Use mountpoint-s3-client-0.8.1 and mountpoint-s3-crt-0.7.0. (awslabs#202

)

Update version number to 1.2.3.

CHANGELOG.md

@@ -1,22 +1,27 @@
-## Unreleased
+## v1.2.3 (April 11, 2024)
 
 ### New features
-* Update S3ClientConfig to pass in the configuration for allowing unsigned requests, under boolean flag `unsigned`.
-* Improve the performance of `s3reader` when utilized with `pytorch.load` by incorporating support for the `readinto` method.
-* Add support for passing an optional custom endpoint to S3LightningCheckpoint constructor method.
+* Update `S3ClientConfig` to pass in the configuration for allowing unsigned requests, under boolean flag `unsigned`.
+* Improve the performance of `S3Reader` when utilized with `pytorch.load` by incorporating support for the `readinto` method.
+* **[Experimental]** Add support for passing an optional custom endpoint to `S3LightningCheckpoint` constructor method.
 
+### Breaking changes
+* No breaking changes.
 
 ## v1.2.2 (March 22, 2024)
 
 ### New features
-* Expose a new class, S3ClientConfig, with `throughput_target_gbps` and `part_size` parameters of the inner S3 client.
+* Expose a new class, `S3ClientConfig`, with `throughput_target_gbps` and `part_size` parameters of the inner S3 client.
+
+### Breaking changes
+* No breaking changes.
 
 ## v1.2.1 (March 14, 2024)
 
 ### Breaking changes
 * Separate completely Rust logs and Python logs. Logs from Rust components used for debugging purposes 
-are configured through the following environment variables: S3_TORCH_CONNECTOR_DEBUG_LOGS, 
-S3_TORCH_CONNECTOR_LOGS_DIR_PATH.
+are configured through the following environment variables: `S3_TORCH_CONNECTOR_DEBUG_LOGS`, 
+`S3_TORCH_CONNECTOR_LOGS_DIR_PATH`.
 
 ## v1.2.0 (March 13, 2024)
 
@@ -72,7 +77,8 @@ S3_TORCH_CONNECTOR_LOGS_DIR_PATH.
 
 ### New features
 * Update crates and Mountpoint dependencies.
-* Avoid excessive memory consumption when utilizing s3map_dataset. Issue [#89](https://github.com/awslabs/s3-connector-for-pytorch/issues/89).
+* Avoid excessive memory consumption when utilizing `S3MapDataset`. 
+Issue [#89](https://github.com/awslabs/s3-connector-for-pytorch/issues/89).
 * Run all tests against S3 and S3 Express.
 
 ### Breaking changes
@@ -92,10 +98,10 @@ S3_TORCH_CONNECTOR_LOGS_DIR_PATH.
 * The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.
 
 ### New features
-* S3IterableDataset and S3MapDataset, which allow building either an iterable-style or map-style dataset, using your S3
+* `S3IterableDataset` and `S3MapDataset`, which allow building either an iterable-style or map-style dataset, using your S3
 stored data, by specifying an S3 URI (a bucket and optional prefix) and the region the bucket is in.
 * Support for multiprocess data loading for the above datasets.
-* S3Checkpoint, an interface for saving and loading model checkpoints directly to and from an S3 bucket.
+* `S3Checkpoint`, an interface for saving and loading model checkpoints directly to and from an S3 bucket.
 
 ### Breaking changes
 * No breaking changes.

s3torchconnector/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "s3torchconnector"
-version = "1.2.2"
+version = "1.2.3"
 description = "S3 connector integration for PyTorch"
 requires-python = ">=3.8,<3.13"
 readme = "README.md"
@@ -23,7 +23,7 @@ classifiers = [
 
 dependencies = [
     "torch >= 2.0.1",
-    "s3torchconnectorclient >= 1.2.2",
+    "s3torchconnectorclient >= 1.2.3",
 ]
 
 [project.optional-dependencies]

s3torchconnectorclient/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "s3torchconnectorclient"
-version = "1.2.2"
+version = "1.2.3"
 edition = "2021"
 publish = false
 license = "BSD-3-Clause"
@@ -19,8 +19,8 @@ built = "0.7"
 pyo3 = { version = "0.19.2" }
 pyo3-log = "0.8.3"
 futures = "0.3.28"
-mountpoint-s3-client = { version = "0.8.0", features = ["mock"] }
-mountpoint-s3-crt = "0.6.2"
+mountpoint-s3-client = { version = "0.8.1", features = ["mock"] }
+mountpoint-s3-crt = "0.7.0"
 log = "0.4.20"
 tracing = { version = "0.1.40", default-features = false, features = ["std", "log"] }
 tracing-subscriber = { version = "0.3.18", features = ["fmt", "env-filter"]}

s3torchconnectorclient/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "s3torchconnectorclient"
-version = "1.2.2"
+version = "1.2.3"
 description = "Internal S3 client implementation for s3torchconnector"
 requires-python = ">=3.8,<3.13"
 readme = "README.md"