summaryrefslogtreecommitdiff
path: root/test/test_gpu.py
diff options
context:
space:
mode:
Diffstat (limited to 'test/test_gpu.py')
-rw-r--r--test/test_gpu.py42
1 files changed, 22 insertions, 20 deletions
diff --git a/test/test_gpu.py b/test/test_gpu.py
index 24797f2..98f59f7 100644
--- a/test/test_gpu.py
+++ b/test/test_gpu.py
@@ -1,5 +1,6 @@
-import ot
+
import numpy as np
+import ot
import time
import pytest
@@ -13,16 +14,16 @@ except ImportError:
@pytest.mark.skipif(nogpu, reason="No GPU available")
def test_gpu_sinkhorn():
- np.random.seed(0)
+ rng = np.random.RandomState(0)
- def describeRes(r):
+ def describe_res(r):
print("min:{:.3E}, max::{:.3E}, mean::{:.3E}, std::{:.3E}".format(
np.min(r), np.max(r), np.mean(r), np.std(r)))
- for n in [50, 100, 500, 1000]:
- print(n)
- a = np.random.rand(n // 4, 100)
- b = np.random.rand(n, 100)
+ for n_samples in [50, 100, 500, 1000]:
+ print(n_samples)
+ a = rng.rand(n_samples // 4, 100)
+ b = rng.rand(n_samples, 100)
time1 = time.time()
transport = ot.da.OTDA_sinkhorn()
transport.fit(a, b)
@@ -33,26 +34,27 @@ def test_gpu_sinkhorn():
G2 = transport.G
time3 = time.time()
print("Normal sinkhorn, time: {:6.2f} sec ".format(time2 - time1))
- describeRes(G1)
+ describe_res(G1)
print(" GPU sinkhorn, time: {:6.2f} sec ".format(time3 - time2))
- describeRes(G2)
+ describe_res(G2)
- assert np.allclose(G1, G2, rtol=1e-5, atol=1e-5)
+ np.testing.assert_allclose(G1, G2, rtol=1e-5, atol=1e-5)
@pytest.mark.skipif(nogpu, reason="No GPU available")
def test_gpu_sinkhorn_lpl1():
- np.random.seed(0)
- def describeRes(r):
+ rng = np.random.RandomState(0)
+
+ def describe_res(r):
print("min:{:.3E}, max:{:.3E}, mean:{:.3E}, std:{:.3E}"
.format(np.min(r), np.max(r), np.mean(r), np.std(r)))
- for n in [50, 100, 500]:
- print(n)
- a = np.random.rand(n // 4, 100)
- labels_a = np.random.randint(10, size=(n // 4))
- b = np.random.rand(n, 100)
+ for n_samples in [50, 100, 500]:
+ print(n_samples)
+ a = rng.rand(n_samples // 4, 100)
+ labels_a = np.random.randint(10, size=(n_samples // 4))
+ b = rng.rand(n_samples, 100)
time1 = time.time()
transport = ot.da.OTDA_lpl1()
transport.fit(a, labels_a, b)
@@ -64,9 +66,9 @@ def test_gpu_sinkhorn_lpl1():
time3 = time.time()
print("Normal sinkhorn lpl1, time: {:6.2f} sec ".format(
time2 - time1))
- describeRes(G1)
+ describe_res(G1)
print(" GPU sinkhorn lpl1, time: {:6.2f} sec ".format(
time3 - time2))
- describeRes(G2)
+ describe_res(G2)
- assert np.allclose(G1, G2, rtol=1e-5, atol=1e-5)
+ np.testing.assert_allclose(G1, G2, rtol=1e-5, atol=1e-5)