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CI #7145
cpcloudci.yml
on: schedule
should-skip
4s
ci-vars
7s
Matrix: build-linux-64
Matrix: build-windows
Matrix: build-linux-aarch64
Matrix: build-windows-arm64 / build
API check (cuda_core vs. latest release)
14s
API check (cuda_core vs. merge base)
0s
Matrix: test-linux-64
Matrix: test-windows
Matrix: test-linux-aarch64
Dispatch WoA integration
/
dispatch-private-validation
Check job status
3s
Annotations
48 errors, 3 warnings, and 10 notices
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L313
test_bisection_root[5-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L313
test_bisection_root[4-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L313
test_bisection_root[3-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L313
test_bisection_root[2-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L313
test_bisection_root[1-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L203
test_heat_diffusion[5-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L203
test_heat_diffusion[4-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L203
test_heat_diffusion[3-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L203
test_heat_diffusion[2-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.13, CUDA 13.0.2 (wheels), GPU rtxpro6000 (MCDM):
cuda_core\tests\graph\test_graph_definition_integration.py#L208
test_heat_diffusion[1-5]
cuda.core._utils.cuda_utils.CUDAError: CUDA_ERROR_ILLEGAL_ADDRESS: While executing a kernel, the device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistent state and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched.
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Test win-64 / Python 3.15t, CUDA 13.5.0 (wheels), GPU rtx2080 (WDDM)
Process completed with exit code 139.
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Test win-64 / Python 3.14t, CUDA 13.0.2 (wheels), GPU a100 (MCDM)
Process completed with exit code 139.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch_options.py#L336
TestCopyBatchOptions.test_options_on_per_thread_default_stream[2-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch_options.py#L336
TestCopyBatchOptions.test_options_on_per_thread_default_stream[1-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch.py#L301
TestCopyBatchStreamSemantics.test_per_thread_default_stream_token_is_accepted[5-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch.py#L301
TestCopyBatchStreamSemantics.test_per_thread_default_stream_token_is_accepted[4-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch.py#L301
TestCopyBatchStreamSemantics.test_per_thread_default_stream_token_is_accepted[3-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch.py#L301
TestCopyBatchStreamSemantics.test_per_thread_default_stream_token_is_accepted[2-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_copy_batch.py#L301
TestCopyBatchStreamSemantics.test_per_thread_default_stream_token_is_accepted[1-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_backward_compatibility.py#L36
test_pinned_mr_accepts_dict_keyword[5-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_backward_compatibility.py#L36
test_pinned_mr_accepts_dict_keyword[4-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14, CUDA 13.5.0 (local), GPU l4 (MCDM):
cuda_core\tests\memory\test_backward_compatibility.py#L36
test_pinned_mr_accepts_dict_keyword[3-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test linux-64 / Python 3.14t, CUDA 12.9.1 (local), GPU t4
Process completed with exit code 1.
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Test linux-64 / Python 3.14t, CUDA 12.9.1 (local), GPU t4:
cuda_core/tests/test_program.py#L1274
test_cuda_gdb_shows_nvrtc_debug_source_lines[2-5]
subprocess.TimeoutExpired: Command '['/__w/cuda-python/cuda-python/cuda_toolkit/bin/cuda-gdb', '--batch', '-ex', 'set cuda break_on_launch application', '-ex', 'run', '-ex', 'list', '--args', '/__w/_temp/venv-wy3hui81/bin/python', '-u', '/__w/cuda-python/cuda-python/cuda_core/tests/helpers/cuda_gdb_src.py']' timed out after 120 seconds
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-other_thread-4-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-other_thread-3-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-other_thread-2-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-other_thread-1-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-5-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-4-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-3-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-2-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-1-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.14t, CUDA 13.5.0 (wheels), GPU a100 (MCDM):
cuda_core\tests\test_memory.py#L3007
test_mempool_trim[PinnedMR-5-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test linux-64 / Python 3.14t, CUDA 13.5.0 (local), GPU h100 (x2)
The self-hosted runner lost communication with the server. Verify the machine is running and has a healthy network connection. Anything in your workflow that terminates the runner process, starves it for CPU/Memory, or blocks its network access can cause this error.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-other_thread-1-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-5-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-4-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-3-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-2-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3052
test_mempool_calls_during_capture_keep_capture_valid[DeviceMR-global-same_thread-1-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3007
test_mempool_trim[PinnedMR-5-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3007
test_mempool_trim[PinnedMR-4-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3007
test_mempool_trim[PinnedMR-3-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Test win-64 / Python 3.15, CUDA 13.5.0 (local), GPU t4 (MCDM):
cuda_core\tests\test_memory.py#L3007
test_mempool_trim[PinnedMR-2-5]
cuda.core._utils.cuda_utils.CUDAOutOfMemoryError: CUDA_ERROR_OUT_OF_MEMORY: The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation.
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Check job status
Process completed with exit code 1.
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Check job status
test-windows did not match expected result
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Check job status
test-linux-64 did not match expected result
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Docs / Build docs
warning libmamba You are using 'pip' as an additional package manager.
Be aware that packages installed with 'pip' are managed independently from 'conda-forge' channel.
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Docs / Build docs
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.
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Docs / Build docs
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.
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should-skip
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
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ci-vars
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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detect-changes
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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API check (cuda_core vs. latest release)
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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Test linux-64 / compute-matrix
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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Test linux-aarch64 / compute-matrix
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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Test win-64 / compute-matrix
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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Docs / Build docs
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
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Docs / Deploy docs
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
|
|
Check job status
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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cuda-bindings-python311-cuda13.5.0-linux-64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e
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7.91 MB |
sha256:c926004a57572b809a2ad47018cecc81ae5a351e995735189a55e9f6b5bb0dae
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cuda-bindings-python311-cuda13.5.0-linux-64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e-tests
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463 KB |
sha256:efaec32a0afcf7cdb51787bbcc61e79660e44d91ab65dde7a251beed230eefb4
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cuda-bindings-python311-cuda13.5.0-linux-aarch64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e
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6.99 MB |
sha256:47fc3d2999c2ef9c1e7d5bd5e3d0b7167b1a4fa9f8b53b8e85a26c1810faca1a
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cuda-bindings-python311-cuda13.5.0-linux-aarch64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e-tests
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442 KB |
sha256:38684513a2683d3bf8ff413c65f4e14bc0715257271f1d5fb5fe8583493ce1bf
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cuda-bindings-python311-cuda13.5.0-win-64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e
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7.62 MB |
sha256:b058f24faf4ac5319873d0be530e5e00c07b9b65666685e673705c727aea97e5
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cuda-bindings-python311-cuda13.5.0-win-64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e-tests
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66.3 KB |
sha256:e0c7a8784dce77c35783f772e47d06a5766b577e633dfbbff38bdf469e24bc05
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cuda-bindings-python311-cuda13.5.0-win-arm64-e96903e7058d1e26fb056b1a9e4f6e98d67c967e
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