Bump tensorflow-gpu from 1.14.0 to 1.15.4 in /training

[dependabot[bot]]

Bumps tensorflow-gpu from 1.14.0 to 1.15.4.

Release notes

Sourced from tensorflow-gpu's releases.

TensorFlow 1.15.4

Release 1.15.4

Bug Fixes and Other Changes

• Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190)
• Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
• Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195)
• Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202)
• Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203)
• Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
• Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205)
• Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206)
• Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
• Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
• Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
• Updates sqlite3 to 3.33.00 to handle CVE-2020-9327, CVE-2020-11655, CVE-2020-11656, CVE-2020-13434, CVE-2020-13435, CVE-2020-13630, CVE-2020-13631, CVE-2020-13871, and CVE-2020-15358.
• Fixes #41630 by including max_seq_length in CuDNN descriptor cache key
• Pins numpy to 1.18.5 to prevent ABI breakage when compiling code that uses both NumPy and TensorFlow headers.

TensorFlow 1.15.3

Bug Fixes and Other Changes

• Updates sqlite3 to 3.31.01 to handle CVE-2019-19880, CVE-2019-19244 and CVE-2019-19645
• Updates curl to 7.69.1 to handle CVE-2019-15601
• Updates libjpeg-turbo to 2.0.4 to handle CVE-2018-19664, CVE-2018-20330 and CVE-2019-13960
• Updates Apache Spark to 2.4.5 to handle CVE-2019-10099, CVE-2018-17190 and CVE-2018-11770

TensorFlow 1.15.2

Release 1.15.2

Note that this release no longer has a single pip package for GPU and CPU. Please see #36347 for history and details

Bug Fixes and Other Changes

• Fixes a security vulnerability where converting a Python string to a tf.float16 value produces a segmentation fault (CVE-2020-5215)
• Updates curl to 7.66.0 to handle CVE-2019-5482 and CVE-2019-5481
• Updates sqlite3 to 3.30.01 to handle CVE-2019-19646, CVE-2019-19645 and CVE-2019-16168

TensorFlow 1.15.0

Release 1.15.0

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:
  • Tensors are no longer hashable.

... (truncated)

Changelog

Sourced from tensorflow-gpu's changelog.

Release 1.15.4

Bug Fixes and Other Changes

• Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190)
• Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
• Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195)
• Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202)
• Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203)
• Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
• Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205)
• Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206)
• Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
• Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
• Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
• Updates sqlite3 to 3.33.00 to handle CVE-2020-9327, CVE-2020-11655, CVE-2020-11656, CVE-2020-13434, CVE-2020-13435, CVE-2020-13630, CVE-2020-13631, CVE-2020-13871, and CVE-2020-15358.
• Fixes #41630 by including max_seq_length in CuDNN descriptor cache key
• Pins numpy to 1.18.5 to prevent ABI breakage when compiling code that uses both NumPy and TensorFlow headers.

Release 2.3.0

Major Features and Improvements

• tf.data adds two new mechanisms to solve input pipeline bottlenecks and save resources:

... (truncated)

Commits

• df8c55c Merge pull request #43442 from tensorflow-jenkins/version-numbers-1.15.4-31571
• 0e8cbcb Update version numbers to 1.15.4
• 5b65bf2 Merge pull request #43437 from tensorflow-jenkins/relnotes-1.15.4-10691
• 814e8d8 Update RELEASE.md
• 757085e Insert release notes place-fill
• e99e53d Merge pull request #43410 from tensorflow/mm-fix-1.15
• bad36df Add missing import
• f3f1835 No disable_tfrt present on this branch
• 7ef5c62 Merge pull request #43406 from tensorflow/mihaimaruseac-patch-1
• abbf34a Remove import that is not needed
• Additional commits viewable in compare view

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