upgrade to 7.12

CHANGELOGS.rst

@@ -1,6 +1,12 @@
 Change Logs
 ===========
 
+0.7.12
+++++++
+
+* :pr:`226`: fix input order for models created with modelbuilder
+
+
 0.7.11
 ++++++
 

_doc/conf.py

@@ -122,6 +122,7 @@ def linkcode_resolve(domain, info):
     ("py:class", "CacheProcessor"),
     ("py:class", "default=sklearn.utils.metadata_routing.UNCHANGED"),
     ("py:class", "diffusers.models.unets.unet_2d_condition.UNet2DConditionOutput"),
+    ("py:class", "MambaCache"),
     ("py:class", "ModelProto"),
     ("py:class", "Model"),
     ("py:class", "Module"),

_doc/index.rst

@@ -239,9 +239,8 @@ The function replaces dynamic dimensions defined as strings by
 Older versions
 ==============
 
+* `0.7.12 <../v0.7.12/index.html>`_
 * `0.7.11 <../v0.7.11/index.html>`_
-* `0.7.10 <../v0.7.10/index.html>`_
-* `0.7.9 <../v0.7.9/index.html>`_
 * `0.6.3 <../v0.6.3/index.html>`_
 * `0.5.0 <../v0.5.0/index.html>`_
 * `0.4.4 <../v0.4.4/index.html>`_

_unittests/ut_torch_models/test_validate_whole_models.py

@@ -195,17 +195,18 @@ def test_k_filter_inputs(self):
     @ignore_warnings(FutureWarning)
     @requires_transformers("4.51")
     def test_l_validate_model_modelbuilder(self):
-        mid = "meta-llama/Llama-2-7b-hf"
+        mid = "microsoft/phi-2"
         summary, data = validate_model(
             mid,
             do_run=True,
             verbose=10,
             exporter="modelbuilder",
             dump_folder="dump_test/validate_model_modelbuilder",
+            patch=True,
         )
         self.assertIsInstance(summary, dict)
         self.assertIsInstance(data, dict)
-        self.assertLess(summary["disc_onnx_ort_run_abs"], 1e-2)
+        self.assertLess(summary["disc_onnx_ort_run_abs"], 3e-2)
         onnx_filename = data["onnx_filename"]
         self.assertExists(onnx_filename)
 

onnx_diagnostic/__init__.py

@@ -3,5 +3,5 @@
 Functions, classes to dig into a model when this one is right, slow, wrong...
 """
 
-__version__ = "0.7.11"
+__version__ = "0.7.12"
 __author__ = "Xavier Dupré"

onnx_diagnostic/helpers/rt_helper.py

@@ -41,7 +41,7 @@ def make_feeds(
     """
     # NOTE: position_ids is a special case because ModelBuilder does not usually use it,
     # because it's fued into rotary embedding in GQA.
-    if isinstance(inputs, dict):
+    if is_modelbuilder and isinstance(inputs, dict):
         inputs.pop("position_ids", None)  # Ensure 'position_ids' absent before removing.
 
     flat = flatten_object(inputs, drop_keys=True)
@@ -112,19 +112,23 @@ def reorder_modelbuilder_cache_to_torch(past_kv: List[Any]) -> List[Any]:
     Reorders the past_kvs for ModelBuilder to match the expected order
     by PyTorch exported models.
 
-    NOTE: This function can take either the names or the actual tensors
-    as long as they are in a list.
+    .. note::
+        This function can take either the names or the actual tensors
+        as long as they are in a list.
 
     Conceptually,
 
-    From:
-    [past_key_values.0.key, past_key_values.0.value,
-     past_key_values.1.key, past_key_values.1.value, ...]
-    To:
-    [past_key_values.0.key, past_key_values.1.key,
-     ..., past_key_values.0.value, past_key_values.1.value, ...]
+    From::
 
-    :param flat: list of flattened inputs
+        [past_key_values.0.key, past_key_values.0.value,
+        past_key_values.1.key, past_key_values.1.value, ...]
+
+    To::
+
+        [past_key_values.0.key, past_key_values.1.key,
+        ..., past_key_values.0.value, past_key_values.1.value, ...]
+
+    :param past_kv: list of flattened inputs
     :return: reordered list of flattened inputs
     """
     total_len = len(past_kv)