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deepseek-ai
Test test_low_latency.py failed on H20 ROCE
Issue Description
run test_low_latency.py failed. test_intranode.py and 2 H20 node test_internode.py can run nomally.
Not familiar with nvshmem, thanks a lot for your help.
Actual Result
root@iv-ydpnyxaxa85i3z3gisyp:~/DeepEP/tests# python3 test_low_latency.py
Allocating buffer size: 2116.2912 MB ...
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7 ibgda_rc_init2rtr failed on RC #0.
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 WARN: Failed to initialize all selected devices. Perf may be limited.
Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
/root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7
connect EPS failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 /root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7
ibgda_rc_init2rtr failed on RC #0.Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
/root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7
nvshmem setup connections failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7
WARN: Failed to initialize all selected devices. Perf may be limited.
ibgda_rc_init2rtr failed on RC #0.
/root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7 connect EPS failed
WARN: Failed to initialize all selected devices. Perf may be limited.
/root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7 /root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7 nvshmem setup connections failed
connect EPS failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 /root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7 Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
nvshmem setup connections failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7 ibgda_rc_init2rtr failed on RC #0.
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
WARN: Failed to initialize all selected devices. Perf may be limited.
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7 /root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7 ibgda_rc_init2rtr failed on RC #0.connect EPS failed
/root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7 nvshmem setup connections failed
WARN: Failed to initialize all selected devices. Perf may be limited.
/root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7 connect EPS failed
/root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7 nvshmem setup connections failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7 ibgda_rc_init2rtr failed on RC #37.
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 WARN: Failed to initialize all selected devices. Perf may be limited.
Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
/root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7
connect EPS failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7
ibgda_rc_init2rtr failed on RC #1./root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7
nvshmem setup connections failed
WARN: Failed to initialize all selected devices. Perf may be limited.
/root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7 connect EPS failed
/root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7 nvshmem setup connections failed
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:1345: non-zero status: 121 Error in mlx5dv_devx_obj_modify for INIT2RTR_QP with syndrome 29e0df
/root/nvshmem_src/src/modules/transport/ibgda/ibgda.cpp:3005: non-zero status: 7 ibgda_rc_init2rtr failed on RC #1.
WARN: Failed to initialize all selected devices. Perf may be limited.
/root/nvshmem_src/src/host/transport/transport.cpp:400: non-zero status: 7 connect EPS failed
/root/nvshmem_src/src/host/init/init.cu:1001: non-zero status: 7 nvshmem setup connections failed
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
[/root/nvshmem_src/src/host/init/init.cu:536] cuda failed with an illegal memory access was encountered
W0225 23:03:30.060000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246446 via signal SIGTERM
W0225 23:03:30.060000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246447 via signal SIGTERM
W0225 23:03:30.060000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246448 via signal SIGTERM
W0225 23:03:30.061000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246450 via signal SIGTERM
W0225 23:03:30.061000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246451 via signal SIGTERM
W0225 23:03:30.061000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246452 via signal SIGTERM
W0225 23:03:30.061000 246380 torch/multiprocessing/spawn.py:169] Terminating process 246453 via signal SIGTERM
Traceback (most recent call last):
File "/root/DeepEP/tests/test_low_latency.py", line 160, in <module>
torch.multiprocessing.spawn(test_loop, args=(num_processes,), nprocs=num_processes)
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 340, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method="spawn")
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 296, in start_processes
while not context.join():
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 204, in join
raise ProcessExitedException(
torch.multiprocessing.spawn.ProcessExitedException: process 3 terminated with exit code 255
Environment
- Ubuntu2404
Linux 5.15.0-91-generic #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
- H20 * 8
- bf3 *4 mlx5_0 is a ocp/vpc nic.
