Azure Machine Learning
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2,563 questions
Can't run training in multi-gpu setting
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Daniel Otero Gómez
0
Reputation points
I am new to multi-gpu training. My code ran perfectly on my Laptop's GPU (single RTX 3060) and it runs out of memory using four GPUs. I think it may be due to a misconfiguration of my GPUs or misuse of DDP strategy in Lightning. I hope someone can help me debug the log messages NCCL is leaving. Since they are very long, I'll paste here just the logs that come from the main rank of the process. I have experienced different errors that I think are related to memory. These are the ones I can track back:
OSError: [Errno 28] No space left on device
RuntimeError: cuDNN error: CUDNN_STATUS_ALLOC_FAILED
torch.cuda.OutOfMemoryError: CUDA out of memory.
RuntimeError: DataLoader worker (pid 4748) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
The only time it gave a different error is when I manually set NCCL_IB_DISABLE=0. It gave me:
File "/mnt/azureml/cr/j/e01ca930a056451cad891d256ce58f06/exe/wd/models/ssl/monitor_metrics.py", line 44, in rankme
S = torch.linalg.svdvals(Z) # pylint: disable=invalid-name, not-callable
RuntimeError: cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling `cusolverDnCreate(handle)`. If you keep seeing this error, you may use `torch.backends.cuda.preferred_linalg_library()` to try linear algebra operators with other supported backends.
I was told that this may be resolved by modifying the shared memory limits of the docker container, but I do not know how to do this since Azure initializes the container under the hood. They redirected me to the following [troubleshooting page]. Does anyone know how I can manipulate the shared memory manually?
As some additional info:
I am running a job a cluster with four Teslta T4 GPUs. Specifically, this cluster Standard_NC64as_T4_v3.
I have been using Azure Containers for Pytorch and installing additional dependencies as they recommend. Below I pasted the Dockerfiles I have been using to build my environments. I commented the second base image to avoid posting two different Dockerfiles with the same content.
FROM mcr.microsoft.com/azureml/curated/acpt-pytorch-2.0-cuda11.7
# FROM mcr.microsoft.com/azureml/curated/acpt-pytorch-2.1-cuda12.1
RUN pip install timm
RUN pip install scikit-learn
RUN pip install mlflow
I checked and the env using cuda 12.1 is using NCCL version 12.18.3 and the one using cuda 11.7 is using 12.17.1.
Also, I am specifying a distribution when launching the job using the command function. I understand that this will tell the system to use the four GPUs. Nonetheless, I experienced the same issue whenever I didn't specify the distribution in the command.
# Create or update the component
print("Creating job...")
print(job_command)
command_job = command(
experiment_name="testing-ssl-byol",
description=description,
code=str(code_dir),
environment=enviornment,
inputs=inputs,
outputs=outputs,
command=job_command,
compute="Testing-GPU-Cluster",
distribution=MpiDistribution(process_count_per_instance=4),
environment_variables={"NCCL_DEBUG": "DEBUG", "NCCL_IB_DISABLE": "0"},
tags={"project": "ssl-research", "job-purpose": "testing"}
)
job = ml_client.jobs.create_or_update(command_job)
print(f"Job created with ID: {job.id}")
Here are the log messages:
[2024-03-05 15:37:45,277] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:118: UserWarning: onnxruntime training package info: package_name: onnxruntime-training
warnings.warn("onnxruntime training package info: package_name: %s" % package_name)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:119: UserWarning: onnxruntime training package info: __version__: 1.17.0
warnings.warn("onnxruntime training package info: __version__: %s" % version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:120: UserWarning: onnxruntime training package info: cuda_version: 12.2
warnings.warn("onnxruntime training package info: cuda_version: %s" % cuda_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:121: UserWarning: onnxruntime build info: cudart_version: 12020
warnings.warn("onnxruntime build info: cudart_version: %s" % cudart_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:129: UserWarning: WARNING: failed to find cudart version that matches onnxruntime build info
warnings.warn("WARNING: failed to find cudart version that matches onnxruntime build info")
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:130: UserWarning: WARNING: found cudart versions: [12010]
warnings.warn("WARNING: found cudart versions: %s" % local_cudart_versions)
Global seed set to 42
Using 16bit None Automatic Mixed Precision (AMP)
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
[rank: 0] Global seed set to 42
Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/4
