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Commit 9b43bdd6 authored by Andrey Filippov's avatar Andrey Filippov
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Cleaning up the code, adding provisions for multiple solutions for the same... 

Cleaning up the code, adding provisions for multiple solutions for the same phase - this will be the case at higher clock frequencies
parent 58881762
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Showing with 2301 additions and 670 deletions
py393/get_test_dq_dqs_data.py
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...@@ -892,6 +892,59 @@ def get_adjust_cmda_odelay(): ...@@ -892,6 +892,59 @@ def get_adjust_cmda_odelay():
'cmda_odly_a':-1.40105743313 'cmda_odly_a':-1.40105743313
} }
def get_wlev_dqs_delays(variant=0):
if variant ==0: # large step
return [[(130, None), (125, None)], [(133, 0.09375), (129, -0.75)], [(130, 0.5625), (128, -0.0625)], [(125, None), (125, 0.5)], [(129, -0.28125), (120, None)],
[(126, 0.375), (124, 0.3125)], [(125, 0.875), (121, 0.4375)], [(124, -0.8125), (115, None)], [(123, 0.375), (119, -0.96875)], [(120, 0.125), (119, 0.25)],
[(115, None), (115, 0.0)], [(119, 0.21875), (114, -0.96875)], [(115, -0.1875), (114, -0.5625)], [(115, 0.9375), (113, -0.03125)], [(114, -0.875), (105, None)],
[(112, 0.5625), (109, -0.84375)], [(110, 0.875), (107, 0.0)], [(109, -0.96875), (105, 0.8125)], [(107, 0.0), (104, -0.96875)], [(105, 0.625), (103, -0.5)],
[(100, None), (100, -0.3125)], [(102, -0.15625), (95, None)], [(100, 0.625), (99, 0.0625)], [(95, None), (96, 0.25)], [(99, -0.1875), (90, None)],
[(96, 0.5), (94, -0.90625)], [(95, 0.84375), (92, -0.0625)], [(90, None), (90, -0.125)], [(93, 0.375), (85, None)], [(90, 0.5), (89, -0.5)],
[(85, None), (86, 0.09375)], [(88, -0.3125), (80, None)], [(85, 0.5), (84, -0.78125)], [(80, None), (81, -0.09375)], [(84, -0.875), (80, 0.53125)],
[(80, 0.78125), (79, -0.1875)], [(75, None), (78, -0.1875)], [(75, None), (75, 0.0)], [(77, -0.46875), (70, None)], [(75, 0.75), (74, -0.28125)],
[(70, None), (70, -0.53125)], [(74, -0.6875), (70, 0.9375)], [(73, -0.25), (65, None)], [(70, 0.5), (69, -0.8125)], [(65, None), (68, 0.21875)],
[(69, -0.625), (65, 0.90625)], [(65, 0.0625), (60, None)], [(60, None), (61, 0.09375)], [(60, None), (60, 0.5)], [(55, None), (57, -0.5)],
[(55, None), (55, -0.25)], [(59, 0.28125), (50, None)], [(55, 0.125), (50, None)], [(50, None), (51, -0.28125)], [(50, None), (50, 0.84375)],
[(53, 0.25), (45, None)], [(45, None), (46, 0.0)], [(45, None), (45, 0.3125)], [(47, 0.1875), (40, None)], [(45, 0.78125), (44, -0.1875)],
[(40, None), (40, -0.1875)], [(44, 0.21875), (35, None)], [(41, 0.53125), (35, None)], [(35, None), (36, 0.375)], [(35, None), (35, 0.46875)],
[(38, 0.53125), (30, None)], [(35, 0.65625), (34, -0.96875)], [(30, None), (33, 0.03125)], [(30, None), (30, 0.4375)], [(33, 0.5), (25, None)],
[(25, None), (29, 0.125)], [(25, None), (26, 0.3125)], [(28, 0.5), (20, None)], [(25, 0.5625), (20, None)], [(20, None), (22, 0.03125)],
[(23, 0.5), (15, None)], [(20, 0.5), (15, None)], [(15, None), (17, 0.03125)], [(19, 0.5), (15, 0.0625)], [(16, 0.5), (10, None)],
[(10, None), (14, -0.96875)], [(10, None), (11, 0.03125)], [(13, 0.0625), (10, 0.5625)], [(11, 0.5), (5, None)], [(5, None), (7, -0.21875)],
[(9, -0.375), (5, 0.0)], [(6, 0.5), (0, None)], [(0, None), (2, -0.9375)], None, None, None, None, None, None, None, None, None, None, None, None,
[(150, None), (150, 0.5625)], [(153, -0.9375), (145, None)], [(151, 0.40625), (148, 0.03125)], [(145, None), (145, 0.15625)], [(145, None), (140, None)],
[(145, 0.9375), (140, 0.28125)], [(140, None), (135, None)], [(143, 0.25), (139, -0.4375)], [(140, 0.75), (136, 0.25)], [(135, None), (135, 0.9375)],
[(139, 0.75), (130, None)], [(136, 0.4375), (134, 0.53125)]]
elif variant == 1: #small step
return [[(134, -0.9375), (129, None)], [(133, 0.25), (129, -0.71875)], [(130, 0.46875), (128, 0.0)], [(129, None), (125, 0.6875)], [(129, 0.0), (124, None)],
[(125, -0.03125), (124, 0.125)], [(125, 0.84375), (121, 0.09375)], [(124, -0.53125), (119, None)], [(123, 0.3125), (119, None)], [(120, 0.46875), (119, 0.15625)],
[(119, None), (115, 0.0625)], [(119, 0.46875), (114, None)], [(115, 0.4375), (114, -0.4375)], [(115, 0.84375), (112, 0.1875)], [(114, -0.75), (109, None)],
[(112, 0.5), (109, -0.90625)], [(110, 0.84375), (107, 0.34375)], [(109, None), (105, 0.90625)], [(107, 0.28125), (104, None)], [(105, 0.65625), (103, -0.46875)],
[(104, None), (100, 0.0)], [(102, 0.5), (99, -0.96875)], [(100, 0.65625), (99, 0.09375)], [(99, None), (95, -0.65625)], [(99, 0.375), (94, None)],
[(96, 0.5), (94, -0.96875)], [(95, 0.6875), (93, -0.46875)], [(94, None), (90, -0.25)], [(92, 0.21875), (89, None)], [(90, 0.53125), (89, -0.78125)],
[(89, None), (86, 0.03125)], [(88, 0.09375), (84, None)], [(85, 0.53125), (84, -0.90625)], [(84, None), (81, -0.15625)], [(84, -0.875), (80, 0.40625)],
[(80, 0.8125), (79, -0.8125)], [(79, None), (78, 0.0625)], [(79, -0.875), (75, 0.28125)], [(77, -0.03125), (74, None)], [(75, 0.8125), (74, 0.125)],
