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sweetice / Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
MIT License
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Bump tensorflow from 1.12 to 1.12.2 #13

Closed dependabot[bot] closed 4 years ago

dependabot[bot] commented 4 years ago

Bumps tensorflow from 1.12 to 1.12.2.

Release notes *Sourced from [tensorflow's releases](https://github.com/tensorflow/tensorflow/releases).* > ## TensorFlow 1.12.2 > # Release 1.12.2 > ## Bug Fixes and Other Changes > > * Fixes a potential security vulnerability where carefully crafted GIF images can produce a null pointer dereference during decoding
Changelog *Sourced from [tensorflow's changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md).* > # Release 1.12.2 > > ## Bug Fixes and Other Changes > > * Fixes a potential security vulnerability where carefully crafted GIF images > can produce a null pointer dereference during decoding. > > # Release 1.13.0 > > ## Major Features and Improvements > > * TensorFlow Lite has moved from contrib to core. This means that Python modules are under `tf.lite` and source code is now under `tensorflow/lite` rather than `tensorflow/contrib/lite`. > * TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0. > * Support for Python3.7 on all operating systems. > * Moved NCCL to core. > > ## Behavioral changes > > * Disallow conversion of python floating types to uint32/64 (matching behavior of other integer types) in `tf.constant`. > * Make the `gain` argument of convolutional orthogonal initializers (`convolutional_delta_orthogonal`, `convolutional_orthogonal_1D`, `convolutional_orthogonal_2D`, `convolutional_orthogonal_3D`) have consistent behavior with the `tf.initializers.orthogonal` initializer, i.e. scale the output l2-norm by `gain` and NOT by `sqrt(gain)`. (Note that these functions are currently in `tf.contrib` which is not guaranteed backward compatible). > > ## Bug Fixes and Other Changes > > * Documentation > * Update the doc with the details about the rounding mode used in > quantize_and_dequantize_v2. > * Clarify that tensorflow::port::InitMain() _should_ be called before > using the TensorFlow library. Programs failing to do this are not > portable to all platforms. > * Deprecations and Symbol renames. > * Removing deprecations for the following endpoints: `tf.acos`, > `tf.acosh`, `tf.add`, `tf.as_string`, `tf.asin`, `tf.asinh`, `tf.atan`, > `tf.atan2`, `tf.atanh`, `tf.cos`, `tf.cosh`, `tf.equal`, `tf.exp`, > `tf.floor`, `tf.greater`, `tf.greater_equal`, `tf.less`, > `tf.less_equal`, `tf.log`, `tf.logp1`, `tf.logical_and`, > `tf.logical_not`, `tf.logical_or`, `tf.maximum`, `tf.minimum`, > `tf.not_equal`, `tf.sin`, `tf.sinh`, `tf.tan` > * Deprecate `tf.data.Dataset.shard`. > * Deprecate `saved_model.loader.load` which is replaced by > `saved_model.load` and `saved_model.main_op`, which will be replaced by > `saved_model.main_op` in V2. > * Deprecate tf.QUANTIZED_DTYPES. The official new symbol is > tf.dtypes.QUANTIZED_DTYPES. > * Update sklearn imports for deprecated packages. > * Deprecate `Variable.count_up_to` and `tf.count_up_to` in favor of > `Dataset.range`. > * Export `confusion_matrix` op as `tf.math.confusion_matrix` instead of > `tf.train.confusion_matrix`. > * Add `tf.dtypes.` endpoint for every constant in dtypes.py. Moving > endpoints in versions.py to corresponding endpoints in `tf.sysconfig.` > ... (truncated)
Commits - [`6b63465`](https://github.com/tensorflow/tensorflow/commit/6b634657d8ff1355132c3838271e4f569d1ffaba) Merge pull request [#27959](https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/27959) from tensorflow/update-release-notes-version - [`e967833`](https://github.com/tensorflow/tensorflow/commit/e9678339c906d2ffe78a266de23b45348f0087a6) Update header on release notes - [`cf74798`](https://github.com/tensorflow/tensorflow/commit/cf74798993f545456cb50ec188f4e25e4b4514c1) Merge pull request [#27958](https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/27958) from tensorflow/update-release-version - [`7fba173`](https://github.com/tensorflow/tensorflow/commit/7fba173bcd049c6f6aa871e3ba2e914d38ea20a3) Update version to 1.12.2 - [`332f080`](https://github.com/tensorflow/tensorflow/commit/332f080651162a202069b633d13c6f2e95db63b6) Merge pull request [#27878](https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/27878) from tensorflow/windows-cpu - [`c9fcc49`](https://github.com/tensorflow/tensorflow/commit/c9fcc49f5af7ea1985043307a67e8094cde81556) Fix windows build for CPU too - [`416b4a3`](https://github.com/tensorflow/tensorflow/commit/416b4a3398e814c0abf3101e0d803920852a9bd0) Merge pull request [#27873](https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/27873) from tensorflow/more-bazel-incompatible-flags - [`3ebe165`](https://github.com/tensorflow/tensorflow/commit/3ebe165f0bfc62aa0004ffa4d5a15ca4da5029c3) Add --incompatible_disable_cc_toolchain_label_from_crosstool_proto=false flag - [`5ab9466`](https://github.com/tensorflow/tensorflow/commit/5ab94660a4da3632d5514509d3353d54cbf2e87d) Reformat bazel invocation lines - [`446d393`](https://github.com/tensorflow/tensorflow/commit/446d3932ffbee93aca87a68427f935d6e598ab14) Merge pull request [#27870](https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/27870) from tensorflow/bazel-http-archive - Additional commits viewable in [compare view](https://github.com/tensorflow/tensorflow/compare/v1.12.0...v1.12.2)


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dependabot[bot] commented 4 years ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.