-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathflexible_api.py
277 lines (226 loc) · 9.15 KB
/
flexible_api.py
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
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
#
# Copyright (C) 2024, Northwestern University and Argonne National Laboratory
# See COPYRIGHT notice in top-level directory.
#
"""
This example shows how to use `Variable` flexible API methods put_var() and
iput_var() to write a 2D 4-byte integer array in parallel (one is of 4-byte
integer byte and the other float type). It first defines 2 netCDF variables of
sizes
var_zy: NZ*nprocs x NY
var_yx: NY x NX*nprocs
The data partitioning patterns on the 2 variables are row-wise and column-wise,
respectively. Each process writes a subarray of size NZ x NY and NY x NX to
var_zy and var_yx, respectively. Both local buffers have a ghost cell of
length 3 surrounded along each dimension.
To run:
% mpiexec -n num_process python3 flexible_api.py [test_file_name]
Example commands for MPI run and outputs from running ncmpidump on the
output netCDF file produced by this example program:
% mpiexec -n 4 python3 flexible_api.py /tmp/test1.nc
% ncmpidump /tmp/test1.nc
netcdf testfile {
// file format: CDF-5 (big variables)
dimensions:
Z = 20 ;
Y = 5 ;
X = 20 ;
variables:
int var_zy(Z, Y) ;
float var_yx(Y, X) ;
data:
var_zy =
0, 0, 0, 0, 0,
0, 0, 0, 0, 0,
0, 0, 0, 0, 0,
0, 0, 0, 0, 0,
0, 0, 0, 0, 0,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
1, 1, 1, 1, 1,
2, 2, 2, 2, 2,
2, 2, 2, 2, 2,
2, 2, 2, 2, 2,
2, 2, 2, 2, 2,
2, 2, 2, 2, 2,
3, 3, 3, 3, 3,
3, 3, 3, 3, 3,
3, 3, 3, 3, 3,
3, 3, 3, 3, 3,
3, 3, 3, 3, 3 ;
var_yx =
0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3,
0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3,
0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3,
0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3,
0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3 ;
}
"""
import sys, os, argparse
import numpy as np
from mpi4py import MPI
import pnetcdf
def pnetcdf_io(filename, file_format):
NY = 5
NX = 5
NZ = 5
if verbose and rank == 0:
print("Z dimension size = ", NZ)
print("Y dimension size = ", NY)
print("X dimension size = ", NX)
# number of cells at both end of each dimension
ghost_len = 3
# Create the file
f = pnetcdf.File(filename = filename,
mode = 'w',
format = file_format,
comm = comm,
info = None)
# Define dimensions
dim_z = f.def_dim("Z", NZ*nprocs)
dim_y = f.def_dim("Y", NY)
dim_x = f.def_dim("X", NX*nprocs)
# define a variable of size (NZ * nprocs) * NY
var_zy = f.def_var("var_zy", pnetcdf.NC_INT, (dim_z, dim_y))
# define a variable of size NY * (NX * nprocs)
var_yx = f.def_var("var_yx", pnetcdf.NC_FLOAT, (dim_y, dim_x))
# exit define mode
f.enddef()
# create an MPI derived datatype to exclude ghost cells
array_of_sizes = np.array([NZ + 2 * ghost_len, NY + 2 * ghost_len])
array_of_subsizes = np.array([NZ, NY])
array_of_start = np.array([ghost_len, ghost_len])
subarray = MPI.INT.Create_subarray(array_of_sizes,
array_of_subsizes,
array_of_start,
order=MPI.ORDER_C)
subarray.Commit()
# allocate and initialize user buffer
buffer_len = (NZ + 2 * ghost_len) * (NY + 2 * ghost_len)
buf_zy = np.full(buffer_len, rank, dtype=np.int32)
# set the subarray access pattern
start = np.array([NZ * rank, 0])
count = np.array([NZ, NY])
# calling a blocking flexible API using put_var_all()
var_zy.put_var_all(buf_zy, start = start,
count = count,
bufcount = 1,
buftype = subarray)
