Unable to run benchmark #170

CrossNox · 2023-04-24T22:40:19Z

I'm trying to run the txt2img benchmark, but can't get it to work.

I tried several combinations of versions for deepspeed (incl. from source), deepspeed-mii (incl. from source), torch==1.13.1 (also with 1.12.1 when using cuda 11.6), diffusers, transformers and triton.

Environment:

OS: Amazon Linux 2 w/kernel 5.10
GPU: Nvidia Tesla T4
python version: 3.9, compiled from source
nvidia driver: 510.108.03-grid
cuda version: 11.7

pip install -U deepspeed==0.7.5 deepspeed-mii==0.0.3 torch==1.13.1 diffusers==0.7.1 transformers==4.24.0 triton==2.0.0.dev20221030 ftfy, pip install -U git+https://github.com/microsoft/DeepSpeed.git@c9c6ab9e32b054136c3a125900d6e2ed937432be deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy, pip install -U deepspeed==0.8.0 deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy, pip install -U deepspeed==0.8.0 deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy, pip install -U deepspeed==0.7.7 deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.10.2 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy all fail with {created_time:"2023-04-24T15:34:23.563287825+00:00", grpc_status:2, grpc_message:"Exception calling application: Triton Error [CUDA]: invalid argument"}"

pip install -U deepspeed==0.9.1 deepspeed-mii==0.0.3 torch==1.13.1 diffusers==0.14.0 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy fails with ImportError: cannot import name 'CLIPTextModelWithProjection' from 'transformers' (/home/ec2-user/.local/lib/python3.9/site-packages/transformers/__init__.py)

pip install -U deepspeed==0.9.1 deepspeed-mii==0.0.3 torch==1.13.1 diffusers==0.14.0 transformers==4.26.0 triton==2.0.0.dev20221202 ftfy fails with AttributeError: 'StableDiffusionPipeline' object has no attribute 'children'

pip install -U deepspeed==0.7.5 deepspeed-mii==0.0.3 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy fails with {created_time:"2023-04-24T16:19:36.666852314+00:00", grpc_status:2, grpc_message:"Exception calling application: \'DSUNet\' object has no attribute \'config\'"}"

pip install -U git+https://github.com/microsoft/DeepSpeed.git@35eabb0a336e7a8e9950a550475ceaebda42066c deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy fails with {grpc_message:"Exception calling application: forward() got an unexpected keyword argument \'encoder_hidden_states\'", grpc_status:2, created_time:"2023-04-24T16:34:55.067998104+00:00"}". Same for pip install -U deepspeed==0.7.7 deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy

Where this issue seems relevant.

pip install -U deepspeed==0.7.6 deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy fails with {created_time:"2023-04-24T17:29:38.723537173+00:00", grpc_status:2, grpc_message:"Exception calling application: \'DSUNet\' object has no attribute \'config\'"}". Same for pip install -U deepspeed==0.7.6 deepspeed-mii==0.0.4 torch==1.13.1 diffusers==0.11.1 transformers==4.24.0 triton==2.0.0.dev20221202 ftfy

Where this other issue seems relevant.

Is there any set of versions that is well known to work?

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

mrwyattii · 2023-04-25T18:34:05Z

@CrossNox thank you for reporting this issue. It looks like a recent change in DeepSpeed was not accounted for in MII. Please try this PR: #172

I just tested with the following:

deepspeed          0.9.2
diffusers          0.14.0
torch              1.13.1
transformers       4.28.1

CrossNox · 2023-04-26T13:15:02Z

Hi @mrwyattii, thanks for the reply.
deepspeed 0.9.2 is not avaialable on pypi, nor is a tagged version on github. Did you install from source? At which commit?

Also, which triton version did you get it to work with?

