NETWORK API REFACTORING - TO DO LIST

Design Docs

Refactoring Codes

Dear Contributors,

@DEKHTIARJonathan @akaraspt @luomai @lgarithm @JingqingZ @fangde etal.

As we discussed previously, TensorLayer 2.0 should support both eager and graph mode. The new API design is here luomai/tensorlayer2-design#7

To make the refactoring faster, I simply fork tensorlayer/tensorlayer into zsdonghao/tensorlayer2: https://github.com/zsdonghao/tensorlayer2 , we can merge the branch back to tensorlayer/tensorlayer when the refactoring is finished. In doing so, the contributions will be in may commits rather than only 1.

Work to be done

Layers

• core.py:
  • Layer:
    • refactored @JingqingZ 2019/01/28
    • tested @JingqingZ 2019/01/31 2019/03/06
    • documentation @JingqingZ 2019/03/06
  • ModelLayer:
    • created @JingqingZ 2019/01/28
    • tested @JingqingZ 2019/03/06
    • documentation @JingqingZ 2019/03/06
  • LayerList:
    • created @JingqingZ 2019/01/28 @ChrisWu1997
    • tested @JingqingZ 2019/03/06
    • documentation @JingqingZ 2019/03/06
  • LayerNode:
    • created @ChrisWu1997
    • tested @ChrisWu1997 2019/03/22
    • documentation @ChrisWu1997 2019/03/22
• activation.py:
  • PRelu:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/20
    • tested @JingqingZ 2019/03/20
    • documentation @JingqingZ 2019/03/20
  • PRelu6:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/20
    • tested @JingqingZ 2019/03/20
    • documentation @JingqingZ 2019/03/20
  • PTRelu6:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/20
    • tested @JingqingZ 2019/03/20
    • documentation @JingqingZ 2019/03/20
• convolution/
  • AtrousConv1dLayer, AtrousConv2dLayer and AtrousDeConv2d are removed, use Conv1d/2d and DeConv2d with dilation_rate instead. (🀄️remember to change CN docs)
  • BinaryConv2d:
    • refactored @zsdonghao 2018/12/05
    • tested @warshallrho 2019/03/16
    • documentation @warshallrho 2019/03/20
  • Conv1d:
    • refactored @zsdonghao 2019/01/16
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • Conv2d:
    • refactored @zsdonghao 2019/01/16
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • Conv3d:
    • add @zsdonghao 2019/01/16 : (🀄️remember to change CN docs)
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • Conv1dLayer:
    • refactored @zsdonghao 2018/12/05
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • Conv2dLayer:
    • refactored @zsdonghao 2018/12/05
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • Conv3dLayer:
    • refactored @zsdonghao 2018/12/05
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • DeConv1dLayer:
    • refactored @warshallrho 2019/03/16
    • tested @warshallrho 2019/03/16
    • documentation @warshallrho 2019/03/17
  • DeConv2dLayer:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • DeConv3dLayer:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • DeConv2d:
    • refactored @zsdonghao 2019/01/16
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • DeConv3d:
    • refactored @zsdonghao 2019/01/16
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/17
  • DeformableConv2d:
    • refactored @warshallrho 2019/03/18
    • tested @warshallrho 2019/03/18
    • documentation @warshallrho 2019/03/18
  • DepthwiseConv2d:
    • refactored @zsdonghao 2018/12/05
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/18
  • DorefaConv2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/17
    • documentation @warshallrho 2019/03/20
  • GroupConv2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/17
    • documentation @warshallrho 2019/03/20
  • QuanConv2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/17
    • documentation @warshallrho 2019/03/20
  • QuanConv2dWithBN:
    • refactored
    • tested
    • documentation
  • SeparableConv1d:
    • refactored @zsdonghao 2019/01/16
    • tested @warshallrho 2019/03/17
    • documentation @warshallrho 2019/03/18
  • SeparableConv2d:
    • refactored @zsdonghao 2019/01/16
    • tested @warshallrho 2019/03/17
    • documentation @warshallrho 2019/03/18
  • SubpixelConv1d:
    • refactored @zsdonghao 2018/12/05 @warshallrho 2019/03/18
    • tested @warshallrho 2019/03/18
    • documentation @warshallrho 2019/03/18
  • SubpixelConv2d:
    • refactored @zsdonghao 2018/12/05 @warshallrho 2019/03/18