Infiniband device 'mlx5_0' port 1 status:
default gid: fe80:0000:0000:0000:0216:3eff:fe43:ac58
base lid: 0x0
sm lid: 0x0
state: 4: ACTIVE
phys state: 5: LinkUp
rate: 200 Gb/sec (4X HDR)
link_layer: Ethernet
Infiniband device 'mlx5_1' port 1 status:
default gid: fe80:0000:0000:0000:5e25:73ff:febc:a460
base lid: 0x0
sm lid: 0x0
state: 4: ACTIVE
phys state: 5: LinkUp
rate: 400 Gb/sec (4X NDR)
link_layer: Ethernet
Infiniband device 'mlx5_2' port 1 status:
default gid: fe80:0000:0000:0000:5e25:73ff:fec1:0b24
base lid: 0x0
sm lid: 0x0
state: 4: ACTIVE
phys state: 5: LinkUp
rate: 400 Gb/sec (4X NDR)
link_layer: Ethernet
Infiniband device 'mlx5_3' port 1 status:
default gid: fe80:0000:0000:0000:5e25:73ff:feb9:d7da
base lid: 0x0
sm lid: 0x0
state: 4: ACTIVE
phys state: 5: LinkUp
rate: 400 Gb/sec (4X NDR)
link_layer: Ethernet
Infiniband device 'mlx5_4' port 1 status:
default gid: fe80:0000:0000:0000:5e25:73ff:fece:bef0
base lid: 0x0
sm lid: 0x0
state: 4: ACTIVE
phys state: 5: LinkUp
rate: 400 Gb/sec (4X NDR)
link_layer: Ethernet
- CUDA 12.3
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Sep__8_19:17:24_PDT_2023
Cuda compilation tools, release 12.3, V12.3.52
Build cuda_12.3.r12.3/compiler.33281558_0
- nvidia-smi
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.161.08 Driver Version: 535.161.08 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 NVIDIA H20 On | 00000000:65:02.0 Off | 0 |
| N/A 27C P0 74W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA H20 On | 00000000:65:03.0 Off | 0 |
| N/A 30C P0 72W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 2 NVIDIA H20 On | 00000000:67:02.0 Off | 0 |
| N/A 30C P0 71W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 3 NVIDIA H20 On | 00000000:67:03.0 Off | 0 |
| N/A 28C P0 74W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 4 NVIDIA H20 On | 00000000:69:02.0 Off | 0 |
| N/A 28C P0 70W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 5 NVIDIA H20 On | 00000000:69:03.0 Off | 0 |
| N/A 30C P0 73W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 6 NVIDIA H20 On | 00000000:6B:02.0 Off | 0 |
| N/A 30C P0 71W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
| 7 NVIDIA H20 On | 00000000:6B:03.0 Off | 0 |
| N/A 27C P0 72W / 500W | 0MiB / 97871MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 NIC4 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 SYS PIX NODE SYS SYS 90-179 1 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 SYS PIX NODE SYS SYS 90-179 1 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 SYS NODE PIX SYS SYS 90-179 1 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 SYS NODE PIX SYS SYS 90-179 1 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 SYS SYS SYS PIX NODE 0-89 0 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 SYS SYS SYS PIX NODE 0-89 0 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 SYS SYS SYS NODE PIX 0-89 0 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X SYS SYS SYS NODE PIX 0-89 0 N/A
NIC0 SYS SYS SYS SYS SYS SYS SYS SYS X SYS SYS SYS SYS
NIC1 PIX PIX NODE NODE SYS SYS SYS SYS SYS X NODE SYS SYS
NIC2 NODE NODE PIX PIX SYS SYS SYS SYS SYS NODE X SYS SYS
NIC3 SYS SYS SYS SYS PIX PIX NODE NODE SYS SYS SYS X NODE
NIC4 SYS SYS SYS SYS NODE NODE PIX PIX SYS SYS SYS NODE X
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
NIC Legend:
NIC0: mlx5_0
NIC1: mlx5_1
NIC2: mlx5_2
NIC3: mlx5_3
NIC4: mlx5_4
- nvshmem-info -a
NVSHMEM v3.1.7
Build Information:
CUDA API 12030
CUDA Driver 12020
Build Timestamp Feb 25 2025 22:10:09
Build Variables
NVSHMEM_DEBUG=OFF NVSHMEM_DEVEL=OFF NVSHMEM_DEFAULT_PMI2=OFF
NVSHMEM_DEFAULT_PMIX=OFF NVSHMEM_DEFAULT_UCX=OFF NVSHMEM_DISABLE_COLL_POLL=ON
NVSHMEM_ENABLE_ALL_DEVICE_INLINING=OFF NVSHMEM_GPU_COLL_USE_LDST=OFF
NVSHMEM_IBGDA_SUPPORT=ON NVSHMEM_IBGDA_SUPPORT_GPUMEM_ONLY=OFF
