fix embedding sparsity log bug of -1% density (microsoft#20420)

### Description
When not checked valid embedding sparsity, the log print a wrong info of
"-1% density", this pr is to fix it.

orttraining/orttraining/python/training/ortmodule/_graph_execution_manager.py

@@ -706,11 +706,12 @@ def _embedding_hook(module, args, output):
             valid_token = torch.count_nonzero(ebd_input - module.padding_idx)
             total_token = ebd_input.numel()
             embed_density = float(valid_token) / float(total_token) * 100
+            if module not in self._runtime_inspector._embedding_module_to_padding_density_map:
+                self._logger.warning("Found Embedding module not in the map. %s", module)
+                return None
+
             if embed_density < 90:
                 self._logger.info("Embedding sparsity-based optimization is ON for density: %.0f%%", embed_density)
-                if module not in self._runtime_inspector._embedding_module_to_padding_density_map:
-                    self._logger.warning("Found Embedding module not in the map. %s", module)
-                    return None
                 if self._runtime_inspector._embedding_module_to_padding_density_map[module][1] != -1:
                     self._logger.warning(
                         "Found duplicate Embedding module. %s",
@@ -794,6 +795,7 @@ def _enable_conditional_optimizations(
                         [
                             f"{v[0]}:{v[1]:.0f}%"
                             for v in self._runtime_inspector._embedding_module_to_padding_density_map.values()
+                            if v[1] != -1
                         ]
                     )
 

orttraining/orttraining/test/python/orttraining_test_ortmodule_api.py

@@ -5776,19 +5776,25 @@ def run_step(model, input, positions):
     _ = run_step(ort_model, input, label)
 
     found_embed_is_sparse = False
+    found_embed_is_dense = False
     found_label_is_sparse = False
     for record in caplog.records:
         if "Label sparsity-based optimization is ON for" in record.getMessage():
             found_label_is_sparse = True
 
+        if "Embedding sparsity-based optimization is OFF for" in record.getMessage():
+            found_embed_is_dense = True
+
         if "Embedding sparsity-based optimization is ON for" in record.getMessage():
             found_embed_is_sparse = True
 
     if label_is_sparse:
         assert found_label_is_sparse
 
     if embed_is_sparse:
-        assert found_embed_is_sparse
+        assert found_embed_is_sparse and not found_embed_is_dense
+    else:
+        assert not found_embed_is_sparse and found_embed_is_dense
 
 
 @pytest.mark.parametrize(