    • tested @warshallrho 2019/03/18
    • documentation @warshallrho 2019/03/18
  • TernaryConv2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/17
    • documentation @warshallrho 2019/03/20
• dense/ [WIP] @ChrisWu1997
  • BinaryDense:
    • refactored @zsdonghao 2018/12/06
    • tested @ChrisWu1997 2019/04/23 need further test by example
    • documentation @ChrisWu1997 2019/04/23
  • Dense:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/01/28
    • tested @JingqingZ 2019/01/31 2019/03/06 2019/03/15
    • documentation @JingqingZ 2019/03/15
  • DorefaDense:
    • refactored @zsdonghao 2018/12/04
    • tested @ChrisWu1997 2019/04/23 need further test by example
    • documentation @ChrisWu1997 2019/04/23
  • DropconnectDense:
    • refactored @zsdonghao 2018/12/05
    • tested @ChrisWu1997 2019/04/23 need further test by example
    • documentation @ChrisWu1997 2019/04/23
  • QuanDense:
    • refactored @zsdonghao 2018/12/06
    • tested @ChrisWu1997 2019/04/23 need further test by example
    • documentation @ChrisWu1997 2019/04/23
  • QuanDenseWithBN:
    • refactored
    • tested
    • documentation
  • TernaryDense:
    • refactored @zsdonghao 2018/12/06
    • tested @ChrisWu1997 2019/04/23 need further test by example
    • documentation @ChrisWu1997 2019/04/23
• dropout.py
  • Dropout:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/01/28
    • tested @JingqingZ 2019/01/31 2019/03/06 2019/03/15
    • documentation @JingqingZ 2019/03/15
• extend.py
  • ExpandDims:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/22
    • tested @JingqingZ 2019/03/22
    • documentation @JingqingZ 2019/03/22
  • Tile:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/22
    • tested @JingqingZ 2019/03/22
    • documentation @JingqingZ 2019/03/22
• image_resampling.py
  • UpSampling2d:
    • refactored @zsdonghao 2018/12/04 @ChrisWu1997 2019/04/03
    • tested @ChrisWu1997 2019/04/03
    • documentation @ChrisWu1997 2019/04/03
  • DownSampling2d:
    • refactored @zsdonghao 2018/12/04 @ChrisWu1997 2019/04/03
    • tested @ChrisWu1997 2019/04/03
    • documentation @ChrisWu1997 2019/04/03
• importer.py
  • SlimNets:
    • refactored
    • tested
    • documentation
  • Keras:
    • refactored
    • tested
    • documentation
• inputs.py
  • Input:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/01/28
    • tested @JingqingZ 2019/03/06
    • documentation @JingqingZ 2019/03/06
• embedding.py
  • OneHotInput: --> OneHot (🀄️remember to change CN docs)
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/02/23
    • tested @JingqingZ 2019/03/19
    • documentation @JingqingZ 2019/03/19
  • Word2vecEmbeddingInput: --> Word2vecEmbedding (🀄️remember to change CN docs)
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/02/21
    • tested @JingqingZ 2019/03/19
    • documentation @JingqingZ 2019/03/19
  • EmbeddingInput: --> Embedding
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/02/22
    • tested @JingqingZ 2019/03/19
    • documentation @JingqingZ 2019/03/19
  • AverageEmbeddingInput: --> AverageEmbedding (🀄️remember to change CN docs)
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/02/20
    • tested @JingqingZ 2019/03/19
    • documentation @JingqingZ 2019/03/19
• lambda_layers.py
  • ElementwiseLambda:
    • refactored @JingqingZ 2019/03/24
    • tested @JingqingZ 2019/03/24
    • documentation @JingqingZ 2019/03/24
  • Lambda:
    • refactored @JingqingZ 2019/03/24
    • tested @JingqingZ 2019/03/24
    • documentation @JingqingZ 2019/03/24
• merge.py
  • Concat:
    • refactored @zsdonghao 2018/12/04
    • tested @JingqingZ 2019/03/15
    • documentation @JingqingZ 2019/03/15
  • Elementwise:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/15
    • tested @JingqingZ 2019/03/15
    • documentation @JingqingZ 2019/03/15
• noise.py
  • GaussianNoise:
    • refactored @zsdonghao 2018/12/04
    • tested @warshallrho 2019/03/20
    • documentation @warshallrho 2019/03/20
• normalization.py
  • BatchNorm:
    • refactored @ChrisWu1997 2019/01/22 @ChrisWu1997 2019/03/05
    • tested @ChrisWu1997 2019/03/22
    • documentation @ChrisWu1997 2019/03/22
  • BatchNorm1d:
    • refactored @ChrisWu1997 2019/03/05
    • tested @ChrisWu1997 2019/03/22
    • documentation @ChrisWu1997 2019/03/22
