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chore(ci): disable continue-on-error for all test jobs in CI workflow #1968

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merged 7 commits into from
Feb 3, 2025
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chore(ci): disable continue-on-error for all test jobs in CI workflow #1968

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4987876
Revert "ci: enable continue-on-error for all test jobs in CI workflow"
Qazalbash Feb 1, 2025
bc015c4
fix(tests): increase tolerance levels in logistic regression and beta…
Qazalbash Feb 1, 2025
78c51a7
fix(tests): update PRNGKey initialization and tolerance levels in wei…
Qazalbash Feb 1, 2025
f5fbef5
Update test_stein_loss.py
OlaRonning Feb 2, 2025
f112f02
Update test_stein_loss.py
OlaRonning Feb 2, 2025
64bc835
Update test_dcc.py
OlaRonning Feb 3, 2025
32a385e
Update test_dcc.py
OlaRonning Feb 3, 2025
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2 changes: 1 addition & 1 deletion test/contrib/einstein/test_stein_loss.py
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Expand Up @@ -80,7 +80,7 @@ def stein_loss_fn(chosen_particle, obs, particles, assign):
xs = jnp.array([-1, 0.5, 3.0])
num_particles = xs.shape[0]
particles = {"x": xs}
zs = jnp.array([-0.1241799, -0.65357316, -0.96147573]) # from inspect
zs = jnp.array([-3.3022664, -1.06049, 0.64527285]) # from inspect
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could we just replicate the logic to generate zs here? @OlaRonning

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Yeah, that should be possible. I'll have a look at it now.


flat_particles, unravel_pytree, _ = batch_ravel_pytree(particles, nbatch_dims=1)

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