Named Symbol not found (torchchat #1298)

[mikekgfb]

Quantized model gets a CUDA error "Named symbol not found".
see pytorch/torchchat#1298

[mikekgfb]

Cuda version:
NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2

This ran on Google colab. Detailed trace-back/repro: https://colab.research.google.com/drive/1PRneJBaS5TlJaIgc4Lwv2muiePp6T9Ss?usp=sharing

$nvidia-smi
Thu Oct 17 19:52:30 2024       
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.104.05             Driver Version: 535.104.05   CUDA Version: 12.2     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  Tesla T4                       Off | 00000000:00:04.0 Off |                    0 |
| N/A   39C    P8               9W /  70W |      0MiB / 15360MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+
                                                                                         
+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|  No running processes found                                                           |
+---------------------------------------------------------------------------------------+

$ python torchchat.py generate stories110M --quant torchchat/quant_config/cuda.json --prompt "It was a dark and stormy night, and"
2024-10-17 19:52:38.809413: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-10-17 19:52:39.031641: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-10-17 19:52:39.096690: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-10-17 19:52:39.466437: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-10-17 19:52:41.795530: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Downloading builder script: 100% 5.67k/5.67k [00:00<00:00, 18.9MB/s]
Downloading https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt...
Downloading https://github.com/karpathy/llama2.c/raw/master/tokenizer.model...
Moving model to /root/.torchchat/model-cache/stories110M.
Using device=cuda Tesla T4
Loading model...
Time to load model: 0.40 seconds
Quantizing the model with: {'executor': {'accelerator': 'cuda'}, 'precision': {'dtype': 'bf16'}, 'linear:int4': {'groupsize': 256}}
Time to quantize model: 0.13 seconds
Traceback (most recent call last):
  File "/content/torchchat-1/torchchat.py", line 88, in <module>
    generate_main(args)
  File "/content/torchchat-1/torchchat/generate.py", line 1215, in main
    gen = Generator(
  File "/content/torchchat-1/torchchat/generate.py", line 290, in __init__
    self.model = _initialize_model(self.builder_args, self.quantize, self.tokenizer)
  File "/content/torchchat-1/torchchat/cli/builder.py", line 574, in _initialize_model
    quantize_model(
  File "/content/torchchat-1/torchchat/utils/quantize.py", line 114, in quantize_model
    quantize_(model, int4_weight_only(q_kwargs["groupsize"]))
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 462, in quantize_
    _replace_with_custom_fn_if_matches_filter(
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 202, in _replace_with_custom_fn_if_matches_filter
    new_child = _replace_with_custom_fn_if_matches_filter(
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 202, in _replace_with_custom_fn_if_matches_filter
    new_child = _replace_with_custom_fn_if_matches_filter(
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 202, in _replace_with_custom_fn_if_matches_filter
    new_child = _replace_with_custom_fn_if_matches_filter(
  [Previous line repeated 2 more times]
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 198, in _replace_with_custom_fn_if_matches_filter
    model = replacement_fn(model)
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 392, in insert_subclass
    lin.weight = torch.nn.Parameter(constructor(lin.weight, **kwargs), requires_grad=requires_grad)
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/quant_api.py", line 553, in apply_int4_weight_only_quant
    return to_affine_quantized_intx(weight, mapping_type, block_size, target_dtype, quant_min, quant_max, eps, zero_point_dtype=zero_point_dtype, preserve_zero=preserve_zero, zero_point_domain=zero_point_domain, layout_type=layout_type, use_hqq=use_hqq)
  File "/usr/local/lib/python3.10/dist-packages/torchao/dtypes/affine_quantized_tensor.py", line 286, in from_hp_to_intx
    layout_tensor = layout_tensor_ctr(data, scale, zero_point, layout_type)
  File "/usr/local/lib/python3.10/dist-packages/torchao/dtypes/affine_quantized_tensor.py", line 1033, in from_plain
    scale_and_zero = pack_tinygemm_scales_and_zeros(scale, zero_point)
  File "/usr/local/lib/python3.10/dist-packages/torchao/quantization/utils.py", line 322, in pack_tinygemm_scales_and_zeros
    torch.cat(
RuntimeError: CUDA error: named symbol not found
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

[gau-nernst]

I believe this is because tinygemm does not support sm75 i.e. T4

[msaroufim]

We could throw a better error message