All Versions
16
Latest Version
Avg Release Cycle
116 days
Latest Release
947 days ago
Changelog History
Page 1
Changelog History
Page 1
-
v0.150.0-BERT Changes
November 05, 2023What's Changed
- ๐ Improve RaggedTensor by @Beacontownfc in #1186
- feat: add the implementation of sample_weight in model.fit by @Wanglongzhi2001 in #1187
- ๐ Allow Model to cache weights. by @hchen2020 in #1188
- feat: add the implementation of class_weight in model.fit by @Wanglongzhi2001 in #1189
- ่งฃๅณkerasๆจกๅผไธ๏ผไฝฟ็จGPU่ฎญ็ปๆถไผ็ๆพๅญ็bugใ by @dogvane in #1190
- ๐ fix: Implemented support for loading models with Concatenate layers by @Jucko13 in #1192
- โ add relu6 by @dogvane in #1193
- ๐ fix: Saving a loaded model by @GaijinOtohp in #1201
- ๐ fix: add the implementation of the tile's and GatherND's grad and add OptionalArgs by @Wanglongzhi2001 in #1202
- ๐ fix: fix the bug of boolean_mask by @Wanglongzhi2001 in #1205
- โ test: add the concat_v2 test by @Wanglongzhi2001 in #1207
- ๐ fix: fix the bug caused by concat_v2 by @Wanglongzhi2001 in #1208
- ๐จ refactor: refacter the place of the kernel unittest folder by @Wanglongzhi2001 in #1209
๐ New Contributors
- @hchen2020 made their first contribution in #1188
- @Jucko13 made their first contribution in #1192
- @GaijinOtohp made their first contribution in #1201
Full Changelog : v0.110.4-Transformer-Model...v0.150.0-BERT-Model
-
v0.110.4-Transformer Changes
September 24, 2023What's Changed
- ๐ fix: revise earlystopping callback's min_delta parameter and add GRUCell layer by @Wanglongzhi2001 in #1120
- ๐ fix: fix the bug of repeated progress bar in Model.fit() by @Wanglongzhi2001 in #1123
- ๐ fix: A bug fix in KerasObjectLoader.cs by @RachamimYaakobov in #1124
- ๐ fix: inconsistent shape error while training embedding layer by @lingbai-kong in #1125
- โ Add pad preprocessing for
imdbdataset by @lingbai-kong in #1126 - ๐ fix: optimize some APIs by @Beacontownfc in #1129
- ๐ fix: add EinsumGrad by @lingbai-kong in #1132
- โ Add a new optimizer by @Beacontownfc in #1136
- ๐ fix: Fix the problem where the model.save_weights() can't save multi-layer weight by @Beacontownfc in #1137
- ๐ fix: exp moved to tf.math.cs by @BalashovK in #1139
- ๐ fix same bug by @dogvane in #1140
- fix flip_left_right run bug by @dogvane in #1143
- ๐ fix bug by @dogvane in #1145
- ๐ fix: fix the bug of load LSTM model and add test by @Wanglongzhi2001 in #1144
- ๐ fix: ignore the LSTMLoad test by @Wanglongzhi2001 in #1146
- ๐ fix: make the initialization of the layer's name correct by @Wanglongzhi2001 in #1148
- feat: add Bidirectional layer by @Wanglongzhi2001 in #1149
- ๐ Fix: model.load_weights by @Beacontownfc in #1154
- ๐ fix: revise np.amin, np.amax and add np.argmin by @Wanglongzhi2001 in #1155
- feat: add adjust_contrast, adjust_hue, combined_non_max_suppression, crop_and_resize image oprs by @Wanglongzhi2001 in #1157
- ๐ fix: add the gradient of the tf.gradient opr by @Wanglongzhi2001 in #1159
- ๐ fix: add the momentum parameter's implemention of SGD by @Wanglongzhi2001 in #1161
- ๐ fix: remove the reflection in the implemention of Bidirectional by @Wanglongzhi2001 in #1162
- ๐ fix: partially fix the bug of load_model by @Wanglongzhi2001 in #1164
- ๐ fix: validate dataset of
Imdbdo not load bug & add: customImdbpath by @lingbai-kong in #1165 - feat: implement GRU layer by @Wanglongzhi2001 in #1168
- โ add: loading pickled npy file for imdb dataset loader by @lingbai-kong in #1169
- ๐ fix: model does not stop on stop_training == true #1170 by @asaf92 in #1171
- โ cached_session for graph tests by @novikov-alexander in #1172
