tensorflow - 如何在TensorFlow中的TensorProto中访问tensor_content值？

Question

与How to access values in protos in TensorFlow?类似，但不适合这种情况。

我在TensorProto中看到了bytes tensor_content属性。我正在尝试通过以下方式获取有关节点的信息:

for node in tf.get_default_graph().as_graph_def().node:
node.attr['value'].tensor.tensor_content # decode these bytes

有关信息，节点的打印看起来像这样:

name: "conv2d/convolution/Shape"
op: "Const"
device: "/device:GPU:0"
attr {
  key: "dtype"
  value {
    type: DT_INT32
  }
}
attr {
  key: "value"
  value {
    tensor {
      dtype: DT_INT32
      tensor_shape {
        dim {
          size: 4
        }
      }
      tensor_content: "\003\000\000\000\003\000\000\000\001\000\000\000 \000\000\000"
    }
  }
}

Answer 1

from tensorflow.python.framework import tensor_util

for n in tf.get_default_graph().as_graph_def().node:
    print tensor_util.MakeNdarray(n.attr['value'].tensor)