forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
312 lines (287 loc) · 13.7 KB
/
trunk.yml
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
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
name: trunk
on:
push:
branches:
- main
- release/*
- landchecks/*
tags:
- ciflow/trunk/*
workflow_dispatch:
schedule:
- cron: 29 8 * * * # about 1:29am PDT
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
cancel-in-progress: true
permissions: read-all
jobs:
llm-td:
name: before-test
uses: ./.github/workflows/llm_td_retrieval.yml
permissions:
id-token: write
contents: read
target-determination:
name: before-test
uses: ./.github/workflows/target_determination.yml
needs: llm-td
permissions:
id-token: write
contents: read
get-label-type:
name: get-label-type
uses: ./.github/workflows/_runner-determinator.yml
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: ${{ github.ref_type }}
linux-focal-cuda12_4-py3_10-gcc9-sm86-build:
name: linux-focal-cuda12.4-py3.10-gcc9-sm86
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge"
build-environment: linux-focal-cuda12.4-py3.10-gcc9-sm86
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
cuda-arch-list: 8.6
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 2, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 3, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 4, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 5, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.g5.4xlarge.nvidia.gpu" },
]}
linux-focal-cuda12_4-py3_10-gcc9-sm86-test:
name: linux-focal-cuda12.4-py3.10-gcc9-sm86
uses: ./.github/workflows/_linux-test.yml
needs:
- linux-focal-cuda12_4-py3_10-gcc9-sm86-build
- target-determination
with:
build-environment: linux-focal-cuda12.4-py3.10-gcc9-sm86
docker-image: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-sm86-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-sm86-build.outputs.test-matrix }}
libtorch-linux-focal-cuda12_1-py3_7-gcc9-debug-build:
name: libtorch-linux-focal-cuda12.1-py3.7-gcc9-debug
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
build-environment: libtorch-linux-focal-cuda12.1-py3.7-gcc9
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9
build-generates-artifacts: false
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
# no-ops builds test USE_PER_OPERATOR_HEADERS=0 where ATen/ops is not generated
linux-focal-cuda12_1-py3_10-gcc9-no-ops-build:
name: linux-focal-cuda12.1-py3.10-gcc9-no-ops
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge"
build-environment: linux-focal-cuda12.1-py3.10-gcc9-no-ops
docker-image-name: pytorch-linux-focal-cuda12.1-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
libtorch-linux-focal-cuda12_4-py3_7-gcc9-debug-build:
name: libtorch-linux-focal-cuda12.4-py3.7-gcc9-debug
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
build-environment: libtorch-linux-focal-cuda12.4-py3.7-gcc9
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
build-generates-artifacts: false
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
# no-ops builds test USE_PER_OPERATOR_HEADERS=0 where ATen/ops is not generated
linux-focal-cuda12_4-py3_10-gcc9-no-ops-build:
name: linux-focal-cuda12.4-py3.10-gcc9-no-ops
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge"
build-environment: linux-focal-cuda12.4-py3.10-gcc9-no-ops
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
pytorch-linux-focal-py3-clang9-android-ndk-r21e-build:
name: pytorch-linux-focal-py3-clang9-android-ndk-r21e-build
uses: ./.github/workflows/_android-full-build-test.yml
with:
build-environment: pytorch-linux-focal-py3-clang9-android-ndk-r21e-build
docker-image-name: pytorch-linux-focal-py3-clang9-android-ndk-r21e
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1, runner: "amz2023.linux.2xlarge" },
]}
macos-py3-arm64-build:
name: macos-py3-arm64
uses: ./.github/workflows/_mac-build.yml
with:
sync-tag: macos-py3-arm64-build
build-environment: macos-py3-arm64
runner-type: macos-m1-stable
build-generates-artifacts: true
# To match the one pre-installed in the m1 runners
python-version: 3.9.12
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "macos-m1-stable" },
{ config: "default", shard: 2, num_shards: 3, runner: "macos-m1-stable" },
{ config: "default", shard: 3, num_shards: 3, runner: "macos-m1-stable" },
]}
macos-py3-arm64-mps-test:
name: macos-py3-arm64-mps
uses: ./.github/workflows/_mac-test-mps.yml
needs: macos-py3-arm64-build
if: needs.macos-py3-arm64-build.outputs.build-outcome == 'success'
with:
sync-tag: macos-py3-arm64-mps-test
build-environment: macos-py3-arm64
# Same as the build job
python-version: 3.9.12
test-matrix: |
{ include: [
{ config: "mps", shard: 1, num_shards: 1, runner: "macos-m1-13" },
{ config: "mps", shard: 1, num_shards: 1, runner: "macos-m1-14" },
]}
macos-py3-arm64-test:
name: macos-py3-arm64
uses: ./.github/workflows/_mac-test.yml
needs:
- macos-py3-arm64-build
- target-determination
with:
