GitLab

Only care about errors and output into an error file.

259442882  by hongkuny<hongkuny@google.com>:

    Internal

--
259341546  by mrry<mrry@google.com>:

    Remove DEBUG-level logging from the BERT benchmark.

    This triggers graph serialization and other verbose logging in the TensorFlow runtime, which inflates the execution time.

--
259253185  by hongkuny<hongkuny@google.com>:

    Writes a separated checkpoint for the core model in pretraining.
    Clean up export utils to just take a model as argument.

--
258893811  by hongkuny<hongkuny@google.com>:

    Adds summaries for metrics, allowing metrics inside keras.model.

--
258881002  by hongkuny<hongkuny@google.com>:

    Fix lint.

--
258597234  by rxsang<rxsang@google.com>:

    Update all the TPUStrategy examples to use the new v2 APIs, i.e.
    make_dataset_iterator -> experimental_distribute_dataset,
    make_input_fn_iterator -> experimental_distribute_datasets_from_function,
    unwrap -> experimental_local_results,
    experimental_run -> experimental_run_v2

--
258581998  by taylorrobie<taylorrobie@google.com>:

    Update keras v2 optimizers to reuse coefficients which are shared across all updates, which reduces the total number of ops created by between 5% (for simple optimizers such as SGD and Adagrad) and 25% (for complicated optimizers such as Adam and NAdam). Separate copies are made for each device and dtype.

    The effect of this change on run time is fairly minimal since Grappler is expected to consolidate most of these ops; however it does improve graph construction time.

--
258208153  by hongkuny<hongkuny@google.com>:

    Adds run_eagerly option for bert.

--
257883986  by hongkuny<hongkuny@google.com>:

    Adds tf.summary for bert training

--
256204636  by hongkuny<hongkuny@google.com>:

    Internal

--
256079834  by hongkuny<hongkuny@google.com>:

    Clean up: move common flags together for further refactoring
    Enable steps_per_loop option for all applications.

--
255493073  by hongkuny<hongkuny@google.com>:

    BERT initial OSS readme update.

--
255470372  by dmchen<dmchen@google.com>:

    Slightly expand expected range for F1 score in BERT SQuAD accuracy test

--
255109240  by hongkuny<hongkuny@google.com>:

    Update eval/predict batch sizes.

--
255010016  by hongkuny<hongkuny@google.com>:

    Internal

--
254874613  by hongkuny<hongkuny@google.com>:

    Update glue tasks enum to match directory name

--
254866171  by taylorrobie<taylorrobie@google.com>:

    Internal change

254785517  by zongweiz<zongweiz@google.com>:

    Use train_single_step for BERT GPU models to temporarily work around some performance bugs in GPU runs

--
254497647  by hongkuny<hongkuny@google.com>:

    Fix device placement for TPU export model.

--
254134531  by yuefengz<yuefengz@google.com>:

    Fix a typo in bert_benchmark.py

--
254069984  by hongkuny<hongkuny@google.com>:
    Automated rollback of changelist 254060732.

254061429  by hongkuny<hongkuny@google.com>:

    Use host while loop for training steps.

--
254060732  by yifeif<yifeif@google.com>:
    Automated rollback of changelist 254027750.

254027750  by hongkuny<hongkuny@google.com>:

    Internal change

253850824  by hongkuny<hongkuny@google.com>:

    Improve bert training utils.

--
253818191  by hongkuny<hongkuny@google.com>:

    Update savedmodel export to use new model.save() api.

--
253636854  by dmchen<dmchen@google.com>:

    Run only training in BERT SQuAD performance test

--
253118910  by hongkuny<hongkuny@google.com>:

    Internal change

253113801  by zongweiz<zongweiz@google.com>:

    Internal change

252697519  by dmchen<dmchen@google.com>:

    BERT SQuAD accuracy test

--
252663512  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Internal change

--
252647871  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Enable multi worker TPU training for BERT pretraining.

--
252522861  by hongkuny<hongkuny@google.com>:

    Remove export using trained model due to implementation error

--
252156812  by yuefengz<yuefengz@google.com>:

    Fix the callback method name in BERT: replaced on_batch_start with on_batch_begin. Without the fix, it won't work with Keras callbacks.

--
251782065  by dmchen<dmchen@google.com>:

    Internal change

251681245  by hongkuny<hongkuny@google.com>:

    Update bert to use the new tf.distribute APIs

--
251575972  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Remove `steps_per_run` when instantiating TPUStrategy.

--
251325964  by hongkuny<hongkuny@google.com>:

    Improve flags

--
250942274  by tobyboyd<tobyboyd@google.com>:

    Internal change

250779087  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Reduce BERT Perfzero benchmark test training steps.

