75e78022d2df350ea220cee1b5e759ef9fc35a5b,test/test_gpu.py,,test_gpu_sinkhorn,#,20
Before Change
b = rng.rand(n_samples, 100)
time1 = time.time()
transport = ot.da.OTDA_sinkhorn()
transport.fit(a, b)
G1 = transport.G
time2 = time.time()
transport = ot.gpu.da.OTDA_sinkhorn()
transport.fit(a, b)
After Change
a = rng.rand(n_samples // 4, 100)
b = rng.rand(n_samples, 100)
wa = ot.unif(n_samples // 4)
wb = ot.unif(n_samples)
M = ot.dist(a.copy(), b.copy())
M2 = ot.gpu.dist(a.copy(), b.copy(), to_numpy=False)
reg = 1
G = ot.sinkhorn(wa, wb, M, reg)
G1 = ot.gpu.sinkhorn(wa, wb, M, reg)
np.testing.assert_allclose(G1, G, rtol=1e-10)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: rflamary/POT
Commit Name: 75e78022d2df350ea220cee1b5e759ef9fc35a5b
Time: 2018-09-24
Author: remi.flamary@gmail.com
File Name: test/test_gpu.py
Class Name:
Method Name: test_gpu_sinkhorn
Project Name: rflamary/POT
Commit Name: 75e78022d2df350ea220cee1b5e759ef9fc35a5b
Time: 2018-09-24
Author: remi.flamary@gmail.com
File Name: test/test_gpu.py
Class Name:
Method Name: test_gpu_sinkhorn_lpl1
Project Name: biolab/orange3
Commit Name: cdb5e9305ddcac7940caa9ee7532b80fa2f8c183
Time: 2017-05-12
Author: ales.erjavec@fri.uni-lj.si
File Name: Orange/projection/manifold.py
Class Name: MDS
Method Name: __call__