For completeness:

packages installed

Details


$ pip show deepspeed diffusers torch transformers triton deepspeed-mii
Name: deepspeed
Version: 0.9.2+0e357666
Summary: DeepSpeed library
Home-page: http://deepspeed.ai
Author: DeepSpeed Team
Author-email: deepspeed-info@microsoft.com
License: MIT
Location: /home/ec2-user/venv39/lib/python3.9/site-packages
Requires: hjson, ninja, numpy, packaging, psutil, py-cpuinfo, pydantic, torch, tqdm
Required-by: deepspeed-mii
---
Name: diffusers
Version: 0.14.0
Summary: Diffusers
Home-page: https://github.com/huggingface/diffusers
Author: The HuggingFace team
Author-email: patrick@huggingface.co
License: Apache
Location: /home/ec2-user/venv39/lib/python3.9/site-packages
Requires: filelock, huggingface-hub, importlib-metadata, numpy, Pillow, regex, requests
Required-by: 
---
Name: torch
Version: 1.13.1
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: packages@pytorch.org
License: BSD-3
Location: /home/ec2-user/venv39/lib/python3.9/site-packages
Requires: nvidia-cublas-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-runtime-cu11, nvidia-cudnn-cu11, typing-extensions
Required-by: deepspeed, deepspeed-mii, triton
---
Name: transformers
Version: 4.28.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: transformers@huggingface.co
License: Apache 2.0 License
Location: /home/ec2-user/venv39/lib/python3.9/site-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, tokenizers, tqdm
Required-by: deepspeed-mii
---
Name: triton
Version: 2.0.0.dev20221202
Summary: A language and compiler for custom Deep Learning operations
Home-page: https://github.com/openai/triton/
Author: Philippe Tillet
Author-email: phil@openai.com
License: 
Location: /home/ec2-user/venv39/lib/python3.9/site-packages
Requires: cmake, filelock, torch
Required-by: 
---
Name: deepspeed-mii
Version: 0.0.5+835a2a9
Summary: deepspeed mii
Home-page: http://deepspeed.ai
Author: DeepSpeed Team
Author-email: deepspeed-mii@microsoft.com
License: UNKNOWN
Location: /home/ec2-user/venv39/lib/python3.9/site-packages
Requires: asyncio, deepspeed, Flask-RESTful, grpcio, grpcio-tools, pydantic, torch, transformers, Werkzeug
Required-by:

output of `ds_report`

Details


$ ds_report
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
      runtime if needed. Op compatibility means that your system
      meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
async_io ............... [NO] ....... [OKAY]
cpu_adagrad ............ [NO] ....... [OKAY]
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
fused_lamb ............. [NO] ....... [OKAY]
quantizer .............. [NO] ....... [OKAY]
random_ltd ............. [NO] ....... [OKAY]
 [WARNING]  using untested triton version (2.0.0), only 1.0.0 is known to be compatible
sparse_attn ............ [NO] ....... [NO]
spatial_inference ...... [NO] ....... [OKAY]
transformer ............ [NO] ....... [OKAY]
stochastic_transformer . [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
utils .................. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/home/ec2-user/venv39/lib/python3.9/site-packages/torch']
torch version .................... 1.13.1+cu117
deepspeed install path ........... ['/home/ec2-user/venv39/lib/python3.9/site-packages/deepspeed']
deepspeed info ................... 0.9.2+0e357666, 0e357666, master
torch cuda version ............... 11.7
torch hip version ................ None
nvcc version ..................... 11.7
deepspeed wheel compiled w. ...... torch 0.0, cuda 0.0

python

$ python --version
Python 3.9.16

error

Details


Traceback (most recent call last):
  File "/home/ec2-user/DeepSpeed-MII/examples/benchmark/txt2img/mii-sd.py", line 27, in <module>
    results = pipe.query(prompts)
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/mii/client.py", line 125, in query
    response = self.asyncio_loop.run_until_complete(
  File "/usr/local/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete
    return future.result()
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/mii/client.py", line 109, in _query_in_tensor_parallel
    await responses[0]
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/mii/client.py", line 72, in _request_async_response
    proto_response = await getattr(self.stub, conversions["method"])(proto_request)
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/grpc/aio/_call.py", line 290, in __await__
    raise _create_rpc_error(self._cython_call._initial_metadata,
grpc.aio._call.AioRpcError: <AioRpcError of RPC that terminated with:
	status = StatusCode.UNKNOWN
	details = "Exception calling application: Triton Error [CUDA]: invalid argument"
	debug_error_string = "UNKNOWN:Error received from peer  {created_time:"2023-04-26T14:01:16.677843111+00:00", grpc_status:2, grpc_message:"Exception calling application: Triton Error [CUDA]: invalid argument"}"
>

