v4.3.3 update. (#2868)

media/docs/pythonDSL/cute_dsl_general/dsl_jit_caching.rst

@@ -128,7 +128,7 @@ Here is an example demonstrating automatic caching of the ``add`` kernel:
 The cache can be serialized to files for subsequent runs.
 After serialization, compiled MLIR bytecode is stored in file.
 The cache directory is ``/tmp/{current_user}/cutlass_python_cache``.
-The cache loads from files into memory during |DSL| initialization and saves back to files when the process exits.
+During compilation, the cache loads the corresponding kernel from file (if it exists) into memory as needed, and after compilation, it saves any newly compiled executables back to file.
 
 Note that for efficiency, the default cache directory is located in a temporary folder. However, this location is not persistent, it may be cleared by the system (for example, during a reboot or disk space cleanup).
 If you wish to preserve the cache across sessions, set the ``CUTE_DSL_CACHE_DIR`` environment variable to point to a persistent directory.
@@ -140,9 +140,6 @@ The following environment variables control file caching:
    # Disable file caching while keeping in-memory cache available, defaults to False.
    export CUTE_DSL_DISABLE_FILE_CACHING=True
 
-   # Maximum number of cache files allowed, defaults to 1000.
-   export CUTE_DSL_FILE_CACHING_CAPACITY=1000
-
    # Cache directory, defaults to /tmp/{current_user}/cutlass_python_cache.
    export CUTE_DSL_CACHE_DIR=/home/user/local_cutlass_python_cache/dense_gemm_cache/