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66c9c8a | 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 | # Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.
import numpy as np
import warp as wp
import gc
@wp.kernel
def inc_kernel(a: wp.array(dtype=float)):
tid = wp.tid()
a[tid] = a[tid] + 1.0
@wp.kernel
def dec_kernel(a: wp.array(dtype=float)):
tid = wp.tid()
a[tid] = a[tid] - 1.0
def test_allocs(n, device, do_sync=False):
arrs = [None] * n
with wp.ScopedTimer("allocs"):
for i in range(n):
arrs[i] = wp.zeros(1, device=device)
if do_sync:
wp.synchronize()
return arrs
def test_allocs_v2(n, device, do_sync=False):
arrs = [None] * n
with wp.ScopedTimer("allocs_v2"), wp.ScopedDevice(device):
for i in range(n):
arrs[i] = wp.zeros(1)
if do_sync:
wp.synchronize()
return arrs
def test_launches(n, device, do_sync=False):
arr = wp.zeros(1, dtype=wp.float32, device=device)
wp.synchronize()
with wp.ScopedTimer("launches"):
for _ in range(n):
wp.launch(inc_kernel, dim=arr.size, inputs=[arr], device=device)
wp.launch(dec_kernel, dim=arr.size, inputs=[arr], device=device)
if do_sync:
wp.synchronize()
def test_launches_v2(n, device, do_sync=False):
arr = wp.zeros(1, dtype=wp.float32, device=device)
wp.synchronize()
with wp.ScopedTimer("launches_v2"), wp.ScopedDevice(device):
for _ in range(n):
wp.launch(inc_kernel, dim=arr.size, inputs=[arr])
wp.launch(dec_kernel, dim=arr.size, inputs=[arr])
if do_sync:
wp.synchronize()
def test_copies(n, do_sync=False):
a = wp.zeros(1, dtype=wp.float32, device="cpu")
b = wp.zeros(1, dtype=wp.float32, device="cuda")
c = wp.zeros(1, dtype=wp.float32, device="cuda")
wp.synchronize()
with wp.ScopedTimer("copies"):
for _ in range(n):
wp.copy(b, a)
wp.copy(c, b)
wp.copy(a, c)
if do_sync:
wp.synchronize()
def test_graphs(n, device, do_sync=False):
arr = wp.zeros(1, dtype=wp.float32, device=device)
wp.synchronize()
wp.capture_begin()
wp.launch(inc_kernel, dim=arr.size, inputs=[arr], device=device)
wp.launch(dec_kernel, dim=arr.size, inputs=[arr], device=device)
graph = wp.capture_end()
wp.synchronize()
with wp.ScopedTimer("graphs"):
for _ in range(n):
wp.capture_launch(graph)
if do_sync:
wp.synchronize()
wp.init()
wp.force_load()
device = "cuda"
n = 100000
# make sure the context gets fully initialized now
_a = wp.zeros(1, device=device)
wp.launch(inc_kernel, dim=_a.size, inputs=[_a], device=device)
wp.synchronize()
gc.collect()
test_allocs(n, device)
wp.synchronize()
gc.collect()
test_allocs_v2(n, device)
wp.synchronize()
gc.collect()
test_launches(n, device)
wp.synchronize()
gc.collect()
test_launches_v2(n, device)
wp.synchronize()
gc.collect()
test_copies(n)
wp.synchronize()
gc.collect()
test_graphs(n, device)
wp.synchronize()
gc.collect()
# ========= profiling ==========#
# import cProfile
# cProfile.run('test_allocs(n, device)')
# from pyinstrument import Profiler
# profiler = Profiler()
# profiler.start()
# #arrs = test_allocs(n, device)
# test_launches(n, device)
# #test_copies(n)
# profiler.stop()
# print(profiler.output_text(show_all=True))
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