Merge pull request #32682 from liferoad/numpy-2.0

allow numpy 2.1.x

sdks/python/apache_beam/ml/inference/tensorrt_inference.py

@@ -125,7 +125,7 @@ def __init__(self, engine: trt.ICudaEngine):
     # TODO(https://github.com/NVIDIA/TensorRT/issues/2557):
     # Clean up when fixed upstream.
     try:
-      _ = np.bool  # type: ignore
+      _ = np.bool
     except AttributeError:
       # numpy >= 1.24.0
       np.bool = np.bool_  # type: ignore
@@ -258,7 +258,7 @@ def __init__(
       model_copies: The exact number of models that you would like loaded
         onto your machine. This can be useful if you exactly know your CPU or
         GPU capacity and want to maximize resource utilization.
-      max_batch_duration_secs: the maximum amount of time to buffer 
+      max_batch_duration_secs: the maximum amount of time to buffer
         a batch before emitting; used in streaming contexts.
       kwargs: Additional arguments like 'engine_path' and 'onnx_path' are
         currently supported. 'env_vars' can be used to set environment variables

sdks/python/setup.py

@@ -366,7 +366,7 @@ def get_portability_package_data():
           'jsonpickle>=3.0.0,<4.0.0',
           # numpy can have breaking changes in minor versions.
           # Use a strict upper bound.
-          'numpy>=1.14.3,<1.27.0',  # Update pyproject.toml as well.
+          'numpy>=1.14.3,<2.2.0',  # Update pyproject.toml as well.
           'objsize>=0.6.1,<0.8.0',
           'packaging>=22.0',
           'pymongo>=3.8.0,<5.0.0',