NVSHMEM_IBDEVX_SUPPORT=OFF NVSHMEM_IBRC_SUPPORT=ON
NVSHMEM_MPI_SUPPORT=ON NVSHMEM_NVTX=ON NVSHMEM_PMIX_SUPPORT=OFF
NVSHMEM_SHMEM_SUPPORT=OFF NVSHMEM_TEST_STATIC_LIB=OFF
NVSHMEM_TIMEOUT_DEVICE_POLLING=OFF NVSHMEM_TRACE=OFF NVSHMEM_UCX_SUPPORT=OFF
NVSHMEM_USE_DLMALLOC=OFF NVSHMEM_USE_NCCL=OFF NVSHMEM_USE_GDRCOPY=ON
NVSHMEM_VERBOSE=OFF CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/local/gdrdrv
LIBFABRIC_HOME=/usr/local/libfabric MPI_HOME=/usr/local/ompi
NCCL_HOME=/usr/local/nccl NVSHMEM_PREFIX=/usr/local/nvshmem PMIX_HOME=/usr
SHMEM_HOME=/usr/local/ompi UCX_HOME=/usr/local/ucx
Standard options:
NVSHMEM_VERSION false (type: bool, default: false)
Print library version at startup
NVSHMEM_INFO false (type: bool, default: false)
Print environment variable options at startup
NVSHMEM_DISABLE_NVLS false (type: bool, default: false)
Disable NVLS SHARP resources for collectives, even if available for platform
NVSHMEM_SYMMETRIC_SIZE 1073741824 (type: size, default: 1073741824)
Specifies the size (in bytes) of the symmetric heap memory per PE. The
size is implementation-defined and must be at least as large as the integer
ceiling of the product of the numeric prefix and the scaling factor. The
character suffixes for the scaling factor are as follows:
* k or K multiplies by 2^10 (kibibytes)
* m or M multiplies by 2^20 (mebibytes)
* g or G multiplies by 2^30 (gibibytes)
* t or T multiplies by 2^40 (tebibytes)
For example, string '20m' is equivalent to the integer value 20971520, or 20
mebibytes. Similarly the string '3.1M' is equivalent to the integer value
3250586. Only one multiplier is recognized and any characters following the
multiplier are ignored, so '20kk' will not produce the same result as '20m'.
Usage of string '.5m' will yield the same result as the string '0.5m'.
An invalid value for NVSHMEM_SYMMETRIC_SIZE is an error, which the NVSHMEM
library shall report by either returning a nonzero value from
nvshmem_init_thread or causing program termination.
NVSHMEM_DEBUG "" (type: string, default: "")
Set to enable debugging messages.
Optional values: VERSION, WARN, INFO, ABORT, TRACE
Bootstrap options:
NVSHMEM_BOOTSTRAP "PMI" (type: string, default: "PMI")
Name of the default bootstrap that should be used to initialize NVSHMEM.
Allowed values: PMI, MPI, SHMEM, plugin, UID
NVSHMEM_BOOTSTRAP_PMI "PMI" (type: string, default: "PMI")
Name of the PMI bootstrap that should be used to initialize NVSHMEM.
Allowed values: PMI, PMI-2, PMIX
NVSHMEM_BOOTSTRAP_PLUGIN "" (type: string, default: "")
Absolute path to or name of the bootstrap plugin file to load when
NVSHMEM_BOOTSTRAP=plugin is specified
NVSHMEM_BOOTSTRAP_MPI_PLUGIN "nvshmem_bootstrap_mpi.so" (type: string, default: "nvshmem_bootstrap_mpi.so")
Absolute path to or name of the MPI bootstrap plugin file.
NVSHMEM will search for the plugin based on linux linker priorities. See man
dlopen
NVSHMEM_BOOTSTRAP_SHMEM_PLUGIN "nvshmem_bootstrap_shmem.so" (type: string, default: "nvshmem_bootstrap_shmem.so")
Absolute path to or name of the SHMEM bootstrap plugin file.
NVSHMEM will search for the plugin based on linux linker priorities. See man
dlopen
NVSHMEM_BOOTSTRAP_PMI_PLUGIN "nvshmem_bootstrap_pmi.so" (type: string, default: "nvshmem_bootstrap_pmi.so")
Absolute path to or name of the PMI bootstrap plugin file.
NVSHMEM will search for the plugin based on linux linker priorities. See man
dlopen
NVSHMEM_BOOTSTRAP_PMI2_PLUGIN "nvshmem_bootstrap_pmi2.so" (type: string, default: "nvshmem_bootstrap_pmi2.so")
Absolute path to or name of the PMI-2 bootstrap plugin file.
NVSHMEM will search for the plugin based on linux linker priorities. See man
dlopen
NVSHMEM_BOOTSTRAP_PMIX_PLUGIN "nvshmem_bootstrap_pmix.so" (type: string, default: "nvshmem_bootstrap_pmix.so")
Absolute path to or name of the PMIx bootstrap plugin file.
