-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathallreduceOp.py
More file actions
143 lines (107 loc) · 5.02 KB
/
allreduceOp.py
File metadata and controls
143 lines (107 loc) · 5.02 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
import tensorflow as tf
import os
import allreduce
script_dir = os.path.dirname(__file__)
lib_dir = os.path.join(script_dir,'./lib/libtfGPIOps.so')
gpiops_module = tf.load_op_library(lib_dir)
class AllreduceOp():
def __init__(self):
self.size = None
def __call__(self, inputs):
return self.apply(inputs)
def get_size(self):
return self.size
def apply(self, inputs):
raise NotImplementedError()
# AllToOneAllreduce
class AllToOneAllreduceOp(AllreduceOp):
def __init__(self, gaspi_env):
super().__init__()
self.gaspi_allreduce = allreduce.AllToOneAllreduce(gaspi_env)
def setup(self, size, tag=0, chiefRank=0):
if self.size is None:
self.gaspi_allreduce.setup_connections(size, tag, chiefRank)
self.size = size
elif self.size < size:
raise RuntimeError("tried to setup Comprex a second time with a bigger size!")
def apply(self, inputs):
return gpiops_module.alltoone_allreduce_apply(inputs, self.gaspi_allreduce.get())
# Comprex_AllToOneAllreduce
class Comprex_AllToOneAllreduceOp(AllreduceOp):
def __init__(self, gaspi_env):
super().__init__()
self.gaspi_allreduce = allreduce.Comprex_AllToOneAllreduce(gaspi_env)
def setup(self, size, tag=0, chiefRank=0, compression_ratio=0.01, size_factor=1.0):
if self.size is None:
self.gaspi_allreduce.setup_connections(size, tag, chiefRank, compression_ratio, size_factor)
self.size = size
elif self.size < size:
raise RuntimeError("tried to setup Comprex a second time with a bigger size!")
def apply(self, inputs):
return gpiops_module.comprex_alltoone_allreduce_apply(inputs, self.gaspi_allreduce.get())
def flush(self, inputs):
return gpiops_module.comprex_alltoone_allreduce_flush(inputs, self.gaspi_allreduce.get())
def set_compression_ratio(self, compression_ratio):
self.gaspi_allreduce.set_compression_ratio(compression_ratio)
# RingAllreduce
class RingAllreduceOp(AllreduceOp):
def __init__(self, gaspi_env):
super().__init__()
self.gaspi_allreduce = allreduce.RingAllreduce(gaspi_env)
def setup(self, size, tag=0):
if self.size is None:
self.gaspi_allreduce.setup_connections(size, tag)
self.size = size
elif self.size < size:
raise RuntimeError("tried to setup Comprex a second time with a bigger size!")
def apply(self, inputs):
return gpiops_module.ring_allreduce_apply(inputs, self.gaspi_allreduce.get())
# Comprex_RingAllreduce
class Comprex_RingAllreduceOp(AllreduceOp):
def __init__(self, gaspi_env):
super().__init__()
self.gaspi_allreduce = allreduce.Comprex_RingAllreduce(gaspi_env)
def setup(self, size, tag=0, compression_ratio=0.01, size_factor=1.0):
if self.size is None:
self.gaspi_allreduce.setup_connections(size, tag, compression_ratio, size_factor)
self.size = size
elif self.size < size:
raise RuntimeError("tried to setup Comprex a second time with a bigger size!")
def reset(self):
self.gaspi_allreduce.reset()
def apply(self, inputs):
return gpiops_module.comprex_ring_allreduce_apply(inputs, self.gaspi_allreduce.get())
def flush(self, inputs):
return gpiops_module.comprex_ring_allreduce_flush(inputs, self.gaspi_allreduce.get())
def set_compression_ratio(self, compression_ratio):
self.gaspi_allreduce.set_compression_ratio(compression_ratio)
# BigRingAllreduce
class BigRingAllreduceOp(AllreduceOp):
def __init__(self, gaspi_env):
super().__init__()
self.gaspi_allreduce = allreduce.BigRingAllreduce(gaspi_env)
def setup(self, size, tag=0):
if self.size is None:
self.gaspi_allreduce.setup_connections(size, tag)
self.size = size
elif self.size < size:
raise RuntimeError("tried to setup Comprex a second time with a bigger size!")
def apply(self, inputs):
return gpiops_module.bigring_allreduce_apply(inputs, self.gaspi_allreduce.get())
# Comprex_BigRingAllreduce
class Comprex_BigRingAllreduceOp(AllreduceOp):
def __init__(self, gaspi_env):
super().__init__()
self.gaspi_allreduce = allreduce.Comprex_BigRingAllreduce(gaspi_env)
def setup(self, size, tag=0, compression_ratio=0.01, size_factor=1.0):
if self.size is None:
self.gaspi_allreduce.setup_connections(size, tag, compression_ratio, size_factor)
self.size = size
elif self.size < size:
raise RuntimeError("tried to setup Comprex a second time with a bigger size!")
def apply(self, inputs):
return gpiops_module.comprex_bigring_allreduce_apply(inputs, self.gaspi_allreduce.get())
def flush(self, inputs):
return gpiops_module.comprex_bigring_allreduce_flush(inputs, self.gaspi_allreduce.get())
def set_compression_ratio(self, compression_ratio):
self.gaspi_allreduce.set_compression_ratio(compression_ratio)