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feat: add benchmark for gradient w/ moffat #187

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Merged
beckermr merged 1 commit into from
Feb 9, 2026
Merged

feat: add benchmark for gradient w/ moffat #187

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24 changes: 24 additions & 0 deletions tests/jax/test_benchmarks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -336,3 +336,27 @@ def test_benchmark_moffat_conv(benchmark, kind):
benchmark, kind, lambda: _run_moffat_bench_conv_jit().block_until_ready()
)
print(f"time: {dt:0.4g} ms", end=" ")


def _run_moffat_bench_conv_grad(scale_radius):
obj = jgs.Spergel(nu=-0.6, scale_radius=scale_radius)
psf = jgs.Moffat(beta=2.5, fwhm=0.9)
obj = jgs.Convolve(
[obj, psf],
gsparams=jgs.GSParams(minimum_fft_size=2048, maximum_fft_size=2048),
)
return jnp.sum(obj.drawImage(nx=50, ny=50, scale=0.2).array ** 2)


_run_moffat_bench_conv_grad_jit = jax.jit(jax.grad(_run_moffat_bench_conv_grad))


@pytest.mark.parametrize("kind", ["run"])
def test_benchmark_moffat_conv_grad(benchmark, kind):
scale_radius = jnp.array(0.5)
dt = _run_benchmarks(
benchmark,
kind,
lambda: _run_moffat_bench_conv_grad_jit(scale_radius).block_until_ready(),
)
print(f"time: {dt:0.4g} ms", end=" ")