Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
This is the last 1.x release for TensorFlow. We do not expect to update the 1.x branch with features, although we will issue patch releases to fix vulnerabilities for at least one year.
Major Features and Improvements
As announced, tensorflow pip package will by default include GPU support (same as tensorflow-gpu now) for the platforms we currently have GPU support (Linux and Windows). It will work on machines with and without Nvidia GPUs. tensorflow-gpu will still be available, and CPU-only packages can be downloaded at tensorflow-cpu for users who are concerned about package size.
TensorFlow 1.15 contains a complete implementation of the 2.0 API in its compat.v2 module. It contains a copy of the 1.15 main module (without contrib) in the compat.v1 module. TensorFlow 1.15 is able to emulate 2.0 behavior using the enable_v2_behavior() function.
This enables writing forward compatible code: by explicitly importing either tensorflow.compat.v1 or tensorflow.compat.v2, you can ensure that your code works without modifications against an installation of 1.15 or 2.0.
EagerTensor now supports numpy buffer interface for tensors.
Add toggles tf.enable_control_flow_v2() and tf.disable_control_flow_v2() for enabling/disabling v2 control flow.
Enable v2 control flow as part of tf.enable_v2_behavior() and TF2_BEHAVIOR=1.
AutoGraph translates Python control flow into TensorFlow expressions, allowing users to write regular Python inside tf.function-decorated functions. AutoGraph is also applied in functions used with tf.data, tf.distribute and tf.keras APIS.
Adds enable_tensor_equality(), which switches the behavior such that:
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dependabot[bot]
commented
4 years ago
Bumps tensorflow from 1.10.1 to 1.15.4.
Release notes
Sourced from tensorflow's releases.
... (truncated)
Changelog
Sourced from tensorflow's changelog.
... (truncated)
Commits
df8c55cMerge pull request #43442 from tensorflow-jenkins/version-numbers-1.15.4-315710e8cbcbUpdate version numbers to 1.15.45b65bf2Merge pull request #43437 from tensorflow-jenkins/relnotes-1.15.4-10691814e8d8Update RELEASE.md757085eInsert release notes place-fille99e53dMerge pull request #43410 from tensorflow/mm-fix-1.15bad36dfAdd missing importf3f1835Nodisable_tfrtpresent on this branch7ef5c62Merge pull request #43406 from tensorflow/mihaimaruseac-patch-1abbf34aRemove import that is not neededDependabot 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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