A Keras implementation for AAAI 2018 SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction.
In addition checkout the detailed guide for analyzing input pipeline performance with TF Profiler.
tf.distribute.TPUStrategy is now a stable API and no longer considered experimental for TensorFlow. (earlier tf.distribute.experimental.TPUStrategy).
TF Profiler introduces two new tools: a memory profiler to visualize your model’s memory usage over time and a python tracer which allows you to trace python function calls in your model. Usability improvements include better diagnostic messages and profile options to customize the host and device trace verbosity level.
Introduces experimental support for Keras Preprocessing Layers API (tf.keras.layers.experimental.preprocessing.*) to handle data preprocessing operations, with support for composite tensor inputs. Please see below for additional details on these layers.
TFLite now properly supports dynamic shapes during conversion and inference. We’ve also added opt-in support on Android and iOS for XNNPACK, a highly optimized set of CPU kernels, as well as opt-in support for executing quantized models on the GPU.
The experimental Python API tf.debugging.experimental.enable_dump_debug_info() now allows you to instrument a TensorFlow program and dump debugging information to a directory on the file system. The directory can be read and visualized by a new interactive dashboard in TensorBoard 2.3 called Debugger V2, which reveals the details of the TensorFlow program including graph structures, history of op executions at the Python (eager) and intra-graph levels, the runtime dtype, shape, and numerical composistion of tensors, as well as their code locations.
Breaking Changes
Increases the minimum bazel version required to build TF to 3.1.0.
tf.data
Makes the following (breaking) changes to the tf.data.
C++ API: - IteratorBase::RestoreInternal, IteratorBase::SaveInternal, and DatasetBase::CheckExternalState become pure-virtual and subclasses are now expected to provide an implementation.
The deprecated DatasetBase::IsStateful method is removed in favor of DatasetBase::CheckExternalState.
Deprecated overrides of DatasetBase::MakeIterator and MakeIteratorFromInputElement are removed.
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dependabot[bot]
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3 years ago
Bumps tensorflow-gpu from 1.8.0 to 2.3.1.
Release notes
Sourced from tensorflow-gpu's releases.
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Changelog
Sourced from tensorflow-gpu's changelog.
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Commits
fcc4b96Merge pull request #43446 from tensorflow-jenkins/version-numbers-2.3.1-162514cf2230Update version numbers to 2.3.1eee8224Merge pull request #43441 from tensorflow-jenkins/relnotes-2.3.1-246720d41b1dUpdate RELEASE.mdd99bd63Insert release notes place-filld71d3ceMerge pull request #43414 from tensorflow/mihaimaruseac-patch-1-19c91596Fix missing importf9f12f6Merge pull request #43391 from tensorflow/mihaimaruseac-patch-43ed271bSolve leftover from merge conflict9cf3773Merge pull request #43358 from tensorflow/mm-patch-r2.3Dependabot 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
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