  • BatchNorm2d:
    • refactored @ChrisWu1997 2019/03/05
    • tested @ChrisWu1997 2019/03/22
    • documentation @ChrisWu1997 2019/03/22
  • BatchNorm3d:
    • refactored @ChrisWu1997 2019/03/05
    • tested @ChrisWu1997 2019/03/22
    • documentation @ChrisWu1997 2019/03/22
  • GroupNorm:
    • refactored @zsdonghao 2018/12/05
    • tested
    • documentation
  • InstanceNorm:
    • refactored @zsdonghao 2018/12/05
    • tested
    • documentation
  • LayerNorm:
    • refactored @ChrisWu1997 2019/01/23
    • tested
    • documentation
  • LocalResponseNorm:
    • refactored @zsdonghao 2018/12/05
    • tested
    • documentation
  • SwitchNorm:
    • refactored @zsdonghao 2018/12/05
    • tested
    • documentation
• padding.py
  • PadLayer:
    • refactored @zsdonghao 2018/12/04
    • tested @warshallrho 2019/03/21
    • documentation @warshallrho 2019/03/21
  • ZeroPad1d:
    • refactored @zsdonghao 2018/12/04
    • tested @warshallrho 2019/03/21
    • documentation @warshallrho 2019/03/21
  • ZeroPad2d:
    • refactored @zsdonghao 2018/12/04
    • tested @warshallrho 2019/03/21
    • documentation @warshallrho 2019/03/21
  • ZeroPad3d:
    • refactored @zsdonghao 2018/12/04
    • tested @warshallrho 2019/03/21
    • documentation @warshallrho 2019/03/21
• pooling/
  • MaxPool1d:
    • refactored @zsdonghao 2019/01/08
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/19
  • MaxPool2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/19
  • MaxPool3d:
    • refactored @zsdonghao 2019/01/08
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/19
  • MeanPool1d:
    • refactored @zsdonghao 2019/01/08
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/19
  • MeanPool2d:
    • refactored @zsdonghao 2019/01/08
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/19
  • MeanPool3d:
    • refactored @zsdonghao 2019/01/08
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/19
  • GlobalMaxPool1d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/15
  • GlobalMaxPool2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/15
  • GlobalMaxPool3d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/15
  • GlobalMeanPool1d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/15
  • GlobalMeanPool2d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/15
  • GlobalMeanPool3d:
    • refactored @zsdonghao 2018/12/06
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/15
  • PoolLayer:
    • refactored @zsdonghao 2018/12/04
    • tested @warshallrho 2019/03/15
    • documentation @warshallrho 2019/03/18
• quantize_layers.py
  • Sign:
    • refactored
    • tested
    • documentation
• recurrent/
  • BiRNN:
    • refactored @JingqingZ 2019/04/08
    • tested @JingqingZ 2019/04/08
    • documentation @JingqingZ 2019/04/08
  • ConvLSTM:
    • refactored
    • tested
    • documentation
  • RNN:
    • refactored @JingqingZ 2019/03/31
    • tested @JingqingZ 2019/03/31
    • documentation @JingqingZ 2019/03/31
  • Seq2Seq:
    • refactored
    • tested
    • documentation
• shape.py
  • Flatten:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/22
    • tested @JingqingZ 2019/03/22
    • documentation @JingqingZ 2019/03/22
  • Reshape:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/22
    • tested @JingqingZ 2019/03/22
    • documentation @JingqingZ 2019/03/22
  • Transpose:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/22
    • tested @JingqingZ 2019/03/22
    • documentation @JingqingZ 2019/03/22
• scale.py
  • Scale:
    • refactored @zsdonghao 2018/12/04 @JingqingZ 2019/03/22
    • tested @JingqingZ 2019/03/22
    • documentation @JingqingZ 2019/03/22
• contrib
  • ROIPooling:
    • refactored
    • tested
    • documentation
• spatial_transformer.py
  • SpatialTransformer2dAffine: see test_layers_spatial_transformer.py
    • refactored
    • tested
    • documentation
• stack.py [WIP] @ChrisWu1997
  • Stack:
    • refactored @zsdonghao 2018/12/04
    • tested @ChrisWu1997 2019/04/23
    • documentation @ChrisWu1997 2019/04/23
  • UnStack:
    • refactored @zsdonghao 2018/12/04
    • tested @ChrisWu1997 2019/04/23
    • documentation @ChrisWu1997 2019/04/23
• time_distribution.py Remove, as eager mode support this feature (🀄️remember to change CN docs)
  • TimeDistributed:

