tensorflow之get_shape tf.shape()很显然这个是获取张量的大小的 x.get_shape(),只有tensor才可以使用这种方法,返回的是一个元组 代码示例 a_array=np.array([[1,2,3],[4,5,6]]) b_list=[[1,2,3],[3,4,5]] c_tensor=tf.constant([[1,2,3],[4,5,6]]) print(c_tensor.get_shape()) ...
Look at the output. When you call TensorFlowget_shapeon thetensor_data, it returns the tuple values(2, 3), the tensor’s shape. Let’s understand the returned shape in tuple(2, 3). The tuple(2, 3)denotes the shape of a 2-dimensional tensor or matrix in TensorFlow. To determine dim...
import tensorflow as tf x = tf.placeholder(shape=[None, 256, 256, 1], dtype=tf.float32) print(tf.shape(x)) print(x.get_shape()) 1. 2. 3. 4. 5. 结果: 显然,tf.shape()得到的是x的维度,比如这里是4为的Tensor x.get_shape()得到的是元组表示的shape,包含每一个维度...
" : num_outputs: The number of output that the new tensor should be.\n", " : return: A 2-D tensor where the second dimension is num_outputs.\n", " \"\"\"\n", " x_tensor_shape = x_tensor.get_shape().as_list()[1:][0]\n", " print(type(x_tensor.get_shape()[-1])...
TensorTensorFlow 程序使用 tensor 数据结构来代表所有的数据, 计算图中, 操作间传递的数据都是 tensor.你可以把 TensorFlow tensor 看作是一个 n 维的数组或列表. 一个 tensor 包含一个静态类型 rank, 和一个shape. 想了解 TensorFlow 是如何处理这些概念的, 参见Rank, Shape, 和 Type.变量Variables for more ...
Microsoft.ML.TensorFlow.dll 套件: Microsoft.ML.TensorFlow v3.0.1 傳SchemaShape回由轉換器產生之架構的 。 用於管線中的架構傳播和驗證。 C# publicMicrosoft.ML.SchemaShapeGetOutputSchema(Microsoft.ML.SchemaShape inputSchema); 參數 inputSchema SchemaShape ...
dtype: It defines the datatype of the input tensor. initializer: If a variable initializer is created, it will be used. can either be a Tensor or an initializer object. Its shape must be known if it’s a Tensor unless the validated shape is False. ...
Just for your reference, the initializer argument has to be either a TensorFlow Tensor object (which can be constructed by calling tf.constant on a numpy value in your case),或者一个带有两个参数的’callable’, shape 和dtype ,它应该返回的值的形状和数据类型。同样,在您的情况下,如果您想使用...
package com.huixin; import java.util.*; /** * 根据对象属性字段给list集合去重 * * @...
File "/usr/local/lib/python2.7/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 22, in <module> serialized_pb=_b('\n,tensorflow/core/framework/tensor_shape.proto\x12\ntensorflow\"d\n\x10TensorShapeProto\x12-\n\x03\x64im\x18\x02 \x03(\x0b\x32 .tensorflow.Tensor...