[2024-03-05 15:37:54,375] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-03-05 15:37:54,398] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-03-05 15:37:54,398] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:118: UserWarning: onnxruntime training package info: package_name: onnxruntime-training
warnings.warn("onnxruntime training package info: package_name: %s" % package_name)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:119: UserWarning: onnxruntime training package info: __version__: 1.17.0
warnings.warn("onnxruntime training package info: __version__: %s" % version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:120: UserWarning: onnxruntime training package info: cuda_version: 12.2
warnings.warn("onnxruntime training package info: cuda_version: %s" % cuda_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:121: UserWarning: onnxruntime build info: cudart_version: 12020
warnings.warn("onnxruntime build info: cudart_version: %s" % cudart_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:129: UserWarning: WARNING: failed to find cudart version that matches onnxruntime build info
warnings.warn("WARNING: failed to find cudart version that matches onnxruntime build info")
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:130: UserWarning: WARNING: found cudart versions: [12010]
warnings.warn("WARNING: found cudart versions: %s" % local_cudart_versions)
[rank: 3] Global seed set to 42
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:118: UserWarning: onnxruntime training package info: package_name: onnxruntime-training
warnings.warn("onnxruntime training package info: package_name: %s" % package_name)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:119: UserWarning: onnxruntime training package info: __version__: 1.17.0
warnings.warn("onnxruntime training package info: __version__: %s" % version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:120: UserWarning: onnxruntime training package info: cuda_version: 12.2
warnings.warn("onnxruntime training package info: cuda_version: %s" % cuda_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:121: UserWarning: onnxruntime build info: cudart_version: 12020
warnings.warn("onnxruntime build info: cudart_version: %s" % cudart_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:129: UserWarning: WARNING: failed to find cudart version that matches onnxruntime build info
warnings.warn("WARNING: failed to find cudart version that matches onnxruntime build info")
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:130: UserWarning: WARNING: found cudart versions: [12010]
warnings.warn("WARNING: found cudart versions: %s" % local_cudart_versions)
[rank: 1] Global seed set to 42
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:118: UserWarning: onnxruntime training package info: package_name: onnxruntime-training
warnings.warn("onnxruntime training package info: package_name: %s" % package_name)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:119: UserWarning: onnxruntime training package info: __version__: 1.17.0
warnings.warn("onnxruntime training package info: __version__: %s" % version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:120: UserWarning: onnxruntime training package info: cuda_version: 12.2
warnings.warn("onnxruntime training package info: cuda_version: %s" % cuda_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:121: UserWarning: onnxruntime build info: cudart_version: 12020
warnings.warn("onnxruntime build info: cudart_version: %s" % cudart_version)
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:129: UserWarning: WARNING: failed to find cudart version that matches onnxruntime build info
warnings.warn("WARNING: failed to find cudart version that matches onnxruntime build info")
/opt/conda/envs/ptca/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_validation.py:130: UserWarning: WARNING: found cudart versions: [12010]
warnings.warn("WARNING: found cudart versions: %s" % local_cudart_versions)
[rank: 2] Global seed set to 42
[rank: 2] Global seed set to 42
Initializing distributed: GLOBAL_RANK: 2, MEMBER: 3/4
[rank: 3] Global seed set to 42
Initializing distributed: GLOBAL_RANK: 3, MEMBER: 4/4
[rank: 1] Global seed set to 42
Initializing distributed: GLOBAL_RANK: 1, MEMBER: 2/4
----------------------------------------------------------------------------------------------------
distributed_backend=nccl
All distributed processes registered. Starting with 4 processes
----------------------------------------------------------------------------------------------------
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:349 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to eth0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:349 [0] NCCL INFO Bootstrap : Using eth0:10.0.0.5<0>
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:349 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v6 symbol.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:349 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin symbol (v4 or v5).