[(74, None), (71, 0.34375)], [(74, -0.65625), (69, None)], [(73, 0.5), (69, None)], [(70, 0.21875), (69, None)], [(69, None), (67, 0.375)],
[(69, 0.15625), (65, 0.96875)], [(65, 0.0625), (64, -0.875)], [(64, None), (61, -0.0625)], [(64, None), (60, 0.46875)], [(59, None), (59, 0.5)],
[(59, None), (55, -0.0625)], [(59, 0.21875), (54, None)], [(55, 0.3125), (54, -0.9375)], [(54, None), (51, 0.125)], [(54, None), (49, None)],
[(53, 0.5), (49, None)], [(49, None), (46, -0.09375)], [(49, None), (45, 0.34375)], [(47, 0.1875), (44, None)], [(45, 0.84375), (44, -0.09375)],
[(44, None), (40, -0.375)], [(44, 0.375), (39, None)], [(41, 0.5), (39, None)], [(39, None), (36, 0.40625)], [(39, None), (35, 0.0)], [(37, 0.0), (34, None)],
[(35, 0.53125), (34, None)], [(34, None), (33, 0.0)], [(34, None), (30, 0.28125)], [(33, 0.5), (29, None)], [(30, 0.96875), (29, 0.03125)],
[(29, None), (26, 0.125)], [(28, 0.5), (24, None)], [(25, 0.71875), (24, None)], [(24, None), (22, 0.03125)], [(23, 0.53125), (20, 0.96875)],
[(20, 0.40625), (19, None)], [(19, None), (17, 0.0)], [(19, 0.125), (15, 0.15625)], [(16, 0.5), (14, None)], [(14, None), (14, -0.84375)],
[(14, None), (11, -0.09375)], [(13, 0.03125), (10, 0.78125)], [(11, 0.53125), (9, None)], [(9, None), (8, -0.28125)], [(9, -0.46875), (5, 0.03125)],
[(6, 0.5), (4, None)], [(4, None), (4, 0.125)], None, None, None, None, None, None, None, None, None, None, None, None, [(154, None), (150, 0.21875)],
[(154, -0.875), (149, None)], [(150, -0.6875), (148, -0.15625)], [(149, None), (145, 0.46875)], [(149, None), (144, None)], [(145, 0.96875), (140, 0.40625)],
[(144, None), (139, None)], [(142, -0.375), (139, -0.6875)], [(140, 0.5), (135, -0.3125)], [(139, None), (134, None)], [(139, 0.0), (134, None)],
[(135, -0.5), (134, 0.375)]]
def get_wlev_dqs_steps(variant=0):
if variant == 0:
return 1
elif variant ==1:
return 0
def get_wlev_data(): def get_wlev_data():
return { return {
'wlev_dqs_odly_b':[52.119267926792674, 49.885802580258002], 'wlev_dqs_odly_b':[52.119267926792674, 49.885802580258002],
...@@ -1399,6 +1452,7 @@ def get_addr_meas(): ...@@ -1399,6 +1452,7 @@ def get_addr_meas():
[124, 131, 128, 127, 129, 129, 129, 124, 129, 134, 129, 129, 124, 129, 129, 124, 130, 127]] , [124, 131, 128, 127, 129, 129, 129, 124, 129, 134, 129, 129, 124, 129, 129, 124, 130, 127]] ,
] ]
def get_addr_odly(): def get_addr_odly():
print("**** OBSOLETE *****")
return { return {
'dlys': [[46, 49, 48, 47, 48, 49, 48, 45, 49, 50, 48, 48, 45, 48, 48, 46, 49, 48, 50, 49, 49, 48], [45, 48, 46, 45, 46, 48, 45, 44, 47, 49, 45, 46, 44, 46, 45, 45, 48, 46, 49, 48, 48, 46], 'dlys': [[46, 49, 48, 47, 48, 49, 48, 45, 49, 50, 48, 48, 45, 48, 48, 46, 49, 48, 50, 49, 49, 48], [45, 48, 46, 45, 46, 48, 45, 44, 47, 49, 45, 46, 44, 46, 45, 45, 48, 46, 49, 48, 48, 46],
[44, 45, 44, 44, 44, 46, 44, 43, 45, 48, 44, 44, 43, 44, 44, 44, 46, 44, 48, 46, 45, 45], [43, 44, 44, 43, 44, 44, 44, 41, 44, 45, 44, 44, 41, 44, 44, 43, 44, 44, 45, 44, 44, 44], [44, 45, 44, 44, 44, 46, 44, 43, 45, 48, 44, 44, 43, 44, 44, 44, 46, 44, 48, 46, 45, 45], [43, 44, 44, 43, 44, 44, 44, 41, 44, 45, 44, 44, 41, 44, 44, 43, 44, 44, 45, 44, 44, 44],
...@@ -1508,4 +1562,141 @@ def get_cmda_parameters(): ...@@ -1508,4 +1562,141 @@ def get_cmda_parameters():
'tA': [2014.335618035371, 2022.0831903592677, 2025.482966498, 2000.1256204889644, 2017.3513081600333, 2054.856921634421, 1998.5668161398096, 1991.5152458814302, 2013.552541418718, 'tA': [2014.335618035371, 2022.0831903592677, 2025.482966498, 2000.1256204889644, 2017.3513081600333, 2054.856921634421, 1998.5668161398096, 1991.5152458814302, 2013.552541418718,
2035.4497883071335, 2012.5914774537146, 2013.8664966165068, 1995.7738477106127, 2021.1313354266506, 2005.8702139359314, 2014.6518090648067, 2025.5963222621444, 2025.7326063296766, 2035.4497883071335, 2012.5914774537146, 2013.8664966165068, 1995.7738477106127, 2021.1313354266506, 2005.8702139359314, 2014.6518090648067, 2025.5963222621444, 2025.7326063296766,
2030.5864502298764, 2024.5266464332833, 2039.6076080635871, 2018.250230021426]} 2030.5864502298764, 2024.5266464332833, 2039.6076080635871, 2018.250230021426]}
def get_cmda_odelay():
\ No newline at end of file return {
'dlys': [{0: [46, 49, 48, 47, 48, 49, 48, 45, 48, 50, 48, 48, 45, 48, 48, 46, 49, 48, 50, 49, 49, 48]},
{0: [45, 48, 46, 45, 46, 48, 46, 44, 47, 49, 45, 46, 44, 46, 46, 45, 48, 46, 49, 48, 48, 46]},
{0: [44, 45, 44, 44, 44, 45, 44, 43, 45, 48, 44, 45, 43, 44, 44, 44, 46, 44, 48, 45, 45, 45]},
{0: [43, 44, 44, 43, 44, 44, 44, 41, 44, 45, 43, 44, 41, 44, 44, 43, 44, 44, 45, 44, 44, 44]},
{0: [40, 44, 43, 40, 43, 44, 43, 39, 43, 44, 42, 43, 39, 43, 43, 40, 44, 43, 44, 44, 43, 43]},
{0: [39, 43, 40, 39, 40, 43, 40, 39, 40, 43, 40, 40, 39, 40, 40, 39, 43, 40, 44, 42, 42, 40]},
{0: [39, 40, 39, 39, 39, 40, 39, 38, 39, 42, 39, 39, 38, 39, 39, 39, 40, 39, 42, 40, 40, 39]},
{0: [37, 39, 38, 37, 38, 39, 38, 35, 38, 40, 38, 38, 35, 38, 38, 38, 39, 38, 40, 39, 39, 38]},
{0: [35, 38, 37, 35, 37, 38, 36, 34, 37, 39, 36, 37, 34, 37, 36, 35, 38, 37, 39, 38, 38, 37]},
