export llama failing with errors for runtime errors #2907

chauhang · 2024-04-07T00:06:36Z

Export llama is failing with errors for llama and stories models

Error for llama model: Could not import fairseq2 modules....RuntimeError: Trying to create tensor with negative dimension -1: [-1, 4096]
Error for stories model: Could not import fairseq2 modules....RuntimeError: mmap can only be used with files saved with torch.save(./stories/stories110M.pt, _use_new_zipfile_serialization=True), please torch.save your checkpoint with this option in order to use mmap.`

Steps to run for Llama model

Follow the steps from LLM manual
Download the meta versions of llama weights
Run export_llama script

python -m examples.models.llama2.export_llama --checkpoint $MODEL_PATH/consolidated.00.pth --params $MODEL_PATH/params.json -kv --use_sdpa_with_kv_cache -X -qmode 8da4w --group_size 128 -d fp32

Error details for llama2 model export

Could not import fairseq2 modules.
INFO:root:Loading model with checkpoint=/Users/gchauhan/dev/llama-fast/checkpoints/meta-llama/Llama-2-7b/consolidated.00.pth, params=/Users/gchauhan/dev/llama-fast/checkpoints/meta-llama/Llama-2-7b/params.json, use_kv_cache=True, weight_type=WeightType.LLAMA
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama.py", line 30, in <module>
    main()  # pragma: no cover
    ^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama.py", line 26, in main
    export_llama(modelname, args)
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama_lib.py", line 408, in export_llama
    return _export_llama(modelname, args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama_lib.py", line 529, in _export_llama
    builder_exported_to_edge = _prepare_for_llama_export(
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama_lib.py", line 486, in _prepare_for_llama_export
    load_llama_model(
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/builder.py", line 83, in load_llama_model
    model, example_inputs, _ = EagerModelFactory.create_model(
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/model_factory.py", line 44, in create_model
    model = model_class(**kwargs)
            ^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/model.py", line 139, in __init__
    self.model_ = Transformer(model_args)
                  ^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/miniconda3/envs/et/lib/python3.11/site-packages/executorch/examples/models/llama2/llama_transformer.py", line 418, in __init__
    self.tok_embeddings = nn.Embedding(params.vocab_size, params.dim)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/miniconda3/envs/et/lib/python3.11/site-packages/torch/nn/modules/sparse.py", line 143, in __init__
    self.weight = Parameter(torch.empty((num_embeddings, embedding_dim), **factory_kwargs),
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/miniconda3/envs/et/lib/python3.11/site-packages/torch/utils/_device.py", line 78, in __torch_function__
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Trying to create tensor with negative dimension -1: [-1, 4096]

Steps for Stories model

Download the model from the links specified
Run
python -m examples.models.llama2.export_llama -c ./stories/stories110M.pt -p ./stories/params.json

Error details for Stories model export

Could not import fairseq2 modules.
INFO:root:Loading model with checkpoint=./stories/stories110M.pt, params=./stories/params.json, use_kv_cache=False, weight_type=WeightType.LLAMA
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama.py", line 30, in <module>
    main()  # pragma: no cover
    ^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama.py", line 26, in main
    export_llama(modelname, args)
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama_lib.py", line 408, in export_llama
    return _export_llama(modelname, args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama_lib.py", line 529, in _export_llama
    builder_exported_to_edge = _prepare_for_llama_export(
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/export_llama_lib.py", line 486, in _prepare_for_llama_export
    load_llama_model(
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/builder.py", line 83, in load_llama_model
    model, example_inputs, _ = EagerModelFactory.create_model(
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/model_factory.py", line 44, in create_model
    model = model_class(**kwargs)
            ^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gchauhan/dev/executorch/examples/models/llama2/model.py", line 75, in __init__
    checkpoint = torch.load(checkpoint_path, map_location=device, mmap=True)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/miniconda3/envs/et/lib/python3.11/site-packages/torch/serialization.py", line 1032, in load
    raise RuntimeError("mmap can only be used with files saved with "
RuntimeError: mmap can only be used with files saved with `torch.save(./stories/stories110M.pt, _use_new_zipfile_serialization=True), please torch.save your checkpoint with this option in order to use mmap.

Environment

python -m torch.utils.collect_env
Collecting environment information...
PyTorch version: 2.4.0.dev20240324
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 14.4.1 (arm64)
GCC version: Could not collect
Clang version: 15.0.0 (clang-1500.3.9.4)
CMake version: version 3.29.0
Libc version: N/A

Python version: 3.11.8 (main, Feb 26 2024, 15:36:12) [Clang 14.0.6 ] (64-bit runtime)
Python platform: macOS-14.4.1-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Apple M1 Pro

Versions of relevant libraries:
[pip3] executorch==0.1.0
[pip3] numpy==1.26.4
[pip3] torch==2.4.0.dev20240324
[pip3] torchao==0.1
[pip3] torchaudio==2.2.0.dev20240324
[pip3] torchsr==1.0.4
[pip3] torchvision==0.19.0.dev20240324
[conda] executorch                0.1.0                    pypi_0    pypi
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] torch                     2.4.0.dev20240324          pypi_0    pypi
[conda] torchao                   0.1                      pypi_0    pypi
[conda] torchaudio                2.2.0.dev20240324          pypi_0    pypi
[conda] torchsr                   1.0.4                    pypi_0    pypi
[conda] torchvision               0.19.0.dev20240324          pypi_0    pypi

The text was updated successfully, but these errors were encountered:

iseeyuan · 2024-04-07T15:16:39Z

Thanks @chauhang for reporting this issue! Could you confirm the vocab_size in llama2 7B model's params.json?

