fix:support np.array in traverse and optimize some log

.github/workflows/tests.yml

@@ -26,11 +26,20 @@ jobs:
         with:
           python-version: '3.10'
           cache: 'pip'
+      - name: Clean system disk space
+        run: |
+          sudo apt-get clean
+          sudo rm -rf /var/lib/apt/lists/*
+          echo "Disk space after cleanup:"
+          df -h /
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
           pip install -e .[full]
           make install
+          pip cache purge
+          sudo apt-get clean
+          sudo rm -rf /var/lib/apt/lists/*
       - name: Run tests
         run: make test
       - name: Upload coverage report

padiff/abstracts/hooks/hook.py

@@ -139,6 +139,9 @@ def info_hook(model, input, output, net_id):
 
     # if this api is not processing tensors, do not create report
     if output is None or all([not isinstance(x, (paddle.Tensor, torch.Tensor)) for x in flatten(output)]):
+        logger.warning_once(
+            f"All outputs of {model.__class__.__name__} are not tensors. Skip capturing these outputs."
+        )
         return None
 
     # if an api under black_list_recursively, do not create report

padiff/tools/dump.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from collections import defaultdict
 import json
 import os
 import sys
@@ -130,6 +131,8 @@ def dump_report_node(wrap_node, tensor_dumper):
 
 
 def dump_param_prototype(model, dump_fn, file_path):
+    skiped_layers = defaultdict(list)
+
     def dump_param_with_fn(model, fn, target_models):
         param_info = {
             "name": model.class_name,
@@ -150,7 +153,7 @@ def dump_param_with_fn(model, fn, target_models):
                 if buffer_name not in params_found:
                     fn(buffer_name, buffer, param_info)
         else:
-            logger.debug(f"Layer {model.class_name} ({model.route}) is NOT in target_models. Skipping.")
+            skiped_layers[model.class_name].append(model.route)
 
         for name, child in model.named_children():
             param_info["children"].append(dump_param_with_fn(child, fn, target_models))
@@ -159,6 +162,11 @@ def dump_param_with_fn(model, fn, target_models):
     target_models = [layer.model for layer in model.marker.traversal_for_assign_weight()]
     param_info = dump_param_with_fn(model, dump_fn, target_models)
 
+    logger.debug_once("Params dump SKIPPED: Some layers have no available parameters(like weights).\n")
+    for model_name, routes in skiped_layers.items():
+        routes_str = "\n".join([f"    {route}" for route in routes])
+        logger.debug(f"Params dump SKIPPED: {model_name}.\nIncluded routes:\n{routes_str}")
+
     model_info = {
         "model_name": model.name,
         "framework": model.framework,

padiff/utils/utils.py

@@ -144,6 +144,10 @@ def traverse(structure, on_leaf, on_container=None):
     if isinstance(structure, (paddle.Tensor, torch.Tensor)):
         return on_leaf(structure)
 
+    # numpy
+    if isinstance(structure, np.ndarray):
+        return on_leaf(structure)
+
     # namedtuple
     if hasattr(structure, "_fields"):
         result = type(structure)(