{0: [34, 36, 35, 34, 35, 37, 35, 33, 35, 38, 34, 35, 33, 35, 34, 34, 36, 35, 38, 35, 35, 35]},
{0: [33, 34, 34, 33, 34, 35, 34, 32, 34, 35, 34, 34, 32, 34, 34, 33, 34, 34, 35, 34, 34, 34]},
{0: [32, 34, 33, 31, 33, 34, 33, 30, 33, 34, 33, 33, 30, 33, 33, 32, 34, 33, 34, 34, 34, 33]},
{0: [30, 33, 31, 30, 30, 33, 30, 29, 30, 33, 30, 31, 29, 31, 30, 30, 33, 30, 33, 32, 33, 30]},
{0: [29, 30, 29, 29, 29, 30, 29, 28, 29, 32, 29, 29, 28, 29, 29, 29, 30, 29, 32, 30, 30, 29]},
{0: [28, 29, 29, 28, 29, 29, 28, 26, 29, 30, 28, 29, 26, 29, 28, 28, 29, 29, 30, 29, 29, 29]},
{0: [25, 28, 28, 25, 27, 29, 27, 24, 27, 29, 27, 28, 25, 28, 27, 26, 28, 28, 29, 28, 28, 28]},
{0: [24, 26, 25, 24, 25, 28, 25, 24, 25, 28, 25, 25, 24, 25, 25, 24, 26, 25, 28, 26, 26, 25]},
{0: [24, 25, 24, 23, 24, 25, 24, 23, 24, 25, 24, 24, 23, 24, 24, 24, 25, 24, 25, 24, 25, 24]},
{0: [23, 24, 23, 22, 23, 24, 23, 20, 23, 24, 23, 23, 20, 23, 23, 23, 24, 23, 24, 24, 24, 23]},
{0: [20, 23, 22, 20, 21, 23, 20, 19, 21, 23, 20, 21, 19, 22, 20, 20, 23, 22, 23, 23, 23, 21]},
{0: [19, 20, 20, 19, 19, 22, 19, 18, 19, 22, 19, 20, 19, 20, 19, 19, 20, 20, 22, 20, 20, 20]},
{0: [18, 19, 19, 18, 19, 20, 18, 17, 19, 20, 18, 19, 17, 19, 19, 18, 19, 19, 20, 19, 19, 19]},
{0: [17, 18, 18, 16, 18, 19, 17, 15, 18, 19, 17, 18, 15, 18, 17, 17, 18, 18, 19, 18, 19, 18]},
{0: [15, 17, 16, 14, 15, 18, 15, 14, 15, 18, 15, 15, 14, 15, 15, 15, 17, 15, 18, 16, 17, 15]},
{0: [14, 15, 14, 14, 14, 16, 14, 13, 14, 15, 14, 14, 13, 14, 14, 14, 15, 14, 15, 14, 15, 14]},
{0: [13, 14, 14, 13, 13, 14, 13, 11, 13, 14, 13, 13, 11, 14, 13, 13, 14, 14, 14, 14, 14, 13]},
{0: [11, 13, 13, 10, 12, 14, 10, 9, 11, 13, 11, 12, 10, 12, 11, 11, 13, 12, 13, 13, 13, 12]},
{0: [9, 10, 10, 9, 10, 13, 9, 9, 9, 12, 9, 10, 9, 10, 9, 10, 10, 10, 11, 10, 11, 10]},
{0: [9, 9, 9, 8, 9, 10, 9, 8, 9, 10, 9, 9, 8, 9, 9, 9, 9, 9, 10, 9, 10, 9], -1: [159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159, 159]},
{0: [8, 8, 8, 7, 8, 9, 7, 5, 8, 9, 8, 8, 5, 8, 8, 8, 9, 8, 9, 8, 9, 8], -1: [159, 159, 159, 159, 159, 159, 159, 158, 159, 159, 159, 159, 158, 159, 159, 159, 159, 159, 159, 159, 159, 159]},
{0: [5, 7, 7, 5, 5, 8, 5, 4, 5, 8, 5, 6, 4, 6, 5, 5, 7, 6, 8, 6, 8, 6], -1: [158, 159, 159, 159, 159, 159, 159, 157, 159, 159, 159, 159, 156, 159, 159, 158, 159, 159, 159, 159, 159, 159]},
{0: [4, 5, 5, 4, 4, 7, 4, 3, 4, 5, 4, 4, 4, 5, 4, 4, 5, 5, 5, 5, 5, 4], -1: [155, 159, 159, 158, 159, 159, 159, 155, 159, 159, 159, 159, 154, 159, 159, 155, 159, 159, 159, 159, 159, 159]},
{0: [3, 4, 4, 3, 4, 5, 3, 2, 3, 4, 3, 4, 3, 4, 3, 4, 4, 4, 4, 4, 4, 4], -1: [154, 159, 158, 157, 159, 158, 159, 154, 159, 159, 159, 159, 154, 158, 159, 154, 159, 158, 159, 159, 158, 159]},
{0: [2, 3, 3, 1, 3, 4, 1, 0, 1, 4, 2, 3, 0, 3, 1, 2, 3, 3, 3, 3, 4, 3], -1: [153, 159, 155, 155, 158, 155, 159, 153, 159, 159, 157, 158, 153, 157, 158, 153, 159, 155, 159, 159, 157, 158]},
{0: [0, 0, 0, 0, 0, 3, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0], -1: [152, 159, 154, 154, 155, 154, 158, 151, 159, 159, 155, 156, 150, 155, 157, 152, 159, 154, 159, 159, 155, 155]},
{0: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [150, 158, 153, 153, 154, 154, 155, 149, 157, 159, 154, 154, 149, 154, 155, 150, 158, 153, 159, 158, 154, 154]},
{0: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [149, 155, 152, 150, 153, 152, 154, 149, 155, 158, 153, 154, 148, 153, 154, 149, 155, 152, 159, 155, 153, 153]},
{0: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [148, 154, 150, 149, 151, 150, 154, 148, 154, 156, 151, 153, 147, 150, 153, 148, 154, 150, 159, 154, 151, 152]},
{0: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [146, 154, 149, 149, 150, 149, 152, 145, 153, 154, 149, 150, 145, 149, 150, 146, 154, 149, 158, 154, 149, 150]},
{0: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [145, 152, 148, 147, 149, 148, 150, 144, 151, 154, 149, 149, 144, 149, 149, 145, 152, 148, 155, 152, 149, 149]},
{0: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [144, 150, 146, 145, 148, 146, 149, 143, 149, 153, 148, 148, 143, 148, 149, 144, 150, 146, 154, 150, 148, 148]},
{0: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], -1: [143, 149, 144, 144, 145, 145, 148, 142, 149, 150, 145, 146, 141, 145, 147, 143, 149, 144, 153, 149, 145, 145]},
{-1: [140, 148, 144, 143, 144, 144, 146, 140, 148, 149, 144, 145, 140, 144, 145, 140, 148, 144, 151, 148, 144, 144]},
{-1: [139, 146, 143, 141, 143, 143, 144, 139, 145, 148, 143, 144, 139, 143, 144, 139, 145, 143, 149, 146, 143, 144]},
{-1: [139, 144, 140, 140, 142, 140, 144, 138, 144, 146, 142, 143, 138, 141, 143, 139, 144, 140, 149, 144, 142, 143]},
{-1: [137, 144, 139, 139, 140, 139, 143, 136, 143, 145, 140, 140, 135, 140, 141, 137, 144, 139, 148, 144, 140, 140]},
{-1: [135, 143, 138, 138, 139, 139, 140, 134, 141, 144, 139, 139, 134, 139, 139, 135, 143, 138, 145, 143, 139, 139]},
{-1: [134, 140, 137, 135, 138, 138, 139, 134, 139, 143, 138, 138, 134, 138, 139, 134, 140, 137, 144, 140, 138, 138]},
{-1: [133, 139, 135, 134, 136, 135, 138, 133, 139, 140, 135, 137, 132, 135, 138, 133, 139, 135, 143, 139, 136, 136]},