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:349 [0] NCCL INFO cudaDriverVersion 12010
NCCL version 2.18.3+cuda12.1
e2bd2729de1e4961bccb1c0d631e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Plugin Path : /opt/nccl-rdma-sharp-plugins/lib/libnccl-net.so
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P plugin IBext
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to eth0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO NET/IB : No device found.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO NCCL_IB_DISABLE set by environment to 1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to eth0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO NET/Socket : Using [0]eth0:10.0.0.5<0>
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Using network Socket
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO comm 0x9ffe0160 rank 0 nranks 4 cudaDev 0 nvmlDev 0 busId 100000 commId 0x1e29799c32293b9b - Init START
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 1 and 0. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 1 and 0. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 1(=200000) and dev 0(=100000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 0(=100000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 3(=400000) and dev 0(=100000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 3(=400000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 3 and 2. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 2(=300000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 1(=200000) and dev 2(=300000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 3 and 2. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 3(=400000) and dev 2(=300000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 2 and 3. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 1(=200000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 2 and 3. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 1 and 0. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between co1f3a4000001:902:2618 [1] NCCL INFO P2P is disabled between connected GPUs 2 and 3. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:9nnected GPUs 1 and 0. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 1(=200000) and dev 0(=100000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 0(=100000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 3(=400000) and dev 0(=100000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 3(=400000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 3 and 2. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 2(=300000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 1(=200000) and dev 2(=300000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 3 and 2. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 3(=400000) and dev 2(=300000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 2 and 3. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 1(=200000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 2 and 3. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Setting affinity for GPU 0 to ffff0000
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO NVLS multicast support is not available on dev 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Channel 00/02 : 0 1 2 3
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Channel 01/02 : 0 1 2 3
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Trees [0] 1/-1/-1->0->-1 [1] 1/-1/-1->0->-1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P Chunksize set to 131072
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Rank 0 selecting transport for rank 3
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 0 canConnect 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 1 canConnect 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Rank 0 selecting transport for rank 3
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 3(=400000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 0 canConnect 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 1 canConnect 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Rank 0 selecting trans03:3893 [2] NCCL INFO Could not enable P2P between dev 2(=300000) and dev 1(=200000)
e2bd2729de1e4961bccb1LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
LOCAL_RANK: 2 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
LOCAL_RANK: 1 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
LOCAL_RANK: 3 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
| Name | Type | Params
--------------------------------------------------------------
0 | criterion | BCEWithLogitsLoss | 0
1 | backbone | ResNet | 11.2 M
2 | classifier | Linear | 513
3 | train_metrics | ModuleDict | 0
4 | val_metrics | ModuleDict | 0
5 | test_metrics | ModuleDict | 0
6 | knn_acc_metric | WeightedKNNClassifier | 0
7 | momentum_backbone | ResNet | 11.2 M
8 | projector | Sequential | 1.6 M
9 | momentum_projector | Sequential | 1.6 M
10 | predictor | Sequential | 1.1 M
--------------------------------------------------------------
13.8 M Trainable params
12.8 M Non-trainable params
26.6 M Total params
53.134 Total estimated model params size (MB)
Number of CPU cores: 32
port for rank 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 0 canConnect 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 1 canConnect 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Channel 00 : 0[0] -> 1[1] via SHM/direct/direct
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Rank 0 selecting transport for rank 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 0 canConnect 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 1 canConnect 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Channel 01 : 0[0] -> 1[1] via SHM/direct/direct
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Connected all rings
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Rank 0 selecting transport for rank 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 0 canConnect 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 1 canConnect 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Rank 0 selecting transport for rank 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO P2P is disabled between connected GPUs 0 and 1. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Could not enable P2P between dev 0(=100000) and dev 1(=200000)
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 0 canConnect 0
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Transport 1 canConnect 1
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Connected all trees
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO threadThresholds 8/8/64 | 32/8/64 | 512 | 512
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO 2 coll channels, 0 nvls channels, 2 p2p channels, 2 p2p channels per peer
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO MSCCL: No external scheduler found, using internal implementation
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO MSCCL: Internal Scheduler will use /usr/lib/x86_64-linux-gnu/msccl-algorithms as algorithm directory and /usr/lib/x86_64-linux-gnu/../share/nccl/msccl-algorithms as share algorithm directory and /usr/share/nccl/msccl-algorithms as package installed share algorithm directory
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO Using MSCCL Algo files from /usr/share/nccl/msccl-algorithms
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO MSCCL: Initialization finished
e2bd2729de1e4961bccb1c0d6311f3a4000001:349:2588 [0] NCCL INFO comm 0x9ffe0160 rank 0 nranks 4 cudaDev 0 nvmlDev 0 busId 100000 commId 0x1e29799c32293b9b - Init COMPLETE
Sanity Checking: 0it [00:00, ?it/s]
Sanity Checking: 0%| | 0/2 [00:00
raise e # Re-raise the exception to handle it normally or to stop the program.
#####################################################################################################
Different errors are happening here in the middle
#####################################################################################################
e2bd2729de1e4961bccb1c0d6311f3a4000001:904:3903 [3] NCCL INFO [Service thread] Connection closed by localRank 3
e2bd2729de1e4961bccb1c0d6311f3a4000001:902:3902 [1] NCCL INFO [Service thread] Connection closed by localRank 1
Epoch 0: 0%| | 0/4 [00:06
{count} votes
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romungi-MSFT 42,191 Reputation points Microsoft Employee2024-03-07T06:35:48.69+00:00 @Daniel Otero Gómez I'm not familiar with GPU training scenarios but as per the available documentation for GPU training with Pytorch here is some guidance along with supported VM types if you have not checked already.
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