tf2onnx error

[WangHHY19931001]

env：

windows 10 pro
python 3.10

pip install tf2onnx tensorflow
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: tf2onnx in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (1.16.1)
Requirement already satisfied: tensorflow in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (2.19.1)
Requirement already satisfied: numpy>=1.14.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tf2onnx) (2.1.3)
Requirement already satisfied: onnx>=1.4.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tf2onnx) (1.17.0)
Requirement already satisfied: requests in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tf2onnx) (2.32.5)
Requirement already satisfied: six in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tf2onnx) (1.17.0)
Requirement already satisfied: flatbuffers>=1.12 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tf2onnx) (25.9.23)
Requirement already satisfied: protobuf~=3.20 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tf2onnx) (3.20.3)
Requirement already satisfied: absl-py>=1.0.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (2.3.1)
Requirement already satisfied: astunparse>=1.6.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (1.6.3)
Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (0.6.0)
Requirement already satisfied: google-pasta>=0.1.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (0.2.0)
Requirement already satisfied: libclang>=13.0.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (18.1.1)
Requirement already satisfied: opt-einsum>=2.3.2 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (3.4.0)
Requirement already satisfied: packaging in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (25.0)
Requirement already satisfied: setuptools in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (78.1.1)
Requirement already satisfied: termcolor>=1.1.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (3.1.0)
Requirement already satisfied: typing-extensions>=3.6.6 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (4.15.0)
Requirement already satisfied: wrapt>=1.11.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (1.17.3)
Requirement already satisfied: grpcio<2.0,>=1.24.3 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (1.75.0)
Requirement already satisfied: tensorboard~=2.19.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (2.19.0)
Requirement already satisfied: keras>=3.5.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (3.11.3)
Requirement already satisfied: h5py>=3.11.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (3.14.0)
Requirement already satisfied: ml-dtypes<1.0.0,>=0.5.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (0.5.3)
Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorflow) (0.31.0)
Requirement already satisfied: charset_normalizer<4,>=2 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from requests->tf2onnx) (3.4.3)
Requirement already satisfied: idna<4,>=2.5 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from requests->tf2onnx) (3.10)
Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from requests->tf2onnx) (2.5.0)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from requests->tf2onnx) (2025.8.3)
Requirement already satisfied: markdown>=2.6.8 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorboard~=2.19.0->tensorflow) (3.9)
Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorboard~=2.19.0->tensorflow) (0.7.2)
Requirement already satisfied: werkzeug>=1.0.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from tensorboard~=2.19.0->tensorflow) (3.1.3)
Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from astunparse>=1.6.0->tensorflow) (0.45.1)
Requirement already satisfied: rich in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from keras>=3.5.0->tensorflow) (14.1.0)
Requirement already satisfied: namex in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from keras>=3.5.0->tensorflow) (0.1.0)
Requirement already satisfied: optree in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from keras>=3.5.0->tensorflow) (0.17.0)
Requirement already satisfied: MarkupSafe>=2.1.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from werkzeug>=1.0.1->tensorboard~=2.19.0->tensorflow) (3.0.2)
Requirement already satisfied: markdown-it-py>=2.2.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from rich->keras>=3.5.0->tensorflow) (4.0.0)
Requirement already satisfied: pygments<3.0.0,>=2.13.0 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from rich->keras>=3.5.0->tensorflow) (2.19.2)
Requirement already satisfied: mdurl~=0.1 in c:\users\dell\miniconda3\envs\tftoonnx\lib\site-packages (from markdown-it-py>=2.2.0->rich->keras>=3.5.0->tensorflow) (0.1.2)

cov cmd and output：

python -m tf2onnx.convert --tflite best_full_integer_quant.tflite --output best_full_integer_quant.onnx --opset 18
2025-09-25 09:22:55.924642: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2025-09-25 09:22:56.904415: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
WARNING:tensorflow:From C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tf_loader.py:68: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

WARNING:tensorflow:From C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tf_loader.py:72: The name tf.train.import_meta_graph is deprecated. Please use tf.compat.v1.train.import_meta_graph instead.

C:\Users\dell\miniconda3\envs\tftoonnx\lib\runpy.py:126: RuntimeWarning: 'tf2onnx.convert' found in sys.modules after import of package 'tf2onnx', but prior to execution of 'tf2onnx.convert'; this may result in unpredictable behaviour
warn(RuntimeWarning(msg))
2025-09-25 09:23:01.019479: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-25 09:23:01,021 - INFO - Using tensorflow=2.19.1, onnx=1.17.0, tf2onnx=1.16.1/15c810
2025-09-25 09:23:01,021 - INFO - Using opset <onnx, 18>
C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tensorflow\lite\python\interpreter.py:457: UserWarning: Warning: tf.lite.Interpreter is deprecated and is scheduled for deletion in
TF 2.20. Please use the LiteRT interpreter from the ai_edge_litert package.
See the migration guide
for details.

warnings.warn(_INTERPRETER_DELETION_WARNING)
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
2025-09-25 09:23:01,375 - ERROR - rewriter <function rewrite_constant_fold at 0x0000026C541B9000>: exception np.cast was removed in the NumPy 2.0 release. Use np.asarray(arr, dtype=dtype) instead.
Traceback (most recent call last):
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\convert.py", line 714, in
main()
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\convert.py", line 273, in main
model_proto, _ = _convert_common(
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\convert.py", line 168, in convert_common
g = process_tf_graph(tf_graph, const_node_values=const_node_values,
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tfonnx.py", line 464, in process_tf_graph
g = process_graphs(main_g, subgraphs, custom_op_handlers, inputs_as_nchw, outputs_as_nchw, continue_on_error,
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tfonnx.py", line 516, in process_graphs
g = process_parsed_graph(main_g, custom_op_handlers, inputs_as_nchw, outputs_as_nchw, continue_on_error,
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tfonnx.py", line 616, in process_parsed_graph
run_rewriters(g, rewriters, continue_on_error)
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tfonnx.py", line 384, in run_rewriters
raise ex
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tfonnx.py", line 375, in run_rewriters
ops = func(g, g.get_nodes())
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\tf2onnx\tfonnx.py", line 77, in rewrite_constant_fold
"Cast": np.cast,
File "C:\Users\dell\miniconda3\envs\tftoonnx\lib\site-packages\numpy_init.py", line 413, in getattr
raise AttributeError(
AttributeError: np.cast was removed in the NumPy 2.0 release. Use np.asarray(arr, dtype=dtype) instead.