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users/zeyer/experiments/exp2026_05_26_slow_fast_rna_rz.py

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@@ -334,6 +334,11 @@ def _train_rnnt_mono_fullsum_rz():
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train_def=rnnt_fullsum_training,
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recog_def=rnnt_model_recog,
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target_mode="labels",
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# The full-size model OOMs at the standard 8M batch:
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# the packed joiner grid comes on top of the fixed model/optimizer memory.
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# 4.8M fits with margin; the -small pair keeps the standard batch,
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# so the controlled framewise-vs-fullsum comparison lives there.
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extra_config={"batch_size": 30_000 * configs._batch_size_factor},
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)
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