RSDK-9590 - upgrade numpy (#805)

.github/workflows/update_protos.yml

@@ -18,7 +18,7 @@ jobs:
       - uses: arduino/setup-protoc@v3
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
-          version: "28.2"
+          version: "29.1"
 
       - name: Install uv
         uses: astral-sh/setup-uv@v3

Makefile

@@ -16,7 +16,7 @@ buf: clean
 	rm -rf src/viam/gen
 	chmod +x plugin/main.py
 	uv pip install protoletariat
-	uv pip install protobuf --upgrade
+	uv pip install protobuf==5.29.1
 	$(eval API_VERSION := $(shell grep 'API_VERSION' src/viam/version_metadata.py | awk -F '"' '{print $$2}'))
 	buf generate buf.build/viamrobotics/api:${API_VERSION}
 	buf generate buf.build/viamrobotics/goutils

pyproject.toml

@@ -13,7 +13,7 @@ dynamic = [
 dependencies = [
     "googleapis-common-protos>=1.65.0",
     "grpclib>=0.4.7",
-    "protobuf==5.28.2",
+    "protobuf==5.29.1",
     "typing-extensions>=4.12.2",
 	"pymongo>=4.10.1"
 ]
@@ -47,7 +47,7 @@ dev-dependencies = [
 	"myst-nb>=1.0.0; python_version>='3.9'",
 	"nbmake>=1.5.4",
 	"numpy<1.25.0; python_version<'3.9'",
-	"numpy>=1.26.2,<2; python_version>='3.9'",
+	"numpy>=1.26.2; python_version>='3.9'",
 	"pillow>=10.4.0",
 	"pyright>=1.1.382.post1",
 	"pytest-asyncio>=0.24.0",

src/viam/services/mlmodel/utils.py

@@ -1,4 +1,5 @@
 from typing import Dict
+from packaging.version import Version
 
 import numpy as np
 from numpy.typing import NDArray
@@ -37,7 +38,16 @@ def make_ndarray(flat_data, dtype, shape):
         """Takes flat data (protobuf RepeatedScalarFieldContainer | bytes) to output an ndarray
         of appropriate dtype and shape"""
         make_array = np.frombuffer if dtype == np.int8 or dtype == np.uint8 else np.array
-        return make_array(flat_data, dtype).reshape(shape)
+        # As per proto, int16 and uint16 are stored as uint32. As of numpy v2, this creates
+        # some strange interactions with negative values for int16. Specifically, we end up
+        # trying to create an np.Int16 value with an out of bounds int due to rollover.
+        # Creating our array as a uint32 array initially and then casting to int16 solves this.
+        if Version(np.__version__) >= Version("2") and dtype == np.int16:
+            arr = np.astype(make_array(flat_data, np.uint32), np.int16) # pyright: ignore [reportAttributeAccessIssue]
+
+        else:
+            arr = make_array(flat_data, dtype)
+        return arr.reshape(shape)
 
     ndarrays: Dict[str, NDArray] = dict()
     for name, flat_tensor in flat_tensors.tensors.items():