{-1: [132, 138, 134, 133, 134, 134, 136, 130, 138, 139, 134, 135, 130, 134, 135, 132, 138, 134, 141, 138, 134, 135]},
{-1: [130, 136, 133, 132, 134, 133, 135, 129, 135, 138, 134, 134, 129, 134, 134, 130, 136, 133, 139, 136, 134, 134]},
{-1: [129, 134, 131, 130, 133, 132, 134, 128, 134, 137, 133, 133, 128, 132, 133, 129, 134, 131, 139, 134, 133, 133]},
{-1: [128, 134, 129, 129, 130, 130, 133, 127, 133, 135, 130, 131, 126, 130, 131, 128, 134, 129, 138, 134, 130, 130]},
{-1: [125, 133, 129, 128, 129, 129, 130, 125, 131, 134, 129, 129, 125, 129, 130, 125, 133, 129, 135, 133, 129, 129]},
{-1: [124, 130, 128, 126, 128, 128, 129, 124, 130, 133, 128, 129, 124, 128, 129, 124, 130, 128, 134, 130, 128, 128]},
{-1: [124, 129, 125, 124, 127, 125, 128, 123, 129, 130, 126, 128, 123, 126, 128, 124, 129, 125, 133, 129, 127, 127]},
{-1: [123, 128, 124, 124, 125, 124, 127, 121, 128, 129, 125, 125, 120, 124, 125, 123, 128, 124, 131, 128, 125, 125]},
{-1: [120, 126, 123, 123, 124, 124, 125, 119, 125, 128, 124, 124, 119, 124, 124, 120, 126, 123, 129, 126, 124, 124]},
{-1: [119, 125, 122, 120, 123, 123, 124, 119, 124, 127, 123, 123, 119, 123, 123, 119, 125, 122, 129, 125, 123, 123]},
{-1: [118, 124, 120, 119, 120, 120, 123, 118, 123, 125, 120, 121, 118, 120, 122, 118, 124, 120, 127, 124, 120, 121]},
{-1: [117, 123, 119, 118, 119, 119, 120, 115, 122, 124, 119, 120, 115, 119, 120, 117, 123, 119, 125, 123, 119, 119]},
{-1: [115, 120, 118, 117, 119, 118, 119, 114, 120, 123, 118, 119, 114, 118, 119, 115, 120, 118, 124, 120, 119, 119]},
{-1: [114, 119, 115, 115, 117, 117, 118, 113, 119, 120, 117, 118, 113, 117, 118, 114, 119, 115, 123, 119, 118, 118]},
{-1: [113, 118, 114, 114, 115, 115, 117, 112, 118, 119, 115, 115, 112, 115, 115, 113, 118, 114, 120, 118, 115, 115]},
{-1: [111, 117, 114, 113, 114, 114, 115, 110, 115, 118, 114, 114, 110, 114, 114, 111, 117, 114, 119, 117, 114, 114]},
{-1: [109, 115, 113, 111, 113, 113, 114, 109, 114, 117, 113, 113, 109, 113, 114, 109, 115, 113, 119, 115, 113, 113]},
{-1: [109, 114, 110, 109, 111, 111, 113, 108, 113, 115, 110, 112, 108, 110, 112, 109, 114, 110, 117, 114, 112, 111]},
{-1: [108, 113, 109, 109, 109, 109, 110, 106, 112, 114, 109, 110, 106, 109, 110, 108, 113, 109, 115, 113, 110, 110]},
{-1: [105, 110, 108, 108, 109, 109, 109, 105, 110, 113, 109, 109, 104, 109, 109, 105, 110, 108, 114, 110, 109, 109]},
{-1: [104, 109, 107, 105, 108, 108, 109, 104, 109, 110, 108, 108, 104, 108, 108, 104, 109, 107, 113, 109, 108, 108]},
{-1: [103, 108, 105, 104, 105, 105, 107, 103, 108, 109, 105, 106, 103, 105, 106, 103, 108, 105, 110, 108, 105, 105]},
{-1: [102, 107, 104, 103, 104, 104, 105, 100, 105, 109, 104, 104, 100, 104, 104, 102, 107, 104, 109, 107, 104, 104]},
{-1: [100, 105, 103, 102, 103, 103, 104, 99, 104, 107, 103, 104, 99, 103, 104, 100, 105, 103, 108, 105, 104, 104]},
{-1: [99, 104, 100, 100, 102, 102, 103, 99, 104, 105, 101, 103, 98, 101, 103, 99, 104, 100, 107, 104, 102, 102]},
{-1: [98, 103, 99, 99, 100, 100, 101, 97, 102, 104, 100, 100, 97, 100, 100, 98, 103, 99, 105, 103, 100, 100]},
{-1: [96, 100, 99, 98, 99, 99, 99, 95, 100, 103, 99, 99, 95, 99, 99, 96, 100, 99, 104, 100, 99, 99]},
{-1: [95, 99, 98, 95, 98, 98, 99, 94, 99, 100, 98, 98, 94, 98, 98, 95, 99, 97, 103, 99, 98, 98]},
{-1: [94, 99, 95, 94, 95, 96, 98, 93, 98, 99, 95, 96, 93, 95, 97, 94, 99, 95, 100, 99, 96, 96]},
{-1: [93, 97, 94, 94, 94, 94, 95, 91, 95, 99, 94, 95, 91, 94, 95, 93, 97, 94, 99, 97, 95, 94]},
{-1: [90, 95, 93, 92, 94, 94, 94, 90, 94, 97, 93, 94, 89, 94, 94, 90, 95, 93, 98, 95, 94, 94]},
{-1: [89, 94, 91, 90, 93, 93, 93, 89, 94, 95, 92, 93, 89, 92, 93, 89, 94, 91, 97, 94, 93, 93]},
{-1: [89, 93, 90, 89, 90, 90, 91, 88, 92, 94, 90, 90, 88, 90, 90, 89, 93, 90, 95, 93, 90, 90]},
{-1: [87, 91, 89, 88, 89, 89, 89, 85, 90, 93, 89, 89, 85, 89, 89, 88, 91, 89, 94, 91, 89, 89]},
{-1: [85, 89, 88, 86, 88, 88, 89, 84, 89, 90, 88, 88, 84, 88, 88, 85, 89, 88, 93, 89, 89, 88]},
{-1: [84, 89, 85, 85, 86, 87, 88, 84, 88, 89, 86, 87, 83, 86, 87, 84, 89, 85, 90, 89, 87, 87]},
{-1: [83, 88, 84, 84, 85, 85, 85, 82, 86, 89, 84, 85, 82, 84, 85, 83, 88, 84, 89, 88, 85, 85]},
{-1: [82, 85, 84, 83, 84, 84, 84, 80, 84, 87, 84, 84, 80, 84, 84, 82, 85, 84, 88, 85, 84, 84]},
{-1: [80, 84, 82, 80, 83, 83, 83, 79, 84, 85, 83, 83, 79, 83, 83, 80, 84, 82, 86, 84, 83, 83]},
{-1: [79, 83, 80, 79, 80, 81, 82, 78, 83, 84, 80, 81, 78, 80, 80, 79, 83, 80, 85, 83, 81, 80]},
{-1: [78, 81, 79, 78, 79, 79, 80, 76, 80, 83, 79, 79, 76, 79, 79, 78, 81, 79, 84, 81, 80, 79]},
{-1: [75, 79, 78, 77, 78, 79, 79, 75, 79, 81, 78, 79, 75, 78, 79, 76, 79, 78, 83, 79, 79, 79]},
{-1: [74, 79, 76, 75, 77, 78, 78, 74, 78, 79, 76, 78, 74, 77, 78, 74, 79, 76, 80, 79, 78, 77]},
{-1: [74, 78, 75, 74, 75, 75, 75, 73, 76, 79, 75, 75, 73, 75, 75, 74, 78, 75, 79, 78, 75, 75]},
{-1: [73, 75, 74, 73, 74, 74, 74, 70, 74, 78, 74, 74, 70, 74, 74, 73, 75, 74, 78, 75, 74, 74]},
{-1: [70, 74, 73, 71, 73, 73, 73, 69, 74, 75, 73, 73, 69, 73, 73, 70, 74, 73, 76, 74, 73, 73]},
{-1: [69, 73, 70, 69, 71, 72, 72, 69, 73, 74, 70, 71, 69, 71, 71, 69, 73, 70, 74, 73, 72, 71]},
{-1: [68, 72, 69, 69, 69, 70, 70, 68, 70, 73, 69, 70, 68, 69, 69, 68, 72, 69, 74, 71, 70, 69]},
