fixed bugs

cpp/src/wholememory/embedding_optimizer.cpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2023, NVIDIA CORPORATION.
+ * Copyright (c) 2019-2024, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -80,7 +80,6 @@ wholememory_tensor_t embedding_optimizer_impl_base::get_optimizer_state(
   WHOLEMEMORY_CHECK_NOTHROW(optimizer_state != nullptr);
   WHOLEMEMORY_CHECK_NOTHROW(state_names_.size() == optimizer_state->cachable_states.size() +
                                                      optimizer_state->uncachable_states.size() + 1);
-  WHOLEMEMORY_FAIL_NOTHROW("optimizer state name %s not found for %s", state_name, name_);
   for (size_t i = 0; i < optimizer_state->cachable_states.size(); i++) {
     if (strcmp(state_name, optimizer_state->cachable_states[i].name.c_str()) == 0) {
       WHOLEMEMORY_CHECK_NOTHROW(strcmp(state_name, state_names_[i]) == 0);
@@ -94,6 +93,7 @@ wholememory_tensor_t embedding_optimizer_impl_base::get_optimizer_state(
       return optimizer_state->uncachable_states[i].global_raw_sub_tensor;
     }
   }
+  WHOLEMEMORY_FAIL_NOTHROW("optimizer state name %s not found for %s", state_name, name_);
   return nullptr;
 }
 

python/pylibwholegraph/pylibwholegraph/binding/wholememory_binding.pyx

@@ -828,9 +828,10 @@ cdef class PyWholeMemoryEmbedding:
         result = []
         cdef const char * const * state_names
         state_names = wholememory_embedding_get_optimizer_state_names(self.wm_embedding)
-        while state_names[i] != NULL:
-            result.append(<object> PyUnicode_FromString(state_names[i]))
-            i += 1
+        if state_names != NULL:
+            while state_names[i] != NULL:
+                result.append(<object> PyUnicode_FromString(state_names[i]))
+                i += 1
         return result
 
     def get_optimizer_state(self,

python/pylibwholegraph/pylibwholegraph/torch/embedding.py

@@ -267,7 +267,7 @@ def __init__(
         super().__init__()
         self.wmb_embedding = wmb_embedding
         self.embedding_tensor = None
-        self.optimizer_states = None
+        self.optimizer_states = dict()
 
         self.wmb_optimizer = wmb_optimizer
         self.wmb_cache_policy = wmb_cache_policy