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Fix graph breaks in torch compile mode#52

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scsudhak-intel wants to merge 18 commits into
habana-mainfrom
fix-graph-breaks
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Fix graph breaks in torch compile mode#52
scsudhak-intel wants to merge 18 commits into
habana-mainfrom
fix-graph-breaks

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Training script uses dynamic control flow based on the success of a module import, which caused a graph break.

This patch handles the control flow through boolean flags which avoids graph breaks.

Vivek Goel and others added 16 commits February 7, 2024 21:56
* Expose Llama Fused OPs control from run_lora_clm.py

* Update as per review comments
* enable internal kv bucket in llama

* initialize bucket_internal for CI

* make bucket_internal more clear

* further perf optim while max length is not multiple of bucket size
* [SW-173358] add first token prints

* [SW-173358] rename x to outputs

* [SW-173358] make style
* Enable Flash Attention in recompute and causal modes

* Add flash_attention_causal_mask to generation utils

* Propagate Flash Attention causal_mask to finetuning example

* Modify README example and provide additional description

* Add flash_attention_causal_mask to FT README
* enable loading falcon-180b ckpt in .safetensors format

* Address comments borrowing transformer's way of reading ckpt file

* address comments
mark_step() should not be called for eager mode

Signed-off-by: Manoj Kumar <mkumar@habana.ai>
Co-authored-by: Sun Choi <schoi@habana.ai>
* enable loading falcon-180b ckpt in .safetensors format

* Address comments borrowing transformer's way of reading ckpt file

* address comments

* Update ckpt loading

PR#15 reads a set of ckpt file names from the index json file.
When OH downloads files from the hub instead of loading from a cache dir, get_repo_root()
skips downloading the index json file. Thus the PR#15 fails to load file names.
This PR scans the path and returns a list of names that matches the pattern

* import modeling_utils from transformers
Co-authored-by: Sayantan Sarkar <supersarkar@gmail.com>
* Further fixes for performance with internal bucketing.

Also add clear cache() to save memory.
make style changes also added.

Signed-off-by: Puneesh Khanna <pkhanna@habana.ai>

* Calculate kv cache sliding idx for the decode phase only.

Signed-off-by: Puneesh Khanna <pkhanna@habana.ai>

* Add hpu graphs check for clear cache.

Signed-off-by: Puneesh Khanna <pkhanna@habana.ai>

---------

Signed-off-by: Puneesh Khanna <pkhanna@habana.ai>
* Adding a flag whether to save checkpoint or not

* Add the flag to a model run script
* [SW-174850] Fix for Nonetype in image

* Using media external reader API

* minor fixes

* output info fix

* Update media reader function name

* make style
Signed-off-by: Sanju C Sudhakaran <scsudhakaran@habana.ai>
Signed-off-by: Sanju C Sudhakaran <scsudhakaran@habana.ai>
Signed-off-by: Sanju C Sudhakaran <scsudhakaran@habana.ai>
@scsudhak-intel scsudhak-intel deleted the fix-graph-breaks branch February 22, 2024 14:45
astachowiczhabana pushed a commit that referenced this pull request Jan 23, 2025
* Initial commit => add overrides to support bnb on HPU

* Change quantizer file name

* Added HPU specific checks and updates  (#52)

* supports hpu  nf4 quant/dequant

* added tranformer/quantizers to bitsandbytes

* Deleted transformer/quantizers

* Fix BnB inference (#60)

* update inference test (#63)

* Added 4-bit training script (#69)

* adapted test files with framework

* Adjusted test files format

---------

Co-authored-by: Vivek <vgoel@habana.ai>
xinyu-intel pushed a commit that referenced this pull request Mar 4, 2025
* Initial commit => add overrides to support bnb on HPU

* Change quantizer file name

* Added HPU specific checks and updates  (#52)

* supports hpu  nf4 quant/dequant

* added tranformer/quantizers to bitsandbytes

* Deleted transformer/quantizers

* Fix BnB inference (#60)

* update inference test (#63)

* Added 4-bit training script (#69)

* adapted test files with framework

* Adjusted test files format

---------

Co-authored-by: Vivek <vgoel@habana.ai>
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10 participants