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import argparse
import sys
import torch
from .utils import gen_sparse_csr, gen_sparse_coo, gen_sparse_coo_and_csr, Event
def test_sparse_csr(m, nnz, test_count):
start_timer = Event(enable_timing=True)
stop_timer = Event(enable_timing=True)
csr = gen_sparse_csr((m, m), nnz)
vector = torch.randn(m, dtype=torch.double)
times = []
for _ in range(test_count):
start_timer.record()
csr.matmul(vector)
stop_timer.record()
times.append(start_timer.elapsed_time(stop_timer))
return sum(times) / len(times)
def test_sparse_coo(m, nnz, test_count):
start_timer = Event(enable_timing=True)
stop_timer = Event(enable_timing=True)
coo = gen_sparse_coo((m, m), nnz)
vector = torch.randn(m, dtype=torch.double)
times = []
for _ in range(test_count):
start_timer.record()
coo.matmul(vector)
stop_timer.record()
times.append(start_timer.elapsed_time(stop_timer))
return sum(times) / len(times)
def test_sparse_coo_and_csr(m, nnz, test_count):
start = Event(enable_timing=True)
stop = Event(enable_timing=True)
coo, csr = gen_sparse_coo_and_csr((m, m), nnz)
vector = torch.randn(m, dtype=torch.double)
times = []
for _ in range(test_count):
start.record()
coo.matmul(vector)
stop.record()
times.append(start.elapsed_time(stop))
coo_mean_time = sum(times) / len(times)
times = []
for _ in range(test_count):
start.record()
csr.matmul(vector)
stop.record()
times.append(start.elapsed_time(stop))
csr_mean_time = sum(times) / len(times)
return coo_mean_time, csr_mean_time
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="SpMV")
parser.add_argument("--format", default='csr', type=str)
parser.add_argument("--m", default='1000', type=int)
parser.add_argument("--nnz_ratio", default='0.1', type=float)
parser.add_argument("--outfile", default='stdout', type=str)
parser.add_argument("--test_count", default='10', type=int)
args = parser.parse_args()
if args.outfile == 'stdout':
outfile = sys.stdout
elif args.outfile == 'stderr':
outfile = sys.stderr
else:
outfile = open(args.outfile, "a")
test_count = args.test_count
m = args.m
nnz_ratio = args.nnz_ratio
nnz = int(nnz_ratio * m * m)
if args.format == 'csr':
time = test_sparse_csr(m, nnz, test_count)
elif args.format == 'coo':
time = test_sparse_coo(m, nnz, test_count)
elif args.format == 'both':
time_coo, time_csr = test_sparse_coo_and_csr(m, nnz, test_count)
if args.format != 'both':
print("format=", args.format, " nnz_ratio=", nnz_ratio, " m=", m,
" time=", time, file=outfile)
else:
print("format=coo", " nnz_ratio=", nnz_ratio, " m=", m,
" time=", time_coo, file=outfile)
print("format=csr", " nnz_ratio=", nnz_ratio, " m=", m,
" time=", time_csr, file=outfile)
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