--
250713045  by hongkuny<hongkuny@google.com>:

    TPU util

--
250606180  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Fix BERT benchamrk test errors.

--
250589623  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Change BERT benchmark test pretrained checkpoint url.

--
250587892  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Fix error in BERT custom training loop checkpoint restoration.

--
250577163  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Add logic to inject callback that measures performance in BERT custom training
    loop.

--
250529526  by hongkuny<hongkuny@google.com>:

    Internal clean up

--
250428976  by hongkuny<hongkuny@google.com>:

    Internal change

250415383  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Add min/max value to BERT classifier benchmark test.

--
250376246  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Add benchmark performance test to run BERT on multiple numbers of GPUs.

--
250347237  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Fix linting errors in BERT benchmark test.

--
250326131  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Internal change

250315593  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Internal change

250303528  by haoyuzhang<haoyuzhang@google.com>:

    Add method docstring to fix lint error.

--
250009207  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Add feature in BERT to write training metrics to a summary file.

--
249896208  by hongkuny<hongkuny@google.com>:

    Adds __init__.py

--
249883771  by hongkuny<hongkuny@google.com>:

    Creates a benchmark dir

--
249580533  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Internal change

249566870  by A. Unique TensorFlower<gardener@tensorflow.org>:

    Set up BERT benchmark test.

--
249500988  by hongkuny<hongkuny@google.com>:

    Lints

--
249377254  by hongkuny<hongkuny@google.com>:

    Internal change

249373328  by hongkuny<hongkuny@google.com>:

    Clean up tf import

--
249333938  by hongkuny<hongkuny@google.com>:

    Fix tf1 import

--
249325089  by hongkuny<hongkuny@google.com>:

    BERT 2.0

--
249173564  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 259442882

* Update pylint.rcfile

* Update pylint.rcfile

* Update pylint.rcfile

* add new sanity check script for lint to replace current lint script.

* Revert "Update pylint.rcfile"

This reverts commit f6036cd7e7c4b9e3eeb47bb56a63927a040a2761.

* Revert "Update pylint.rcfile"

This reverts commit e3af497342e26bbbbecfc8c8f79cb0e24a2ef960.

* Revert "Update pylint.rcfile"

This reverts commit 6136636eee6e90fd191ebbb4ccaa9fb89c0290f4.

* update scripts

* disable trailing-newlines

259030078  by isaprykin<isaprykin@google.com>:

    Clean up the --clone_model_in_keras_dist_strat from Keras Resnet.

    The cloning flag has been removed.  The current rule is that cloning is only done in graph mode.  That resulted in duplicate benchmarks: eager+no-cloning vs eager+cloning.  I removed eager+cloning ones.

--
259026454  by isaprykin<isaprykin@google.com>:

    Internal change

PiperOrigin-RevId: 259030078

* Merged commit includes the following changes:
258867180  by jingli<jingli@google.com>:

    Add new folders for upcoming reorg in model garden.

--
258893811  by hongkuny<hongkuny@google.com>:

    Adds summaries for metrics, allowing metrics inside keras.model.

--
258893048  by isaprykin<isaprykin@google.com>:

    Remove the `cloning` argument to `compile()`.

    Keras models are distributed by cloning in graph mode and without cloning in eager mode as of the change # 258652546.

--
258881002  by hongkuny<hongkuny@google.com>:

    Fix lint.

--
258874998  by hongkuny<hongkuny@google.com>:

    Internal

--
258872662  by hongkuny<hongkuny@google.com>:

    Fix doc

--

PiperOrigin-RevId: 258867180

* Create __init__.py

* Update __init__.py

* Update __init__.py

* Update __init__.py

This reverts commit 712f473e.

This combination does not yet work. Fail early with an explicit message instead of throwing error later on.

Fix for TF-models #7216: CIFAR-10 tutorial for multi-GPU fails because full shape isn't passed to prefetch_queue contributed by mattmann. (#7217)

The current approach checks for presence of contrib. Sometimes this is not sufficient (for e..g when testing TF 1 + enable_v2_behavior=True which is what internal tests currently do)

258881002  by hongkuny<hongkuny@google.com>:

    Fix lint.

