global BASEADDR_PORT1_WR,VERBOSE;
# saved_verbose=VERBOSE;
# VERBOSE=False;
low = self.split_delay(low_delay)
high = self.split_delay(high_delay)
rand16=[]
for i in range(512):
rand16.append(random.randint(0,65535))
wdata=self.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(
5, # 3'h5, # bank
0x1234, # 15'h1234, # row address
0x100 # 10'h100 # column address
)
if (use_odelay==0) :
self.x393_pio_sequences.write_block(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))
for dly in range (low, high+1):
enc_dly=self.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(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(self,
256, # num,
0, # show_rslt,
1) # Wait for operation to complete
if self.bad_data(buf32):
results.append([])
else:
read16=self.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):
print("%.4f"%(results[dly][i][t]),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):
print("%.4f"%(res_avg[dly][t]),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=self.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 scan_delay_random(self,
low_delay,
high_delay,
use_dq, # 0 - scan dqs, 1 - scan dq (common valuwe, post-adjustment)
use_odelay, # 0 - idelay, 1 - odelay
ends_dist, # do not process if one of the primary interval ends is within this from 0.0 or 1.0
min_diff,
verbose): # minimal difference between primary delay steps to process
"""
Scan 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
<verbose>: verbose mode (more prints)
"""
self.scan_or_adjust_delay_random(
low_delay,
high_delay,
use_dq, # 0 - scan dqs, 1 - scan dq (common valuwe, post-adjustment)
use_odelay,
ends_dist, # do not process if one of the primary interval ends is within this from 0.0 or 1.0
min_diff,
False, #scan, not adjust
verbose) # minimal difference between primary delay steps to process
def adjust_dq_delay_random(self,
low_delay,
high_delay,
#use_dq, # 0 - scan dqs, 1 - scan dq (common valuwe, post-adjustment)
use_odelay,
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
verbose):
"""
Adjust delays using random data write+read
<low_delay> Low delay value to tru
<high_delay> high delay value to try
<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
<verbose>: verbose mode (more prints)
Returns list of delays
"""
return self.scan_or_adjust_delay_random(
low_delay,
high_delay,
1, #use_dq, # 0 - scan dqs, 1 - scan dq (common valuwe, post-adjustment)
use_odelay,
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
True, #adjust, not scan
verbose)
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