Operators missing for MXNet backend

[sandeep-krishnamurthy]

Variables and Placeholders

• [ ] Support for constraints in Keras variables and Placeholders

Update Operators

• [ ] update
• [ ] update_add
• [ ] update_sub

Graph Manipulations

• [ ] gradients

Layers

• [x] Embedding
• [ ] noise.GaussianNoise
• [ ] noise.GaussianDropout
• [ ] noise.AlphaDropout
• [ ] ConvLSTM2D

RNNs

• [x] rnn

  CNNs

• [x] conv1d
• [x] conv2d_transpose
• [x] separable_conv2d
• [x] depthwise_conv2d
• [x] conv3d
• [x] conv3d_transpose
• [ ] local_conv1d
• [ ] local_conv2d
• [x] pooling with SAME mode
• [x] conv1d with CAUSAL mode
• [x] separable_conv1D

Higher Order Functions

• [ ] map_fn
• [ ] foldl
• [ ] foldr

Sparse Tensors

• [x] Sparse tensors are supported
• [x] sparse sum
• [x] sparse mean
• [x] sparse concat
• [x] sparse dot
• [x] sparse embedding

NN Operators

• [x] sparse_categorical_crossentropy

Optimizers

• [ ] Adam_AMSGrad

Others

• [ ] truncated_normal
• [ ] cumsum
• [ ] cumprod
• [ ] logsumexp
• [ ] stack
• [ ] slice
• [ ] ctc
• [ ] module - https://github.com/awslabs/keras-apache-mxnet/issues/37
• [x] gather operator does not work with Embedding Layer - https://github.com/awslabs/keras-apache-mxnet/issues/6300000000000
• [ ] Pool2D with SAME mode.
• [ ] Depthwise and Separable Conv2D with multiplier != 1 and stride != 1
• [ ] Partial Loss is not supported. See here for more details - pytest tests/keras/engine/test_training.py -k "test_model_with_partial_loss"
• [ ] External Loss is not supported. See here for more details - pytest tests/keras/engine/test_training.py -k "test_model_with_external_loss"
• [ ] Does not support clone model

[Robchio]

Sorry for the obvious question - what's the meaning of a 'checked box' vs. an empty box?

Has 'checked' been implemented? For example, does keras-apache-mxnet support conv1d model layers or not?

[kalyc]

checked means implemented. So all of above operators containing a check mark beside their name are supported