GitLab

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

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249325089  by hongkuny<hongkuny@google.com>:

    BERT 2.0

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249173564  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 249377254

* Initial feature aggregation code for Detect-to-Retrieve paper.

PiperOrigin-RevId: 246043144

* Add support for ASMK/ASMK*/R-ASMK/R-ASMK*.

PiperOrigin-RevId: 247337028

* Add DatumProto uint32 field, and limit datum_io to uint32 and float32/float64 types.

Also, introduce DatumPairProto, to be used for ASMK variants. Functions to read/write in this new format are added and tested.

PiperOrigin-RevId: 247515205

* Add batching option to feature aggregation extraction.

PiperOrigin-RevId: 247614627

* Script to perform local feature aggregation, with associated configs.

Also small edits to the aggregation extractor, for better handling of input features / avoiding OOM.

PiperOrigin-RevId: 248150750

* Tests to check that aggregation using regions with no local features works.

PiperOrigin-RevId: 248153275

* Include new library/proto for aggregation

* Merged commit includes the following changes:

PiperOrigin-RevId: 24817...

* Initial feature aggregation code for Detect-to-Retrieve paper.

PiperOrigin-RevId: 246043144

* Add support for ASMK/ASMK*/R-ASMK/R-ASMK*.

PiperOrigin-RevId: 247337028

* Add DatumProto uint32 field, and limit datum_io to uint32 and float32/float64 types.

Also, introduce DatumPairProto, to be used for ASMK variants. Functions to read/write in this new format are added and tested.

PiperOrigin-RevId: 247515205

* Add batching option to feature aggregation extraction.

PiperOrigin-RevId: 247614627

* Script to perform local feature aggregation, with associated configs.

Also small edits to the aggregation extractor, for better handling of input features / avoiding OOM.

PiperOrigin-RevId: 248150750

* Tests to check that aggregation using regions with no local features works.

PiperOrigin-RevId: 248153275

* Include new library/proto for aggregation

* Merged commit includes the following changes:

PiperOrigin-RevId: 248176511

* Merged commit includes the following changes:
248194572  by Andre Araujo:

    Change tf.tensor_scatter_nd_add --> tf.compat.v1.tensor_scatter_add to make it compatible with TF 1.X.

--

PiperOrigin-RevId: 248194572

* Functions to parse ground-truth and compute metrics for revisited datasets.

Unit tests are added.

PiperOrigin-RevId: 248561575

* Small change to argparse bool option, which does not work as expected.

PiperOrigin-RevId: 248805505

* Class to compute similarity between aggregated descriptors.

PiperOrigin-RevId: 249102986

* Script to perform retrieval and compute metrics.

PiperOrigin-RevId: 249104011

* feature_aggregation_similarity library in DELF init

* D2R instructions / README update

* Small edit to README

* Internal change.

PiperOrigin-RevId: 249113531

* Instructions to reproduce D2R paper results, and small edits to config files.

PiperOrigin-RevId: 249159850

* Revert "Internal change."

This reverts commit 0529f2b8471a20c88f1fbb37367f142965d098ee.

Undoing incorrect markdown deletion.

* Initial feature aggregation code for Detect-to-Retrieve paper.

PiperOrigin-RevId: 246043144

* Add support for ASMK/ASMK*/R-ASMK/R-ASMK*.

PiperOrigin-RevId: 247337028

* Add DatumProto uint32 field, and limit datum_io to uint32 and float32/float64 types.

Also, introduce DatumPairProto, to be used for ASMK variants. Functions to read/write in this new format are added and tested.

PiperOrigin-RevId: 247515205

* Add batching option to feature aggregation extraction.

PiperOrigin-RevId: 247614627

* Script to perform local feature aggregation, with associated configs.

Also small edits to the aggregation extractor, for better handling of input features / avoiding OOM.

PiperOrigin-RevId: 248150750

* Tests to check that aggregation using regions with no local features works.

PiperOrigin-RevId: 248153275

* Include new library/proto for aggregation

* Merged commit includes the following changes:

PiperOrigin-RevId: 248176511

* Merged commit includes the following changes:
248194572  by Andre Araujo:

    Change tf.tensor_scatter_nd_add --> tf.compat.v1.tensor_scatter_add to make it compatible with TF 1.X.