--
258874998  by hongkuny<hongkuny@google.com>:

    Internal

--
258872662  by hongkuny<hongkuny@google.com>:

    Fix doc

--
258871624  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 258881002

258597234  by rxsang<rxsang@google.com>:

    Update all the TPUStrategy examples to use the new v2 APIs, i.e.
    make_dataset_iterator -> experimental_distribute_dataset,
    make_input_fn_iterator -> experimental_distribute_datasets_from_function,
    unwrap -> experimental_local_results,
    experimental_run -> experimental_run_v2

--
258581998  by taylorrobie<taylorrobie@google.com>:

    Update keras v2 optimizers to reuse coefficients which are shared across all updates, which reduces the total number of ops created by between 5% (for simple optimizers such as SGD and Adagrad) and 25% (for complicated optimizers such as Adam and NAdam). Separate copies are made for each device and dtype.

    The effect of this change on run time is fairly minimal since Grappler is expected to consolidate most of these ops; however it does improve graph construction time.

--

PiperOrigin-RevId: 258597234

* Added benchmarks and common flags.

* Add cpu tests.

* Add tracking epoch times.

* fix transformer.

* Add examples_per_second.

* fix pylint

Fix for #7225: CIFAR-10 eval fails with error TypeError: Input 'predictions' of 'InTopKV2' Op has type float16 that contributed by mattmann. (#7227)

* Merged commit includes the following changes:
257930561  by yongzhe:

    Mobile LSTD TfLite Client.

--
257928126  by yongzhe:

    Mobile SSD Tflite client.

--
257921181  by menglong:

    Fix discrepancy between pre_bottleneck = {true, false}

--
257561213  by yongzhe:

    File utils.

--
257449226  by yongzhe:

    Mobile SSD Client.

--
257264654  by yongzhe:

    SSD utils.

--
257235648  by yongzhe:

    Proto bazel build rules.

--
256437262  by Menglong Zhu:

    Fix check for FusedBatchNorm op to only verify it as a prefix.

--
256283755  by yongzhe:

    Bazel build and copybara changes.

--
251947295  by yinxiao:

    Add missing interleaved option in checkpoint restore.

--
251513479  by yongzhe:

    Conversion utils.

--
248783193  by yongzhe:

    Branch protos needed for the lstd client.

--
248200507  by menglong:

    Fix proto namespace in example config

--

PiperOrigin-RevId: 257930561

* Delete BUILD

* Merged commit includes the following changes:
258709909  by yongzhe:

    1. Fix a bug that input wasn't copied.
    2. Change the tensor indexing to support graph with postprocessing.
    3. Fix a bug that the quantized lstm states weren't initialized.

--
258398095  by yongzhe:

    Internal change.

--

PiperOrigin-RevId: 258709909

* Adding myself as the code owner

* Config threadpool, cuDNN persistent BN, and grappler layout optimizer properly for ResNet56

* Add tweaked tests for Resnet56

* Avoid triggering the last partial batch overhead by explicitly dropping remainder

* Merged commit includes the following changes:
257930561  by yongzhe:

    Mobile LSTD TfLite Client.

--
257928126  by yongzhe:

    Mobile SSD Tflite client.

--
257921181  by menglong:

    Fix discrepancy between pre_bottleneck = {true, false}

--
257561213  by yongzhe:

    File utils.

--
257449226  by yongzhe:

    Mobile SSD Client.

--
257264654  by yongzhe:

    SSD utils.

--
257235648  by yongzhe:

    Proto bazel build rules.

--
256437262  by Menglong Zhu:

    Fix check for FusedBatchNorm op to only verify it as a prefix.

--
256283755  by yongzhe:

    Bazel build and copybara changes.

--
251947295  by yinxiao:

    Add missing interleaved option in checkpoint restore.

--
251513479  by yongzhe:

    Conversion utils.

--
248783193  by yongzhe:

    Branch protos needed for the lstd client.

--
248200507  by menglong:

    Fix proto namespace in example config

--

P...

258208153  by hongkuny<hongkuny@google.com>:

    Adds run_eagerly option for bert.

--

PiperOrigin-RevId: 258208153

* Ncf perf changes 1)exclude metric layer from CTL train step 2)dataset optimization to fix size of the sample_weights, preventing a costly broadcast during loss calculation for multi-gpu case

* Merged commit includes the following changes:
257930561  by yongzhe:

    Mobile LSTD TfLite Client.

--
257928126  by yongzhe:

    Mobile SSD Tflite client.

--
257921181  by menglong:

    Fix discrepancy between pre_bottleneck = {true, false}

--
257561213  by yongzhe:

    File utils.

--
257449226  by yongzhe:

    Mobile SSD Client.

--
257264654  by yongzhe:

    SSD utils.

--
257235648  by yongzhe:

    Proto bazel build rules.

--
256437262  by Menglong Zhu:

    Fix check for FusedBatchNorm op to only verify it as a prefix.

--
256283755  by yongzhe:

    Bazel build and copybara changes.

