swh:1:snp:f4c1ad9395dff93a83299e32c295952039ac85ba
Tip revision: ec276104a503c5aadec0212bdf25ce2d993cd7e8 authored by Frank Ong on 04 March 2019, 00:50:10 UTC
Bump version: 0.1.0 → 0.1.1
Bump version: 0.1.0 → 0.1.1
Tip revision: ec27610
test_interp.py
import unittest
import numpy as np
from sigpy import interp, config
if config.cupy_enabled:
import cupy as cp
if __name__ == '__main__':
unittest.main()
class TestInterp(unittest.TestCase):
def test_interpolate(self):
xps = [np]
if config.cupy_enabled:
xps.append(cp)
batch = 2
for xp in xps:
for ndim in [1, 2, 3]:
with self.subTest(ndim=ndim, xp=xp):
shape = [3] + [1] * (ndim - 1)
width = 2.0
kernel = xp.array([1.0, 0.5])
coord = xp.array([[0.1] + [0] * (ndim - 1),
[1.1] + [0] * (ndim - 1),
[2.1] + [0] * (ndim - 1)])
input = xp.array([[0, 1.0, 0]] * batch).reshape(
[batch] + shape)
output = interp.interpolate(input, width, kernel, coord)
output_expected = xp.array([[0.1, 0.9, 0]] * batch)
xp.testing.assert_allclose(output, output_expected,
atol=1e-7)
def test_gridding(self):
xps = [np]
if config.cupy_enabled:
xps.append(cp)
batch = 2
for xp in xps:
for ndim in [1, 2, 3]:
with self.subTest(ndim=ndim, xp=xp):
shape = [3] + [1] * (ndim - 1)
width = 2.0
kernel = xp.array([1.0, 0.5])
coord = xp.array([[0.1] + [0] * (ndim - 1),
[1.1] + [0] * (ndim - 1),
[2.1] + [0] * (ndim - 1)])
input = xp.array([[0, 1.0, 0]] * batch)
output = interp.gridding(
input, [batch] + shape, width, kernel, coord)
output_expected = xp.array(
[[0, 0.9, 0.1]] * batch).reshape([batch] + shape)
xp.testing.assert_allclose(output, output_expected,
atol=1e-7)