See https://github.com/dmlc/tvm/pull/2881.
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Could you provide a minimal working example so I can repro?
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Thanks for bringing this up @vinx13. I'll look into it today.
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you should most likely still want to use astext as opposed to the debug print..
the function order seems to be an issue
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This issue is introduced by https://github.com/dmlc/tvm/pull/2605
It is useful to print relay ir after passes for debug. Adding
`print(ir_pass.pass_debug_print(func, show_meta_data=False))` after
`ir_pass.fuse_ops` in relay.build_module, sub-functions are printted in reverse
order which are d
Document is at https://www.tensorflow.org/api_docs/python/tf/TensorArray
This code snippet generates several tensorflow ops:
[TensorArrayV3, TensorArrayGatherV3, TensorArraySizeV3, TensorArrayWriteV3]
```
tensor_array = tf.TensorArray(dtype=tf.float32, size=1, dynamic_size=True)
tensor_array =
