tf.convert_to_tensor(value,dtype=None,dtype_hint=None=None) 该函数将各种类型的Python对象转换为张量对象。它接受张量对象、数字数组、Python列表和Python标量。 例: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importnumpyasnp defmy_func(arg):arg=tf.convert_to_tensor(arg,dtype=tf.float32)retu...
#将python的数据类型(列表和矩阵)转换成TensorFlow可用的tensor数据类型importtensorflowastfimportnumpyasnpA= [1,2,3]B= np.array([1,2,3])C= tf.convert_to_tensor(A)D= tf.convert_to_tensor(B)print(type(A),A)print(type(B),B)print(type(C),C)print(type(D),D)结果<class'list'> [1,2...
简介:【8月更文挑战第11天】利用tf.convert_to_tensor转换为类型。 从numpy,list对象创建,再利用tf.convert_to_tensor转换为类型。 将给定制转换为张量。可利用这个函数将python的数据类型转换成TensorFlow可用的tensor数据类型。 tf.convert_to_tensor(value,dtype=None,dtype_hint=None,name=None): value:需...
该函数将各种类型的Python对象转换为张量对象。它接受张量对象、数字数组、Python列表和Python标量。例如: import numpy as np def my_func(arg): arg = tf.convert_to_tensor(arg, dtype=tf.float32) return tf.matmul(arg, arg) + arg # The following calls are equivalent. value_1 = my_func(tf.cons...
Python convert_to_tensor¶ dragon.vm.tensorflow.convert_to_tensor( value, dtype=None, name=None )[source]¶ Convertthegivenvaluetoatensor. Examples: x=tf.convert_to_tensor([1,2])y=tf.constant([1,2])# Equivalent ...
tf.convert_to_tensor import tensorflow as tf import numpy as np def my_func(arg): arg = tf.convert_to_tensor(arg, dtype=tf.float32) return arg # The following calls are equivalent. value_1 = my_func(tf.constant([[1.0, 2.0], [3.0, 4.0]]))...
代码:下面将np.array格式的数据转换为tensor格式,并使用sess.run进行运行 #4.使用tf.convert_to_tensor将数据转换为tensorimportnumpy as np x= np.array([1, 2, 3]) t=tf.convert_to_tensor(x) with tf.Session() as sess:print(sess.run(t)) ...
So here, machine learning models were built using TensorFlow, which required data in tensor format. so to convert that Python list into a tensor, I usedtf.convert_to_tensor()function. I successfully converted the data into a tensor and fed it to the model, so in this tutorial, I will ...
https://www.tensorflow.org/api_docs/python/tf/device Description of issue (what needs changing): At least on 2.3.0, it seems to me that import numpy.random as npr import tensorflow as tf with tf.device("GPU"): A=tf.convert_to_tensor(npr.randn(500)) will create an eager tensor A...
File "C:\Users\Acer\Anaconda3\lib\site-packages\tensorflow_core\python\framework\op_def_library.py", line 545, in _apply_op_helper (input_name, err)) ValueError: Tried to convert 'y' to a tensor and failed. Error: None values not supported. ...