Error with `triton==2.0.0.post1`

Details

Traceback (most recent call last):
  File "/home/ec2-user/DeepSpeed-MII/examples/benchmark/txt2img/mii-sd.py", line 27, in <module>
    results = pipe.query(prompts)
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/mii/client.py", line 125, in query
    response = self.asyncio_loop.run_until_complete(
  File "/usr/local/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete
    return future.result()
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/mii/client.py", line 109, in _query_in_tensor_parallel
    await responses[0]
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/mii/client.py", line 72, in _request_async_response
    proto_response = await getattr(self.stub, conversions["method"])(proto_request)
  File "/home/ec2-user/venv39/lib/python3.9/site-packages/grpc/aio/_call.py", line 290, in __await__
    raise _create_rpc_error(self._cython_call._initial_metadata,
grpc.aio._call.AioRpcError: <AioRpcError of RPC that terminated with:
	status = StatusCode.UNKNOWN
	details = "Exception calling application: at 58:24:
def _fwd_kernel(
    Q,
    K,
    V,
    sm_scale,
    TMP,
    Out,
    stride_qz,
    stride_qh,
    stride_qm,
    stride_qk,
    stride_kz,
    stride_kh,
    stride_kn,
    stride_kk,
    stride_vz,
    stride_vh,
    stride_vk,
    stride_vn,
    stride_oz,
    stride_oh,
    stride_om,
    stride_on,
    Z,
    H,
    N_CTX,
    BLOCK_M: tl.constexpr,
    BLOCK_DMODEL: tl.constexpr,
    BLOCK_N: tl.constexpr,
):
    start_m = tl.program_id(0)
    off_hz = tl.program_id(1)
    # initialize offsets
    offs_m = start_m * BLOCK_M + tl.arange(0, BLOCK_M)
    offs_n = tl.arange(0, BLOCK_N)
    offs_d = tl.arange(0, BLOCK_DMODEL)
    off_q = off_hz * stride_qh + offs_m[:, None] * stride_qm + offs_d[None, :] * stride_qk
    off_k = off_hz * stride_kh + offs_n[:, None] * stride_kn + offs_d[None, :] * stride_kk
    off_v = off_hz * stride_vh + offs_n[:, None] * stride_qm + offs_d[None, :] * stride_qk
    # Initialize pointers to Q, K, V
    q_ptrs = Q + off_q
    k_ptrs = K + off_k
    v_ptrs = V + off_v
    # initialize pointer to m and l
    t_ptrs = TMP + off_hz * N_CTX + offs_m
    m_i = tl.zeros([BLOCK_M], dtype=tl.float32) - float("inf")
    l_i = tl.zeros([BLOCK_M], dtype=tl.float32)
    acc = tl.zeros([BLOCK_M, BLOCK_DMODEL], dtype=tl.float32)
    # load q: it will stay in SRAM throughout
    q = tl.load(q_ptrs)
    # loop over k, v and update accumulator
    for start_n in range(0, N_CTX, BLOCK_N):
        start_n = tl.multiple_of(start_n, BLOCK_N)
        # -- compute qk ----
        k = tl.load(k_ptrs + start_n * stride_kn)

