masahi commented on issue #5243: [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array URL: https://github.com/apache/incubator-tvm/pull/5243#issuecomment-610052206 Great I got the following working. Also confirmed `get_tensor_array_shape` worked. Happy now :) Thank you very much! Unwrapping should enable supporting the "stacked" LSTM in https://github.com/pytorch/pytorch/blob/master/benchmarks/fastrnns/custom_lstms.py#L252, where the output from `LSTMLayer` is pipelined `num_layers` times to get a bigger network. ```Py def _tensor_array_stack(prelude): def _impl(inputs, input_types): shape = get_tensor_array_shape(inputs[0], "float32", prelude) stack = prelude.get_var_static('tensor_array_stack', "float32", shape) stacked = stack(inputs[0]) stacked_shape = (Any(),) + shape static_tensor_array_ops = StaticTensorArrayOps(prelude, "float32", shape) static_tensor_array_ops.define_tensor_get_data(stacked_shape) # passing stacked_shape below gives "'Prelude' object has no attribute" error get_tensor = prelude.get_var_static('tensor_get_data', "float32", shape) return get_tensor(stacked) return _impl ```
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
