Re: [I] [QDP] Add TensorFlow .pb support to unified encode() path [mahout]
guan404ming closed issue #880: [QDP] Add TensorFlow .pb support to unified encode() path URL: https://github.com/apache/mahout/issues/880 -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
Re: [I] [QDP] Add TensorFlow .pb support to unified encode() path [mahout]
ryankert01 commented on issue #880: URL: https://github.com/apache/mahout/issues/880#issuecomment-3771882956 Go for it! -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
Re: [I] [QDP] Add TensorFlow .pb support to unified encode() path [mahout]
shiavm006 commented on issue #880: URL: https://github.com/apache/mahout/issues/880#issuecomment-3771630993 @ryankert01 @guan404ming should i work on it ? -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
[I] [QDP] Add TensorFlow .pb support to unified encode() path [mahout]
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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