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8 changes: 4 additions & 4 deletions drjax/_src/primitives.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,7 @@ def _define_broadcast_prim(
def broadcast_prim_fn(x, *, mesh=None):
return broadcast_p.bind(x, mesh=mesh)

return (broadcast_p, broadcast_prim_fn)
return (broadcast_p, broadcast_prim_fn) # pyrefly: ignore[bad-return]


def _register_broadcast_impls(
Expand Down Expand Up @@ -249,7 +249,7 @@ def _batch_agg(xs, batched_shape):
# Certain jax libs can silently insert the 'batching' dim 'all the way at
# the front'; we are about to destroy the front axis by agging, so move
# that puppy to the back. Tell the rest of JAX what happened here.
xs = jnp.moveaxis(*xs, *batched_shape, -1)
xs = jnp.moveaxis(*xs, *batched_shape, -1) # pyrefly: ignore[bad-argument-count]
return agg_prim_fn(xs), len(xs.shape) - 2

# Make sure this can also be batched / mapped. This happens when dispatching
Expand Down Expand Up @@ -301,7 +301,7 @@ def broadcast_array_eval(x, *, mesh):
_register_broadcast_impls(
broadcast_p,
broadcast_prim_fn,
broadcast_array_eval,
broadcast_array_eval, # pyrefly: ignore[bad-argument-type]
sum_prim_fn,
placement_str,
n_elements,
Expand All @@ -317,7 +317,7 @@ def broadcast_array_eval(x, *, mesh):
mean_p,
mean_prim_fn,
impl_defs.mean_from_placement,
lambda x: jnp.divide(broadcast_prim_fn(x), n_elements),
lambda x: jnp.divide(broadcast_prim_fn(x), n_elements), # pyrefly: ignore[bad-argument-type]
)


Expand Down
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