如何读取静态图的权重的值和名字？

[LitLeo]

请提出你的问题 Please ask your question

有一个静态图模型，两个文件，model__和__params，如何获得其中权重的值和名字呢？

类似onnx model.graph.initializer 的功能？

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[ghostxsl]

可以参考：#26519

[LitLeo]

翻了一圈代码摸索出来了

import paddle
import numpy as np

paddle.enable_static()

exe = paddle.static.Executor(paddle.CPUPlace())
path_prefix = "./paddle_infer_model"

[inference_program, feed_target_names, fetch_targets] = (
            paddle.static.load_inference_model(path_prefix, exe, model_filename="__model__", params_filename="__params__"))

# import pdb
# pdb.set_trace()

state_dict = inference_program.state_dict()

for i in state_dict:
    print(i)
    arr = np.array(state_dict[i])
    print(arr.shape)
    print(arr)
    assert 0