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torch.minimum and torch.maximum return a zero whose sign depends on the tensor length
module: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)module: mpsRelated to Apple Metal Performance Shaders frameworkRelated to Apple Metal Performance Shaders frameworktriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#193781 In pytorch/pytorch;Re-add test coverage for AutoHeuristicSelectAlgorithm global-feedback path
bot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botmodule: testsIssues related to tests (not the torch.testing module)Issues related to tests (not the torch.testing module)triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#193777 In pytorch/pytorch;[inductor][cuda]
view(torch.bool).copy_(y.view(torch.bool)).view(torch.float32)silently corrupts data undertorch.compilebot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlyStatus: Open.#193760 In pytorch/pytorch;[inductor][cpu] torch.compile silently accepts
binary_cross_entropytargets outside[0, 1]that eager rejectsbot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlymodule: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)oncall: cpu inductorCPU Inductor issues for Intel team to triageCPU Inductor issues for Intel team to triageStatus: Open.#193757 In pytorch/pytorch;[PyTorch 2.14][API-Unstable] XPU (Intel GPUs) Enhancements
bot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botfeatureA request for a proper, new feature.A request for a proper, new feature.module: performanceIssues related to performance, either of kernel code or framework glueIssues related to performance, either of kernel code or framework gluemodule: xpuIntel XPU related issuesIntel XPU related issuesrelease-feature-requestThis tag is to mark Feature Tracked for PyTorch OSS ReleasesThis tag is to mark Feature Tracked for PyTorch OSS ReleasestriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.torch.remainder gives a zero result the sign of the dividend, not the divisor as documented
bot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlymodule: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)Status: Open.#193755 In pytorch/pytorch;floor_divide on float16/bfloat16 depends on tensor length, and the vectorized result can exceed the quotient
bot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlymodule: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)module: halfRelated to float16 half-precision floatsRelated to float16 half-precision floatsmodule: vectorizationRelated to SIMD vectorization, e.g., Vec256Related to SIMD vectorization, e.g., Vec256Status: Open.#193754 In pytorch/pytorch;torch.fmod and torch.remainder return NaN on the vectorized path where the scalar path is correct (the fmod half of #77742)
bot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlymodule: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)module: edge casesAdversarial inputs unlikely to occur in practiceAdversarial inputs unlikely to occur in practicemodule: NaNs and InfsProblems related to NaN and Inf handling in floating pointProblems related to NaN and Inf handling in floating pointmodule: sleefProblems related to SLEEF supportProblems related to SLEEF supportmodule: vectorizationRelated to SIMD vectorization, e.g., Vec256Related to SIMD vectorization, e.g., Vec256Status: Open.#193753 In pytorch/pytorch;- Status: Open.#193752 In pytorch/pytorch;
- Status: Open.#193751 In pytorch/pytorch;
Investigate whether the trunk-rocm-sandbox shadow workflow is still needed
module: rocmAMD GPU support for PytorchAMD GPU support for PytorchStatus: Open.#193749 In pytorch/pytorch;Investigate SymmetricMemoryTest.test_subgroup hipErrorInvalidValue on MI300
bot-triagedThis is a label only to be used by the auto triage botThis is a label only to be used by the auto triage botoncall: distributedAdd this issue/PR to distributed oncall triage queueAdd this issue/PR to distributed oncall triage queueoncall: distributed infraAdd this issue/PR to distributed infra oncall triage queueAdd this issue/PR to distributed infra oncall triage queuetriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#193747 In pytorch/pytorch;