tl.models

• core.py
  • Model:
    • refactored @JingqingZ 2019/01/28 @ChrisWu1997 2019/02/16 2019/02/22
    • tested @ChrisWu1997 2019/03/21
    • documentation @ChrisWu1997 2019/03/21
• vgg.py
  • vgg:
    • refactored @warshallrho 2019/02/19
    • tested
    • documentation @warshallrho 2019/03/21 @ChrisWu1997 2019/03/21
  • vgg16:
    • refactored @warshallrho 2019/02/19
    • tested
    • documentation @warshallrho 2019/03/21 @ChrisWu1997 2019/03/21
  • vgg19:
    • refactored @warshallrho 2019/03/09
    • tested
    • documentation @warshallrho 2019/03/21 @ChrisWu1997 2019/03/21
• mobilenetv1.py
  • MobileNet:
    • refactored @ChrisWu1997 2019/04/23
    • tested @ChrisWu1997 2019/04/23
    • documentation @ChrisWu1997 2019/04/23
  • SqueezeNet:
    • refactored @ChrisWu1997 2019/04/23
    • tested @ChrisWu1997 2019/04/23
    • documentation @ChrisWu1997 2019/04/23

Examples

• basic_tutorials
  Too many basic tutorials, some codes can be removed.
  • Static model example MNIST @JingqingZ 2019/01/28 2019/03/24
  • Dynamic model example MNIST @JingqingZ 2019/01/28 2019/03/24
  • Static model example CIFAR10 (with dataset API) @ChrisWu1997 2019/03/24
  • Siamese example MNIST @ChrisWu1997 2019/03/26
  • tutorial_mnist_float16.py removed by @ChrisWu1997
  • tutorial_mnist_simple.py removed by @ChrisWu1997
• data_process
  • tutorial_fast_affine_transform.py
    • refactored @ChrisWu1997 2019/04/11
    • tested @ChrisWu1997 2019/04/11
  • tutorial_image_preprocess.py removed by @zsdonghao
  • tutorial_tf_dataset_voc.py
    • refactored @ChrisWu1997 2019/04/11
    • tested @ChrisWu1997 2019/04/11
  • tutorial_tfrecord.py
    • refactored @ChrisWu1997 2019/04/11
    • tested @ChrisWu1997 2019/04/11
  • tutorial_tfrecord2.py
    • refactored @ChrisWu1997 2019/04/11
    • tested @ChrisWu1997 2019/04/11
  • tutorial_tfrecord3.py
    • refactored
    • tested
• database
  • refactored
  • tested
• distributed_training
  • tutorial_cifar10_distributed_trainer.py
    • refactored
    • tested
  • tutorial_mnist_distributed_trainer.py
    • refactored
    • tested
• keras_tfslim
  • tutorial_keras.py
    • refactored @ChrisWu1997 2019/04/11
    • tested @ChrisWu1997 2019/04/11
  • tutorial_tfslim.py removed by @ChrisWu1997
• pretrained_cnn
  • tutorial_inceptionV3_tfslim.py
  • tutorial_mobilenet.py removed by @ChrisWu1997 2019/04/23
  • tutorial_models_mobilenetv1.py
    • refactored @ChrisWu1997 2019/04/23
    • tested @ChrisWu1997 2019/04/23
  • tutorial_models_squeezenetv1.py
    • refactored @ChrisWu1997 2019/04/23
    • tested @ChrisWu1997 2019/04/23
  • tutorial_models_vgg.py
    • refactored @warshallrho 2019/04/30
    • tested
  • tutorial_models_vgg_static.py
    • refactored @warshallrho 2019/04/30
    • tested
  • tutorial_models_vgg16.py
    • refactored @warshallrho 2019/02/19
    • tested
  • tutorial_models_vgg19.py
    • refactored @warshallrho 2019/03/09
    • tested