--
251947295  by yinxiao:

    Add missing interleaved option in checkpoint restore.

--
251513479  by yongzhe:

    Conversion utils.

--
248783193  by yongzhe:

    Branch protos needed for the lstd client.

--
248200507  by menglong:

    Fix proto namespace in example config

--

PiperOrigin-RevId: 257930561

* Delete BUILD

* Initial implementation of Shakespeare character LSTM.

* Fix import order

257883986  by hongkuny<hongkuny@google.com>:

    Adds tf.summary for bert training

--

PiperOrigin-RevId: 257883986

257914648  by lzc:

    Internal changes

--
257525973  by Zhichao Lu:

    Fixes bug that silently prevents checkpoints from loading when training w/ eager + functions. Also sets up scripts to run training.

--
257296614  by Zhichao Lu:

    Adding detection_features to model outputs

--
257234565  by Zhichao Lu:

    Fix wrong order of `classes_with_max_scores` in class-agnostic NMS caused by
    sorting in partitioned-NMS.

--
257232002  by ronnyvotel:

    Supporting `filter_nonoverlapping` option in np_box_list_ops.clip_to_window().

--
257198282  by Zhichao Lu:

    Adding the focal loss and l1 loss from the Objects as Points paper.

--
257089535  by Zhichao Lu:

    Create Keras based ssd + resnetv1 + fpn.

--
257087407  by Zhichao Lu:

    Make object_detection/data_decoders Python3-compatible.

--
257004582  by Zhichao Lu:

    Updates _decode_raw_data_into_masks_and_boxes to the latest binary masks-to-string encoding format.

--
257002124  by Zhichao Lu:

    Make object_detection/utils Python3-compatible, except json_utils.

    The patching trick used in json_utils is not going to work in Python 3.

--
256795056  by lzc:

    Add a detection_anchor_indices field to detection outputs.

--
256477542  by Zhichao Lu:

    Make object_detection/core Python3-compatible.

--
256387593  by Zhichao Lu:

    Edit class_id_function_approximations builder to skip class ids not present in label map.

--
256259039  by Zhichao Lu:

    Move NMS to TPU for FasterRCNN.

--
256071360  by rathodv:

    When multiclass_scores is empty, add one-hot encoding of groundtruth_classes as multiclass scores so that data_augmentation ops that expect the presence of multiclass_scores don't have to individually handle this case.

    Also copy input tensor_dict to out_tensor_dict first to avoid inplace modification.

--
256023645  by Zhichao Lu:

    Adds the first WIP iterations of TensorFlow v2 eager + functions style custom training & evaluation loops.

--
255980623  by Zhichao Lu:

    Adds a new data augmentation operation "remap_labels" which remaps a set of labels to a new label.

--
255753259  by Zhichao Lu:

    Announcement of the released evaluation tutorial for Open Images Challenge
    2019.

--
255698776  by lzc:

    Fix rewrite_nn_resize_op function which was broken by tf forward compatibility movement.

--
255623150  by Zhichao Lu:

    Add Keras-based ResnetV1 models.

--
255504992  by Zhichao Lu:

    Fixing the typo in specifying label expansion for ground truth segmentation
    file.

--
255470768  by Zhichao Lu:

    1. Fixing Python bug with parsed arguments.
    2. Adding capability to parse relevant columns from CSV header.
    3. Fixing bug with duplicated labels expansion.

--
255462432  by Zhichao Lu:

    Adds a new data augmentation operation "drop_label_probabilistically" which drops a given label with the given probability. This supports experiments on training in the presence of label noise.

--
255441632  by rathodv:

    Fallback on groundtruth classes when multiclass_scores tensor is empty.

--
255434899  by Zhichao Lu:

    Ensuring evaluation binary can run even with big files by synchronizing
    processing of ground truth and predictions: in this way, ground truth is not stored but immediatly
    used for evaluation. In case gt of object masks, this allows to run
    evaluations on relatively large sets.

--
255337855  by lzc:

    Internal change.

--
255308908  by Zhichao Lu:

    Add comment to clarify usage of calibration parameters proto.

--
255266371  by Zhichao Lu:

    Ensuring correct processing of the case, when no groundtruth masks are provided
    for an image.

--
255236648  by Zhichao Lu:

    Refactor model_builder in faster_rcnn.py to a util_map, so that it's possible to be overwritten.

--
255093285  by Zhichao Lu:

    Updating capability to subsample data during evaluation

--
255081222  by rathodv:

    Convert groundtruth masks to be of type float32 before its used in the loss function.

