TensorFlow – 如何创建 TensorProto

TensorFlow 是由 Google 设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

TensorProto 主要用于生成 numpy 数组。

Function Used:

make_tensor_proto: This function accepts values that need to be put in TensorProto with other optional arguments.

示例 1：

Python3

# importing the library
import tensorflow as tf
  
# Initializing Input
value = tf.constant([1, 15], dtype = tf.float64)
  
# Printing the Input
print("Value: ", value)
  
# Getting TensorProto
res = tf.make_tensor_proto(value)
  
# Printing the resulting tensor
print("Result: ", res)

Python3

# importing the library
import tensorflow as tf
  
# Initializing Input
value = [1, 2, 3, 4]
  
# Printing the Input
print("Value: ", value)
  
# Getting TensorProto
res = tf.make_tensor_proto(value)
  
# Printing the resulting tensor
print("Result: ", res)

输出：

Value:  tf.Tensor([ 1. 15.], shape=(2, ), dtype=float64)
Result:  dtype: DT_DOUBLE
tensor_shape {
  dim {
    size: 2
  }
}
tensor_content: "\000\000\000\000\000\000\360?\000\000\000\000\000\000.@"

示例 2：本示例使用Python数组生成 TensorProto。

Python3

# importing the library
import tensorflow as tf
  
# Initializing Input
value = [1, 2, 3, 4]
  
# Printing the Input
print("Value: ", value)
  
# Getting TensorProto
res = tf.make_tensor_proto(value)
  
# Printing the resulting tensor
print("Result: ", res)

输出：

Value:  [1, 2, 3, 4]
Result:  dtype: DT_INT32
tensor_shape {
  dim {
    size: 4
  }
}
tensor_content: "\001\000\000\000\002\000\000\000\003\000\000\000\004\000\000\000"