Yes It was introduced in June with

  

      github.com/tensorflow/tensorflow
  

  
    
  
    
  

  
    
      updated convolutional_recurrent.py to include 1D, 2D, and 3D ConvLSTM instances. 6
    

    
      tensorflow:master ← mattlyon93:master
    

    
      
        opened 
        
          
        
        Mar 11, 2021
      
      

      
        
          
          mattlyon93
        
      

      
        
          +835
          -215
        
      
    
  


  
    Updating ConvLSTM to include 1D & 3D cases, as suggested by [this thread](https:…//github.com/tensorflow/tensorflow/issues/42399).

- Implementation involves creating Base N-dimensional `ConvRNN`, `ConvLSTMCell`, and `ConvLSTM` classes which are inherited from by the concrete implementations in `ConvLSTM1D`, `ConvLSTM2D`, and `ConvLSTM3D`. Currently limited to 3D as maximum Convolution dimensionality as that is the highest rank implemented in `keras.backend`.

- Rewrote tests to include 1D & 3D cases. The error message present in ConvLSTM2D as documented by [this thread](https://github.com/tensorflow/tensorflow/issues/36901) is still persistent.