torch.nn.functional.pad() with value type bool

🐛 Describe the bug

@torch.jit.script
def fn():
    a = torch.zeros(10, dtype=torch.bool)
    a = F.pad(a, (1,1), value=True)
    return a

Error:

aten::pad(Tensor self, SymInt[] pad, str mode="constant", float? value=None) -> Tensor:
Expected a value of type 'Optional[float]' for argument 'value' but instead found type 'bool'.
:
  File ..., line ...
def fn():
    a = torch.zeros(10, dtype=torch.bool)
    a = F.pad(a, (1,1), value=True)
        ~~~~~ <--- HERE
    return a

Versions

Collecting environment information... PyTorch version: 2.0.1+cu117 Is debug build: False CUDA used to build PyTorch: 11.7 ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.2 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: 14.0.0-1ubuntu1.1 CMake version: version 3.27.1 Libc version: glibc-2.35

Python version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit runtime) Python platform: Linux-6.2.0-26-generic-x86_64-with-glibc2.35 Is CUDA available: False CUDA runtime version: No CUDA CUDA_MODULE_LOADING set to: N/A GPU models and configuration: No CUDA Nvidia driver version: No CUDA cuDNN version: No CUDA HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 45 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Vendor ID: GenuineIntel Model name: 11th Gen Intel(R) Core(TM) i9-11950H @ 2.60GHz CPU family: 6 Model: 141 Thread(s) per core: 1 Core(s) per socket: 1 Socket(s): 8 Stepping: 1 BogoMIPS: 5222.40 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology tsc_reliable nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512vbmi umip avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid fsrm avx512_vp2intersect flush_l1d arch_capabilities Hypervisor vendor: VMware Virtualisation type: full L1d cache: 384 KiB (8 instances) L1i cache: 256 KiB (8 instances) L2 cache: 10 MiB (8 instances) L3 cache: 192 MiB (8 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-7 Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Mitigation; PTE Inversion Vulnerability Mds: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Not affected Vulnerability Retbleed: Mitigation; IBRS Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; IBRS, IBPB conditional, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] numpy==1.24.4 [pip3] pytorch-lightning==2.0.6 [pip3] recurrent-memory-transformer-pytorch==0.5.3 [pip3] torch==2.0.1 [pip3] torchaudio==2.0.2 [pip3] torchmetrics==1.0.3 [pip3] triton==2.0.0 [conda] Could not collect

cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel

pytorch / pytorch

torch.nn.functional.pad() with value type bool #108226

🐛 Describe the bug

Versions