获取tensor shape共有三中方式:x.shape、x.get_shape()、tf.shape(x) x.shape:返回TensorShape类型,可以直接看到shape,打印出来的形式如:(3, 5)。注意x必须是tensor类型才能调用; x.get_shape():同x.shape,是获取x的shape属性的函数; tf.shape(x):返回的是Tensor类型,不能直接看到shape,只能看到shape的维...
What is the TensorFlow get_shape function? TensorFlow has a built-in functionget_shape()that returns the tensor shape on which it is called. In simpler words, if you have created a tensor containing values and want to know its dimension or size, call the TensorFlowget_shapefunction on that...
shape 和 get_shape 返回元组,故无需 Session,可直接获取; 而tf.shape 返回 Tensor,需要 Session 【只有返回 Tensor 才需要 Session】 2. 适用对象不同 tf.shape 适用于 Tensor,还有 ndarray,list; shape 适用于 Tensor,还有 ndarray; get_shape 只适用于 Tensor; 代码如下 ### tf.shape ### 用函数获取,...
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()) print(c_tensor.get_shape().as_list()) with tf.Session() ...
reshape(pool_3, shape=[batch_size, -1]) # 因为上一层是卷积的输出是四个维度 # 但是全连接的维度只有两个,因此 卷积额输出会被提前reshape为 # 两个维度 dim = reshape.get_shape()[1].value local_1 = local_layer(names = 'local1_scope', input = reshape , w_shape = [dim, 64], b_...
get_shape()) Print: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 === get shape === tensor : Tensor("Placeholder:0", shape=(200, 200, 3), dtype=float32) tensor.shape : (200, 200, 3) tensor.get_shape() : (200, 200, 3) 获取ndim 代码语言:javascript 代码运行次数:0 ...
1.get_shape()与shape get_shape():返回一个代表 input 的 shape 的 1-D tensor,需要session.run() .shape:返回一个tf.TensorShape的类,代表当前tensor的shape,不需要运行计算图就可以获得shape的信息。会比get_shape()略微慢一点。 三、维度操作 ...
from tensorflow.python import pywrap_tensorflow checkpoint_path = os.path.join(model_dir, "model.ckpt") reader = pywrap_tensorflow.NewCheckpointReader(checkpoint_path) #tf.train.NewCheckpointReader var_to_shape_map = reader.get_variable_to_shape_map() for key in var_to_shape_map: print("ten...
tensorflow 如何看shape 输入: x= tf.truncated_normal([32, 32, 3], dtype=tf.float32) print(tf.shape(x)) print(x.get_shape()) print(x.get_shape().as_list()) 1. 2. 3. 4. 5. 输出: Tensor("Shape:0", shape=(3,), dtype=int32)...
defbinary_dice(Y_pred, Y_gt):smooth =1.e-5smooth_tf = tf.constant(smooth, tf.float32)pred_flat = tf.cast(Y_pred, tf.float32)true_flat = tf.cast(Y_gt, tf.float32)Z, H, W, C = Y_gt.get_shape().as_list()...