-
Notifications
You must be signed in to change notification settings - Fork 59
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Benchmarks - Add configurations for NDv5 and AMD MI300 (#652)
**Description** Add configurations for NDv5 and AMD MI300. **Major Revision** - Add cublaslt , FP8 transformers training, dist-inference cpp in NDv5 config example - Add hipblaslt , FP8 transformers training, dist-inference cpp in AMD MI300 config example
- Loading branch information
Showing
5 changed files
with
545 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,232 @@ | ||
# SuperBench Config | ||
version: v0.11 | ||
superbench: | ||
enable: null | ||
var: | ||
default_local_mode: &default_local_mode | ||
enable: true | ||
modes: | ||
- name: local | ||
proc_num: 8 | ||
prefix: HIP_VISIBLE_DEVICES={proc_rank} | ||
parallel: yes | ||
default_pytorch_mode: &default_pytorch_mode | ||
enable: true | ||
modes: | ||
- name: torch.distributed | ||
proc_num: 8 | ||
node_num: 1 | ||
frameworks: | ||
- pytorch | ||
common_model_config: &common_model_config | ||
model_ddp_parameter: &model_ddp_param | ||
duration: 0 | ||
num_warmup: 128 | ||
num_steps: 512 | ||
sample_count: 8192 | ||
batch_size: 128 | ||
precision: [float32, float16] | ||
model_action: [train] | ||
pin_memory: yes | ||
num_workers: 0 | ||
benchmarks: | ||
kernel-launch: | ||
<<: *default_local_mode | ||
gemm-flops: | ||
<<: *default_local_mode | ||
parameters: | ||
m: 7680 | ||
n: 8192 | ||
k: 8192 | ||
hipblaslt-gemm: | ||
enable: true | ||
modes: | ||
- name: local | ||
proc_num: 8 | ||
prefix: HIP_VISIBLE_DEVICES={proc_rank} | ||
parallel: yes | ||
parameters: | ||
in_types: ["fp32", "fp16", "bf16", 'fp8'] | ||
tolerant_fail: yes | ||
num_warmup: 100 | ||
num_steps: 1000 | ||
shapes: | ||
- 4096,4096,4096 | ||
- 8192,8192,8192 | ||
- 16384,16384,16384 | ||
rccl-bw: | ||
enable: true | ||
modes: | ||
- name: mpi | ||
proc_num: 8 | ||
node_num: 1 | ||
mca: | ||
pml: ob1 | ||
btl: ^openib | ||
btl_tcp_if_exclude: lo,docker0 | ||
coll_hcoll_enable: 0 | ||
parameters: | ||
maxbytes: 16G | ||
ngpus: 1 | ||
operation: allreduce | ||
cpu-memory-bw-latency: | ||
enable: false | ||
modes: | ||
- name: local | ||
proc_num: 1 | ||
parallel: no | ||
parameters: | ||
tests: | ||
- bandwidth_matrix | ||
- latency_matrix | ||
- max_bandwidth | ||
mem-bw: | ||
enable: true | ||
modes: | ||
- name: local | ||
proc_num: 8 | ||
prefix: HIP_VISIBLE_DEVICES={proc_rank} numactl -N $(({proc_rank}/4)) | ||
parallel: no | ||
ib-loopback: | ||
enable: true | ||
modes: | ||
- name: local | ||
proc_num: 16 | ||
prefix: PROC_RANK={proc_rank} IB_DEVICES=0,1,2,3,4,5,6,7,0,1,2,3,4,5,6,7 numactl -N $(({proc_rank}/8)) -m $(({proc_rank}/8)) | ||
parallel: no | ||
parameters: | ||
msg_size: 8388608 | ||
disk-benchmark: | ||
enable: false | ||
modes: | ||
- name: local | ||
proc_num: 1 | ||
parallel: no | ||
parameters: | ||
block_devices: [] | ||
gpu-copy-bw:correctness: | ||
enable: true | ||
modes: | ||
- name: local | ||
parallel: no | ||
parameters: | ||
mem_type: [htod, dtoh, dtod, one_to_all, all_to_one, all_to_all] | ||
copy_type: [sm, dma] | ||
size: 4096 | ||
num_warm_up: 0 | ||
num_loops: 1 | ||
check_data: true | ||
gpu-copy-bw:perf: | ||
enable: true | ||
modes: | ||
- name: local | ||
parallel: no | ||
parameters: | ||
mem_type: [htod, dtoh, dtod, one_to_all, all_to_one, all_to_all] | ||
copy_type: [sm, dma] | ||
ib-traffic: | ||
enable: false | ||
modes: | ||
- name: mpi | ||
proc_num: 1 | ||
mca: | ||
btl: tcp,self | ||
pml: ob1 | ||
btl_tcp_if_include: ens17f0 | ||
gpcnet-network-test: | ||
enable: false | ||
modes: | ||
- name: mpi | ||
proc_num: 1 | ||
mca: | ||
pml: ucx | ||
btl: ^uct | ||
btl_tcp_if_include: ens17f0 | ||
tcp-connectivity: | ||
enable: false | ||
modes: | ||
- name: local | ||
parallel: no | ||
parameters: | ||
port: 22 | ||
dist-inference: | ||
modes: | ||
- name: mpi | ||
proc_num: 8 | ||
node_num: 1 | ||
mca: | ||
pml: ob1 | ||
btl: ^openib | ||
btl_tcp_if_exclude: lo,docker0 | ||
coll_hcoll_enable: 0 | ||
frameworks: | ||
- pytorch | ||
parameters: | ||
num_layers: 50 | ||
num_warmup: 20 | ||
num_steps: 100 | ||
use_cuda_graph: true | ||
precision: float16 | ||
hidden_size: 128 | ||
input_size: 128 | ||
batch_size: 1024 | ||
model-benchmarks:gpt: | ||
enable: true | ||
<<: *default_pytorch_mode | ||
models: | ||
- gpt2-small | ||
- gpt2-large | ||
parameters: | ||
<<: *model_ddp_param | ||
precision: [float32, float16, fp8_hybrid] | ||
batch_size: 32 | ||
seq_len: 224 | ||
model-benchmarks:bert: | ||
enable: true | ||
<<: *default_pytorch_mode | ||
models: | ||
- bert-base | ||
- bert-large | ||
parameters: | ||
<<: *model_ddp_param | ||
precision: [float32, float16, fp8_hybrid] | ||
seq_len: 224 | ||
model-benchmarks:lstm: | ||
enable: true | ||
<<: *default_pytorch_mode | ||
models: | ||
- lstm | ||
parameters: | ||
<<: *model_ddp_param | ||
batch_size: 1024 | ||
input_size: 224 | ||
hidden_size: 1000 | ||
seq_len: 32 | ||
model-benchmarks:resnet: | ||
enable: true | ||
<<: *default_pytorch_mode | ||
models: | ||
- resnet50 | ||
- resnet101 | ||
- resnet152 | ||
parameters: | ||
<<: *model_ddp_param | ||
batch_size: 384 | ||
model-benchmarks:densenet: | ||
enable: true | ||
<<: *default_pytorch_mode | ||
models: | ||
- densenet169 | ||
- densenet201 | ||
parameters: | ||
<<: *model_ddp_param | ||
model-benchmarks:vgg: | ||
enable: true | ||
<<: *default_pytorch_mode | ||
models: | ||
- vgg11 | ||
- vgg13 | ||
- vgg16 | ||
- vgg19 | ||
parameters: | ||
<<: *model_ddp_param |
Oops, something went wrong.