- โ Gradient tests which were dependant only on cached_session by @novikov-alexander in #1173
- โก๏ธ optimize: temporal complexity of Imdb dataset loader by @lingbai-kong in #1175
- ๐ fix: improve unpickler speed with BufferedStream by @lingbai-kong in #1176
- ๐ fix: fix EarlyStopping by @Wanglongzhi2001 in #1180
- ๐ fix: adjust imdb dataset loader for faster loading speed by @lingbai-kong in #1182
๐ New Contributors
- @RachamimYaakobov made their first contribution in #1124
- @asaf92 made their first contribution in #1171
- @novikov-alexander made their first contribution in #1172
Full Changelog : v0.110.0-LSTM-Model...v0.110.4-Transformer-Model
-
v0.110.0 Changes
June 26, 2023What's Changed
- ๐ fix: predict with multiple outputs by @fryguy1013 in #1065
- ๐จ refactor: some gen_ops with added code generator. by @AsakusaRinne in #1063
- ๐ fix: error when using graph in multi-threads. by @AsakusaRinne in #1068
- ๐ docs: add discord info to readme. by @AsakusaRinne in #1069
- ๐ docs: update readme file. by @AsakusaRinne in #1070
- ๐ docs: add tf.keras badge to readme. by @AsakusaRinne in #1072
- ๐ docs: add vote info to readme. by @AsakusaRinne in #1075
- ๐ fix: error when set the activation of keras.layers.Conv2DTranspose to null. by @lingbai-kong in #1076
- ๐ fix: can't implement len for KerasShapesWrapper & Add bias implement to Conv2DTranspose.Call() by @lingbai-kong in #1078
- ๐ fix: status null reference of base session. by @AsakusaRinne in #1079
- ๐ build: add scripts to split large native library file. by @AsakusaRinne in #1071
- ๐ fix: temporarily fix the sequential nest error. by @AsakusaRinne in #1086
- ๐ fix: Update PredictInternational on Model.Predict.cs by @DevNullx64 in #1087
- ๐ fix: A new feature for NDArray.max by @RayWang-iat in #1091
- feat: add rnn basic modules by @AsakusaRinne in #1097
- ๐ fix: some possible errors of RNN. by @AsakusaRinne in #1098
- โ Add feature(not completed):add SimpleRNNCell, StackedRNNCell, RNN and test. by @Wanglongzhi2001 in #1100
- ๐ feat: support training of RNN. by @AsakusaRinne in #1109
- ๐จ refactor: Model.eval by @DevNullx64 in #1092
- โก๏ธ feat: np update square and dot product by @visagang in #1111
- ๐ feat: Support training of RNN and LSTM. by @Wanglongzhi2001 in #1110
- ๐ fix: error pf training RNN on Linux by @AsakusaRinne in #1113
- ๐ Improve the API of LayerNormalization by @Beacontownfc in #1114
- ๐ fix: type converting errors when loading imdb dataset by @lingbai-kong in #1116
- ๐จ refactor: Standardize TensorFlowNET.Keras/Losses/* by @DevNullx64 in #1089
- โ feat: Add UpSampling1D layer and test. by @Wanglongzhi2001 in #1117
๐ New Contributors
- @fryguy1013 made their first contribution in #1065
- @lingbai-kong made their first contribution in #1076
- @DevNullx64 made their first contribution in #1087
- @RayWang-iat made their first contribution in #1091
- @visagang made their first contribution in #1111
- @Beacontownfc made their first contribution in #1114
Full Changelog : v0.100.5...v0.110.0-LSTM-Model
-
v0.100.5-BERT Changes
May 05, 2023What's Changed
- โก๏ธ Optimize the readme files by @AsakusaRinne in #994
- ๐ Fix some typo of readme. by @AsakusaRinne in #995
- โ Add default value of parameter of keras softmax. by @AsakusaRinne in #997
- ๐ Support the multiple inputs of keras model.fit. by @AsakusaRinne in #996
- Automatically add KerasInterface to tf by @AsakusaRinne in #998
- โฌ๏ธ Reduce the time of keras unittest. by @AsakusaRinne in #999
- ๐ Support mutiple inputs of keras modek.predict. by @AsakusaRinne in #1000
- Refine keras.Activation and add tf.keras.activations. by @AsakusaRinne in #1001