NVSHMEM will search for the plugin based on linux linker priorities. See man
dlopen
NVSHMEM_BOOTSTRAP_UID_PLUGIN "nvshmem_bootstrap_uid.so" (type: string, default: "nvshmem_bootstrap_uid.so")
Absolute path to or name of the UID bootstrap plugin file.
NVSHMEM will search for the plugin based on linux linker priorities. See man
dlopen
Additional options:
NVSHMEM_CUDA_PATH "" (type: string, default: "")
Path to directory containing libcuda.so (for use when not in default location)
NVSHMEM_DEBUG_ATTACH_DELAY 0 (type: int, default: 0)
Delay (in seconds) during the first call to NVSHMEM_INIT to allow for attaching
a debuggger (Default 0)
NVSHMEM_DEBUG_FILE "" (type: string, default: "")
Debugging output filename, may contain %h for hostname and %p for pid
NVSHMEM_MAX_TEAMS 32 (type: long, default: 32)
Maximum number of simultaneous teams allowed
NVSHMEM_MAX_P2P_GPUS 128 (type: int, default: 128)
Maximum number of P2P GPUs
NVSHMEM_MAX_MEMORY_PER_GPU 137438953472 (type: size, default: 137438953472)
Maximum memory per GPU
NVSHMEM_DISABLE_CUDA_VMM false (type: bool, default: false)
Disable use of CUDA VMM for P2P memory mapping. By default, CUDA VMM is enabled
on x86 and disabled on P9. CUDA VMM feature in NVSHMEM requires CUDA RT version
and CUDA Driver version to be greater than or equal to 11.3.
NVSHMEM_DISABLE_P2P false (type: bool, default: false)
Disable P2P connectivity of GPUs even when available
NVSHMEM_IGNORE_CUDA_MPS_ACTIVE_THREAD_PERCENTAGE false (type: bool, default: false)
When doing Multi-Process Per GPU (MPG) run, full API support is available only
if sum of CUDA_MPS_ACTIVE_THREAD_PERCENTAGE of processes running on a GPU is <=
100%. Through this variable, user can request NVSHMEM runtime to ignore the
active thread percentage and allow full MPG support. Users enable it at their
own risk as NVSHMEM might deadlock.
NVSHMEM_CUMEM_GRANULARITY 536870912 (type: size, default: 536870912)
Granularity for cuMemAlloc/cuMemCreate
NVSHMEM_PROXY_REQUEST_BATCH_MAX 32 (type: int, default: 32)
Maxmum number of requests that the proxy thread processes in a single iteration
of the progress loop.
Collectives options:
NVSHMEM_DISABLE_NCCL false (type: bool, default: false)
Disable use of NCCL for collective operations
NVSHMEM_BARRIER_DISSEM_KVAL 2 (type: int, default: 2)
Radix of the dissemination algorithm used for barriers
NVSHMEM_BARRIER_TG_DISSEM_KVAL 2 (type: int, default: 2)
Radix of the dissemination algorithm used for thread group barriers
NVSHMEM_FCOLLECT_LL_THRESHOLD 2048 (type: size, default: 2048)
Message size threshold up to which fcollect LL algo will be used
NVSHMEM_REDUCE_SCRATCH_SIZE 524288 (type: size, default: 524288)
Amount of symmetric heap memory (minimum 16B, multiple of 8B) reserved by
runtime for every team to implement reduce and reducescatter collectives
NVSHMEM_BCAST_ALGO 0 (type: int, default: 0)
Broadcast algorithm to be used.
* 0 - use default algorithm selection strategy
NVSHMEM_REDMAXLOC_ALGO 1 (type: int, default: 1)
Reduction algorithm to be used for MAXLOC operation.
* 1 - default, flag alltoall algorithm
* 2 - flat reduce + flat bcast
* 3 - topo-aware two-level reduce + topo-aware bcast
Transport options:
NVSHMEM_REMOTE_TRANSPORT "ibrc" (type: string, default: "ibrc")
Selected transport for remote operations: ibrc, ucx, libfabric, ibdevx, none
NVSHMEM_ENABLE_NIC_PE_MAPPING false (type: bool, default: false)
When not set or set to 0, a PE is assigned the NIC on the node that is closest
to it by distance. When set to 1, NVSHMEM either assigns NICs to PEs on a
round-robin basis or uses NVSHMEM_HCA_PE_MAPPING or NVSHMEM_HCA_LIST when they
are specified.
