[rocm7.0_internal_testing] Prevent static initialization of at::cuda::warp_size()#2293
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jithunnair-amd merged 3 commits intorocm7.0_internal_testingfrom Jun 25, 2025
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jeffdaily
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Jun 25, 2025
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I like it. Please submit upstream PR as well.
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Actually, can you upstream this in combination with 80cca70. |
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xinyazhang
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
pushed a commit
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
pushed a commit
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
jithunnair-amd
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
jithunnair-amd
pushed a commit
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Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
jithunnair-amd
pushed a commit
that referenced
this pull request
Jul 2, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
xinyazhang
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Jul 8, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
ethanwee1
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Sep 10, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
ethanwee1
added a commit
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Sep 10, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
ethanwee1
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Sep 11, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
ethanwee1
added a commit
that referenced
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Sep 11, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
jithunnair-amd
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Sep 15, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
jithunnair-amd
pushed a commit
that referenced
this pull request
Sep 15, 2025
…:warp_size() (#2293) Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989 ``` ... ``` 80cca70 created a static global variable that used `at::cuda::warp_size()` to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems. Convert static variable into a static function, thus preventing static initialization. http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/ Ran microbenchmark to confirm basic functionality: ``` root@ubb4-rack-22:/var/lib/jenkins/pytorch-micro-benchmarking# python3 micro_benchmarking_pytorch.py --network resnet50 INFO: running forward and backward for warmup. INFO: running the benchmark.. OK: finished running benchmark.. --------------------SUMMARY-------------------------- Microbenchmark for network : resnet50 Num devices: 1 Dtype: FP32 Mini batch size [img] : 64 Time per mini-batch : 0.10158218145370483 Throughput [img/sec] : 630.0317544289736= ```
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Fixes SWDEV-540240, SWDEV-540309, SWDEV-539989
Error
Explanation
80cca70 created a static global variable that used
at::cuda::warp_size()to initialize its value, which needs GPUs to be visible to query device properties. However, GPUs are not present on CPU-only build systems.Solution
Convert static variable into a static function, thus preventing static initialization.
Validation
http://rocm-ci.amd.com/job/pyt_whl_docker_mainline/1461/artifact/build_artifacts.txt/*view*/
Ran microbenchmark to confirm basic functionality: