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Release v0.2.1 #604

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2 changes: 1 addition & 1 deletion gigl-core/pyproject.toml
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Expand Up @@ -2,7 +2,7 @@
name = "gigl-core"
description = "GiGL C++/CUDA kernels (pybind11 extensions)"
readme = "README.md"
version = "0.2.0"
version = "0.2.1"
requires-python = "==3.11.*"
# Torch is resolved from the ambient environment. gigl-core wheels are ABI-bound
# to the torch variant they were built against (cpu or cu128). The parent `gigl`
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2 changes: 1 addition & 1 deletion gigl/__init__.py
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@@ -1 +1 @@
__version__ = "0.2.0"
__version__ = "0.2.1"
10 changes: 5 additions & 5 deletions gigl/dep_vars.env
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Expand Up @@ -3,11 +3,11 @@ DOCKER_LATEST_BASE_CUDA_IMAGE_NAME_WITH_TAG=us-central1-docker.pkg.dev/external-
DOCKER_LATEST_BASE_CPU_IMAGE_NAME_WITH_TAG=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/gigl-cpu-base:b598f3d72eee47f5513dcb39460944459a0a012f.108.1
DOCKER_LATEST_BASE_DATAFLOW_IMAGE_NAME_WITH_TAG=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/gigl-dataflow-base:b598f3d72eee47f5513dcb39460944459a0a012f.108.1

DEFAULT_GIGL_RELEASE_SRC_IMAGE_CUDA=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/src-cuda:0.2.0
DEFAULT_GIGL_RELEASE_SRC_IMAGE_CPU=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/src-cpu:0.2.0
DEFAULT_GIGL_RELEASE_SRC_IMAGE_DATAFLOW_CPU=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/src-cpu-dataflow:0.2.0
DEFAULT_GIGL_RELEASE_DEV_WORKBENCH_IMAGE=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/gigl-dev-workbench:0.2.0
DEFAULT_GIGL_RELEASE_KFP_PIPELINE_PATH=gs://public-gigl/releases/pipelines/gigl-pipeline-0.2.0.yaml
DEFAULT_GIGL_RELEASE_SRC_IMAGE_CUDA=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/src-cuda:0.2.1
DEFAULT_GIGL_RELEASE_SRC_IMAGE_CPU=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/src-cpu:0.2.1
DEFAULT_GIGL_RELEASE_SRC_IMAGE_DATAFLOW_CPU=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/src-cpu-dataflow:0.2.1
DEFAULT_GIGL_RELEASE_DEV_WORKBENCH_IMAGE=us-central1-docker.pkg.dev/external-snap-ci-github-gigl/public-gigl/gigl-dev-workbench:0.2.1
DEFAULT_GIGL_RELEASE_KFP_PIPELINE_PATH=gs://public-gigl/releases/pipelines/gigl-pipeline-0.2.1.yaml

SPARK_31_TFRECORD_JAR_GCS_PATH=gs://public-gigl/tools/scala/spark_packages/spark-custom-tfrecord_2.12-0.5.0.jar
SPARK_35_TFRECORD_JAR_GCS_PATH=gs://public-gigl/tools/scala/spark_packages/spark_3.5.0-custom-tfrecord_2.12-0.6.1.jar
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4 changes: 2 additions & 2 deletions pyproject.toml
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Expand Up @@ -2,7 +2,7 @@
name = "gigl"
description = "GIgantic Graph Learning Library"
readme = "README.md"
version = "0.2.0"
version = "0.2.1"
classifiers = [
"Programming Language :: Python",
"Programming Language :: Python :: 3",
Expand All @@ -15,7 +15,7 @@ dependencies = [
"chardet",
# gigl-core hosts all C++ / CUDA / pybind11 extensions. Separate wheel per torch
# variant (cpu/cu128). Version must match gigl exactly.
"gigl-core==0.2.0",
"gigl-core==0.2.1",
"google-cloud-aiplatform",
"google-cloud-dataproc",
"google-cloud-logging",
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4 changes: 2 additions & 2 deletions uv.lock
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