Data Science for Software Engineering (ds4se) is an academic initiative to perform exploratory and causal inference analysis on software engineering artifacts and metadata. Data Management, Analysis, and Benchmarking for DL and Traceability.
Updates zlib to 1.2.12 after 1.2.11 was pulled due to security issue
Release 2.8.0
Major Features and Improvements
tf.lite:
Added TFLite builtin op support for the following TF ops:
tf.raw_ops.Bucketize op on CPU.
tf.where op for data types
tf.int32/tf.uint32/tf.int8/tf.uint8/tf.int64.
tf.random.normal op for output data type tf.float32 on CPU.
tf.random.uniform op for output data type tf.float32 on CPU.
tf.random.categorical op for output data type tf.int64 on CPU.
tensorflow.experimental.tensorrt:
conversion_params is now deprecated inside TrtGraphConverterV2 in
favor of direct arguments: max_workspace_size_bytes, precision_mode,
minimum_segment_size, maximum_cached_engines, use_calibration and
... (truncated)
Commits
33ed2b1 Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1
e1ec480 Fix build due to importlib-metadata/setuptools
63f211c Merge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-6677
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dependabot[bot]
commented
2 years ago
Bumps tensorflow-gpu from 2.0.0rc0 to 2.6.4.
Release notes
Sourced from tensorflow-gpu's releases.
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Changelog
Sourced from tensorflow-gpu's changelog.
... (truncated)
Commits
33ed2b1Merge pull request #56102 from tensorflow/mihaimaruseac-patch-1e1ec480Fix build due to importlib-metadata/setuptools63f211cMerge pull request #56033 from tensorflow-jenkins/relnotes-2.6.4-667722b8fe4Update RELEASE.mdec30684Merge pull request #56070 from tensorflow/mm-cp-adafb45c781-on-r2.638774edMerge pull request #56060 from yongtang:curl-7.83.19ef1604Merge pull request #56036 from tensorflow-jenkins/version-numbers-2.6.4-9925a6526a3Update version numbers to 2.6.4cb1a481Update RELEASE.md4da550fInsert release notes place-fillDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
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