  • tutorial_squeezenet.py removed by @ChrisWu1997 2019/04/23
  • tutorial_vgg16.py removed by @warshallrho 2019/04/30
  • tutorial_vgg19.py removed by @warshallrho 2019/04/30
• quantized_net
  • tutorial_binarynet_cifar10_tfrecord.py
    • refactored
    • tested
  • tutorial_binarynet_mnist_cnn.py
    • refactored
    • tested
  • tutorial_dorefanet_cifar10_tfrecord.py
    • refactored
    • tested
  • tutorial_dorefanet_mnist_cnn.py
    • refactored
    • tested
  • tutorial_quanconv_cifar10.py
    • refactored
    • tested
  • tutorial_quanconv_mnist.py
    • refactored
    • tested
  • tutorial_ternaryweight_cifar10_tfrecord.py
    • refactored
    • tested
  • tutorial_ternaryweight_mnist_cnn.py
    • refactored
    • tested
• reinforcement_learning
  • tutorial_atari_pong.py @zsdonghao 2019/01/21
    • refactored
    • tested
  • tutorial_bipedalwalker_a3c_continuous_action.py
    • refactored
    • tested
  • tutorial_cartpole_ac.py @zsdonghao 2019/02/17
    • refactored
    • tested
  • tutorial_frozenlake_dqn.py @zsdonghao 2019/02/16
    • refactored
    • tested
  • tutorial_frozenlake_q_table.py @zsdonghao 2019/02/16
    • refactored
    • tested
• text_classification
  • tutorial_imdb_fasttext.py @JingqingZ 2019/03/14
    • refactored
    • tested
• text_generation
  • tutorial_generate_text.py
    • refactored
    • tested
• text_ptb
  Are they duplicated?
  • tutorial_ptb_lstm_state_is_tuple.py
    • refactored
    • tested
  • tutorial_ptb_lstm.py
    • refactored
    • tested
• text_word_embedding
  • tutorial_word2vec_basic.py @JingqingZ 2019/02/21 2019/03/19
    • refactored
    • tested

Others

• tl.activation.py
  • refactored @JingqingZ 2019/03/06
  • tested @JingqingZ 2019/03/06
  • documentation @JingqingZ 2019/03/06
• tl.cli
  • refactored no update needed @ChrisWu1997 2019/04/12
• tl.decorators
  • refactored no update needed @ChrisWu1997 2019/04/12
• tl.logging
  • refactored no update needed @ChrisWu1997 2019/04/12
• tl.optimizers
  • refactored
• tl.third_party
  • refactored
• tl.array_ops
  • refactored no update needed @ChrisWu1997 2019/04/12
• tl.cost
  • refactored @ChrisWu1997 2019/04/12
  • documentation @ChrisWu1997 2019/04/12
• tl.db [WIP] @ChrisWu1997
  • refactored
• tl.distributed
  • refactored
• tl.initializers
  • refactored @ChrisWu1997 2019/04/12
  • tested @ChrisWu1997 2019/04/12
  • documentation @ChrisWu1997 2019/04/12
• tl.iterate
  • refactored no update needed @ChrisWu1997 2019/04/12
• tl.lazy_imports
  • refactored no update needed @ChrisWu1997 2019/04/12
• tl.nlp @OliverZijia @JingqingZ
  • refactored
• tl.package_info
  • refactored
• tl.prepro
  • refactored @ChrisWu1997 2019/04/11
• tl.rein
  • refactored
• tl.utils
  • refactored @ChrisWu1997 2019/04/17
  • tested by tutorial_mnist_simple.py @ChrisWu1997 2019/04/17
  • documentation @ChrisWu1997 2019/04/17
• tl.visualize
  • refactored no update needed @ChrisWu1997 2019/04/12

Unittests Status:

