Commits · 4e6b28ad2cef21334e4e2437121c5761e7fa4c2e · ModelZoo / ResNet50_tensorflow

24 Jul, 2020 1 commit
- Fix typo. · 4e6b28ad
  Hongkun Yu authored Jul 24, 2020
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  4e6b28ad
20 Jul, 2020 1 commit

Modify the unit test of encoder scaffold to demonstrate that a subclass... · 1faf2d3d

Hongkun Yu authored Jul 19, 2020

Modify the unit test of encoder scaffold to demonstrate that a subclass embedding network can be used.

PiperOrigin-RevId: 322083775

1faf2d3d

16 Jul, 2020 1 commit
- Adds clear documentation: Functional/Subclass API used for each network/model. · 597e59d2
  Hongkun Yu authored Jul 16, 2020
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  597e59d2
20 Jun, 2020 1 commit
- Add ELECTRA TF 2.x pretrainer. · b708fd68
  A. Unique TensorFlower authored Jun 19, 2020
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Contributed by mickeystroller

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  b708fd68
16 Jun, 2020 1 commit
- Internal change · 802488f1
  Hongkun Yu authored Jun 15, 2020
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  802488f1
10 Jun, 2020 1 commit
- Internal change · ef99be0b
  A. Unique TensorFlower authored Jun 10, 2020
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  ef99be0b
03 Jun, 2020 1 commit
- Update documentation and tests of model and network for regression tasks. · d90bed2e
  Maxim Neumann authored Jun 03, 2020
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  d90bed2e
21 May, 2020 2 commits
- Makes token embedding projection consistent between Albert and BERT · b1eddf4f
  A. Unique TensorFlower authored May 21, 2020
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  b1eddf4f
- Transformer Encoder: when embedding width differs from hidden size, add a... · 26565d0d
  Hongkun Yu authored May 21, 2020
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Transformer Encoder: when embedding width differs from hidden size, add a projection to hidden size.

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  26565d0d
14 May, 2020 2 commits
- Internal change · 8c408bbe
  Chen Chen authored May 14, 2020
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  8c408bbe
- Add network and BERT model to perform per-token classification (e.g., for... · 25542676
  Jeremiah Harmsen authored May 14, 2020
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Add network and BERT model to perform per-token classification (e.g., for named entity recognition tasks).

PiperOrigin-RevId: 311480326
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  25542676
13 May, 2020 2 commits

Internal change · 3c5d118c
Chen Chen authored May 13, 2020
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PiperOrigin-RevId: 311428193
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3c5d118c

Restructure the Keras class hierarchy for Network, Model and Sequential. · d08af90d

Scott Zhu authored May 12, 2020

The intention of this change is to reduce the code complexity within Keras class, especially for Network, which currently contains logic for both subclass Model and functional Model.

After this change, the subclass model and functional model become individual class and become self contained.

1. Model is now the base class for subclass model. It doesn't contains network structure management, and the topology will be created within __init__ and __call__, which is for user to implement. It also contains compile/fit/eval/predict, which is the basic functionality for model training.

2. Functional is created based on existing Network class. It extends the Model, which allows it leverage compile/fit/eval/predict. In addition, it also take input/output as init parameter and manage the network topology.

3. Sequential model is now a subclass of Functional, since it will use Functional's method to manage it topology (layer stacking).

Model(input, output) will create a Functional under the hood, and behave the same way as before.

PiperOrigin-RevId: 311232972

d08af90d

09 May, 2020 1 commit

Add an interface in nlp.modeling.networks.encoder_scaffold.EncoderScaffold and... · 5e641c43

A. Unique TensorFlower authored May 08, 2020

Add an interface in nlp.modeling.networks.encoder_scaffold.EncoderScaffold and nlp.modeling.networks.transformer_encoder.TransformerEncoder, to get the pooler Dense layer reference.

PiperOrigin-RevId: 310675150

5e641c43

08 May, 2020 1 commit

Add interfaces in nlp.modeling.networks.encoder_scaffold.EncoderScaffold,... · 56a2f704

A. Unique TensorFlower authored May 07, 2020

Add interfaces in nlp.modeling.networks.encoder_scaffold.EncoderScaffold, allowing it to output all hidden layer references, and all intermediate output data references.

