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TensorFlow v1.15.4

TensorFlow: v1.15.4 Release

Release date:

October 1, 2020

Previous version:

v1.15.3 (released May 14, 2020)

Magnitude:

36,782 Diff Delta

Contributors:

190 total committers

Data confidence:

Commits:

1,042

520 Features Released with v1.15.4

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v2.0.0-rc0 Released August 22, 2019

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v2.0.0-beta0 Released August 6, 2019

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v2.0.0-alpha0 Released January 4, 2021

217 Δ

v1.15.5 Released January 11, 2021

138,244 Δ

v1.15.4 Released October 1, 2020

36,782 Δ

v1.15.3 Released May 14, 2020

387 Δ

v1.15.2 Released January 26, 2020

0 Δ

v1.15.1 Released January 22, 2020

303 Δ

v1.15.0 Released October 14, 2019

0 Δ

v1.15.0-rc3 Released October 7, 2019

138 Δ

Top Contributors in v1.15.4

tensorflower-gardener

mdanatg

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crccw

annarev

qlzh727

frankchn

pkanwar23

edloper

rachellim

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Release Notes Published

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.