1- ## Unreleased
1+ ## v1.2.3 (April 11, 2024)
22
33### New features
4- * Update S3ClientConfig to pass in the configuration for allowing unsigned requests, under boolean flag ` unsigned ` .
5- * Improve the performance of ` s3reader ` when utilized with ` pytorch.load ` by incorporating support for the ` readinto ` method.
6- * Add support for passing an optional custom endpoint to S3LightningCheckpoint constructor method.
4+ * Update ` S3ClientConfig ` to pass in the configuration for allowing unsigned requests, under boolean flag ` unsigned ` .
5+ * Improve the performance of ` S3Reader ` when utilized with ` pytorch.load ` by incorporating support for the ` readinto ` method.
6+ * ** [ Experimental ] ** Add support for passing an optional custom endpoint to ` S3LightningCheckpoint ` constructor method.
77
8+ ### Breaking changes
9+ * No breaking changes.
810
911## v1.2.2 (March 22, 2024)
1012
1113### New features
12- * Expose a new class, S3ClientConfig, with ` throughput_target_gbps ` and ` part_size ` parameters of the inner S3 client.
14+ * Expose a new class, ` S3ClientConfig ` , with ` throughput_target_gbps ` and ` part_size ` parameters of the inner S3 client.
15+
16+ ### Breaking changes
17+ * No breaking changes.
1318
1419## v1.2.1 (March 14, 2024)
1520
1621### Breaking changes
1722* Separate completely Rust logs and Python logs. Logs from Rust components used for debugging purposes
18- are configured through the following environment variables: S3_TORCH_CONNECTOR_DEBUG_LOGS,
19- S3_TORCH_CONNECTOR_LOGS_DIR_PATH.
23+ are configured through the following environment variables: ` S3_TORCH_CONNECTOR_DEBUG_LOGS ` ,
24+ ` S3_TORCH_CONNECTOR_LOGS_DIR_PATH ` .
2025
2126## v1.2.0 (March 13, 2024)
2227
@@ -72,7 +77,8 @@ S3_TORCH_CONNECTOR_LOGS_DIR_PATH.
7277
7378### New features
7479* Update crates and Mountpoint dependencies.
75- * Avoid excessive memory consumption when utilizing s3map_dataset. Issue [ #89 ] ( https://github.com/awslabs/s3-connector-for-pytorch/issues/89 ) .
80+ * Avoid excessive memory consumption when utilizing ` S3MapDataset ` .
81+ Issue [ #89 ] ( https://github.com/awslabs/s3-connector-for-pytorch/issues/89 ) .
7682* Run all tests against S3 and S3 Express.
7783
7884### Breaking changes
@@ -92,10 +98,10 @@ S3_TORCH_CONNECTOR_LOGS_DIR_PATH.
9298* The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.
9399
94100### New features
95- * S3IterableDataset and S3MapDataset, which allow building either an iterable-style or map-style dataset, using your S3
101+ * ` S3IterableDataset ` and ` S3MapDataset ` , which allow building either an iterable-style or map-style dataset, using your S3
96102stored data, by specifying an S3 URI (a bucket and optional prefix) and the region the bucket is in.
97103* Support for multiprocess data loading for the above datasets.
98- * S3Checkpoint, an interface for saving and loading model checkpoints directly to and from an S3 bucket.
104+ * ` S3Checkpoint ` , an interface for saving and loading model checkpoints directly to and from an S3 bucket.
99105
100106### Breaking changes
101107* No breaking changes.
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