PiperOrigin-RevId: 310509202

56a2f704

05 May, 2020 1 commit
- Introduce output_range for transformer layer and encoder last layer. · 563d923a
  Hongkun Yu authored May 05, 2020
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  563d923a
25 Apr, 2020 1 commit
- Make BertPretrainer to accept embedding_table explicitly · f7852565
  Sergey Mironov authored Apr 16, 2020
  
  f7852565
20 Apr, 2020 1 commit
- Set the name when creating layers.PositionEmbedding object. · 1f685c54
  Chen Chen authored Apr 20, 2020
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  1f685c54
08 Apr, 2020 1 commit

Rename arguments of EncoderScaffold: · db6aca44

Chen Chen authored Apr 08, 2020

num_output_classes -> pooled_output_dim
classification_layer_initializer -> pooler_layer_initializer

PiperOrigin-RevId: 305550415

db6aca44

12 Mar, 2020 1 commit
- Internal change · a12cec09
  Hongkun Yu authored Mar 11, 2020
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  a12cec09
05 Mar, 2020 2 commits
- Internal change · 2565629c
  Hongkun Yu authored Mar 05, 2020
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  2565629c
- Add README files in nlp/modeling folder. · ab6d40ca
  Jing Li authored Mar 05, 2020
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  ab6d40ca
04 Mar, 2020 1 commit
- Creates a models folder to host all keras.Model end points. · 0066ae22
  Hongkun Yu authored Mar 04, 2020
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  0066ae22
03 Mar, 2020 1 commit
- Attributes->Arguments. Be consistent with keras style. · 651677f5
  Hongkun Yu authored Mar 03, 2020
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  651677f5
13 Feb, 2020 1 commit
- Remove output_activation because it is not used anywhere. · e8140fa9
  Chen Chen authored Feb 12, 2020
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  e8140fa9
12 Feb, 2020 1 commit
- no need to use `tf.keras.backend` ops. Just use equivalent tf.* ops · 1b3b2839
  Hongkun Yu authored Feb 11, 2020
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  1b3b2839
08 Feb, 2020 1 commit
- Internal change · 347f4044
  Zongwei Zhou authored Feb 07, 2020
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  347f4044
05 Feb, 2020 1 commit

Adds return_all_encoder_outputs option to TransformerEncoder to build a... · 6d9256ce

Hongkun Yu authored Feb 05, 2020

Adds return_all_encoder_outputs option to TransformerEncoder to build a network returning all encoder layers outputs. This is useful for Transformer Seq2Seq.

PiperOrigin-RevId: 293395112

6d9256ce

04 Feb, 2020 1 commit
- Adds transformer_layers properties · fd72a90e
  Hongkun Yu authored Feb 03, 2020
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  fd72a90e
21 Jan, 2020 1 commit

Remove compute_output_shape. · 0e0a94a6

Hongkun Yu authored Jan 21, 2020

Keras: "manual" shape inference is only required if the layer is dynamic (otherwise we use TF's static shape inference capabilities)

PiperOrigin-RevId: 290821518

0e0a94a6

14 Jan, 2020 1 commit
- Internal change · f5e6e291
  A. Unique TensorFlower authored Jan 14, 2020
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  f5e6e291
08 Jan, 2020 1 commit
- Add scaffolds to default layer imports. · 3bb3f185
  A. Unique TensorFlower authored Jan 08, 2020
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  3bb3f185
07 Jan, 2020 1 commit
- Remove TimeDistributed. · 6b58625d
  Hongkun Yu authored Jan 07, 2020
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  6b58625d
19 Dec, 2019 1 commit
- Add an encoder scaffold. · 96095246
  A. Unique TensorFlower authored Dec 19, 2019
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  96095246
06 Dec, 2019 1 commit
- Internal change · 6e847fbd
  Chen Chen authored Dec 06, 2019
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  6e847fbd
05 Dec, 2019 1 commit
- Make albert_transformer_encoder*.py public available · ccf64277
  Chen Chen authored Dec 04, 2019
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  ccf64277
13 Nov, 2019 1 commit
- Internal change · c3bd5082
  A. Unique TensorFlower authored Nov 12, 2019
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  c3bd5082
11 Nov, 2019 1 commit

Release keras bert: · f1d35b4e

Hongkun Yu authored Nov 11, 2019

- Update classifier example.
- Add new converted checkpoints.
- Update benchmark,

PiperOrigin-RevId: 279762797

f1d35b4e