--

PiperOrigin-RevId: 248194572

* Functions to parse ground-truth and compute metrics for revisited datasets.

Unit tests are added.

PiperOrigin-RevId: 248561575

* Small change to argparse bool option, which does not work as expected.

PiperOrigin-RevId: 248805505

* Class to compute similarity between aggregated descriptors.

PiperOrigin-RevId: 249102986

* Script to perform retrieval and compute metrics.

PiperOrigin-RevId: 249104011

* feature_aggregation_similarity library in DELF init

* D2R instructions / README update

* Small edit to README

* Internal change.

PiperOrigin-RevId: 249113531

* Instructions to reproduce D2R paper results, and small edits to config files.

PiperOrigin-RevId: 249159850

* Delete accuracy if exists in eval results.

* get global_step only if it exists in eval results

This will allow one to easily reproduce a benchmark by running with the flags.

* Set the --clone_model_in_keras_dist_strat to None.  Remove the separate no_cloning benchmarks and add a couple of cloning ones.  Fixes the learning rate schedule to cache its ops per graph.

* Added 'tfdata_exp' version of all benchmarks which set
FLAGS.tf_data_experimental_slack = True. Renamed
`data_prefetch_with_slack` to `data_delay_prefetch` (haoyu's change)
to make the names more distinct.

* Add flag to resnet input pipeline and surface through
keras_imagenet_main.py

* Initial feature aggregation code for Detect-to-Retrieve paper.

PiperOrigin-RevId: 246043144

* Add support for ASMK/ASMK*/R-ASMK/R-ASMK*.

PiperOrigin-RevId: 247337028

* Add DatumProto uint32 field, and limit datum_io to uint32 and float32/float64 types.

Also, introduce DatumPairProto, to be used for ASMK variants. Functions to read/write in this new format are added and tested.

PiperOrigin-RevId: 247515205

* Add batching option to feature aggregation extraction.

PiperOrigin-RevId: 247614627

* Script to perform local feature aggregation, with associated configs.

Also small edits to the aggregation extractor, for better handling of input features / avoiding OOM.

PiperOrigin-RevId: 248150750

* Tests to check that aggregation using regions with no local features works.

PiperOrigin-RevId: 248153275

* Include new library/proto for aggregation

* Merged commit includes the following changes:

PiperOrigin-RevId: 248176511

* Merged commit includes the following changes:
248194572  by Andre Araujo:

    Change tf.tensor_scatter_nd_add --> tf.compat.v1.tensor_scatter_add to make it compatible with TF 1.X.

--

PiperOrigin-RevId: 248194572

Create ssd_mobilenet_v2_fpnlite_quantized_shared_box_predictor_256x256_depthmultiplier_75_coco14_sync.config (#6775)

Add config for FPNLite quantized model

- Test passes locally python3 and test is already
    skipped for python2.

* Add FP16 and benchmarks.

* add missing run and report.

* Add loss_scale as option not included with dtype.

* move loss_scale validation under dtype conditional.

* add loss_scale to flags tested.

* Fix trivial model to work properly with fp16

* Add comment on manual casting

Previously we had one dense layer in trivial model. The weight was [224*224*3, num_classes].
Using two dense layers, the weights are [224*224*3, 1] and [1, num_classes].

* Do not report metrics in performance benchmarks

* Rename flag

* Modified tweaked tests to use tensor learning rate

* Add first benchmark and return stats.

* Remove print statements update training steps.

* Revert print T: in print statement.

* Remove print(stats)

* add 2 gpu accuracy test for base.

* Fixed total_batch_size when using gpu + gFile deprecations.

* 8 GPU test name fix

* Add 4 and 8 GPU tests.

* typo fixes.

* Clean up test names and methods.

* bleu uncased.  docstring format fix.

* Add learning rate tensor. This makes training slower

* Improve LearningRateSchedule with better efficiency

* Fix lint error

* Replace constant definition with existing one

246873701  by menglong:

    Missing __init__.py under meta_architectures/

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246857392  by menglong:

    Standardize proto namespace: lstm_object_detection.protos

--
246625127  by menglong:

    Internal changes.

