GitLab

vis.py: use basename of image when saving raw annotations to prevent file-not-found error

Remove code formatted links that don't render in correctly.

Update title to match other beginner guides.

* Adding scripts for TensorRT

* Fixing README link

* Responding to CR

Eager colab: make the "not like numpy" statement slightly more useful.

Fix links that use nested elements.

fixed dimension compatibility issue for numpy

Docs: Adds eager notebook to the getting started samples

 Fix autograph link in eager execution demo.

Add eager execution demo.

* add end-to-end tests for wide_deep

delint

* address PR comments

* Adding export_dir and model saving for Resnet

* Moving to utils for tests

* Adding batch_size

* Adding multi-gpu export warning

* Responding to CR

* Py3 compliance

* PiperOrigin-RevId: 189857068

* PiperOrigin-RevId: 190089200

* Merge pull request #3702 from cclauss/from-six.moves-import-xrange-yet-again

from six.moves import xrange (en masse) YET AGAIN

PiperOrigin-RevId: 190255581

* I Fixes bunch of model tests that were using python2 functions.

II Updates mobilenet code:
1) Mobilenet usage example
2) Links to all checkpoints and updated README
3) Performance graphs

PiperOrigin-RevId: 190300379

* PiperOrigin-RevId: 190306214

* Updates notebook to reflect canonical repository location and fixes few
variable names.

* Add benchmark upload util to bigquery.

Also update the benchmark logger and bigquery schema for the
errors found during the integration test.

* Fix lint error.

* Update test to clear all the env vars during test.

This was causing error since the Kokoro test has TF_PKG=tf-nightly
injected during test.

* Update lintrc to ignore google related package.

* Another attempt to fix lint import error.

* Address the review comment.

* Fix lint error.

* Another fix for lint.

* Update test comment for env var clean up.

* Update the importing logic for cpuinfo and psutil.

Those two libs are usually not installed by default, and we should
not force people to install them if they just want to run resnet.

* Add pylint warning suppression.

* Add golden test util to streamline symbolic and numerical comparison to reference graphs, and apply golden tests to ResNet.

update tests

use more concise logic for path property

delint

add some comments

delint

address PR comments

make resnet tests more concise, and supress warning test in py2

change resnet name template

more shuffling of data dirs

address PR comments and add tensorflow version info

Remove subTest due to py2

switch from tf.__version__ to tf.VERSION, and include tf.GIT_VERSION

supress lint error from json load unpack

* address PR comments

* address PR comments

* delint

PR #3460 renamed FLAGS.epochs_per_eval to flags.epochs_between_evals; it missed this one

* add requirements.txt now that there are dependencies beyond tensorflow

* direct pip info to README

Update Installation.md

* Init test for logging benchmark run.

* Fix collect CPU info.

* Update max split for handling GPU information.

* Another fix for parse GPU info.

* Fix GPU and CPU info collector.

* Update logging function to be static.

* Remove the cifar10 logging and fix a lint error.

* Address the review comment.

* Fix lint error.

* Fix lint error for logger and logger_test.

* Another lint fix for the test.

* Simplify the CPU info logging.

We will start in a conserative way, and probably add more info in
future.

* Remove unused dependencies.

Fix typo.

deeplab_demo notebook py2 and py3 support

* Update reset model for benchmark logging.

To enable benchmark logging, just add "--hooks LoggingMetricHook"

* Benchmark logger fix for resnet.

1. Update default at_end to False for metric logger to avoid
checkpoint error.
2. Update resnet run to log final evaluation result.

* Update log output for final eval_result.

* Typo fix.

* Unset the default value for benchmark_log_dir.

Usually the benchmark should be logged to different directly for
each run. Having a default value will hide the choice from user.

* Bug fix for benchmark logger initialization.

* Fix lint error.

* Address the review comment.

1. Update the logger to cover evaluation result.
2. Move the flag to performance parser.

* Undo the change for arg_parser.