NVSHMEM_DISABLE_LOCAL_ONLY_PROXY false (type: bool, default: false)
When running on an NVLink-only configuaration (No-IB, No-UCX), completely
disable the proxy thread. This will disable device side global exit and device
side wait timeout polling (enabled by NVSHMEM_TIMEOUT_DEVICE_POLLING build-time
variable) because these are processed by the proxy thread.
NVSHMEM_IB_ENABLE_IBGDA false (type: bool, default: false)
Set to enable GPU-initiated communication transport.
Hidden options:
NVSHMEM_INFO_HIDDEN true (type: bool, default: false)
Print hidden environment variable options at startup
NVSHMEM_DISABLE_NVLS_SHARING true (type: bool, default: true)
Disable NVLS SHARP resource sharing for user-defined teams
NVSHMEM_HEAP_KIND "DEVICE" (type: string, default: "DEVICE")
Specify the memory kind used by the NVSHMEM symmetric heap.
Allowed values: VIDMEM, SYSMEM
NVSHMEM_ENABLE_RAIL_OPT false (type: bool, default: false)
Enable Rail Optimization when heap is in SYSMEM
NVSHMEM_BOOTSTRAP_TWO_STAGE false (type: bool, default: false)
Ignore CUDA device setting during initialization,forcing two-stage
initialization
NVSHMEM_DEBUG_SUBSYS "" (type: string, default: "")
Comma separated list of debugging message sources. Prefix with '^' to exclude.
Values: INIT, COLL, P2P, PROXY, TRANSPORT, MEM, BOOTSTRAP, TOPO, UTIL, ALL
NVSHMEM_ENABLE_ERROR_CHECKS false (type: bool, default: false)
Enable error checks
NVSHMEM_DISABLE_MNNVL false (type: bool, default: false)
Disable MNNVL connectivity for GPUs even when available
NVSHMEM_CUMEM_HANDLE_TYPE "FILE_DESCRIPTOR" (type: string, default: "FILE_DESCRIPTOR")
Handle type for cuMemCreate. Supported are - FABRIC or FILE_DESCRIPTOR
NVSHMEM_BYPASS_ACCESSIBILITY_CHECK false (type: bool, default: false)
Bypass peer GPU accessbility checks
NVSHMEM_FCOLLECT_NTHREADS 512 (type: int, default: 512)
Sets number of threads per block for fcollect collective.
By default, if no env is set, default value is min(max_occupancy per CTA, msg
size per PE).
If env is specified, value overrides the default irrespective of max occupancy
per CTA
NVSHMEM_REDUCESCATTER_NTHREADS 512 (type: int, default: 512)
Sets number of threads per block for reducescatter collective.
By default, if no env is set, default value is min(max_occupancy per CTA, msg
size per PE).
If env is specified, value overrides the default irrespective of max occupancy
per CTA
NVSHMEM_MAX_CTAS 1 (type: int, default: 1)
Sets number of blocks per grid for host onstream collective.
By default, if no env is set, default value to 1 CTA
If env is specified, value overrides the default value
NVSHMEM_REDUCE_RECEXCH_KVAL 2 (type: int, default: 2)
Radix of the recursive exchange reduction algorithm
NVSHMEM_FCOLLECT_LL128_THRESHOLD 0 (type: size, default: 0)
Message size threshold up to which the fcollect LL128 algo will be used.
LL128 will be used only when FCOLLECT_LL_THRESHOLD < size
NVSHMEM_FCOLLECT_NVLS_THRESHOLD 16777216 (type: size, default: 16777216)
Message size threshold up to which fcollect NVLS algo will be used
NVSHMEM_REDUCESCATTER_NVLS_THRESHOLD 16777216 (type: size, default: 16777216)
Message size threshold up to which reducescatter NVLS algo will be used
NVSHMEM_BCAST_TREE_KVAL 2 (type: int, default: 2)
Radix of the broadcast tree algorithm
NVSHMEM_FCOLLECT_ALGO 0 (type: int, default: 0)
Fcollect algorithm to be used.
* 0 - use default algorithm selection strategy
NVSHMEM_REDUCE_ALGO 0 (type: int, default: 0)
Allreduce algorithm to be used.
* 0 - use default algorithm selection strategy
NVSHMEM_REDUCESCATTER_ALGO 0 (type: int, default: 0)
Reduce Scatter algorithm to be used.
