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Config - Add inference config for NC A100 and NV A10 series (#329)
Add inference config for preview SKUs, including: * [NC96ads_A100_v4](https://docs.microsoft.com/en-us/azure/virtual-machines/nc-a100-v4-series) * [NV18ads_A10_v5](https://docs.microsoft.com/en-us/azure/virtual-machines/nva10v5-series)
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| @@ -1,4 +1,5 @@ | ||
| [mypy] | ||
| exclude = build/ | ||
| ignore_missing_imports = True | ||
| scripts_are_modules = True | ||
| warn_return_any = True |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,315 @@ | ||
| version: v0.4 | ||
| superbench: | ||
| enable: null | ||
| monitor: | ||
| enable: true | ||
| sample_duration: 1 | ||
| sample_interval: 10 | ||
| var: | ||
| default_local_mode: &default_local_mode | ||
| enable: true | ||
| modes: | ||
| - name: local | ||
| proc_num: 4 | ||
| prefix: CUDA_VISIBLE_DEVICES={proc_rank} | ||
| parallel: yes | ||
| default_pytorch_mode: &default_pytorch_mode | ||
| enable: true | ||
| modes: | ||
| - name: torch.distributed | ||
| proc_num: 4 | ||
| node_num: 1 | ||
| frameworks: | ||
| - pytorch | ||
| offline_inference_config: &offline_inference_config | ||
| duration: 0 | ||
| num_warmup: 64 | ||
| num_steps: 2048 | ||
| sample_count: 8192 | ||
| batch_size: 32 | ||
| precision: | ||
| - float32 | ||
| - float16 | ||
| model_action: | ||
| - inference | ||
| pin_memory: yes | ||
| online_inference_config: &online_inference_config | ||
| duration: 0 | ||
| num_warmup: 64 | ||
| num_steps: 2048 | ||
| sample_count: 8192 | ||
| batch_size: 1 | ||
| precision: | ||
| - float32 | ||
| - float16 | ||
| model_action: | ||
| - inference | ||
| pin_memory: yes | ||
| benchmarks: | ||
| kernel-launch: | ||
| <<: *default_local_mode | ||
| gemm-flops: | ||
| <<: *default_local_mode | ||
| nccl-bw: | ||
| enable: true | ||
| modes: | ||
| - name: local | ||
| proc_num: 1 | ||
| parallel: no | ||
| parameters: | ||
| ngpus: 4 | ||
| cpu-memory-bw-latency: | ||
| enable: true | ||
| 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: 4 | ||
| prefix: CUDA_VISIBLE_DEVICES={proc_rank} numactl -N {proc_rank} | ||
| parallel: no | ||
| gpu-copy-bw: | ||
| enable: true | ||
| modes: | ||
| - name: local | ||
| parallel: no | ||
| parameters: | ||
| mem_type: | ||
| - htod | ||
| - dtoh | ||
| copy_type: | ||
| - sm | ||
| - dma | ||
| cudnn-function: | ||
| <<: *default_local_mode | ||
| cublas-function: | ||
| <<: *default_local_mode | ||
| matmul: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| sharding-matmul: | ||
| <<: *default_pytorch_mode | ||
| computation-communication-overlap: | ||
| <<: *default_pytorch_mode | ||
| enable: false | ||
| ort-inference:fp16-offline: | ||
| <<: *default_local_mode | ||
| parameters: | ||
| pytorch_models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| - densenet169 | ||
| - densenet201 | ||
| batch_size: 32 | ||
| precision: float16 | ||
| ort-inference:fp16-online: | ||
| <<: *default_local_mode | ||
| parameters: | ||
| pytorch_models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| - densenet169 | ||
| - densenet201 | ||
| batch_size: 1 | ||
| precision: float16 | ||
| tensorrt-inference:fp16-offline: | ||
| <<: *default_local_mode | ||
| parameters: | ||
| pytorch_models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| - densenet169 | ||
| - densenet201 | ||
| - bert-base | ||
| - bert-large | ||
| seq_length: 224 | ||
| batch_size: 32 | ||
| precision: fp16 | ||
| tensorrt-inference:fp16-online: | ||