{-1: [67, 70, 69, 68, 69, 69, 69, 65, 69, 71, 68, 69, 65, 69, 69, 67, 70, 68, 73, 70, 69, 69]},
{-1: [65, 69, 67, 65, 68, 68, 68, 64, 68, 69, 67, 68, 64, 68, 68, 65, 69, 67, 70, 69, 68, 68]},
{-1: [64, 68, 65, 64, 65, 66, 65, 63, 66, 69, 65, 65, 63, 65, 65, 64, 68, 65, 69, 68, 66, 65]},
{-1: [63, 65, 64, 63, 64, 65, 64, 62, 65, 68, 64, 64, 62, 64, 64, 63, 65, 64, 68, 65, 64, 64]},
{-1: [61, 64, 63, 62, 63, 64, 64, 60, 64, 65, 63, 63, 60, 63, 63, 61, 64, 63, 66, 64, 64, 63]},
{-1: [59, 63, 61, 60, 61, 63, 62, 59, 63, 64, 61, 62, 59, 62, 62, 59, 63, 61, 64, 63, 63, 62]},
{-1: [59, 62, 60, 59, 60, 60, 60, 58, 60, 63, 59, 60, 58, 60, 60, 59, 62, 59, 64, 62, 60, 60]},
{-1: [58, 60, 59, 58, 59, 59, 59, 55, 59, 61, 59, 59, 55, 59, 59, 58, 60, 59, 63, 60, 59, 59]},
{-1: [55, 59, 58, 56, 58, 59, 58, 54, 58, 59, 58, 58, 54, 58, 58, 55, 59, 58, 60, 59, 58, 58]},
{-1: [54, 58, 55, 54, 55, 57, 55, 54, 57, 59, 55, 56, 54, 55, 55, 54, 58, 55, 59, 58, 57, 55]},
{-1: [53, 55, 54, 54, 54, 55, 54, 53, 55, 58, 54, 54, 53, 54, 54, 54, 55, 54, 58, 55, 55, 54]},
{-1: [52, 54, 53, 53, 54, 54, 54, 50, 54, 55, 53, 54, 50, 54, 53, 52, 54, 53, 56, 54, 54, 54]},
{-1: [50, 54, 52, 50, 52, 53, 53, 49, 53, 54, 51, 53, 49, 52, 52, 50, 54, 52, 54, 53, 53, 52]},
{-1: [49, 52, 50, 49, 50, 51, 50, 48, 50, 53, 50, 50, 48, 50, 50, 49, 52, 50, 54, 52, 51, 50]},
{-1: [48, 50, 49, 48, 49, 50, 49, 47, 49, 51, 49, 49, 47, 49, 49, 48, 50, 49, 52, 50, 49, 49]}] ,
'err': [{0: 13.81671034754726}, {0: 13.771469038723755}, {0: 14.340527380809972}, {0: 14.164584645161225}, {0: 14.179870115556541}, {0: 13.432773521664858},
{0: 13.3566833724952}, {0: 14.390664706793272}, {0: 9.709949257904468}, {0: 14.378331292519688}, {0: 13.581005590479135}, {0: 12.284361804967448},
{0: 13.744883867172295}, {0: 13.069265521537245}, {0: 12.948095405025088}, {0: 14.02335676260822}, {0: 12.788901745548783}, {0: 14.356338229244015},
{0: 12.479472180202405}, {0: 13.05966158965421}, {0: 14.447252771454869}, {0: 14.616176623323012}, {0: 13.284252179533341}, {0: 13.320428707512901},
{0: 13.828083387638953}, {0: 13.961453041428879}, {0: 14.434483095270862}, {0: 14.155562014516082}, {0: 13.621773270398254, -1: 193.69710272527527},
{0: 14.135410406801002, -1: 171.37567415384638}, {0: 11.944276842146932, -1: 149.05424558241793}, {0: 14.670265752668596, -1: 126.73281701098949},
{0: 14.235541468098885, -1: 104.41138843956105}, {0: 14.675487230752724, -1: 82.08995986813261}, {0: 29.055624070515652, -1: 59.76853129670371},
{0: 51.37705264194409, -1: 37.44710272527527}, {0: 73.69848121337276, -1: 15.125674153846376}, {0: 96.01990978480143, -1: 12.325458563410393},
{0: 118.34133835622987, -1: 14.236786310874777}, {0: 140.6627669276583, -1: 14.207693683545585}, {0: 162.98419549908698, -1: 13.65984427239664},
{0: 185.30562407051565, -1: 13.560536133667483}, {-1: 14.297620103659483}, {-1: 13.829412301415232}, {-1: 13.710533168281472}, {-1: 13.286347636302253},
{-1: 12.821762281056635}, {-1: 14.004133136291784}, {-1: 9.404038490873972}, {-1: 14.596070048842194}, {-1: 14.546608275830295}, {-1: 13.403412231999482},
{-1: 12.216694920653026}, {-1: 13.382714580810898}, {-1: 13.948656237887462}, {-1: 13.560160527110838}, {-1: 14.296751164508805}, {-1: 13.862925497698143},
{-1: 13.63882881579002}, {-1: 11.889989628702551}, {-1: 13.219880835126332}, {-1: 13.970514707628354}, {-1: 14.09870815509612}, {-1: 11.864068831077475},
{-1: 13.590024300898676}, {-1: 13.75198732304716}, {-1: 12.797367218788622}, {-1: 13.42483346885092}, {-1: 14.382045933133213}, {-1: 13.199714247831253},
{-1: 14.375940766531585}, {-1: 14.219509535919315}, {-1: 14.55629922099888}, {-1: 14.488771143817758}, {-1: 13.845159186347246}, {-1: 12.792416076802965},
{-1: 13.931039565706214}, {-1: 13.444451538081921}, {-1: 13.249330703433316}, {-1: 14.24759723939951}, {-1: 12.788236240655351}, {-1: 13.516253899478215},
{-1: 13.693473701950552}, {-1: 14.232298130985328}, {-1: 14.83706677922919}, {-1: 14.079110967730685}, {-1: 14.136257289816967}, {-1: 11.651025550468603},
{-1: 13.429311988168593}, {-1: 14.569819221850139}, {-1: 14.363411528439883}, {-1: 11.942874143262088}, {-1: 14.445342077758596}, {-1: 12.934262137098358},
{-1: 14.543709933431273}, {-1: 13.440294617312247}, {-1: 13.65979569157389}, {-1: 14.14668606893565}, {-1: 12.577856540548964}, {-1: 10.30006550464168},
{-1: 14.055893653045587}, {-1: 14.073969932251202}, {-1: 14.428825281091122}, {-1: 14.187880101861538}, {-1: 12.25117775834633}, {-1: 13.974271255088752},
{-1: 11.378383135418517}, {-1: 14.504429101537426}, {-1: 14.472180131938785}, {-1: 14.274908290143685}, {-1: 12.941975230024127}, {-1: 12.806753039948944}]
}
\ No newline at end of file
py393/vrlg.py
View file @ 9b43bdd6
...@@ -29,6 +29,7 @@ __maintainer__ = "Andrey Filippov" ...@@ -29,6 +29,7 @@ __maintainer__ = "Andrey Filippov"
__email__ = "andrey@elphel.com" __email__ = "andrey@elphel.com"
__status__ = "Development" __status__ = "Development"
DEFAULTS={} DEFAULTS={}
dqs_dqm_patt=None
def init_vars(d): def init_vars(d):
global DEFAULTS global DEFAULTS
if d: if d:
......
