83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
import numpy as np
|
|
import unittest
|
|
|
|
from caffe2.python import core, workspace, muji, test_util
|
|
|
|
|
|
@unittest.skipIf(not workspace.has_gpu_support, "no gpu")
|
|
class TestMuji(test_util.TestCase):
|
|
def RunningAllreduceWithGPUs(self, gpu_ids, allreduce_function):
|
|
"""A base function to test different scenarios."""
|
|
net = core.Net("mujitest")
|
|
for id in gpu_ids:
|
|
net.ConstantFill(
|
|
[],
|
|
"testblob_gpu_" + str(id),
|
|
shape=[1, 2, 3, 4],
|
|
value=float(id + 1),
|
|
device_option=muji.OnGPU(id)
|
|
)
|
|
allreduce_function(
|
|
net, ["testblob_gpu_" + str(i)
|
|
for i in gpu_ids], "_reduced", gpu_ids
|
|
)
|
|
workspace.RunNetOnce(net)
|
|
target_value = sum(gpu_ids) + len(gpu_ids)
|
|
all_blobs = workspace.Blobs()
|
|
all_blobs.sort()
|
|
for blob in all_blobs:
|
|
print('{} {}'.format(blob, workspace.FetchBlob(blob)))
|
|
|
|
for idx in gpu_ids:
|
|
blob = workspace.FetchBlob("testblob_gpu_" + str(idx) + "_reduced")
|
|
np.testing.assert_array_equal(
|
|
blob,
|
|
target_value,
|
|
err_msg="gpu id %d of %s" % (idx, str(gpu_ids))
|
|
)
|
|
|
|
def testAllreduceFallback(self):
|
|
self.RunningAllreduceWithGPUs(
|
|
list(range(workspace.NumGpuDevices())), muji.AllreduceFallback
|
|
)
|
|
|
|
def testAllreduceSingleGPU(self):
|
|
for i in range(workspace.NumGpuDevices()):
|
|
self.RunningAllreduceWithGPUs([i], muji.Allreduce)
|
|
|
|
def testAllreduceWithTwoGPUs(self):
|
|
pattern = workspace.GetGpuPeerAccessPattern()
|
|
if pattern.shape[0] >= 2 and np.all(pattern[:2, :2]):
|
|
self.RunningAllreduceWithGPUs([0, 1], muji.Allreduce2)
|
|
else:
|
|
print('Skipping allreduce with 2 gpus. Not peer access ready.')
|
|
|
|
def testAllreduceWithFourGPUs(self):
|
|
pattern = workspace.GetGpuPeerAccessPattern()
|
|
if pattern.shape[0] >= 4 and np.all(pattern[:4, :4]):
|
|
self.RunningAllreduceWithGPUs([0, 1, 2, 3], muji.Allreduce4)
|
|
else:
|
|
print('Skipping allreduce with 4 gpus. Not peer access ready.')
|
|
|
|
def testAllreduceWithFourGPUsAndTwoGroups(self):
|
|
pattern = workspace.GetGpuPeerAccessPattern()
|
|
if pattern.shape[0] >= 4 and np.all(pattern[:2, :2]) and np.all(pattern[2:4, 2:4]):
|
|
self.RunningAllreduceWithGPUs([0, 1, 2, 3], muji.Allreduce4Group2)
|
|
else:
|
|
print('Skipping allreduce with 4 gpus and 2 groups. Not peer access ready.')
|
|
|
|
def testAllreduceWithEightGPUs(self):
|
|
pattern = workspace.GetGpuPeerAccessPattern()
|
|
if (
|
|
pattern.shape[0] >= 8 and np.all(pattern[:4, :4]) and
|
|
np.all(pattern[4:, 4:])
|
|
):
|
|
self.RunningAllreduceWithGPUs(
|
|
list(range(8)), muji.Allreduce8)
|
|
else:
|
|
print('Skipping allreduce with 8 gpus. Not peer access ready.')
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|