- โ Add github issue templates. by @AsakusaRinne in #1002
- ๐ Fix the error of issue templates. by @AsakusaRinne in #1003
- ๐ Fix model.evaluate don't have output by @Wanglongzhi2001 in #1004
- โ Add EarlyStopping callback by @Wanglongzhi2001 in #1007
- โ Add a Stop_training property by @Wanglongzhi2001 in #1008
- โ Add shape deduce for mean square error grad. by @AsakusaRinne in #1010
- Fix validation_split has no output and add validation_data parameter to model.fit by @Wanglongzhi2001 in #1014
- โ Added: complex, real, imag, angle by @BalashovK in #1011
- โ Added: fft, ifft, fft2d, ifft2d, fft3d, ifft3d by @BalashovK in #1016
- ๐ Fix the bug of non-convergence when use SparseCategoricalCrossentropy by @Wanglongzhi2001 in #1018
- Finish EarlyStopping by @Wanglongzhi2001 in #1020
- Finish EarlyStopping by @Wanglongzhi2001 in #1021
- ๐ Fix the error when saving model with GPU. by @AsakusaRinne in #1023
- ๐ Partially Support the function loading by @AsakusaRinne in #1022
- ๐ Fix the error when loading VGG19. by @AsakusaRinne in #1027
- ๐ Fix the error of example caused by #1022 by @AsakusaRinne in #1029
- ๐ Fix the error when loading Conv1D layer with initialzier. by @AsakusaRinne in #1031
- Add set_weights and get_weighst APIs by @Wanglongzhi2001 in #1030
- ๐ Fix the error of loading model saved before tf2.5. by @AsakusaRinne in #1032
- ๐ Change type of BuildInputShape and BatchInputShape by @AsakusaRinne in #1033
- โ Add Tensorflow.NET.Hub by @AsakusaRinne in #1034
- ๐ Change some project information by @AsakusaRinne in #1035
- ๐ Fix (#1036) and adjust the keras unittest by @AsakusaRinne in #1039
- Partially fix the error when crop image. by @AsakusaRinne in #1043
- โ Add the constructor of NDArray which reuses memory by @AsakusaRinne in #1044
- ๐ ci: add ci for test and auto-release. by @AsakusaRinne in #1047
- ๐ fix: partially fix the error when saving model after loading. by @AsakusaRinne in #1049
๐ New Contributors
- @Wanglongzhi2001 made their first contribution in #1004
- @BalashovK made their first contribution in #1011
Full Changelog : v0.100.4-load-saved-model...v0.100.5-BERT-load
-
v0.100.4-load Changes
March 03, 2023What's Changed
- ๐ Fix IO Exception from keras.fit. by @AsakusaRinne in #959
- โฌ๏ธ Bump Newtonsoft.Json from 13.0.1 to 13.0.2 in /src/TensorFlowNET.Keras by @dependabot in #963
- โ Removed use of tf.Status static instance by @Superpiffer in #975
- โ Add pb model save by @Oceania2018 in #976
- ๐ Use a local Status variable by @Superpiffer in #978
- ๐ Fix ConvTraspose2D gradient and register rsqrt gradient. by @AsakusaRinne in #980
- Reimplemented NDArray == and != operators, handling null values by @Superpiffer in #982
- Fix the keras.sparse_categorical_crossentropy. (#985) by @AsakusaRinne in #987
- ๐ Support loading of SavedModel format by @AsakusaRinne in #989
- ๐ Fix issue #760 by @AsakusaRinne in #992
- Align keras.Input with tensorflow python. by @AsakusaRinne in #993
๐ New Contributors
- @AsakusaRinne made their first contribution in #959
- @dependabot made their first contribution in #963
- @Superpiffer made their first contribution in #975
Full Changelog : v0.70.2-NET6...v0.100.4-load-saved-model
-
v0.70.2-NET
November 13, 2022 -
v0.70.0-TimeSeries
January 09, 2022 -
v0.40-tf2.4 Changes
March 14, 2021TensorFlow v0.40 only work with TensorFlow native v2.4+ due to breaking change of TF_String.
-
v0.30 Changes
December 13, 2020๐ Partially supporting for TensorFlow Keras API.
-
v0.20 Changes
September 19, 2020This version is built based on tensorflow 2.3, implemented the
Eager Mode.