Repository: pytorch
Issue: bool as scalar in jit ir API not working as expected.
Labels: oncall: jit

### 🐛 Describe the bug

in python code, we support bool literal as scalar, like this

``` python
a = torch.rand(1)
b = torch.clamp_max_(a, True)
```

but in `torch::jit::Graph` c++ API, if we use a bool node as input, then it can't find the candidate

you can test like this, in `test/cpp/jit/test_jit.cpp` 

``` cpp
TEST(IRTest, BoolMatchNumber) {
  Graph g;
  std::vector<Value*> inputs;
  auto t = g.addInput("self");
  t->setType(TensorType::get());
  inputs.push_back(t)
  auto b = g.addInput("max");
  b->setType(BoolType::get());
  inputs.push_back(b);
  Node* n = g.create(Symbol::fromQualString("aten::clamp_max_"), inputs, 1);
  ASSERT_EQ(n->schema().operator_name().name, "aten::clamp_max_");
}
```

the root cause is we define `BoolType` like this  `struct TORCH_API BoolType : public Type` 
which does not inherit from `NumberType`

### Versions

➜ python torch/utils/collect_env.py 
Collecting environment information...
PyTorch version: 2.2.0a0+git48a1237
Is debug build: True
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 14.0.5 (ssh://gerrit.habana-labs.com:29418/tpc_llvm10 ab097983d16bb8cedaa85e13d6123696de35047a)
CMake version: version 3.28.1
Libc version: glibc-2.35

Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-102-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:                      43 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             12
On-line CPU(s) list:                0-11
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) Gold 5220R CPU @ 2.20GHz
CPU family:                         6
Model:                              85
Thread(s) per core:                 1
Core(s) per socket:                 6
Socket(s):                          2
Stepping:                           0
BogoMIPS:                           4389.68
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon nopl xtopology tsc_reliable nonstop_tsc cpuid tsc_known_freq pni pclmulqdq vmx 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 tpr_shadow vnmi ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 invpcid avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xsaves arat pku ospke md_clear flush_l1d arch_capabilities
Virtualization:                     VT-x
Hypervisor vendor:                  VMware
Virtualization type:                full
L1d cache:                          384 KiB (12 instances)
L1i cache:                          384 KiB (12 instances)
L2 cache:                           12 MiB (12 instances)
L3 cache:                           71.5 MiB (2 instances)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0-11
Vulnerability Gather data sampling: Unknown: Dependent on hypervisor status
Vulnerability Itlb multihit:        KVM: Mitigation: VMX disabled
Vulnerability L1tf:                 Mitigation; PTE Inversion; VMX flush not necessary, SMT disabled
Vulnerability Mds:                  Mitigation; Clear CPU buffers; SMT Host state unknown
Vulnerability Meltdown:             Mitigation; PTI
Vulnerability Mmio stale data:      Mitigation; Clear CPU buffers; SMT Host state unknown
Vulnerability Retbleed:             Mitigation; IBRS
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass:    Mitigation; Speculative Store Bypass disabled via prctl and seccomp
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] flake8==7.0.0
[pip3] habana-torch-dataloader==1.16.0+git2cfd41701
[pip3] habana-torch-plugin==1.16.0+git2cfd41701
[pip3] intel-extension-for-pytorch==2.2.0
[pip3] numpy==1.23.5
[pip3] pytorch-lightning==2.2.0.post0
[pip3] torch==2.2.0a0+git7e11024
[pip3] torch-debug==2.2.0a0+git7e11024
[pip3] torch_tb_profiler==0.4.0
[pip3] torchaudio==2.2.0+08901ad
[pip3] torchdata==0.7.1+5e6f7b7
[pip3] torchmetrics==1.3.2
[pip3] torchtext==0.17.0+400da5c
[pip3] torchvision==0.17.0+b2383d4
[pip3] triton==2.2.0
[conda] Could not collect

cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel