Use exp2 for mx scaling #1530
Use exp2 for mx scaling #1530
Dr.CI classification results
{"FAILED":[{"workflowId":12780526075,"workflowUniqueId":89543087,"id":35626929540,"runnerName":"i-0c0aecac5d70b97fa","authorEmail":"[email protected]","name":"Run Regression Tests / test (CUDA 2.4, linux.g5.12xlarge.nvidia.gpu, torch==2.4.0, cuda, 12.1) / linux-job","jobName":"test (CUDA 2.4, linux.g5.12xlarge.nvidia.gpu, torch==2.4.0, cuda, 12.1) / linux-job","conclusion":"failure","completed_at":"2025-01-15T03:30:25.000000000Z","html_url":"https://github.com/pytorch/ao/actions/runs/12780526075/job/35626929540","head_branch":"drisspg/stack/26","pr_number":1530,"head_sha":"9d068d5c22ad0e004e0f1abf8667c8af376ace34","head_sha_timestamp":"2025-01-15T02:47:25.000000000Z","failure_captures":["RuntimeError: Command docker exec -t 25160cd995866d94e61f9217d8e188a2521250ee5f5b440a088e4cb5f52aa4e7 /exec failed with exit code 1"],"failure_lines":["RuntimeError: Command docker exec -t 25160cd995866d94e61f9217d8e188a2521250ee5f5b440a088e4cb5f52aa4e7 /exec failed with exit code 1"],"failure_context":[],"time":"2025-01-15T02:47:43.000000000Z"},{"workflowId":12780526075,"workflowUniqueId":89543087,"id":35626929823,"runnerName":"i-03a21474bef18ce45","authorEmail":"[email protected]","name":"Run Regression Tests / test (CUDA 2.5.1, linux.g5.12xlarge.nvidia.gpu, torch==2.5.1 --index-url https://download.pytorch... / linux-job","jobName":"test (CUDA 2.5.1, linux.g5.12xlarge.nvidia.gpu, torch==2.5.1 --index-url https://download.pytorch... / linux-job","conclusion":"failure","completed_at":"2025-01-15T03:54:08.000000000Z","html_url":"https://github.com/pytorch/ao/actions/runs/12780526075/job/35626929823","head_branch":"drisspg/stack/26","pr_number":1530,"head_sha":"9d068d5c22ad0e004e0f1abf8667c8af376ace34","head_sha_timestamp":"2025-01-15T02:47:25.000000000Z","failure_captures":["RuntimeError: Cannot access data pointer of Tensor (e.g. FakeTensor, FunctionalTensor). If you're using torch.compile/export/fx, it is likely that we are erroneously tracing into a custom kernel. To fix this, please wrap the custom kernel into an opaque custom op. Please see the following for details: https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html"],"failure_lines":["RuntimeError: Cannot access data pointer of Tensor (e.g. FakeTensor, FunctionalTensor). If you're using torch.compile/export/fx, it is likely that we are erroneously tracing into a custom kernel. To fix this, please wrap the custom kernel into an opaque custom op. Please see the following for details: https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html"],"failure_context":[],"time":"2025-01-15T02:47:44.000000000Z"}],"FLAKY":[],"BROKEN_TRUNK":[],"UNSTABLE":[]}