From 445203d159d4052b356183e501da58309cffbc4c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Michal=20Ki=C5=A1=C5=A1?= <550439@mail.muni.cz> Date: Fri, 6 Mar 2026 12:35:30 +0100 Subject: [PATCH 1/5] fix: add shm + conditional epithelium mask --- preprocessing/tiling.py | 25 +++++++++++++++++++++---- scripts/preprocessing/run_tiling.py | 5 +++-- 2 files changed, 24 insertions(+), 6 deletions(-) diff --git a/preprocessing/tiling.py b/preprocessing/tiling.py index cf66793..01be2f9 100644 --- a/preprocessing/tiling.py +++ b/preprocessing/tiling.py @@ -23,10 +23,14 @@ from shapely.geometry import box from shapely.geometry.polygon import Polygon - BATCH_SIZE = 256 +def add_missing_epithelium_overlap(batch: DataBatch) -> DataBatch: + batch["epithelium_overlap"] = np.nan + return batch + + def add_tile_overlap( tiles: Dataset, roi: Polygon, @@ -238,9 +242,22 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: tiles = add_tile_overlap( tiles, full_roi, "residual_mask_path", "residual_overlap", "0" ) - tiles = add_tile_overlap( - tiles, full_roi, "epithelium_mask_path", "epithelium_overlap", "0" - ) + if epithelium_masks_path: + print("[INFO] Computing overlap: epithelium_overlap from epithelium_mask_path") + tiles = add_tile_overlap( + tiles, full_roi, "epithelium_mask_path", "epithelium_overlap", "0" + ) + else: + print( + "[INFO] Skipping epithelium overlap: dataset.mlflow_uris.epithelium_masks is not set" + ) + + tiles = tiles.map_batches( + add_missing_epithelium_overlap, + batch_format="pandas", + num_cpus=1, + memory=BATCH_SIZE * 8 * 512**2, + ) # Drop unnecessary columns tiles = tiles.drop_columns( diff --git a/scripts/preprocessing/run_tiling.py b/scripts/preprocessing/run_tiling.py index 134a55d..0811fea 100644 --- a/scripts/preprocessing/run_tiling.py +++ b/scripts/preprocessing/run_tiling.py @@ -5,8 +5,9 @@ job_name="mammaprint-tiling-...", username=..., image="cerit.io/rationai/base:2.0.6", - cpu=8, - memory="32Gi", + cpu=16, + memory="64Gi", + shm="32Gi", gpu=None, public=False, script=[ From 240c4bf8368421d8a9a0dcc0adfba516ab47e70a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Michal=20Ki=C5=A1=C5=A1?= <550439@mail.muni.cz> Date: Sat, 7 Mar 2026 20:28:56 +0100 Subject: [PATCH 2/5] fix: lower memory, bigger repartition --- preprocessing/tiling.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/preprocessing/tiling.py b/preprocessing/tiling.py index 01be2f9..2c177cc 100644 --- a/preprocessing/tiling.py +++ b/preprocessing/tiling.py @@ -82,7 +82,7 @@ def add_tile_overlap( col("mpp_y"), ) tiles = tiles.with_column( - overlap_struct_col, overlap_struct, num_cpus=1, memory=BATCH_SIZE * 8 * 512**2 + overlap_struct_col, overlap_struct, num_cpus=0.2, memory=256 * 1024**2 ) def extract_value(batch: DataBatch) -> DataBatch: @@ -97,8 +97,8 @@ def extract_value(batch: DataBatch) -> DataBatch: tiles = tiles.map_batches( extract_value, batch_format="pandas", - num_cpus=1, - memory=BATCH_SIZE * 8 * 512**2, + num_cpus=0.1, + memory=128 * 1024**2, ) return tiles.drop_columns([overlap_struct_col]) @@ -219,8 +219,8 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: epithelium_masks_path=epithelium_masks_path, ), num_cpus=0.2, - memory=BATCH_SIZE * 1024**2, - ).repartition(target_num_rows_per_block=BATCH_SIZE) + memory=128 * 1024**2, + ).repartition(target_num_rows_per_block=4096) # Compute masks and filter tissue tiles # Tissue mask checks center 50% @@ -255,8 +255,8 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: tiles = tiles.map_batches( add_missing_epithelium_overlap, batch_format="pandas", - num_cpus=1, - memory=BATCH_SIZE * 8 * 512**2, + num_cpus=0.1, + memory=128 * 1024**2, ) # Drop unnecessary columns From 05fda03cf536b2747ac598260449ff5826812f99 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Michal=20Ki=C5=A1=C5=A1?