## What type of PR is this? (check all applicable)
- [X] Feature
## Have you discussed this change with the InvokeAI team?
- [X] Yes
## Have you updated all relevant documentation?
- [X] Yes
## Description
This PR enhances the logging of performance statistics to include RAM
and model cache information. After each generation, the following will
be logged. The new information follows TOTAL GRAPH EXECUTION TIME.
```
[2023-08-15 21:55:39,010]::[InvokeAI]::INFO --> Graph stats: 2408dbec-50d0-44a3-bbc4-427037e3f7d4
[2023-08-15 21:55:39,010]::[InvokeAI]::INFO --> Node Calls Seconds VRAM Used
[2023-08-15 21:55:39,010]::[InvokeAI]::INFO --> main_model_loader 1 0.004s 0.000G
[2023-08-15 21:55:39,010]::[InvokeAI]::INFO --> clip_skip 1 0.002s 0.000G
[2023-08-15 21:55:39,010]::[InvokeAI]::INFO --> compel 2 2.706s 0.246G
[2023-08-15 21:55:39,010]::[InvokeAI]::INFO --> rand_int 1 0.002s 0.244G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> range_of_size 1 0.002s 0.244G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> iterate 1 0.002s 0.244G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> metadata_accumulator 1 0.002s 0.244G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> noise 1 0.003s 0.244G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> denoise_latents 1 2.429s 2.022G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> l2i 1 1.020s 1.858G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> TOTAL GRAPH EXECUTION TIME: 6.171s
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> RAM used by InvokeAI process: 4.50G (delta=0.10G)
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> RAM used to load models: 1.99G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> VRAM in use: 0.303G
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> RAM cache statistics:
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> Model cache hits: 2
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> Model cache misses: 5
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> Models cached: 5
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> Models cleared from cache: 0
[2023-08-15 21:55:39,011]::[InvokeAI]::INFO --> Cache high water mark: 1.99/7.50G
```
There may be a memory leak in InvokeAI. I'm seeing the process memory
usage increasing by about 100 MB with each generation as shown in the
example above.
Previously the editor was using prop-drilling node data and templates to get values deep into nodes. This ended up causing very noticeable performance degradation. For example, any text entry fields were super laggy.
Refactor the whole thing to use memoized selectors via hooks. The hooks are mostly very narrow, returning only the data needed.
Data objects are never passed down, only node id and field name - sometimes the field kind ('input' or 'output').
The end result is a *much* smoother node editor with very minimal rerenders.
There is a tricky mouse event interaction between chakra's `useOutsideClick()` hook (used by chakra `<Menu />`) and reactflow. The hook doesn't work when you click the main reactflow area.
To get around this, I've used a dirty hack, copy-pasting the simple context menu component we use, and extending it slightly to respond to a global `contextMenusClosed` redux action.
- also implement pessimistic updates for starring, only changing the images that were successfully updated by backend
- some autoformat changes crept in