    When using mixed precision training, masks are represented using bfloat16 tensors in the input pipeline for performance reasons. We need to convert them to float32 before using it in the loss function.

--
254788436  by Zhichao Lu:

    Add forward_compatible to non_max_suppression_with_scores to make it is
    compatible with older tensorflow version.

--
254442362  by Zhichao Lu:

    Add num_layer field to ssd feature extractor proto.

--
253911582  by jonathanhuang:

    Plumbs Soft-NMS options (using the new tf.image.non_max_suppression_with_scores op) into the TF Object Detection API.  It adds a `soft_nms_sigma` field to the postprocessing proto file and plumbs this through to both the multiclass and class_agnostic versions of NMS. Note that there is no effect on behavior of NMS when soft_nms_sigma=0 (which it is set to by default).

    See also "Soft-NMS -- Improving Object Detection With One Line of Code" by Bodla et al (https://arxiv.org/abs/1704.04503)

--
253703949  by Zhichao Lu:

    Internal test fixes.

--
253151266  by Zhichao Lu:

    Fix the op type check for FusedBatchNorm, given that we introduced
    FusedBatchNormV3 in a previous change.

--
252718956  by Zhichao Lu:

    Customize activation function to enable relu6 instead of relu for saliency
    prediction model seastarization

--
252158593  by Zhichao Lu:

    Make object_detection/core Python3-compatible.

--
252150717  by Zhichao Lu:

    Make object_detection/core Python3-compatible.

--
251967048  by Zhichao Lu:

    Make GraphRewriter proto extensible.

--
251950039  by Zhichao Lu:

    Remove experimental_export_device_assignment from TPUEstimator.export_savedmodel(), so as to remove rewrite_for_inference().

    As a replacement, export_savedmodel() V2 API supports device_assignment where user call tpu.rewrite in model_fn and pass in device_assigment there.

--
251890697  by rathodv:

    Updated docstring to include new output nodes.

--
251662894  by Zhichao Lu:

    Add autoaugment augmentation option to objection detection api codebase. This
    is an available option in preprocessor.py.

    The intended usage of autoaugment is to be done along with random flipping and
    cropping for best results.

--
251532908  by Zhichao Lu:

    Add TrainingDataType enum to track whether class-specific or agnostic data was used to fit the calibration function.

    This is useful, since classes with few observations may require a calibration function fit on all classes.

--
251511339  by Zhichao Lu:

    Add multiclass isotonic regression to the calibration builder.

--
251317769  by pengchong:

    Internal Change.

--
250729989  by Zhichao Lu:

    Fixing bug in gt statistics count in case of mask and box annotations.

--
250729627  by Zhichao Lu:

    Label expansion for segmentation.

--
250724905  by Zhichao Lu:

    Fix use_depthwise in fpn and test it with fpnlite on ssd + mobilenet v2.

--
250670379  by Zhichao Lu:

    Internal change

250630364  by lzc:

    Fix detection_model_zoo footnotes

--
250560654  by Zhichao Lu:

    Fix static shape issue in matmul_crop_and_resize.

--
250534857  by Zhichao Lu:

    Edit class agnostic calibration function docstring to more accurately describe the function's outputs.

--
250533277  by Zhichao Lu:

    Edit the multiclass messages to use class ids instead of labels.

--

PiperOrigin-RevId: 257914648

* Record highest uncased bleu found.

* change to bleu_best_score_iteration

257314238  by hongkuny<hongkuny@google.com>:

    Creates transformer v2 README.
    Remove contents that are not implemented.

--

PiperOrigin-RevId: 257314238

* Move to global_step.

* Hook to use global_step.

* fix comment start step 1 not step 0.

* remove hack used for testing.

* Add docstring.

* Update research/maskgan/README.md
Co-Authored-By: Andrew M Dai <andy.dai@gmail.com>

* Improve performance for Cifar ResNet benchmarks

* Revert batch size changes to benchmarks

Update to tf 1.14 syntax, fix bug #7125 (needed additional expand for conv2d).  Suppress compat warnings by moving to compat.v1 versions of some functions.  Note that this code is not 2.0 compatible yet - that will be a future push. (#7177)

* reduce iterations from 20 to 12.

* add fp16 dynamic batch accuracy check.

* fix existing lint issue.

* Bug fix of cifar10_eval.py

line 120: changed from eval_data = FLAGS.eval_data == 'test'
to: eval_data = FLAGS.eval_data
comment: the original code assigns 'true' to eval_data, when the script is being used to evaluate networks on the evaluation set, it DOES NOT load the evaluation set as intended, but actually loads the trainning set (line 105 of cifar10_input.py).

* Remove one line that was an artifact of issue.