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Adding couple more APIs to KVTensorWrapper to bring partiy with torch::Tensor #7745

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Adding couple more APIs to KVTensorWrapper to bring partiy with torch::Tensor

Adding couple more APIs to KVTensorWrapper to bring partiy with torch::Tensor #7745

Triggered via pull request February 3, 2025 16:26
@pradeepfnpradeepfn
synchronize #3645
pradeepfn:export-D68934783
Status Cancelled
Total duration 1h 10m 44s
Artifacts 30

fbgemm_gpu_ci_cuda.yml

on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.12, 12.6.3, 12.4.1, gcc)
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.12, 12.4.1, 12.4.1, gcc)
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.10, 12.4.1, 12.4.1, gcc)
Canceling since a higher priority waiting request for 'FBGEMM_GPU-CUDA CI-3645' exists
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Canceling since a higher priority waiting request for 'FBGEMM_GPU-CUDA CI-3645' exists
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Canceling since a higher priority waiting request for 'FBGEMM_GPU-CUDA CI-3645' exists
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Canceling since a higher priority waiting request for 'FBGEMM_GPU-CUDA CI-3645' exists
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Artifacts

Produced during runtime
Name Size
fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu11.8.0.whl
237 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.4.1.whl
454 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.6.3.whl
451 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu11.8.0.whl
237 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.4.1.whl
454 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.6.3.whl
451 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu11.8.0.whl
237 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.4.1.whl
454 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.6.3.whl
451 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu11.8.0.whl
237 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.4.1.whl
454 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.6.3.whl
451 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu11.8.0.whl
237 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.4.1.whl
454 MB
fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.6.3.whl
451 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu11.8.0.whl
234 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.4.1.whl
452 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.6.3.whl
449 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu11.8.0.whl
234 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.4.1.whl
452 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.6.3.whl
449 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu11.8.0.whl
234 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.4.1.whl
452 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.6.3.whl
449 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu11.8.0.whl
234 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.4.1.whl
452 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.6.3.whl
449 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu11.8.0.whl
234 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.4.1.whl
452 MB
fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.6.3.whl
449 MB