build-environment: macos-py3-arm64
# Same as the build job
python-version: 3.9.12
test-matrix: ${{ needs.macos-py3-arm64-build.outputs.test-matrix }}
win-vs2019-cpu-py3-build:
name: win-vs2019-cpu-py3
uses: ./.github/workflows/_win-build.yml
needs: get-label-type
with:
build-environment: win-vs2019-cpu-py3
cuda-version: cpu
sync-tag: win-cpu-build
runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral" },
{ config: "default", shard: 2, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral" },
{ config: "default", shard: 3, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral" },
]}
win-vs2019-cpu-py3-test:
name: win-vs2019-cpu-py3
uses: ./.github/workflows/_win-test.yml
needs:
- win-vs2019-cpu-py3-build
- target-determination
with:
build-environment: win-vs2019-cpu-py3
cuda-version: cpu
test-matrix: ${{ needs.win-vs2019-cpu-py3-build.outputs.test-matrix }}
win-vs2019-cuda12_1-py3-build:
name: win-vs2019-cuda12.1-py3
uses: ./.github/workflows/_win-build.yml
needs: get-label-type
with:
build-environment: win-vs2019-cuda12.1-py3
cuda-version: "12.1"
runner: "${{ needs.get-label-type.outputs.label-type }}windows.4xlarge.nonephemeral"
linux-focal-rocm6_1-py3_8-build:
name: linux-focal-rocm6.1-py3.8
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge"
build-environment: linux-focal-rocm6.1-py3.8
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 2, runner: "linux.rocm.gpu" },
{ config: "default", shard: 2, num_shards: 2, runner: "linux.rocm.gpu" },
{ config: "distributed", shard: 1, num_shards: 1, runner: "linux.rocm.gpu" },
]}
linux-focal-rocm6_1-py3_8-test:
permissions:
id-token: write
contents: read
name: linux-focal-rocm6.1-py3.8
uses: ./.github/workflows/_rocm-test.yml
needs:
- linux-focal-rocm6_1-py3_8-build
- target-determination
with:
build-environment: linux-focal-rocm6.1-py3.8
docker-image: ${{ needs.linux-focal-rocm6_1-py3_8-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm6_1-py3_8-build.outputs.test-matrix }}
tests-to-include: "test_nn test_torch test_cuda test_ops test_unary_ufuncs test_binary_ufuncs test_autograd inductor/test_torchinductor distributed/test_c10d_common distributed/test_c10d_nccl"
linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build:
name: linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge"
use_split_build: true
build-environment: linux-focal-cuda12.4-py3.10-gcc9
docker-image-name: pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "nogpu_AVX512", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge" },
{ config: "nogpu_NO_AVX2", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge" },
{ config: "jit_legacy", shard: 1, num_shards: 1, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 1, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 2, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 3, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 4, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge.nvidia.gpu" },
{ config: "default", shard: 5, num_shards: 5, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.4xlarge.nvidia.gpu" },
]}
linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build-test:
name: linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build-test
uses: ./.github/workflows/_linux-test.yml
needs:
- linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build
- target-determination
with:
build-environment: linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build
docker-image: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-cuda12_4-py3_10-gcc9-experimental-split-build.outputs.test-matrix }}
linux-focal-cuda11_8-py3_10-gcc9-experimental-split-build:
name: linux-focal-cuda11.8-py3.10-gcc9-experimental-split-build
uses: ./.github/workflows/_linux-build.yml
needs: get-label-type
with:
runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.2xlarge"
use_split_build: true
build-environment: linux-focal-cuda11.8-py3.10-gcc9
docker-image-name: pytorch-linux-focal-cuda11.8-cudnn9-py3-gcc9
test-matrix: |
{ include: [
{ config: "distributed", shard: 1, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.8xlarge.nvidia.gpu" },
{ config: "distributed", shard: 2, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.8xlarge.nvidia.gpu" },
{ config: "distributed", shard: 3, num_shards: 3, runner: "${{ needs.get-label-type.outputs.label-type }}amz2023.linux.8xlarge.nvidia.gpu" },
]}
linux-focal-cuda11_8-py3_10-gcc9-experimental-split-build-test:
name: linux-focal-cuda11.8-py3.10-gcc9-experimental-split-build-test
uses: ./.github/workflows/_linux-test.yml
needs:
- linux-focal-cuda11_8-py3_10-gcc9-experimental-split-build
- target-determination
with:
timeout-minutes: 360
build-environment: linux-focal-cuda11.8-py3.10-gcc9-experimental-split-build
docker-image: ${{ needs.linux-focal-cuda11_8-py3_10-gcc9-experimental-split-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-cuda11_8-py3_10-gcc9-experimental-split-build.outputs.test-matrix }}