big reorg, got FPADD to work using new FPADDBase
[ieee754fpu.git] / src / add / unit_test_single.py
1 from random import randint
2 from random import seed
3
4 import sys
5 from sfpy import Float32
6
7 def get_mantissa(x):
8 return 0x7fffff & x
9
10 def get_exponent(x):
11 return ((x & 0x7f800000) >> 23) - 127
12
13 def set_exponent(x, e):
14 return (x & ~0x7f800000) | ((e+127) << 23)
15
16 def get_sign(x):
17 return ((x & 0x80000000) >> 31)
18
19 def is_nan(x):
20 return get_exponent(x) == 128 and get_mantissa(x) != 0
21
22 def is_inf(x):
23 return get_exponent(x) == 128 and get_mantissa(x) == 0
24
25 def is_pos_inf(x):
26 return is_inf(x) and not get_sign(x)
27
28 def is_neg_inf(x):
29 return is_inf(x) and get_sign(x)
30
31 def match(x, y):
32 return (
33 (is_pos_inf(x) and is_pos_inf(y)) or
34 (is_neg_inf(x) and is_neg_inf(y)) or
35 (is_nan(x) and is_nan(y)) or
36 (x == y)
37 )
38
39 def get_case(dut, a, b, mid):
40 yield dut.in_mid.eq(mid)
41 yield dut.in_a.v.eq(a)
42 yield dut.in_a.stb.eq(1)
43 yield
44 yield
45 yield
46 yield
47 a_ack = (yield dut.in_a.ack)
48 assert a_ack == 0
49
50 yield dut.in_a.stb.eq(0)
51
52 yield dut.in_b.v.eq(b)
53 yield dut.in_b.stb.eq(1)
54 yield
55 yield
56 b_ack = (yield dut.in_b.ack)
57 assert b_ack == 0
58
59 yield dut.in_b.stb.eq(0)
60
61 yield dut.out_z.ack.eq(1)
62
63 while True:
64 out_z_stb = (yield dut.out_z.stb)
65 if not out_z_stb:
66 yield
67 continue
68 out_z = yield dut.out_z.v
69 out_mid = yield dut.out_mid
70 yield dut.out_z.ack.eq(0)
71 yield
72 break
73
74 return out_z, out_mid
75
76 def check_case(dut, a, b, z, mid=None):
77 if mid is None:
78 mid = randint(0, 6)
79 out_z, out_mid = yield from get_case(dut, a, b, mid)
80 assert out_z == z, "Output z 0x%x not equal to expected 0x%x" % (out_z, z)
81 assert out_mid == mid, "Output mid 0x%x != expected 0x%x" % (out_mid, mid)
82
83
84 def run_test(dut, stimulus_a, stimulus_b, op):
85
86 expected_responses = []
87 actual_responses = []
88 for a, b in zip(stimulus_a, stimulus_b):
89 mid = randint(0, 6)
90 af = Float32.from_bits(a)
91 bf = Float32.from_bits(b)
92 z = op(af, bf)
93 expected_responses.append((z.get_bits(), mid))
94 #print (af, bf, z)
95 actual = yield from get_case(dut, a, b, mid)
96 actual_responses.append(actual)
97
98 if len(actual_responses) < len(expected_responses):
99 print ("Fail ... not enough results")
100 exit(0)
101
102 for expected, actual, a, b in zip(expected_responses, actual_responses,
103 stimulus_a, stimulus_b):
104 passed = match(expected[0], actual[0])
105 if expected[1] != actual[1]: # check mid
106 print ("MID failed", expected[1], actual[1])
107 sys.exit(0)
108
109 if not passed:
110
111 print ("Fail ... expected:", hex(expected), "actual:", hex(actual))
112
113 print (hex(a))
114 print ("a mantissa:", a & 0x7fffff)
115 print ("a exponent:", ((a & 0x7f800000) >> 23) - 127)
116 print ("a sign:", ((a & 0x80000000) >> 31))
117
118 print (hex(b))
119 print ("b mantissa:", b & 0x7fffff)
120 print ("b exponent:", ((b & 0x7f800000) >> 23) - 127)
121 print ("b sign:", ((b & 0x80000000) >> 31))
122
123 print (hex(expected))
124 print ("expected mantissa:", expected & 0x7fffff)
125 print ("expected exponent:", ((expected & 0x7f800000) >> 23) - 127)
126 print ("expected sign:", ((expected & 0x80000000) >> 31))
127
128 print (hex(actual))
129 print ("actual mantissa:", actual & 0x7fffff)
130 print ("actual exponent:", ((actual & 0x7f800000) >> 23) - 127)
131 print ("actual sign:", ((actual & 0x80000000) >> 31))
132
133 sys.exit(0)
134
135 corner_cases = [0x80000000, 0x00000000, 0x7f800000, 0xff800000,
136 0x7fc00000, 0xffc00000]
137
138 def run_corner_cases(dut, count, op):
139 #corner cases
140 from itertools import permutations
141 stimulus_a = [i[0] for i in permutations(corner_cases, 2)]
142 stimulus_b = [i[1] for i in permutations(corner_cases, 2)]
143 yield from run_test(dut, stimulus_a, stimulus_b, op)
144 count += len(stimulus_a)
145 print (count, "vectors passed")
146
147 def run_test_2(dut, stimulus_a, stimulus_b, op):
148 yield from run_test(dut, stimulus_a, stimulus_b, op)
149 yield from run_test(dut, stimulus_b, stimulus_a, op)
150
151 def run_cases(dut, count, op, fixed_num, num_entries):
152 if isinstance(fixed_num, int):
153 stimulus_a = [fixed_num for i in range(num_entries)]
154 report = hex(fixed_num)
155 else:
156 stimulus_a = fixed_num
157 report = "random"
158
159 stimulus_b = [randint(0, 1<<32) for i in range(num_entries)]
160 yield from run_test_2(dut, stimulus_a, stimulus_b, op)
161 count += len(stimulus_a)
162 print (count, "vectors passed 2^32", report)
163
164 # non-canonical NaNs.
165 stimulus_b = [set_exponent(randint(0, 1<<32), 128) \
166 for i in range(num_entries)]
167 yield from run_test_2(dut, stimulus_a, stimulus_b, op)
168 count += len(stimulus_a)
169 print (count, "vectors passed Non-Canonical NaN", report)
170
171 # -127
172 stimulus_b = [set_exponent(randint(0, 1<<32), -127) \
173 for i in range(num_entries)]
174 yield from run_test_2(dut, stimulus_a, stimulus_b, op)
175 count += len(stimulus_a)
176 print (count, "vectors passed exp=-127", report)
177
178 # nearly zero
179 stimulus_b = [set_exponent(randint(0, 1<<32), -126) \
180 for i in range(num_entries)]
181 yield from run_test_2(dut, stimulus_a, stimulus_b, op)
182 count += len(stimulus_a)
183 print (count, "vectors passed exp=-126", report)
184
185 # nearly inf
186 stimulus_b = [set_exponent(randint(0, 1<<32), 127) \
187 for i in range(num_entries)]
188 yield from run_test_2(dut, stimulus_a, stimulus_b, op)
189 count += len(stimulus_a)
190 print (count, "vectors passed exp=127", report)
191
192 return count
193
194 def run_edge_cases(dut, count, op):
195 #edge cases
196 for testme in corner_cases:
197 count = yield from run_cases(dut, count, op, testme, 10)
198
199 for i in range(100000):
200 stimulus_a = [randint(0, 1<<32) for i in range(10)]
201 count = yield from run_cases(dut, count, op, stimulus_a, 10)
202 return count
203