Warn when more than N recompile is triggered.

[kshitij12345]

import thunder
import torch

def foo(x, y):
    return x + y

tfoo = thunder.jit(foo)
tcfoo = torch.compile(foo, dynamic=False)

x = torch.randn(10)

for i in range(10):
    tfoo(x, i)
    tcfoo(x, i)

print("Cache Misses:", thunder.cache_misses(tfoo))

Output

W1021 10:44:18.989000 2926727 torch/_dynamo/convert_frame.py:1355] [0/8] torch._dynamo hit config.recompile_limit (8)
W1021 10:44:18.989000 2926727 torch/_dynamo/convert_frame.py:1355] [0/8]    function: 'foo' (/opt/pytorch/lightning-thunder/test_thunder_recompile.py:4)
W1021 10:44:18.989000 2926727 torch/_dynamo/convert_frame.py:1355] [0/8]    last reason: 0/7: y == 7                                                   # return x + y  # pt/pytorch/lightning-thunder/test_thunder_recompile.py:5 in foo
W1021 10:44:18.989000 2926727 torch/_dynamo/convert_frame.py:1355] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
W1021 10:44:18.989000 2926727 torch/_dynamo/convert_frame.py:1355] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html

Cache Misses: 10

It would be nice if thunder will also warn when there are a lot of recompiles.