py393/x393_lma.py
View file @ 9b43bdd6
...@@ -1625,17 +1625,44 @@ class X393LMA(object): ...@@ -1625,17 +1625,44 @@ class X393LMA(object):
s=if-ir+of-or s=if-ir+of-or
d=ir-if+of-or d=ir-if+of-or
""" """
def lma_fit_dqsi_phase(self, def lma_fit_dqs_phase(self,
lane, # byte lane lane, # byte lane
bin_size_ps, bin_size_ps,
clk_period, clk_period,
dqsi_dqi_parameters, dqs_dq_parameters,
tSDQS, # use if dqs_dq_parameters are not available
data_set, data_set,
compare_prim_steps, compare_prim_steps,
scale_w, scale_w,
numPhaseSteps, numPhaseSteps,
maxDlyErr=200.0, # ps - trying multiple overlapping branches
fallingPhase=False, # output mode - delays decrease when phase increases
shiftFracPeriod=0.5, # measured data is marginal, shift optimal by half period
quiet=1): quiet=1):
# print("++++++lma_fit_dqsi_phase(), quiet=",quiet) """
Calculate linear approximation for DQS-in or DQS-out vs. phase, crossing periods
@param lane byte lane to use (0,1 or 'all')
@param bin_size_ps histogram bin size in ps
@param clk_period clock period, in ps
@param dqs_dq_parameters dq{i,0} vs dqs[i,o} parameters or Null if not yet available (after write levelling)
used to get initial delay scale and fine delay correction
@param tSDQS delay in ps for one finedelay step - used only if dqs_dq_parameters are not available
@param data_set data set number for hard-coded debug data or -1 to use actual just measured results
@param compare_prim_steps if True input data was calibrated with primary delay steps, False - if with fine delay
That means that delay data is on average is either 2.5 or 0.5 lower than unbiased average
@param scale_w weight for samples that have "binary" data with full uncertainty of +/-2.5 or +/-0.5 steps
@param numPhaseSteps Total number of delay steps (currently 5*32 = 160)
@param maxDlyErr Made for testing multiple overlapping branches, maximal error in ps to keep the result branch
@param fallingPhase input data is decreasing with phase increasing (command/addresses, data output), False - increasing
as for DQS in /DQ in
@param shiftFracPeriod When measured data is marginal, not optimal, result needs to be shifted by this fraction of the period
Currently it should be 0.5 for input, 0.0 - for output
@param quiet=1):
"""
# print("++++++lma_fit_dqs_phase(), quiet=",quiet)
phase_sign=(1,-1)[fallingPhase]
phase_add=(0,numPhaseSteps)[fallingPhase]
def show_input_data(filtered): def show_input_data(filtered):
print(('unfiltered','filtered')[filtered]) print(('unfiltered','filtered')[filtered])
for phase,d in enumerate(data_set): for phase,d in enumerate(data_set):
...@@ -1648,7 +1675,7 @@ class X393LMA(object): ...@@ -1648,7 +1675,7 @@ class X393LMA(object):
dly+=halfStep dly+=halfStep
# print ("%f %f"%(dly, dly-phase*phase_step/dbg_tSDQS[lane]), end=" ") # print ("%f %f"%(dly, dly-phase*phase_step/dbg_tSDQS[lane]), end=" ")
# print ("%f %f"%(dly*dbg_tSDQS[lane]/phase_step, dly*dbg_tSDQS[lane]/phase_step-phase), end=" ") # print ("%f %f"%(dly*dbg_tSDQS[lane]/phase_step, dly*dbg_tSDQS[lane]/phase_step-phase), end=" ")
print ("%f %f"%(dly*dbg_tSDQS[lane], dly*dbg_tSDQS[lane]-phase*phase_step), end=" ") print ("%f %f"%(dly*dbg_tSDQS[lane], dly*dbg_tSDQS[lane]+(phase_add-phase)*phase_step), end=" ")
else: else:
print ("? ?", end=" ") print ("? ?", end=" ")
print() print()
...@@ -1660,7 +1687,7 @@ class X393LMA(object): ...@@ -1660,7 +1687,7 @@ class X393LMA(object):
dly = dl[0] dly = dl[0]
if dl[1] is None: if dl[1] is None:
dly+=halfStep dly+=halfStep
diff_ps=dly*tSDQS-phase*phase_step diff_ps=dly*tSDQS+(phase_add-phase)*phase_step
binArr[int((diff_ps-minVal)/bin_size_ps)]+=1 binArr[int((diff_ps-minVal)/bin_size_ps)]+=1
if quiet < 3: if quiet < 3:
for i,h in enumerate(binArr): for i,h in enumerate(binArr):
...@@ -1683,27 +1710,45 @@ class X393LMA(object): ...@@ -1683,27 +1710,45 @@ class X393LMA(object):
return minVal+bin_size_ps*(SX+0.5) # ps return minVal+bin_size_ps*(SX+0.5) # ps
if not isinstance(lane,(int, long)): # ignore content, process both lanes if not isinstance(lane,(int, long)): # ignore content, process both lanes
rslt_names=("dqsi_optimal_ps","dqsi_phase") rslt_names=("dqs_optimal_ps","dqs_phase","dqs_phase_multi","dqs_phase_err","dqs_min_max_periods")
rslt= {} rslt= {}
for name in rslt_names: for name in rslt_names:
rslt[name] = [] rslt[name] = []
for lane in range(2): for lane in range(2):
rslt_lane=self.lma_fit_dqsi_phase(lane, # byte lane rslt_lane=self.lma_fit_dqs_phase(lane= lane, # byte lane
bin_size_ps, bin_size_ps= bin_size_ps,
clk_period, clk_period= clk_period,
dqsi_dqi_parameters, dqs_dq_parameters= dqs_dq_parameters,
data_set, tSDQS= tSDQS,
compare_prim_steps, data_set= data_set,
scale_w, compare_prim_steps= compare_prim_steps,
numPhaseSteps, scale_w= scale_w,
quiet) numPhaseSteps= numPhaseSteps,
maxDlyErr= maxDlyErr,
fallingPhase= fallingPhase,
shiftFracPeriod= shiftFracPeriod,
quiet= quiet)
for name in rslt_names: for name in rslt_names:
rslt[name].append(rslt_lane[name]) rslt[name].append(rslt_lane[name])
if quiet<3: if quiet<3:
print ('dqsi_optimal_ps=%s'%(str(rslt['dqsi_optimal_ps']))) print ('dqs_optimal_ps=%s'%(str(rslt['dqs_optimal_ps'])))
print ('dqsi_phase=[') print ('dqs_phase=[')
for lane in rslt['dqsi_phase']: for lane in rslt['dqs_phase']:
print(" [",end=" ")
for i,d in enumerate(lane):
last= i == (len(lane)-1)
print("%s"%(str(d)), end=" ")
if not last:
print(",",end=" ")
if ((i+1) % 16) ==0:
print("\n ",end="")
else:
print('],')
print(']')
print ('dqs_phase_multi=[')
for lane in rslt['dqs_phase_multi']:
print(" [",end=" ") print(" [",end=" ")
for i,d in enumerate(lane): for i,d in enumerate(lane):
last= i == (len(lane)-1) last= i == (len(lane)-1)
...@@ -1715,24 +1760,54 @@ class X393LMA(object): ...@@ -1715,24 +1760,54 @@ class X393LMA(object):
else: else:
print('],') print('],')
print(']') print(']')
