Commit Graph

10 Commits

Author SHA1 Message Date
Robin Kobus
2ab71f9a80
refactor: decoder buffers (#3307)
* refactor: remove cumLogProbs and logProbs from DecoderBuffers

- Eliminated cumLogProbs and logProbs from DecoderBuffers, streamlining the buffer management.
- Updated related code in decoderBuffers.cpp and bindings.cpp to reflect these changes, ensuring that only host pointers are used for log probabilities.

These modifications enhance code clarity and maintainability by reducing redundancy in buffer management.

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* refactor: streamline sequence length handling in GptDecoderBatched and StatefulGptDecoderBatched

- Updated GptDecoderBatched to directly use output.sequenceLengths for lengths assignment, removing unnecessary reshaping.
- Adjusted StatefulGptDecoderBatched to ensure sequence lengths are correctly shaped based on actual batch size and max beam width.

These changes enhance clarity and maintainability in the decoding process.

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* refactor: integrate DecoderState for sequence length management in decoding process

- Updated DecoderBuffers to remove direct handling of sequence lengths, now utilizing DecoderState for this purpose.
- Adjusted MakeDecodingBatchInputOutput to accept DecoderState, enhancing clarity in the decoding input/output management.
- Refactored GptDecoderBatched and StatefulGptDecoderBatched to streamline sequence length handling, ensuring consistency across the decoding workflow.

refactor: update SlotDecoderBuffers to manage sequence lengths directly

- Introduced sequenceLengths and sequenceLengthsHost to SlotDecoderBuffers for better management of sequence lengths.
- Refactored asyncSend and recv methods to utilize the new sequenceLengths member, enhancing clarity and reducing redundancy.
- Updated TrtGptModelInflightBatching to align with the new structure, ensuring consistent handling of sequence lengths across the decoding process.

These changes improve maintainability and streamline the decoding workflow.

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* refactor: Delegate to asyncSend method in SlotDecoderBuffers

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

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Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-04-12 11:41:24 +02:00
Robin Kobus
d7386d14a8
refactor: Simplify disableLookahead and improve numDecodingEngineTokens handling (#3103)
* refactor: Simplifiy disableLookahead method

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* Update DecoderBuffers comments

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* refactor: Move numDecodingEngineTokens to DecoderState

This commit introduces new methods in the DecoderState class to manage the number of tokens for each request in a batch. The following changes were made:
- Added `getNumDecodingEngineTokens()` to retrieve the number of tokens for all requests.
- Added `getNumDecodingEngineTokens(SizeType32 batchIdx)` to get the token count for a specific request.
- Added `setNumDecodingEngineTokens(SizeType32 batchIdx, SizeType32 numTokens)` to set the token count for a specific request.
- Updated the setup method to initialize the token count vector based on the maximum batch size.
- Refactored the `CreateNewDecoderRequests` class to utilize the new token management methods, improving clarity and maintainability.

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* refactor: Improve shape variables in DecoderState

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

---------

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-04-01 18:47:31 +08:00
Kaiyu Xie
9b931c0f63
Update TensorRT-LLM (#2873) 2025-03-11 21:13:42 +08:00
Kaiyu Xie
77d7fe1eb2
Update TensorRT-LLM (#2849)
* Update TensorRT-LLM

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Co-authored-by: aotman <chenhangatm@gmail.com>
2025-03-04 18:44:00 +08:00
Kaiyu Xie
ab5b19e027
Update TensorRT-LLM (#2820) 2025-02-25 21:21:49 +08:00
Kaiyu Xie
2ea17cdad2
Update TensorRT-LLM (#2792)
* Update TensorRT-LLM

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Co-authored-by: jlee <jungmoolee@clika.io>
2025-02-18 21:27:39 +08:00
Kaiyu Xie
be17881062
Update TensorRT-LLM (#2582) 2024-12-16 21:50:47 -08:00
石晓伟
548b5b7310
Update TensorRT-LLM (#2532)
* blossom-ci.yml: run vulnerability scan on blossom

* open source efb18c1256f8c9c3d47b7d0c740b83e5d5ebe0ec

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Co-authored-by: niukuo <6831097+niukuo@users.noreply.github.com>
Co-authored-by: pei0033 <59505847+pei0033@users.noreply.github.com>
Co-authored-by: Kyungmin Lee <30465912+lkm2835@users.noreply.github.com>
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2024-12-04 21:16:56 +08:00
Kaiyu Xie
385626572d
Update TensorRT-LLM (#2502)
* Update TensorRT-LLM

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Co-authored-by: 岑灿 <yunyi.hyy@alibaba-inc.com>
2024-11-26 16:51:34 +08:00
Kaiyu Xie
b7868dd1bd
Update TensorRT-LLM (#2413) 2024-11-05 16:27:06 +08:00