chauhang · 2024-04-07T16:12:11Z

@iseeyuan For the meta-llama/Llama-2-7b model the params.json on HF is:

{"dim": 4096, "multiple_of": 256, "n_heads": 32, "n_layers": 32, "norm_eps": 1e-05, "vocab_size": -1}

Also checked for 13b/70b base models and the chat models all of them have vocab_size=-1 in their params.json

iseeyuan · 2024-04-07T16:41:04Z

@chauhang , It's a bug in our code. We should provide an option so that the export_llama works out of box, given a downloaded folder, either from llama official website, or from HuggingFace.

chauhang · 2024-04-07T17:37:15Z

Also tested for llama2-7b after updating vocab_size to 32000, getting error AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'

Full error logs here

chauhang · 2024-04-07T18:18:11Z

After removing spda param was able to proceed uptill running model on computer. On running the model get error The tokenizer vocab size 84545034 is larger than the model vocab size 32000. .... In function generate(), assert failed (num_prompt_tokens >= 1): Expected at least 1 prompt token

Full logs here

chauhang · 2024-04-07T21:37:26Z

Got the llama2-7b model working on macOS and Android.

Local model runtime on macOS: Model load time: 10.39s, Time to first generated token: 0.739s, Generated token rate: 0.3089 toks/sec
Android Samsung Galaxy S22 runtime: Model load time: 12.05s, Time to first generated token: 8.448s, Generated token rate: 0.0777 toks/sec

Updated list of issues:

LLama2 model

vocab_size in params.json from HF downloads is -1, need to manually change to 32000 to proceed forward, update script/readme steps
Export with SDPA failed with errors for AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
Update readme to add steps for generating tokenizer.bin for llama2 model
Optimize local model runtime on macOS (Model load time: 10.39s, Time to first generated token: 0.739s, Generated token rate: 0.3089 toks/sec)
Android Emulator -- pte file transfer hangs / creashes emulator for 4gb model file
Add steps for running on iOS

Stories Model

Fix error RuntimeError: mmap can only be used with files saved with torch.save(./stories/stories110M.pt, _use_new_zipfile_serialization=True)

iseeyuan · 2024-04-08T14:32:44Z

@chauhang , the second issue, Export with SDPA failed with [errors](https://gist.github.com/chauhang/ca75857c6a152df65b79302fefa1fe2c?permalink_comment_id=5015390#gistcomment-5015390) for AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache' should have been fixed in main branch over the weekend. Could you pull the updated version and give it another try?
The performance afterwards may also get affected by using sdpa_with_kv_cache.

kimishpatel · 2024-04-08T15:19:41Z

Also tested for llama2-7b after updating vocab_size to 32000, getting error AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'

Might be related to @larryliu0820's diff that got reverted recently

kimishpatel · 2024-04-08T15:21:00Z

updated

we should just cherry-pick that, right?

Summary: Fixing issues we've seen in pytorch#2907 and pytorch#2805 Differential Revision: D55893925

mergennachin · 2024-04-08T22:04:51Z

Thanks @chauhang

Some fixes

#2926

Summary: Pull Request resolved: #2926 Fixing issues we've seen in #2907 and #2805 bypass-github-export-checks bypass-github-pytorch-ci-checks bypass-github-executorch-ci-checks Reviewed By: iseeyuan, cccclai Differential Revision: D55893925 fbshipit-source-id: c6e0264d868cb487faf02f95ff1bd223cbcc97ac

Summary: Pull Request resolved: #2926 Fixing issues we've seen in #2907 and #2805 bypass-github-export-checks bypass-github-pytorch-ci-checks bypass-github-executorch-ci-checks Reviewed By: iseeyuan, cccclai Differential Revision: D55893925 fbshipit-source-id: c6e0264d868cb487faf02f95ff1bd223cbcc97ac (cherry picked from commit 6db9d72)

mergennachin · 2024-05-13T22:53:25Z

Things are fixed now.

chauhang changed the title ~~export llama failing with errors for runtime error creating tensor with -ve dimension~~ export llama failing with errors for runtime errors Apr 7, 2024

iseeyuan added bug good first issue Good for newcomers labels Apr 7, 2024

iseeyuan added the high priority label Apr 7, 2024

pytorch-bot bot added the triage review Items require an triage review label Apr 7, 2024

mergennachin mentioned this issue Apr 8, 2024

Fixing minor issues in llama2 7b repro #2926

Closed

mergennachin added a commit to mergennachin/executorch-1 that referenced this issue Apr 8, 2024

Fixing minor issues in llama2 7b repro

67816df

Summary: Fixing issues we've seen in pytorch#2907 and pytorch#2805 Differential Revision: D55893925

mergennachin added a commit to mergennachin/executorch-1 that referenced this issue Apr 8, 2024

Fixing minor issues in llama2 7b repro (pytorch#2926)

3c18b91

Summary: Fixing issues we've seen in pytorch#2907 and pytorch#2805 Differential Revision: D55893925

pytorchbot mentioned this issue Apr 9, 2024

Fixing minor issues in llama2 7b repro #2941

Merged

mergennachin closed this as completed May 13, 2024

rcontesti mentioned this issue Jun 5, 2024

Runtime error with mmap #3850

Closed

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export llama failing with errors for runtime errors #2907

export llama failing with errors for runtime errors #2907

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export llama failing with errors for runtime errors #2907

export llama failing with errors for runtime errors #2907

Comments

chauhang commented Apr 7, 2024 • edited Loading

Steps to run for Llama model

Error details for llama2 model export

Steps for Stories model

Error details for Stories model export

Environment

iseeyuan commented Apr 7, 2024

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