# print(rslt) print ('dqs_phase_err=[')
for lane in rslt['dqs_phase_err']:
print(" [",end=" ")
for i,d in enumerate(lane):
last= i == (len(lane)-1)
print("%s"%(str(d)), end=" ")
if not last:
print(",",end=" ")
if ((i+1) % 16) ==0:
print("\n ",end="")
else:
print('],')
print(']')
# print(rslt)
return rslt return rslt
phase_step= clk_period/ numPhaseSteps phase_step= phase_sign*clk_period/ numPhaseSteps
tSDQS=dqsi_dqi_parameters[lane]['tSDQS'] # ~16.081739769147354 try:
dbg_tSDQS=(dqsi_dqi_parameters[0]['tSDQS'],dqsi_dqi_parameters[1]['tSDQS']) tSDQS=dqs_dq_parameters[lane]['tSDQS'] # ~16.081739769147354
except:
if quiet < 2:
print("dqs_dq_parameters are not available, using datasheet value for tSDQS=%f ps"%(tSDQS))
try:
dbg_tSDQS=(dqs_dq_parameters[0]['tSDQS'],dqs_dq_parameters[1]['tSDQS'])
except:
dbg_tSDQS=(tSDQS,tSDQS)
halfStep=0.5*(1,compare_prim_steps)[compare_prim_steps] halfStep=0.5*(1,compare_prim_steps)[compare_prim_steps]
#phase_step/tSDQS #phase_step/tSDQS
# print("lma_fit_dqsi_phase(): quiet=",quiet) # print("lma_fit_dqs_phase(): quiet=",quiet)
if quiet < 2: if quiet < 2:
print (phase_step,dbg_tSDQS) print (phase_step,dbg_tSDQS)
for filtered in range(2): for filtered in range(2):
show_input_data(filtered) show_input_data(filtered)
# all preliminary teset above # all preliminary tests above
maxVal= DLY_STEPS*tSDQS #phase_add
minVal= -clk_period if fallingPhase:
maxVal= clk_period
minVal= -DLY_STEPS*abs(tSDQS)
else:
maxVal= DLY_STEPS*abs(tSDQS)
minVal= -clk_period
num_bins=int((maxVal-minVal)/bin_size_ps)+1 num_bins=int((maxVal-minVal)/bin_size_ps)+1
binArr=[0]*num_bins binArr=[0]*num_bins
if quiet < 2: if quiet < 2:
...@@ -1751,13 +1826,16 @@ class X393LMA(object): ...@@ -1751,13 +1826,16 @@ class X393LMA(object):
dly = dl[0] dly = dl[0]
if dl[1] is None: if dl[1] is None:
dly+=halfStep dly+=halfStep
periods[phase]=int(round((dly*tSDQS-phase*phase_step)/clk_period)) periods[phase]=int(round((dly*tSDQS+(phase_add-phase)*phase_step)/clk_period)) #############################
w=[0.0]*len(data_set) w=[0.0]*len(data_set)
if quiet < 2: if quiet < 2:
for i,p in enumerate(periods): for i,p in enumerate(periods):
print ("%d %s"%(i,str(p))) print ("%d %s"%(i,str(p)))
tFDQS=dqsi_dqi_parameters[lane]['tFDQS'] # [-21.824409224001187, -10.830180678770162, 1.5698858542328959, 11.267851084349177] try:
tFDQS.append(-tFDQS[0]-tFDQS[1]-tFDQS[2]-tFDQS[3]) tFDQS=dqs_dq_parameters[lane]['tFDQS'] # [-21.824409224001187, -10.830180678770162, 1.5698858542328959, 11.267851084349177]
tFDQS.append(-tFDQS[0]-tFDQS[1]-tFDQS[2]-tFDQS[3])
except:
tFDQS=[0.0]*FINE_STEPS
SY=0.0 SY=0.0
S0=0.0 S0=0.0
for phase,d in enumerate(data_set): for phase,d in enumerate(data_set):
...@@ -1769,8 +1847,8 @@ class X393LMA(object): ...@@ -1769,8 +1847,8 @@ class X393LMA(object):
if dl[1] is None: if dl[1] is None:
dly+=halfStep dly+=halfStep
w[phase]=scale_w w[phase]=scale_w
d=dly*tSDQS-periods[phase]*clk_period-tFDQS[dl[0] % FINE_STEPS] d=dly*tSDQS-periods[phase]*clk_period-tFDQS[dl[0] % FINE_STEPS] ############################
y=d-phase*phase_step y=d+(phase_add-phase)*phase_step
S0+=w[phase] S0+=w[phase]
SY+=w[phase]*y SY+=w[phase]*y
if S0 > 0.0: if S0 > 0.0:
...@@ -1786,7 +1864,7 @@ class X393LMA(object): ...@@ -1786,7 +1864,7 @@ class X393LMA(object):
dly = dl[0] dly = dl[0]
if dl[1] is None: if dl[1] is None:
dly+=halfStep dly+=halfStep
d=dly*tSDQS-periods[phase]*clk_period-tFDQS[dl[0] % FINE_STEPS] d=dly*tSDQS-periods[phase]*clk_period-tFDQS[dl[0] % FINE_STEPS] ############################
print ("%f %f"%(d, w[i]), end=" ") print ("%f %f"%(d, w[i]), end=" ")
if not dl[1] is None: if not dl[1] is None:
print(d,end=" ") print(d,end=" ")
...@@ -1794,30 +1872,90 @@ class X393LMA(object): ...@@ -1794,30 +1872,90 @@ class X393LMA(object):
print("?",end=" ") print("?",end=" ")
else: else:
print ("? ?", end=" ") print ("? ?", end=" ")
print("%f"%(SY+phase*phase_step),end=" ") print("%f"%(SY-(phase_add-phase)*phase_step),end=" ")
print() print()
# Now shift SY by clk_period/2.0, for each phase find the closest DQSI match (None if does not exist) # Now shift SY by half clk_period for each phase find the closest DQSI match (None if does not exist)
dqsi_range=tSDQS*DLY_STEPS# full range of the DQSI delay for this lane # Shift should only be for DQSI (middle between the errors), for WLEV - no shift
# dqsi_middle_in_ps = SY-clk_period*round(SY/clk_period)-0.5 #shiftFracPeriod
# dqsi_middle_in_ps = (SY-clk_period/2)-clk_period*round((SY-clk_period/2)/clk_period) dqsi_range=abs(tSDQS)*DLY_STEPS# full range of the DQSI delay for this lane
# dqsi_middle_in_ps = (SY-clk_period/2)-clk_period*round(SY/clk_period -0.5) # dqsi_middle_in_ps = SY-clk_period*(round(SY/clk_period -0.5)+0.5)
dqsi_middle_in_ps = SY-clk_period*(round(SY/clk_period -0.5)+0.5) dqsi_middle_in_ps = SY-clk_period*(round(SY/clk_period -shiftFracPeriod)+shiftFracPeriod)
dqsi_phase=[None]*numPhaseSteps if quiet < 3:
print("SY=",SY)
print("dqsi_middle_in_ps=",dqsi_middle_in_ps)
print("phase_add=",phase_add)
print("phase_step=",phase_step)
print("shiftFracPeriod=",shiftFracPeriod)
print("clk_period*shiftFracPeriod=",(clk_period*shiftFracPeriod))
dqs_phase=[None]*numPhaseSteps
for phase in range(numPhaseSteps): for phase in range(numPhaseSteps):
dly_ps=phase_step*phase+dqsi_middle_in_ps dly_ps=-phase_step*(phase_add-phase)+dqsi_middle_in_ps
dly_ps-=clk_period*round(dly_ps/clk_period - 0.5) # positive, <clk_period dly_ps-=clk_period*round(dly_ps/clk_period - 0.5) # positive, <clk_period
#Using lowest delay branch if multiple are possible #Using lowest delay branch if multiple are possible
if dly_ps > dqsi_range: if dly_ps > dqsi_range:
continue # no valid dqs_idelay for this phase continue # no valid dqs_idelay for this phase
idly = int (round(dly_ps/tSDQS)) idly = int (round(dly_ps/tSDQS)) ###############?
