shiavm006 opened a new issue, #880:
URL: https://github.com/apache/mahout/issues/880
`QdpEngine.encode()` auto-detects parquet/arrow/feather/npy/pt/pth, but
`.pb` (TensorFlow TensorProto) is only available via
`encode_from_tensorflow()`. Users passing a `.pb` path to `encode()` get
“Unsupported file format…”. Add `.pb` handling to the unified path for parity.
Current behavior
- `engine.encode("data.pb", num_qubits, "amplitude")` raises
unsupported-format error.
- Users must call `encode_from_tensorflow()` explicitly.
Expected behavior
- `encode()` recognizes `.pb` (TensorFlow TensorProto) and routes to the
TensorFlow reader.
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