forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 79
Expand file tree
/
Copy pathinductor-perf-test-nightly-h100.yml
More file actions
178 lines (170 loc) · 8.25 KB
/
inductor-perf-test-nightly-h100.yml
File metadata and controls
178 lines (170 loc) · 8.25 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
name: inductor-perf-nightly-h100
on:
schedule:
- cron: 15 0 * * 1-6
- cron: 0 7 * * 0
workflow_dispatch:
inputs:
training:
description: Run training (on by default)?
required: false
type: boolean
default: true
inference:
description: Run inference (on by default)?
required: false
type: boolean
default: true
default:
description: Run inductor_default?
required: false
type: boolean
default: false
dynamic:
description: Run inductor_dynamic_shapes?
required: false
type: boolean
default: false
cppwrapper:
description: Run inductor_cpp_wrapper?
required: false
type: boolean
default: false
cudagraphs:
description: Run inductor_cudagraphs?
required: false
type: boolean
default: true
freezing_cudagraphs:
description: Run inductor_cudagraphs with freezing for inference?
required: false
type: boolean
default: false
aotinductor:
description: Run aot_inductor for inference?
required: false
type: boolean
default: false
maxautotune:
description: Run inductor_max_autotune?
required: false
type: boolean
default: false
benchmark_configs:
description: The list of configs used the benchmark
required: false
type: string
default: inductor_huggingface_perf_cuda_h100,inductor_timm_perf_cuda_h100,inductor_torchbench_perf_cuda_h100
pull_request:
# Changing these files guarantees that this workflow needs to be run
paths:
- .github/workflows/inductor-perf-test-nightly-h100.yml
- .ci/docker/ci_commit_pins/huggingface-requirements.txt
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
cancel-in-progress: true
permissions:
id-token: write
contents: read
jobs:
get-label-type:
name: get-label-type
uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
if: ${{ (github.event_name != 'schedule' || github.repository == 'pytorch/pytorch') && github.repository_owner == 'pytorch' }}
with:
triggering_actor: ${{ github.triggering_actor }}
issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
curr_branch: ${{ github.head_ref || github.ref_name }}
curr_ref_type: ${{ github.ref_type }}
opt_out_experiments: lf
build:
name: build
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
# Use a bigger runner here because CUDA_ARCH 9.0 is only built for H100
# or newer GPUs, so it doesn't benefit much from existing compiler cache
# from trunk. Also use a memory-intensive runner here because memory is
# usually the bottleneck
runner: linux.12xlarge.memory
build-environment: linux-jammy-cuda13.0-py3.10-gcc11-sm90
docker-image-name: ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks
cuda-arch-list: '9.0'
test-matrix: |
{ include: [
{ config: "inductor_huggingface_perf_cuda_h100", shard: 1, num_shards: 5, runner: "linux.aws.h100" },
{ config: "inductor_huggingface_perf_cuda_h100", shard: 2, num_shards: 5, runner: "linux.aws.h100" },
{ config: "inductor_huggingface_perf_cuda_h100", shard: 3, num_shards: 5, runner: "linux.aws.h100" },
{ config: "inductor_huggingface_perf_cuda_h100", shard: 4, num_shards: 5, runner: "linux.aws.h100" },
{ config: "inductor_huggingface_perf_cuda_h100", shard: 5, num_shards: 5, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 1, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 2, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 3, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 4, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 5, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 6, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_timm_perf_cuda_h100", shard: 7, num_shards: 7, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 1, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 2, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 3, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 4, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 5, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 6, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 7, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 8, num_shards: 9, runner: "linux.aws.h100" },
{ config: "inductor_torchbench_perf_cuda_h100", shard: 9, num_shards: 9, runner: "linux.aws.h100" },
]}
selected-test-configs: ${{ inputs.benchmark_configs }}
build-additional-packages: "vision audio fbgemm torchao"
secrets: inherit
test-periodically:
name: test-periodically
uses: ./.github/workflows/_linux-test.yml
needs: build
if: github.event.schedule == '15 0 * * 1-6'
with:
build-environment: ${{ needs.build.outputs.build-environment }}
dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true
docker-image: ${{ needs.build.outputs.docker-image }}
test-matrix: ${{ needs.build.outputs.test-matrix }}
timeout-minutes: 720
# disable monitor in perf tests, next step is to enable it
disable-monitor: false
monitor-log-interval: 15
monitor-data-collect-interval: 4
secrets: inherit
test-weekly:
name: test-weekly
uses: ./.github/workflows/_linux-test.yml
needs: build
if: github.event.schedule == '0 7 * * 0'
with:
build-environment: ${{ needs.build.outputs.build-environment }}
dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true
docker-image: ${{ needs.build.outputs.docker-image }}
test-matrix: ${{ needs.build.outputs.test-matrix }}
timeout-minutes: 1440
# disable monitor in perf tests, next step is to enable it
disable-monitor: false
monitor-log-interval: 15
monitor-data-collect-interval: 4
secrets: inherit
test:
name: test
uses: ./.github/workflows/_linux-test.yml
needs: build
# The pull_request trigger is used in PR to bump transformers pin which always
# needs one round of benchmark
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'pull_request' }}
with:
build-environment: ${{ needs.build.outputs.build-environment }}
dashboard-tag: training-${{ inputs.training || 'true' }}-inference-${{ inputs.inference || 'true' }}-default-${{ inputs.default || 'true' }}-dynamic-${{ inputs.dynamic || 'true' }}-cudagraphs-${{ inputs.cudagraphs || 'true' }}-cppwrapper-${{ inputs.cppwrapper || 'false' }}-aotinductor-${{ inputs.aotinductor || 'false' }}-maxautotune-${{ inputs.maxautotune || 'false' }}-freezing_cudagraphs-${{ inputs.freezing_cudagraphs || 'false' }}
docker-image: ${{ needs.build.outputs.docker-image }}
test-matrix: ${{ needs.build.outputs.test-matrix }}
timeout-minutes: 720
# disable monitor in perf tests for more investigation
disable-monitor: false
monitor-log-interval: 15
monitor-data-collect-interval: 4
secrets: inherit