low= max(0,idly-FINE_STEPS) low= max(0,idly-FINE_STEPS)
high=min(DLY_STEPS-1,idly+FINE_STEPS) high=min(DLY_STEPS-1,idly+FINE_STEPS)
idly=low idly=low
for i in range(low,high+1): for i in range(low,high+1):
if abs(i*tSDQS-tFDQS[i % FINE_STEPS]-dly_ps) < abs(idly*tSDQS-tFDQS[idly % FINE_STEPS]-dly_ps): if abs(i*tSDQS-tFDQS[i % FINE_STEPS]-dly_ps) < abs(idly*tSDQS-tFDQS[idly % FINE_STEPS]-dly_ps): ############################
idly=i idly=i
dqsi_phase[phase]=idly dqs_phase[phase]=idly
if quiet < 3:
for phase,d in enumerate(data_set):
print ("%d"%(phase),end=" ")
if (not d is None) and (not d[lane] is None) and (not d[lane][0] is None):
dly = d[lane][0]
if d[lane][1] is None:
dly+=halfStep
print ("%f"%(dly), end=" ")
else:
print ("?", end=" ")
if not dqs_phase[phase] is None:
print("%f"%(dqs_phase[phase]),end=" ")
else:
print ("?", end=" ")
print()
# maxDlyErr (ps)
dqsi_phase_multi=[None]*numPhaseSteps
dqsi_phase_err= [None]*numPhaseSteps
min_max_periods=None
for phase in range(numPhaseSteps):
dly_ps=phase_step*(phase-phase_add)+dqsi_middle_in_ps
periods=int(round((dly_ps+ +maxDlyErr)/clk_period - 0.5))
dly_ps-=clk_period*periods # positive, <clk_period
#Using lowest delay branch if multiple are possible - now all branches
if dly_ps <= (dqsi_range+maxDlyErr):
dqsi_phase_multi[phase]={}
dqsi_phase_err[phase]={}
while dly_ps <= (dqsi_range+maxDlyErr):
try:
min_max_periods[0]=min(min_max_periods[0],periods)
min_max_periods[1]=max(min_max_periods[1],periods)
except:
min_max_periods=[periods,periods]
idly = int (round(dly_ps/tSDQS)) ##########################################
low= max(0,idly-FINE_STEPS)
# high=min(DLY_STEPS-1,idly+FINE_STEPS)
high=idly+FINE_STEPS
if high >= DLY_STEPS:
high=DLY_STEPS - 1
low= DLY_STEPS - FINE_STEPS
idly=low
for i in range(low,high+1):
if abs(i*tSDQS-tFDQS[i % FINE_STEPS]-dly_ps) < abs(idly*tSDQS-tFDQS[idly % FINE_STEPS]-dly_ps): ###################
idly=i
dqsi_phase_multi[phase][periods]=idly
dqsi_phase_err[phase][periods]=idly*tSDQS-tFDQS[idly % FINE_STEPS]-dly_ps ######################
periods-=1
dly_ps+=clk_period
if quiet < 3: if quiet < 3:
print ("maxDlyErr=",maxDlyErr)
print ("min_max_periods=",min_max_periods)
print ("dqsi_phase_multi=",dqsi_phase_multi)
print ("dqsi_phase_err=",dqsi_phase_err)
for phase,d in enumerate(data_set): for phase,d in enumerate(data_set):
print ("%d"%(phase),end=" ") print ("%d"%(phase),end=" ")
if (not d is None) and (not d[lane] is None) and (not d[lane][0] is None): if (not d is None) and (not d[lane] is None) and (not d[lane][0] is None):
...@@ -1827,13 +1965,27 @@ class X393LMA(object): ...@@ -1827,13 +1965,27 @@ class X393LMA(object):
print ("%f"%(dly), end=" ") print ("%f"%(dly), end=" ")
else: else:
print ("?", end=" ") print ("?", end=" ")
if not dqsi_phase[phase] is None: if not dqsi_phase_multi[phase] is None:
print("%f"%(dqsi_phase[phase]),end=" ") for periods in range (min_max_periods[0],min_max_periods[1]+1):
try:
print("%f"%(dqsi_phase_multi[phase][periods]),end=" ")
except:
print ("?", end=" ")
for periods in range (min_max_periods[0],min_max_periods[1]+1):
try:
print("%.1f"%(dqsi_phase_err[phase][periods]),end=" ")
except:
print ("?", end=" ")
else: else:
print ("?", end=" ") print ("?", end=" ")
print() print()
return {"dqsi_optimal_ps":dqsi_middle_in_ps,
"dqsi_phase":dqsi_phase} return {"dqs_optimal_ps":dqsi_middle_in_ps,
"dqs_phase":dqs_phase,
"dqs_phase_multi":dqsi_phase_multi,
"dqs_phase_err":dqsi_phase_err,
"dqs_min_max_periods":min_max_periods
}
......
py393/x393_mcntrl_adjust.py
View file @ 9b43bdd6
This source diff could not be displayed because it is too large. You can view the blob instead.
py393/x393_mcntrl_timing.py
View file @ 9b43bdd6
...@@ -546,11 +546,18 @@ class X393McntrlTiming(object): ...@@ -546,11 +546,18 @@ class X393McntrlTiming(object):
if dqm_patt is None: if dqm_patt is None:
dqm_patt=vrlg.DFLT_DQM_PATTERN dqm_patt=vrlg.DFLT_DQM_PATTERN
patt = (dqs_patt & 0xff) | ((dqm_patt & 0xff) << 8) patt = (dqs_patt & 0xff) | ((dqm_patt & 0xff) << 8)
if quiet <2 : vrlg.dqs_dqm_patt=patt
print("SET DQS+DQM PATTERNS, patt= 0x%08x"%patt) if quiet < 2 :
print("axi_set_dqs_dqm_patterns(): SET DQS+DQM PATTERNS, patt= 0x%08x (TODO:reduce quiet threshold)"%patt)
# set patterns for DM (always 0) and DQS - always the same (may try different for write lev.) # set patterns for DM (always 0) and DQS - always the same (may try different for write lev.)
self.x393_axi_tasks.write_contol_register(vrlg.MCONTR_PHY_16BIT_ADDR + vrlg.MCONTR_PHY_16BIT_PATTERNS, patt) # 32'h0055); self.x393_axi_tasks.write_contol_register(vrlg.MCONTR_PHY_16BIT_ADDR + vrlg.MCONTR_PHY_16BIT_PATTERNS, patt) # 32'h0055);
def get_dqs_dqm_patterns(self):
#print ('vrlg.dqs_dqm_patt=',vrlg.dqs_dqm_patt)
try:
return (vrlg.dqs_dqm_patt & 0xff,(vrlg.dqs_dqm_patt >> 8) & 0xff)
except:
return None
def util_test4(self): def util_test4(self):
# print("vrlg.globals():") # print("vrlg.globals():")
# print(vrlg.globals()) # print(vrlg.globals())
......
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