--
246596481  by menglong:

    Add License

--
246580605  by menglong:

    Internal changes

--
246344626  by menglong:

    Open source interleaved mobilenet v2 model.

--
244893883  by menglong:

    Introduce multi_input_decoder for interleaved model.

--
244461016  by menglong:

    Add pre-bottleneck operation to lstm cells to support interleaved model.

--
244052176  by menglong:

    Update README

--
244020495  by menglong:

    Add test to rnn_decoder.

--
243704250  by menglong:

    Duplicate assignment.

--
243091836  by menglong:

    Move LSTMSSD meta arch into separate folder

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242900337  by menglong:

    Modified mobilenet definition for LSTM-SSD

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242773195  by menglong:

    Release GroupedConvLSTMCell implementation: https://arxiv.org/abs/1903.10172

--
242574736  by menglong:

    Introduce module for quantizated training.

--
242544306  by menglong:

    lstm_ssd_meta_arch updates, added test
    rename:
    - LSTMMetaArch to LSTMSSDMetaArch
    - LSTMFeatureExtractor to LSTMSSDFeatureExtractor

--
241986236  by menglong:

    Move lstm quantization utils to 3rd party.

--
225922488  by yinxiao:

    Training pipeline fixes.

--
224839137  by yinxiao:

    Issue fix for lstm object detecion sample config.

--
224246947  by menglong:

    Fix logging module import

--

PiperOrigin-RevId: 246873701

* deeplab quantize

* Fix bug in train.py

* Create quantize.md

* Enable CuDNN BatchNorm spatial persistent by default; Remove 2nd zero padding layer

* Apply scale=False and fused=True consistently to BatchNorm layers

* Undo remove padding layer

* Replace zero padding with padding attribute in max pooling for better performance

* Resolve comments

* Revert "Replace zero padding with padding attribute in max pooling for better performance"

This reverts commit ad49db057c800ecac008eec1057005bd2c08ac73.

* updated mujoco api calls to data, and tensorflow call to CriticalSection (moved from contrib.framework)

* changed efficient-hrl envs so self.physics points to correct PyMj object based on mujoco_py version

* corrected mujoco version number checkm in AntEnv.physics and PointEnv.physics properties

* fix AntEnv.set_xy by reverting to using self.physics

This options allows the new tf.train.experimental.enable_mixed_precision_graph_rewrite() function to be used for fp16, instead of manual casts.

* Internal change.

PiperOrigin-RevId: 185564155

* Fix small bug when reading DELF features when file is empty.
A new test is added that catches this bug.

PiperOrigin-RevId: 213839503

* Refactors DELF example code to expose a function to create a DELF feature extractor.

PiperOrigin-RevId: 241492615

* Merged commit includes the following changes:
244073180  by Andre Araujo:

    Internal change

--
243646498  by Andre Araujo:

    Detect and save bounding boxes for a list of images.
    A new proto is added, along with auxiliary read/write functions, and tests.

--

PiperOrigin-RevId: 244073180

* Merged commit includes the following changes:
244872693  by Andre Araujo:

    Small change.

--
244871213  by Andre Araujo:

    Small edit to DELF extractor function.

--
244790715  by Andre Araujo:

    internal automated change

--
244773146  by Andre Araujo:

    Add option to visualize extracted boxes, and change slightly model input.

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244288992  by Andre Araujo:

    Script to cluster DELF features using K-means.

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244275164  by Andre Araujo:

    Scripts to extract DELF features and boxes from Revisited Oxford/Paris datasets, used in Detect-to-Retrieve paper.

--

PiperOrigin-RevId: 244872693

* Merged commit includes the following changes:

PiperOrigin-RevId: 244876167

* Updates instructions to include new released models, instructions for DELF and detector extraction, etc.

* Small fix

* Merged commit includes the following changes:
244909336  by Andre Araujo:

    Update to DELF config example to use latest model.

--

PiperOrigin-RevId: 244909336

* Revert "Merged commit includes the following changes:"

This reverts commit f41be9f159330f62846d5d8b3d3d5d55cd1874f4.

* Update delf_config_example model

* Small edits to detection instructions

* Specifying GLB location in README

* Mention D2R code release in progress