= <550439@mail.muni.cz> Date: Mon, 9 Mar 2026 12:58:17 +0100 Subject: [PATCH 3/5] fix: increase memory constrains --- preprocessing/tiling.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/preprocessing/tiling.py b/preprocessing/tiling.py index 2c177cc..627bad3 100644 --- a/preprocessing/tiling.py +++ b/preprocessing/tiling.py @@ -82,7 +82,7 @@ def add_tile_overlap( col("mpp_y"), ) tiles = tiles.with_column( - overlap_struct_col, overlap_struct, num_cpus=0.2, memory=256 * 1024**2 + overlap_struct_col, overlap_struct, num_cpus=0.2, memory=512 * 1024**2 ) def extract_value(batch: DataBatch) -> DataBatch: @@ -98,7 +98,7 @@ def extract_value(batch: DataBatch) -> DataBatch: extract_value, batch_format="pandas", num_cpus=0.1, - memory=128 * 1024**2, + memory=256 * 1024**2, ) return tiles.drop_columns([overlap_struct_col]) @@ -208,7 +208,7 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: ) # Create unique slide IDs and save slide metadata - slides = slides.map(row_hash, num_cpus=0.1, memory=128 * 1024**2) + slides = slides.map(row_hash, num_cpus=0.1, memory=256 * 1024**2) # Expand slides into tile coordinates tiles = slides.flat_map( @@ -219,7 +219,7 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: epithelium_masks_path=epithelium_masks_path, ), num_cpus=0.2, - memory=128 * 1024**2, + memory=256 * 1024**2, ).repartition(target_num_rows_per_block=4096) # Compute masks and filter tissue tiles @@ -256,7 +256,7 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: add_missing_epithelium_overlap, batch_format="pandas", num_cpus=0.1, - memory=128 * 1024**2, + memory=256 * 1024**2, ) # Drop unnecessary columns From 8f8efd05f9a3a3f18d0e5bb0db3c9c54883e78cb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Michal=20Ki=C5=A1=C5=A1?= <550439@mail.muni.cz> Date: Sat, 14 Mar 2026 11:07:16 +0100 Subject: [PATCH 4/5] fix: change materialize order --- preprocessing/tiling.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/preprocessing/tiling.py b/preprocessing/tiling.py index 627bad3..b744698 100644 --- a/preprocessing/tiling.py +++ b/preprocessing/tiling.py @@ -210,6 +210,11 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: # Create unique slide IDs and save slide metadata slides = slides.map(row_hash, num_cpus=0.1, memory=256 * 1024**2) + # Materialize slides so the source pipeline (read + join + hash) runs once + # and is reused for both slides_df and the tiles pipeline. + slides = slides.materialize() + slides_df = slides.to_pandas() + # Expand slides into tile coordinates tiles = slides.flat_map( partial( @@ -235,6 +240,12 @@ def main(config: DictConfig, logger: MLFlowLogger) -> None: tiles, tissue_roi, "tissue_mask_path", "tissue_overlap", "0" ) tiles = tiles.filter(expr=col("tissue_overlap") > 0.0) + + # Materialize after tissue filter to: + # 1. Lock in the reduction (discard background tiles before computing remaining overlaps) + # 2. 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