diff --git a/README.md b/README.md
index 2670485582c42e7723045e94888ed508a18b3855..c4b5fe003b931dd6d36eb8bf78ba8fb6ccffdcfe 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,8 @@
# loafty
-
-
+
+
+[](https://opensource.org/licenses/Apache-2.0)
This repository serves as a Python test bed for evaluating the performance
of crosslet statistic (XST) all-sky imaging for LOFAR2.0 with the vision on
@@ -37,6 +38,12 @@ pip install .
tox -e py310
```
+To evaluate the performance run, this might take some time:
+
+```shell
+tox -e performance
+```
+
## Results CPU
| CPU | Algorithm | X | Y | Mean | Min | Max | std dev |
diff --git a/loafty/imaging/__init__.py b/loafty/imaging/__init__.py
index 4d6b181003d22c414944450adecf307592869990..447ddf43cac8f5e4d8a33e3702c21f9509f6bea0 100644
--- a/loafty/imaging/__init__.py
+++ b/loafty/imaging/__init__.py
@@ -8,10 +8,18 @@ from ._simple import sky_imager_simple
try:
from ._cupy import sky_imager_cupy # noqa
- __all__ = ["sky_imager_cupy", "sky_imager_numpy_ravel_32", "sky_imager_numpy_np_exp"]
+ __all__ = [
+ "sky_imager_cupy",
+ "sky_imager_numpy_ravel_32",
+ "sky_imager_numpy_np_exp",
+ ]
sky_imager = sky_imager_cupy
except ImportError:
- __all__ = ["sky_imager_numpy_ravel_32", "sky_imager_numpy_np_exp", "sky_imager_simple"]
+ __all__ = [
+ "sky_imager_numpy_ravel_32",
+ "sky_imager_numpy_np_exp",
+ "sky_imager_simple",
+ ]
sky_imager = sky_imager_numpy_ravel_32
diff --git a/loafty/imaging/_simple.py b/loafty/imaging/_simple.py
index fcaaf37666dc8830cb0d33a3132e7f70513bdfcc..e4ae76bbb5f774b0dbf1aef277e468a0f79d7296 100644
--- a/loafty/imaging/_simple.py
+++ b/loafty/imaging/_simple.py
@@ -31,7 +31,7 @@ def sky_imager_simple(
for l_ix in range(npix_l):
for m_ix in range(npix_m):
- img[npix_l-l_ix-1, npix_m-m_ix-1] = np.mean(
+ img[npix_l - l_ix - 1, npix_m - m_ix - 1] = np.mean(
visibilities
* np.exp(
-2j
@@ -73,15 +73,22 @@ def sky_imager_simple_numba(
l = 1 - l_ix * 2 / npix_l
n = np.sqrt(1 - l * l - m * m) - 1
img[m_ix, l_ix] = np.mean(
- visibilities * np.exp(
- -2j * np.pi * freq *
- (baselines[:, :, 0] * l +
- baselines[:, :, 1] * m +
- baselines[:, :, 2] * n) /
- SPEED_OF_LIGHT
- )
+ visibilities
+ * np.exp(
+ -2j
+ * np.pi
+ * freq
+ * (
+ baselines[:, :, 0] * l
+ + baselines[:, :, 1] * m
+ + baselines[:, :, 2] * n
)
+ / SPEED_OF_LIGHT
+ )
+ )
return np.real(img)
+
+
#
#
# def sky_imager_cupy(visibilities, baselines, freq, npix_l, npix_m):
diff --git a/tests/measurements/data.py b/tests/measurements/data.py
index fd9b8abdda49aeba5795a44f8fcf48e884743621..e38f6341b622ca3c47acb168b1eac02dfc3fc92f 100644
--- a/tests/measurements/data.py
+++ b/tests/measurements/data.py
@@ -8,7 +8,7 @@ class MeasureData:
@dataclass
class ResultData:
- min: float = float('inf')
- max: float = float('-inf')
+ min: float = float("inf")
+ max: float = float("-inf")
mean: float = 0.0
std: float = 0.0
diff --git a/tests/test_xst_imaging.py b/tests/test_xst_imaging.py
index 7b8f071a326922fd6b44fa67b282715ab8986a3c..109e0059c01cbfa3a77702a9e7570ce3c97f7bc9 100644
--- a/tests/test_xst_imaging.py
+++ b/tests/test_xst_imaging.py
@@ -8,6 +8,7 @@ import logging
import math
import os
import time
+from typing import Callable, Optional
import numpy as np
@@ -29,6 +30,20 @@ logger = logging.getLogger()
class TestXstImaging(BaseTestCase):
"""Test performance and verify correctness of xst all-sky imaging"""
+ @classmethod
+ def setUpClass(cls):
+ cls.measure_performance = False
+ if os.getenv("MEASURE_PERFORMANCE"):
+ cls.measure_performance = True
+
+ if cls.measure_performance:
+ logger.info("Running performance analysis, this might take a while")
+ else:
+ logger.info(
+ "Verifying image results only, use `tox -e performance` to analyse "
+ "performace"
+ )
+
def setUp(self):
self.baselines = np.load(
os.path.join(os.path.dirname(__file__), "baselines.npy")
@@ -42,8 +57,11 @@ class TestXstImaging(BaseTestCase):
# )
# np.save("image", self.image)
- def _measure_imager(self, fn, name, x=205, y=205):
