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add pyrefly suppressions for jax.jit annotation change #34

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Merged
copybara-service merged 1 commit into from
Aug 6, 2026
Merged

add pyrefly suppressions for jax.jit annotation change #34

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2 changes: 1 addition & 1 deletion enn/networks/combiners.py
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Expand Up @@ -145,4 +145,4 @@ def sample_logits(sub_key: chex.PRNGKey) -> chex.Array:

return jax.vmap(sample_logits)(enn_keys)

return jax.jit(enn_batch_fwd)
return jax.jit(enn_batch_fwd) # pyrefly: ignore[bad-return]
2 changes: 1 addition & 1 deletion enn/networks/forwarders.py
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Expand Up @@ -58,4 +58,4 @@ def forward(params: hk.Params, state: hk.State, x: base.Input) -> chex.Array:
net_out, unused_state = batch_apply(params, state, x, indices)
return utils.parse_net_output(net_out)

return jax.jit(forward)
return jax.jit(forward) # pyrefly: ignore[bad-return]
2 changes: 1 addition & 1 deletion enn/supervised/multiloss_experiment.py
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Expand Up @@ -146,7 +146,7 @@ def train(self, num_batches: int):

# Periodically log this performance as dataset=train.
if self.step % self._train_log_freq == 0:
loss_metrics.update({
loss_metrics.update({ # pyrefly: ignore[no-matching-overload]
'dataset': 'train',
'step': self.step,
'sgd': True,
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2 changes: 1 addition & 1 deletion enn/supervised/sgd_experiment.py
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Expand Up @@ -160,7 +160,7 @@ def train(self, num_batches: int):

# Periodically log this performance as dataset=train.
if self.step % self._train_log_freq == 0:
loss_metrics.update(
loss_metrics.update( # pyrefly: ignore[no-matching-overload]
{'dataset': 'train', 'step': self.step, 'sgd': True})
self.logger.write(loss_metrics)

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