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qta and export onnx error

module: onnxRelated to torch.onnxRelated to torch.onnx

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

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 module

Status: Open.

#164116 In pytorch/pytorch;

· WangHHY19931001 opened on Sep 29, 2025

CPU dynamic quantization (qint8) cannot be used with multiprocessing

module: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#163052 In pytorch/pytorch;

· ytinyui opened on Sep 16, 2025

heap-buffer-overflow in torch.quantized_max_pool2d via Python API

module: crashProblem manifests as a hard crash, as opposed to a RuntimeErrorProblem manifests as a hard crash, as opposed to a RuntimeError

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#162476 In pytorch/pytorch;

· cx104906 opened on Sep 9, 2025

<code>dequantize_per_channel</code> in <code>quantized_decomposed</code> not compatible with Float8 types

module: floatx (formerly float8)For torch.float8_e5m2 and torch.float8_e4m3 and other sub 8-bit float typesFor torch.float8_e5m2 and torch.float8_e4m3 and other sub 8-bit float types

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#160651 In pytorch/pytorch;

· heglex opened on Aug 14, 2025

torch.quantize_per_tensor not implemented for SparseCPU tensors

module: sparseRelated to torch.sparseRelated to torch.sparse

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#160631 In pytorch/pytorch;

· springcrane opened on Aug 14, 2025

NotImplementedError: Could not run 'aten::q_scale' with arguments from the 'CPU'

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#159743 In pytorch/pytorch;

· djxnqp opened on Aug 4, 2025

Cannot pass through None for example_inputs in prepare_fx

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#159505 In pytorch/pytorch;

· rjgleaton opened on Jul 30, 2025

[dynamo] Missing meta kernel for <code>aten::quantize_per_tensor.tensor_qparams</code>

module: dynamo

oncall: pt2

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

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 module

Status: Open.

#157729 In pytorch/pytorch;

· StrongerXi opened on Jul 7, 2025

PT2E Quantization Migration Tracker

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

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 module

Status: Open.

#157591 In pytorch/pytorch;

· jerryzh168 opened on Jul 3, 2025

ConvertTritonGPUToLLVM pass fails on fused GroupNorm backward (SM 89) under torch.compile(…, backend='inductor')

oncall: cpu inductorCPU Inductor issues for Intel team to triageCPU Inductor issues for Intel team to triage

oncall: pt2

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

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 module

Status: Open.

#156549 In pytorch/pytorch;

· AK-1996 opened on Jun 21, 2025

intmm is being compiled inconsistently with errors.

module: inductor

oncall: pt2

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

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 module

Status: Open.

#155838 In pytorch/pytorch;

· HDCharles opened on Jun 12, 2025

torch.quantized_batch_norm API return different output when input is nan/inf or undefined mathematical calculation method

module: NaNs and InfsProblems related to NaN and Inf handling in floating pointProblems related to NaN and Inf handling in floating point

needs reproductionEnsure you have actionable steps to reproduce the issue. Someone else needs to confirm the repro.Ensure you have actionable steps to reproduce the issue. Someone else needs to confirm the repro.

oncall: quantizationQuantization support in PyTorchQuantization support in PyTorch

Status: Open.

#154708 In pytorch/pytorch;

· yjmyl opened on May 30, 2025