# check if write buffer's contents are altered (should not be).
for i in range(buffer_len):
if buf_zy[i] != rank:
print(f"Error at line {sys._getframe().f_lineno} in {__file__}: put buffer[{i}] is altered")
# reset contents of user buffer before using it to read back
buf_zy.fill(-1)
# read using flexible API
var_zy.get_var_all(buf_zy, start = start,
count = count,
bufcount = 1,
buftype = subarray)
# check whether contents of the get buffer are expected
for i in range(array_of_sizes[0]):
for j in range(array_of_sizes[1]):
index = i*array_of_sizes[1] + j
if i < ghost_len or \
ghost_len + array_of_subsizes[0] <= i or \
j < ghost_len or ghost_len + array_of_subsizes[1] <= j:
if buf_zy[index] != -1:
print(f"Unexpected get buffer[{i}][{j}]={buf_zy[index]}")
else:
if buf_zy[index] != rank:
print(f"Unexpected get buffer[{i}][{j}]={buf_zy[index]}")
subarray.Free()
# construct an MPI derived datatype to exclude ghost cells
# var_yx is partitioned along X dimension
array_of_sizes = np.array([NY + 2 * ghost_len, NX + 2 * ghost_len])
array_of_subsizes = np.array([NY, NX])
array_of_start = np.array([ghost_len, ghost_len])
subarray = MPI.DOUBLE.Create_subarray(array_of_sizes,
array_of_subsizes,
array_of_start,
order=MPI.ORDER_C)
subarray.Commit()
# initialize write user buffer
buffer_len = (NY + 2 * ghost_len) * (NX + 2 * ghost_len)
buf_yx = np.full(buffer_len, rank, dtype=np.float64)
start = np.array([0, NX * rank])
count = np.array([NY, NX])
# calling a blocking flexible write API
req_id = var_yx.iput_var(buf_yx, start = start,
count = count,
bufcount = 1,
buftype = subarray)
# commit posted pending nonblocking requests
status = [None]
f.wait_all(1, [req_id], status = status)
# check request error for each unsuccessful requests
if pnetcdf.strerrno(status[0]) != "NC_NOERR":
print(f"Error on request {i}:", pnetcdf.strerror(status[0]))
# reset user buffer before using it for reading
buf_yx.fill(-1)
# calling a blocking flexible read API
req_id = var_yx.iget_var(buf_yx, start = start,
count = count,
bufcount = 1,
buftype=subarray)
# commit posted pending nonblocking requests
f.wait_all(1, [req_id], status = status)
# check request error for each unsuccessful requests
if pnetcdf.strerrno(status[0]) != "NC_NOERR":
print(f"Error on request {i}:", pnetcdf.strerror(status[0]))
# check the contents of read buffer
for i in range(array_of_sizes[0]):
for j in range(array_of_sizes[1]):
index = i * array_of_sizes[1] + j
if i < ghost_len or ghost_len + array_of_subsizes[0] <= i or j < ghost_len or ghost_len + array_of_subsizes[1] <= j:
if buf_yx[index] != -1:
print(f"Unexpected get buffer[{i}][{j}]={buf_yx[index]}")
else:
if buf_yx[index] != rank:
print(f"Unexpected get buffer[{i}][{j}]={buf_yx[index]}")
subarray.Free()
# close the file
f.close()
def parse_help():
help_flag = "-h" in sys.argv or "--help" in sys.argv
if help_flag and rank == 0:
help_text = (
"Usage: {} [-h] | [-q] [file_name]\n"
" [-h] Print help\n"
" [-q] Quiet mode (reports when fail)\n"
" [-k format] file format: 1 for CDF-1, 2 for CDF-2, 5 for CDF-5\n"
" [filename] (Optional) output netCDF file name\n"
).format(sys.argv[0])
print(help_text)
return help_flag
if __name__ == "__main__":
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
nprocs = comm.Get_size()
if parse_help():
MPI.Finalize()
sys.exit(1)
# get command-line arguments
args = None
parser = argparse.ArgumentParser()
parser.add_argument("dir", nargs="?", type=str, help="(Optional) output netCDF file name",\
default = "testfile.nc")
parser.add_argument("-q", help="Quiet mode (reports when fail)", action="store_true")
parser.add_argument("-k", help="File format: 1 for CDF-1, 2 for CDF-2, 5 for CDF-5")
args = parser.parse_args()
verbose = False if args.q else True
file_format = None
if args.k:
kind_dict = {'1':None, '2':"NC_64BIT_OFFSET", '5':"NC_64BIT_DATA"}
file_format = kind_dict[args.k]
filename = args.dir
if verbose and rank == 0:
print("{}: example of using flexible APIs".format(os.path.basename(__file__)))
try:
pnetcdf_io(filename, file_format)
except BaseException as err:
print("Error: type:", type(err), str(err))
raise
MPI.Finalize()