Disable cache

mindspore/ccsrc/minddata/dataset/engine/cache/cache_admin.cc

@@ -37,10 +37,12 @@ int main(int argc, char **argv) {
   warningMsg += "WARNING:\n";
   warningMsg += "cache_admin and the cache server that it controls are currently only used for experimental research";
   warningMsg += " purposes at this time.\n";
-  warningMsg += "It is not intended for general availability yet as it may not be stable.  Use it at your own risk.\n";
+  warningMsg += "This command is currently disabled.  Quitting.\n";
 
   // A warning message until the code is mature enough.
   std::cerr << warningMsg << std::endl;
+  // temporary disable cache feature in the current release
+  return 0;
 
   if (argc == 1) {
     args.Help();

mindspore/dataset/engine/cache_client.py

@@ -16,7 +16,7 @@
 """
 
 import copy
-from mindspore._c_dataengine import CacheClient
+# from mindspore._c_dataengine import CacheClient
 
 from ..core.validator_helpers import type_check, check_uint32, check_uint64
 
@@ -38,7 +38,9 @@ class DatasetCache:
         self.hostname = hostname
         self.port = port
         self.prefetch_size = prefetch_size
-        self.cache_client = CacheClient(session_id, size, spilling, hostname, port, prefetch_size)
+        # temporary disable cache feature in the current release
+        # self.cache_client = CacheClient(session_id, size, spilling, hostname, port, prefetch_size)
+        self.cache_client = None
 
     def GetStat(self):
         return self.cache_client.GetStat()

mindspore/dataset/engine/validators.py

@@ -31,7 +31,7 @@ from ..core.validator_helpers import parse_user_args, type_check, type_check_lis
 
 from . import datasets
 from . import samplers
-from . import cache_client
+# from . import cache_client
 from .. import callback
 
 
@@ -56,6 +56,9 @@ def check_imagefolderdataset(method):
         validate_dataset_param_value(nreq_param_dict, param_dict, dict)
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -136,6 +139,9 @@ def check_tfrecorddataset(method):
 
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -389,6 +395,9 @@ def check_random_dataset(method):
 
         check_sampler_shuffle_shard_options(param_dict)
 
+        cache = param_dict.get('cache')
+        check_cache_option(cache)
+
         return method(self, *args, **kwargs)
 
     return new_method
@@ -572,8 +581,7 @@ def check_map(method):
         if num_parallel_workers is not None:
             check_num_parallel_workers(num_parallel_workers)
         type_check(python_multiprocessing, (bool,), "python_multiprocessing")
-        if cache is not None:
-            type_check(cache, (cache_client.DatasetCache,), "cache")
+        check_cache_option(cache)
 
         if callbacks is not None:
             if isinstance(callbacks, (list, tuple)):
@@ -1215,3 +1223,11 @@ def check_paddeddataset(method):
         return method(self, *args, **kwargs)
 
     return new_method
+
+
+def check_cache_option(cache):
+    """Sanity check for cache parameter"""
+    if cache is not None:
+        # temporary disable cache feature in the current release
+        # type_check(cache, (cache_client.DatasetCache,), "cache")
+        raise ValueError("Caching is disabled in the current release")