• performance_test
  • VGG @JingqingZ @ChrisWu1997 @warshallrho 2019/03/20
• layers
  • test_layernode.py @ChrisWu1997 2019/03/22
  • test_layers_activation.py @JingqingZ 2019/03/20
  • test_layers_convolution.py (1d, 2d, 3d) @warshallrho 2019/03/20
  • test_layers_core_basedense_dropout.py @JingqingZ 2019/03/06
  • test_layers_convolution_deformable.py @warshallrho 2019/03/18
  • test_layers_embedding.py @JingqingZ 2019/03/19
  • test_layers_extend.py @JingqingZ 2019/03/22
  • test_layers_lambda.py @JingqingZ 2019/03/24
  • test_layers_merge.py @JingqingZ 2019/03/15
  • test_layers_noise.py @warshallrho 2019/03/21
  • test_layers_padding.py @warshallrho 2019/03/21
  • test_layers_pooling.py @warshallrho 2019/03/18
  • test_layers_recurrent.py @JingqingZ 2019/03/06
  • test_layers_scale.py @JingqingZ 2019/03/22
  • test_layers_shape.py @JingqingZ 2019/03/22
• test_activations.py @JingqingZ 2019/03/06
• models
  • test_model_save_graph.py @warshallrho 2019/04/30

Unittests Status (Pending):

Some testing codes can be removed.

• test_array_ops.py
• test_decorators.py
• test_documentation.py
• test_layers_basic.py
• test_layers_flow_control.py removed in favour of eager mode @zsdonghao 2018/12/04 (🀄️remember to change CN docs)
• test_layers_importer.py
• test_layers_normalization.py
• test_layers_padding.py
• test_layers_spatial_transformer.py
• test_layers_stack.py
• test_layers_super_resolution.py
• test_layers_time_distributed.py
• test_logging.py
• test_logging_hyperdash.py
• test_mnist_simple.py
• test_model_compilednetwork.py
• test_models.py
• test_network_custom_2d.py
• test_network_custom_input_layers.py
• test_network_custom_multiple_inputs.py
• test_network_custom_multiple_outputs.py
• test_network_sequential_1d.py
• test_network_sequential_2d.py
• test_network_sequential_3d.py
• test_network_sequential_rnn.py
• test_optimizer_amsgrad.py
• test_pydocstyle.py
• test_reuse_mlp.py
• test_tf_layers.py
• test_timeout.py
• test_utils_predict.py
• test_yapf_format.py

tl.files

All save/load methods are also wrapped as class method in model core.

• save_hdf5_graph
  • created @warshallrho 2019/04/27
  • tested @warshallrho 2019/04/27
  • documentation @warshallrho 2019/04/27
• load_hdf5_graph
  • created @warshallrho 2019/04/27
  • tested @warshallrho 2019/04/27
  • documentation @warshallrho 2019/04/27
• save_weights_to_hdf5
  • created
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• load_hdf5_to_weights_in_order
  • created
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• load_hdf5_to_weights
  • created
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• save_npz([save_list, name, sess]) @ChrisWu1997 2019/02/21 --> save_npz([save_list, name]) @ChrisWu1997 2019/03/21
  • refactored
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• load_npz([path, name]) @ChrisWu1997 2019/02/21
  • refactored
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• assign_params(sess, params, network) --> assign_weights (🀄️remember to change CN docs) @ChrisWu1997 2019/02/22
  • refactored
  • tested
• load_and_assign_npz([sess, name, network]) @ChrisWu1997 2019/02/21 --> load_and_assign_npz([name, network]) @ChrisWu1997 2019/03/21
  • refactored
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• save_npz_dict([save_list, name, sess]) @ChrisWu1997 2019/02/22 --> save_npz_dict([save_list, name]) @ChrisWu1997 2019/03/21
  • refactored
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• load_and_assign_npz_dict([name, sess]) --> ([name, network]) @ChrisWu1997 2019/03/21
  • refactored
  • tested @ChrisWu1997 2019/03/26
  • documentation @ChrisWu1997 2019/03/26
• save_ckpt([sess, mode_name, save_dir, …]) @ChrisWu1997 2019/02/22
  • refactored
  • tested
• load_ckpt([sess, mode_name, save_dir, …]) @ChrisWu1997 2019/02/22
  • refactored
  • tested