| <<: *default_local_mode | ||
| parameters: | ||
| pytorch_models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| - densenet169 | ||
| - densenet201 | ||
| - bert-base | ||
| - bert-large | ||
| seq_length: 224 | ||
| batch_size: 1 | ||
| precision: fp16 | ||
| tensorrt-inference:int8-offline: | ||
| <<: *default_local_mode | ||
| parameters: | ||
| pytorch_models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| - densenet169 | ||
| - densenet201 | ||
| - bert-base | ||
| - bert-large | ||
| seq_length: 224 | ||
| batch_size: 32 | ||
| precision: int8 | ||
| tensorrt-inference:int8-online: | ||
| <<: *default_local_mode | ||
| parameters: | ||
| pytorch_models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| - densenet169 | ||
| - densenet201 | ||
| - bert-base | ||
| - bert-large | ||
| seq_length: 224 | ||
| batch_size: 1 | ||
| precision: int8 | ||
| # PyTorch offline inference | ||
| model-benchmarks:gpt-offline: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - gpt2-small | ||
| - gpt2-large | ||
| parameters: | ||
| <<: *offline_inference_config | ||
| batch_size: 8 | ||
| seq_len: 224 | ||
| model-benchmarks:bert-offline: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - bert-base | ||
| - bert-large | ||
| parameters: | ||
| <<: *offline_inference_config | ||
| seq_len: 224 | ||
| model-benchmarks:lstm-offline: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - lstm | ||
| parameters: | ||
| <<: *offline_inference_config | ||
| batch_size: 224 | ||
| input_size: 224 | ||
| hidden_size: 1000 | ||
| seq_len: 32 | ||
| pin_memory: no | ||
| model-benchmarks:resnet-offline: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| parameters: | ||
| <<: *offline_inference_config | ||
| batch_size: 192 | ||
| num_steps: 512 | ||
| model-benchmarks:densenet-offline: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - densenet169 | ||
| - densenet201 | ||
| parameters: | ||
| <<: *offline_inference_config | ||
| pin_memory: no | ||
| model-benchmarks:vgg-offline: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - vgg11 | ||
| - vgg13 | ||
| - vgg16 | ||
| - vgg19 | ||
| parameters: | ||
| <<: *offline_inference_config | ||
| pin_memory: no | ||
| # PyTorch online inference | ||
| model-benchmarks:gpt-online: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - gpt2-small | ||
| - gpt2-large | ||
| parameters: | ||
| <<: *online_inference_config | ||
| seq_len: 224 | ||
| model-benchmarks:bert-online: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - bert-base | ||
| - bert-large | ||
| parameters: | ||
| <<: *online_inference_config | ||
| seq_len: 224 | ||
| model-benchmarks:lstm-online: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - lstm | ||
| parameters: | ||
| <<: *online_inference_config | ||
| input_size: 224 | ||
| hidden_size: 1000 | ||
| seq_len: 32 | ||
| pin_memory: no | ||
| model-benchmarks:resnet-online: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - resnet50 | ||
| - resnet101 | ||
| - resnet152 | ||
| parameters: | ||
| <<: *online_inference_config | ||
| model-benchmarks:densenet-online: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - densenet169 | ||
| - densenet201 | ||
| parameters: | ||
| <<: *online_inference_config | ||
| pin_memory: no | ||
| model-benchmarks:vgg-online: | ||
| <<: *default_local_mode | ||
| frameworks: | ||
| - pytorch | ||
| models: | ||
| - vgg11 | ||
| - vgg13 | ||
| - vgg16 | ||
| - vgg19 | ||
| parameters: | ||
| <<: *online_inference_config | ||
| pin_memory: no |
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