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Showing content from https://github.com/signals-dev/Orion/issues/87 below:

dynamic scalability of TadGAN primitive based on `window_size` · Issue #87 · sintel-dev/Orion · GitHub

In the current implementation of cyclegan, changing the window_size might not successfully work since units the layers are independent.

For example the encoder layer is defined as:

"layers_encoder": {
                "type": "list",
                "default": [
                    {
                        "class": "keras.layers.Bidirectional",
                        "parameters": {
                            "layer": {
                                "class": "keras.layers.LSTM",
                                "parameters": {
                                    "units": 100,
                                    "return_sequences": true
                                }
                            }
                        }
                    },
                    {
                        "class": "keras.layers.Flatten",
                        "parameters": {}
                    },
                    {
                        "class": "keras.layers.Dense",
                        "parameters": {
                            "units": 20
                        }
                    },
                    {
                        "class": "keras.layers.Reshape",
                        "parameters": {
                            "target_shape": "encoder_reshape_shape"
                        }
                    }
                ]
            }

In this case, the units of the LSTM layers should equal to the input size (window_size).


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