qnn end to end flow for stories model (#3038)

Summary:
Pull Request resolved: https://github.com/pytorch/executorch/pull/3038

Patch a few changes including:
- support bool tensor type
- support fp16 and fix the 8w8a quantization.
- add two non-supported ops (slice_scatter and index_put) in common_defs.py

stories model working end to end:
AOT:
fp16:
```
python -m examples.models.llama2.export_llama -kv --qnn -c stories110M.pt -p params.json
```
quantize:
```
python -m examples.models.llama2.export_llama -kv --qnn --pt2e_quantize qnn_8a8w -c stories110M.pt -p params.json
```

Runtime:
```
/llama_main --model_path=llama2_fp16_qnn_2.21.pte  --tokenizer_path=tokenizer.bin --prompt="Once"
```
Output:
```
Once upon a time, there was a little girl named Lily. She loved to play outside and explore the world around her. One day, she went on a walk with her mommy and they found a beautiful landscape with lots of trees and flowers.
Lily said, "Mommy, this place is so pretty! Can we take a picture?"
Mommy replied, "Of course, Lily! Let's take a picture to remember the original place we found."
After they took the picture, they continued their walk and saw a bird flying in the sky. Lily said, "MomPyTorchObserver {"prompt_tokens":2,"generated_tokens":125,"model_load_start_ms":1713226585936,"model_load_end_ms":1713226586909,"inference_start_ms":1713226586909,"inference_end_ms":1713226590363,"prompt_eval_end_ms":1713226586966,"first_token_ms":1713226586994,"aggregate_sampling_time_ms":23,"SCALING_FACTOR_UNITS_PER_SECOND":1000}
I 00:00:04.436699 executorch:runner.cpp:414] 	Prompt Tokens: 2    Generated Tokens: 125
I 00:00:04.436703 executorch:runner.cpp:420] 	Model Load Time:		0.973000 (seconds)
I 00:00:04.436732 executorch:runner.cpp:430] 	Total inference time:		3.454000 (seconds)		 Rate: 	36.189925 (tokens/second)
I 00:00:04.436735 executorch:runner.cpp:438] 		Prompt evaluation:	0.057000 (seconds)		 Rate: 	35.087719 (tokens/second)
I 00:00:04.436739 executorch:runner.cpp:449] 		Generated 125 tokens:	3.397000 (seconds)		 Rate: 	36.797174 (tokens/second)
I 00:00:04.436742 executorch:runner.cpp:457] 	Time to first generated token:	0.085000 (seconds)
I 00:00:04.436744 executorch:runner.cpp:464] 	Sampling time over 127 tokens:	0.023000 (seconds)
[INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
[INFO] [Qnn ExecuTorch]: Destroy Qnn context
```

Stories model is too small and sensitive to qunatization.
ghstack-source-id: 223199545
exported-using-ghexport

Reviewed By: mergennachin, kirklandsign

Differential Revision: D56119738

fbshipit-source-id: daf5563fe51a677f302e09ae8a9fb80e6bda72c5