* 0 - use default algorithm selection strategy
NVSHMEM_ASSERT_ATOMICS_SYNC false (type: bool, default: false)
Bypass flush on wait_until at target
NVSHMEM_BYPASS_FLUSH false (type: bool, default: false)
Bypass flush in proxy when enforcing consistency
NVTX options:
NVSHMEM_NVTX "off" (type: string, default: "off")
Set to enable NVTX instrumentation. Accepts a comma separated list of
instrumentation groups. By default the NVTX instrumentation is disabled.
init : library setup
alloc : memory management
launch : kernel launch routines
coll : collective communications
wait : blocking point-to-point synchronization
wait_on_stream : point-to-point synchronization (on stream)
test : non-blocking point-to-point synchronization
memorder : memory ordering (quiet, fence)
quiet_on_stream : nvshmemx_quiet_on_stream
atomic_fetch : fetching atomic memory operations
atomic_set : non-fetchong atomic memory operations
rma_blocking : blocking remote memory access operations
rma_nonblocking : non-blocking remote memory access operations
proxy : activity of the proxy thread
common : init,alloc,launch,coll,memorder,wait,atomic_fetch,rma_blocking,proxy
all : all groups
off : disable all NVTX instrumentation
Additional Information
Please provide any other relevant information, such as error logs, screenshots, etc.
The error logs indicate an NVSHMEM-related issue during the initialization of QPs (Queue Pairs). It is recommended to contact NVIDIA technical support to provide necessary assistance for RoCE devices, particularly for enabling IBGDA functionality on BlueField-3 (BF3) adapters.
If you're experiencing the same issue, please share your feedback with the NVSHMEM development team to help investigate and resolve the problem.
The error logs indicate an NVSHMEM-related issue during the initialization of QPs (Queue Pairs). It is recommended to contact NVIDIA technical support to provide necessary assistance for RoCE devices, particularly for enabling IBGDA functionality on BlueField-3 (BF3) adapters.
If you're experiencing the same issue, please share your feedback with the NVSHMEM development team to help investigate and resolve the problem.
thanks, Let me try NVSHMEM examples on BlueField-3, and contact NVIDIA technical support.
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
@WJTian Thank you for your feedback! At the time of our release, the source code for NVSHMEM v3.2.5 was not yet available. I will test it soon!
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
I tried this solution and luckily the patch file can be apply directly, it really works. LOL thanks a lot. @WJTian @sphish
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
I tried this solution and luckily the patch file can be apply directly, it really works. LOL thanks a lot. @WJTian @sphish
What is the matter? I got errors when applying the patch to nvshmem_src_3.2.5-1:
error: patch failed: CMakeLists.txt:140
error: CMakeLists.txt: patch does not apply
error: patch failed: src/modules/transport/ibgda/ibgda.cpp:2405
error: src/modules/transport/ibgda/ibgda.cpp: patch does not apply
error: patch failed: src/modules/transport/ibgda/ibgda.cpp:2401
error: src/modules/transport/ibgda/ibgda.cpp: patch does not apply
Besides the patch problem. I got antother other while compiling DeepEP with nvshmem_src_3.2.5-1.
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/6] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/runtime.o.d -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/kernels/runtime.cu -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/runtime.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -Xcompiler -O3 -rdc=true --ptxas-options=--register-usage-level=10 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_90,code=sm_90 -std=c++17
FAILED: /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/runtime.o
/usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/runtime.o.d -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/kernels/runtime.cu -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/runtime.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -Xcompiler -O3 -rdc=true --ptxas-options=--register-usage-level=10 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_90,code=sm_90 -std=c++17
/root/DeepEP/csrc/kernels/ibgda_device.cuh(258): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
auto cq = qp->rx_wq.cq;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(261): error: cannot deduce "auto" type
auto *cqe64 = reinterpret_cast<struct mlx5_cqe64*>(cq->cqe);
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(345): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
auto resv_head = mvars->rx_wq.resv_head;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(346): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
auto num_valid_slots = resv_head - mvars->rx_wq.cons_idx;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(348): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
resv_head = mvars->rx_wq.cons_idx + qp->rx_wq.nwqes;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(348): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
resv_head = mvars->rx_wq.cons_idx + qp->rx_wq.nwqes;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(349): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
mvars->rx_wq.resv_head = resv_head;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(353): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
__be32 *dbrec_ptr = qp->rx_wq.dbrec;
^
/root/DeepEP/csrc/kernels/runtime.cu(54): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
for (int i = 0; i < qp->rx_wq.nwqes; ++ i)
^
/root/DeepEP/csrc/kernels/runtime.cu(56): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
qp->mvars.rx_wq.resv_head = 0;
^
/root/DeepEP/csrc/kernels/runtime.cu(57): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
qp->mvars.rx_wq.cons_idx = 0;
^
11 errors detected in the compilation of "/root/DeepEP/csrc/kernels/runtime.cu".
