提交 d88ebe2b authored 作者: JesseLivezey's avatar JesseLivezey

removed cuda versions and gpus from new timing

上级 bbdbbb31
......@@ -127,13 +127,13 @@ parser.add_option('--print_only', action='store_true', dest='print_only',
default=False,
help="If true, do not perform gemm computations")
parser.add_option('-M', '--M', action='store', dest='M',
default=2000, type="int",
default=0, type="int",
help="The M size to gemm")
parser.add_option('-N', '--N', action='store', dest='N',
default=2000, type="int",
default=0, type="int",
help="The N size to gemm")
parser.add_option('-K', '--K', action='store', dest='K',
default=2000, type="int",
default=0, type="int",
help="The K size to gemm")
parser.add_option('--iter', action='store', dest='iter',
default=10, type="int",
......@@ -143,9 +143,6 @@ parser.add_option('--order', action='store', dest='order',
help="The numpy memory layout parameter used when creating"
" the numpy.ndarray objects. It accepts 'C' for C memory"
" order and 'F' for Fortran order (for all matrices).")
parser.add_option('--small_only', action='store_true', dest='small_only',
default=False,
help="If true, additionally perform gemm on large matrices.")
parser.add_option('-B', '--B', action='store', dest='B',
default=5000, type="int",
help="The M, N, and K for big gemm")
......@@ -252,7 +249,7 @@ if __name__ == "__main__":
with matrices of shape 5000x5000 (M=N=K=5000).
All memory layout was in C order.
cuda version 6.5 6.0 5.5 5.0 4.2 4.1 4.0 3.2 3.0 # note
cuda version 7.5 7.0 6.5
gpu
K6000/NOECC
K40 0.88s
......@@ -277,21 +274,6 @@ if __name__ == "__main__":
GTX 580
GTX 480
GTX 750 Ti
GTX 470
GTX 660
GTX 560
GTX 650 Ti
GTX 765M
GTX 460
GTX 285
750M
GT 610
GTX 550 Ti
GT 520
520M
GT 220
GT 210
8500 GT
""")
t, impl = execute(not options.print_only, not options.quiet,
......
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