- measure = Measure(Settings(iterations=30, image_size_x=x, image_size_y=y))
+ def _measure_imager(self, fn: Callable, name: str, x: int = 205, y: int = 205):
+ if not self.measure_performance:
+ return
+
+ measure = Measure(Settings(iterations=2, image_size_x=x, image_size_y=y))
measure.run(
lambda var_x, var_y: fn(
self.visibilities[0], self.baselines, self.frequency, var_x, var_y
@@ -52,10 +70,16 @@ class TestXstImaging(BaseTestCase):
result = measure.compute()
logger.info(
"[%s]: min: %.2f max: %.2f, mean: %.2f, stddev: %.2f",
- name, result.min, result.max, result.mean, result.std
+ name,
+ result.min,
+ result.max,
+ result.mean,
+ result.std,
)
- def _verify_imager(self, fn, fn2=None, x=205, y=205):
+ def _verify_imager(
+ self, fn: Callable, fn2: Optional[Callable] = None, x: int = 205, y: int = 205
+ ):
"""Compare against precomputed stored results or two implementations
:warning: This method relies on L, M, and N being derived in the same way across
@@ -65,16 +89,23 @@ class TestXstImaging(BaseTestCase):
"""
if fn2 is None:
- reference_image = np.load(os.path.join(os.path.dirname(__file__), f"image_{x}_{y}.npy"))
+ reference_image = np.load(
+ os.path.join(os.path.dirname(__file__), f"image_{x}_{y}.npy")
+ )
else:
- reference_image = lambda var_x, var_y: fn2(
+
+ def reference_image(var_x, var_y):
+ return fn2(
+ self.visibilities[0], self.baselines, self.frequency, var_x, var_y
+ )
+
+ reference_image = reference_image(x, y)
+
+ def result_image(var_x, var_y):
+ return fn(
self.visibilities[0], self.baselines, self.frequency, var_x, var_y
)
- reference_image = reference_image(x, y)
- result_image = lambda var_x, var_y: fn(
- self.visibilities[0], self.baselines, self.frequency, var_x, var_y
- )
result_image = result_image(x, y)
# Can be used for diagnostic comparison of differences
@@ -84,27 +115,26 @@ class TestXstImaging(BaseTestCase):
# Create a circle as mask just below unit length. and remove those results from
# the evaluation. The (all-sky imaging) computation does not resolve beyond the
- # horizon. This boundary can shift slightly due to numerical error.
- npix_l, npix_m = np.meshgrid(
- np.linspace(-1, 1, x), np.linspace(1, -1, y)
- )
+ # horizon. This boundary can shift slightly due to numerical error between
+ # implementations.
+ npix_l, npix_m = np.meshgrid(np.linspace(-1, 1, x), np.linspace(1, -1, y))
c = npix_l**2 + npix_m**2 < 0.99
reference_image = np.where(c, reference_image, float("nan"))
result_image = np.where(c, result_image, float("nan"))
- np.testing.assert_allclose(
- reference_image, result_image, rtol=1e-04
- )
+ np.testing.assert_allclose(reference_image, result_image, rtol=1e-04)
def test_sky_imager_simple(self):
+ """Testing the performance and verifying of simple imager"""
self._verify_imager(sky_imager_simple)
- # self._measure_imager(sky_imager_simple, "sky imager simple")
+ self._measure_imager(sky_imager_simple, "sky imager simple")
def test_sky_imager_numpy_np_exp(self):
+ """Testing the performance and verifying of numpy exp imager"""
self._verify_imager(sky_imager_numpy_np_exp)
- # self._measure_imager(sky_imager_numpy_np_exp, "sky imager numpy exp")
+ self._measure_imager(sky_imager_numpy_np_exp, "sky imager numpy exp")
def test_sky_imager_numpy_ravel_32(self):
- """Testing the performance of ravelling numpy imager"""
+ """Testing the performance and verifying of ravelling numpy imager"""
self._verify_imager(sky_imager_numpy_ravel_32)
- # self._measure_imager(sky_imager_numpy_ravel_32, "sky imager numpy ravel")
+ self._measure_imager(sky_imager_numpy_ravel_32, "sky imager numpy ravel")
diff --git a/tox.ini b/tox.ini
index b839b2aa19179944da7fe598c364966e1b77719d..3b1fe109c8ca68b134d92f146905df7c42f08a5f 100644
--- a/tox.ini
+++ b/tox.ini
@@ -19,6 +19,10 @@ commands =
{envpython} --version
{envpython} -m pytest -v -rP --log-level=DEBUG {posargs}
+[testenv:performance]
+setenv =
+ MEASURE_PERFORMANCE=1
+
[testenv:coverage]
commands =
{envpython} --version