[2/6] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode_ll.o.d -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/kernels/internode_ll.cu -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode_ll.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -Xcompiler -O3 -rdc=true --ptxas-options=--register-usage-level=10 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_90,code=sm_90 -std=c++17
FAILED: /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode_ll.o
/usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode_ll.o.d -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/kernels/internode_ll.cu -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode_ll.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -Xcompiler -O3 -rdc=true --ptxas-options=--register-usage-level=10 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_90,code=sm_90 -std=c++17
/root/DeepEP/csrc/kernels/ibgda_device.cuh(258): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
auto cq = qp->rx_wq.cq;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(261): error: cannot deduce "auto" type
auto *cqe64 = reinterpret_cast<struct mlx5_cqe64*>(cq->cqe);
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(345): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
auto resv_head = mvars->rx_wq.resv_head;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(346): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
auto num_valid_slots = resv_head - mvars->rx_wq.cons_idx;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(348): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
resv_head = mvars->rx_wq.cons_idx + qp->rx_wq.nwqes;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(348): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
resv_head = mvars->rx_wq.cons_idx + qp->rx_wq.nwqes;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(349): error: class "nvshmemi_ibgda_device_qp_management_v1" has no member "rx_wq"
mvars->rx_wq.resv_head = resv_head;
^
/root/DeepEP/csrc/kernels/ibgda_device.cuh(353): error: class "nvshmemi_ibgda_device_qp" has no member "rx_wq"
__be32 *dbrec_ptr = qp->rx_wq.dbrec;
^
8 errors detected in the compilation of "/root/DeepEP/csrc/kernels/internode_ll.cu".
[3/6] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/intranode.o.d -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/kernels/intranode.cu -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/intranode.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -Xcompiler -O3 -rdc=true --ptxas-options=--register-usage-level=10 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_90,code=sm_90 -std=c++17
[4/6] c++ -MMD -MF /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/deep_ep.o.d -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/deep_ep.cpp -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/deep_ep.o -O3 -Wno-deprecated-declarations -Wno-unused-variable -Wno-sign-compare -Wno-reorder -Wno-attributes -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++17
[5/6] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode.o.d -Icsrc/ -I/opt/nvshmem/include -I/usr/local/lib/python3.10/dist-packages/torch/include -I/usr/local/lib/python3.10/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.10/dist-packages/torch/include/TH -I/usr/local/lib/python3.10/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.10 -c -c /root/DeepEP/csrc/kernels/internode.cu -o /root/DeepEP/build/temp.linux-x86_64-cpython-310/csrc/kernels/internode.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -Xcompiler -O3 -rdc=true --ptxas-options=--register-usage-level=10 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=deep_ep_cpp -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_90,code=sm_90 -std=c++17
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py", line 2104, in _run_ninja_build
subprocess.run(
File "/usr/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/root/DeepEP/setup.py", line 44, in <module>
setuptools.setup(
File "/usr/local/lib/python3.10/dist-packages/setuptools/__init__.py", line 117, in setup
return distutils.core.setup(**attrs)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/core.py", line 186, in setup
return run_commands(dist)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/core.py", line 202, in run_commands
dist.run_commands()
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/dist.py", line 983, in run_commands
self.run_command(cmd)
File "/usr/local/lib/python3.10/dist-packages/setuptools/dist.py", line 999, in run_command
super().run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/dist.py", line 1002, in run_command
cmd_obj.run()
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/install.py", line 109, in run
self.do_egg_install()
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/install.py", line 167, in do_egg_install
self.run_command('bdist_egg')
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/cmd.py", line 339, in run_command
self.distribution.run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/dist.py", line 999, in run_command
super().run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/dist.py", line 1002, in run_command
cmd_obj.run()
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/bdist_egg.py", line 177, in run
cmd = self.call_command('install_lib', warn_dir=False)
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/bdist_egg.py", line 163, in call_command
self.run_command(cmdname)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/cmd.py", line 339, in run_command
self.distribution.run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/dist.py", line 999, in run_command
