From e7c338e4643e459f0c62bcd20b4df0414495123d Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Thu, 25 Sep 2025 00:09:18 +0200 Subject: [PATCH] fix(reforcexy): train frequency handling MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- ReforceXY/user_data/freqaimodels/ReforceXY.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ReforceXY/user_data/freqaimodels/ReforceXY.py b/ReforceXY/user_data/freqaimodels/ReforceXY.py index f4bee38..ec3fc13 100644 --- a/ReforceXY/user_data/freqaimodels/ReforceXY.py +++ b/ReforceXY/user_data/freqaimodels/ReforceXY.py @@ -1930,8 +1930,8 @@ class InfoMetricsCallback(TensorboardCallback): ) -> Optional[int]: train_freq_val: Optional[int] = None if isinstance(train_freq, TrainFreq): - if isinstance(train_freq.freq, int): - train_freq_val = train_freq.freq + if isinstance(train_freq.frequency, int): + train_freq_val = train_freq.frequency elif isinstance(train_freq, (tuple, list)) and train_freq: if isinstance(train_freq[0], int): train_freq_val = train_freq[0] @@ -2448,7 +2448,7 @@ def _compute_gradient_steps(tf: int, ss: int) -> int: def compute_gradient_steps(train_freq: Any, subsample_steps: Any) -> int: tf: Optional[int] = None if isinstance(train_freq, TrainFreq): - tf = train_freq.freq if isinstance(train_freq.freq, int) else None + tf = train_freq.frequency if isinstance(train_freq.frequency, int) else None if isinstance(train_freq, (tuple, list)) and train_freq: tf = train_freq[0] if isinstance(train_freq[0], int) else None elif isinstance(train_freq, int): -- 2.43.0