        qk = tl.zeros([BLOCK_M, BLOCK_N], dtype=tl.float32)
        qk += tl.dot(q, k, trans_b=True)
                        ^"
	debug_error_string = "UNKNOWN:Error received from peer  {grpc_message:"Exception calling application: at 58:24:\ndef _fwd_kernel(\n    Q,\n    K,\n    V,\n    sm_scale,\n    TMP,\n    Out,\n    stride_qz,\n    stride_qh,\n    stride_qm,\n    stride_qk,\n    stride_kz,\n    stride_kh,\n    stride_kn,\n    stride_kk,\n    stride_vz,\n    stride_vh,\n    stride_vk,\n    stride_vn,\n    stride_oz,\n    stride_oh,\n    stride_om,\n    stride_on,\n    Z,\n    H,\n    N_CTX,\n    BLOCK_M: tl.constexpr,\n    BLOCK_DMODEL: tl.constexpr,\n    BLOCK_N: tl.constexpr,\n):\n    start_m = tl.program_id(0)\n    off_hz = tl.program_id(1)\n    # initialize offsets\n    offs_m = start_m * BLOCK_M + tl.arange(0, BLOCK_M)\n    offs_n = tl.arange(0, BLOCK_N)\n    offs_d = tl.arange(0, BLOCK_DMODEL)\n    off_q = off_hz * stride_qh + offs_m[:, None] * stride_qm + offs_d[None, :] * stride_qk\n    off_k = off_hz * stride_kh + offs_n[:, None] * stride_kn + offs_d[None, :] * stride_kk\n    off_v = off_hz * stride_vh + offs_n[:, None] * stride_qm + offs_d[None, :] * stride_qk\n    # Initialize pointers to Q, K, V\n    q_ptrs = Q + off_q\n    k_ptrs = K + off_k\n    v_ptrs = V + off_v\n    # initialize pointer to m and l\n    t_ptrs = TMP + off_hz * N_CTX + offs_m\n    m_i = tl.zeros([BLOCK_M], dtype=tl.float32) - float(\"inf\")\n    l_i = tl.zeros([BLOCK_M], dtype=tl.float32)\n    acc = tl.zeros([BLOCK_M, BLOCK_DMODEL], dtype=tl.float32)\n    # load q: it will stay in SRAM throughout\n    q = tl.load(q_ptrs)\n    # loop over k, v and update accumulator\n    for start_n in range(0, N_CTX, BLOCK_N):\n        start_n = tl.multiple_of(start_n, BLOCK_N)\n        # -- compute qk ----\n        k = tl.load(k_ptrs + start_n * stride_kn)\n\n        qk = tl.zeros([BLOCK_M, BLOCK_N], dtype=tl.float32)\n        qk += tl.dot(q, k, trans_b=True)\n                        ^", grpc_status:2, created_time:"2023-04-26T14:05:06.751619613+00:00"}"
>

CrossNox · 2023-04-27T19:42:21Z

Hi, I'm closing this. I kinda "solved" it by changing the GPU. I was using a T4, but with an A10G it mostly works. I think the issue is that some kernels are not compatible with architectures older than Ampere.

mrwyattii · 2023-04-27T20:38:25Z

@CrossNox you will need to use an older dev release of triton (we haven't finished updating DeepSpeed to use the latest Triton 2.0.0 release): https://pypi.org/project/triton/2.0.0.dev20221202/

And yes I installed from source. You can just do pip install git+https://github.com/microsoft/deepspeed

CrossNox · 2023-04-27T21:39:46Z

@mrwyattii yes, I tried that as well. But there was no case until I figured out that the issue was the GPU.

CrossNox closed this as completed Apr 27, 2023

CrossNox mentioned this issue Apr 27, 2023

[BUG] Triton Error [CUDA]: invalid argument microsoft/DeepSpeed#3382

Closed

hanlint mentioned this issue May 18, 2023

an error while training mosaicml/llm-foundry#159

Closed

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Unable to run benchmark #170

Unable to run benchmark #170

CrossNox commented Apr 24, 2023

mrwyattii commented Apr 25, 2023 •

edited

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CrossNox commented Apr 26, 2023 •

edited

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CrossNox commented Apr 27, 2023

mrwyattii commented Apr 27, 2023

CrossNox commented Apr 27, 2023

Unable to run benchmark #170

Unable to run benchmark #170

Comments

CrossNox commented Apr 24, 2023

mrwyattii commented Apr 25, 2023 • edited Loading

CrossNox commented Apr 26, 2023 • edited Loading

packages installed

output of ds_report

python

error

Error with triton==2.0.0.post1

CrossNox commented Apr 27, 2023

mrwyattii commented Apr 27, 2023

CrossNox commented Apr 27, 2023

mrwyattii commented Apr 25, 2023 •

edited

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CrossNox commented Apr 26, 2023 •

edited

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output of `ds_report`

Error with `triton==2.0.0.post1`