super().run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/dist.py", line 1002, in run_command
cmd_obj.run()
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/install_lib.py", line 19, in run
self.build()
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/command/install_lib.py", line 110, in build
self.run_command('build_ext')
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/cmd.py", line 339, in run_command
self.distribution.run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/dist.py", line 999, in run_command
super().run_command(command)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/dist.py", line 1002, in run_command
cmd_obj.run()
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_ext.py", line 99, in run
_build_ext.run(self)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/command/build_ext.py", line 365, in run
self.build_extensions()
File "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py", line 868, in build_extensions
build_ext.build_extensions(self)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/command/build_ext.py", line 481, in build_extensions
self._build_extensions_serial()
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/command/build_ext.py", line 507, in _build_extensions_serial
self.build_extension(ext)
File "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_ext.py", line 264, in build_extension
_build_ext.build_extension(self, ext)
File "/usr/local/lib/python3.10/dist-packages/setuptools/_distutils/command/build_ext.py", line 562, in build_extension
objects = self.compiler.compile(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py", line 681, in unix_wrap_ninja_compile
_write_ninja_file_and_compile_objects(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py", line 1784, in _write_ninja_file_and_compile_objects
_run_ninja_build(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/cpp_extension.py", line 2120, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
I tried this solution and luckily the patch file can be apply directly, it really works. LOL thanks a lot. @WJTian @sphish
What is the matter? I got errors when applying the patch to nvshmem_src_3.2.5-1:
error: patch failed: CMakeLists.txt:140 error: CMakeLists.txt: patch does not apply error: patch failed: src/modules/transport/ibgda/ibgda.cpp:2405 error: src/modules/transport/ibgda/ibgda.cpp: patch does not apply error: patch failed: src/modules/transport/ibgda/ibgda.cpp:2401 error: src/modules/transport/ibgda/ibgda.cpp: patch does not apply
yes， if you use git apply patchfile， you will get this error. I use PyCharm to apply the patch file. not sure what is the differents of this tow tools.
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
Hello, have you attempted to execute the low-latency test within H20? I was able to patch into nvshmem 3.2.5, which indeed resolved the QPs issue. However, I still encountered other problems during the execution of the low-latency tests.
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
Hello, have you attempted to execute the low-latency test within H20? I was able to patch into nvshmem 3.2.5, which indeed resolved the QPs issue. However, I still encountered other problems during the execution of the low-latency tests.
We haven't tested on the h20 machine, but theoretically it should work. What issues are you encountering? @Dixeran
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
Hello, have you attempted to execute the low-latency test within H20? I was able to patch into nvshmem 3.2.5, which indeed resolved the QPs issue. However, I still encountered other problems during the execution of the low-latency tests.
We haven't tested on the h20 machine, but theoretically it should work. What issues are you encountering? @Dixeran
[nvshmem/src/host/stream/coll/barrier/barrier.cu:36] cuda failed with too many blocks in cooperative launch
Seems like some hardware resources retriction compare to H800?
Yes, the H20 has fewer SMs compared to the H800. Please refer to https://github.com/deepseek-ai/DeepEP/issues/15#issuecomment-2682343603.
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
Hello, have you attempted to execute the low-latency test within H20? I was able to patch into nvshmem 3.2.5, which indeed resolved the QPs issue. However, I still encountered other problems during the execution of the low-latency tests.
We haven't tested on the h20 machine, but theoretically it should work. What issues are you encountering? @Dixeran
[nvshmem/src/host/stream/coll/barrier/barrier.cu:36] cuda failed with too many blocks in cooperative launchSeems like some hardware resources retriction compare to H800?
I ran into this problem while doing nvshmem perftest and it was resolved by upgrading to nvshmem_src_3.2.5-1.
I tried this solution and luckily the patch file can be apply directly, it really works. LOL thanks a lot. @WJTian @sphish
What is the matter? I got errors when applying the patch to nvshmem_src_3.2.5-1:
error: patch failed: CMakeLists.txt:140 error: CMakeLists.txt: patch does not apply error: patch failed: src/modules/transport/ibgda/ibgda.cpp:2405 error: src/modules/transport/ibgda/ibgda.cpp: patch does not apply error: patch failed: src/modules/transport/ibgda/ibgda.cpp:2401 error: src/modules/transport/ibgda/ibgda.cpp: patch does not apply
did you already patched? This problem appear when i try to patch at second time
did you already patched? This problem appear when i try to patch at second time
@xing0821 Have you pulled the newest code? The latest patch should have solved this problem.