as_list()方法返回一个Python列表,其中包含TensorShape对象中每个维度的大小。这对于需要以列表形式访问张量形状的情况非常有用。 TensorShape对象的主要作用是提供对张量形状的操作和查询。通过使用TensorShape,可以轻松地获取和修改张量的形状信息,以便在模型构建和数据处理过程中进行适当的操作。 TensorShape的分类: Tenso...
可以看到s.shape和x.get_shape()都是返回TensorShape类型对象,而tf.shape(x)返回的是Tensor类型对象。 因此要想获得维度信息,则需要调用TensorShape的ts.as_list()方法,返回的是Python的list: input.shape.as_list()#Out:[2,3] input.get_shape().as_list()#Out:[2,3] 此外,还可以获得维度的个数: in...
" x_tensor_shape = x_tensor.get_shape().as_list()[1:][0]\n", " print(type(x_tensor.get_shape()[-1]))\n", " x_tensor_shape = x_tensor.get_shape()[-1]\n", " weight = tf.Variable(tf.truncated_normal([x_tensor_shape, num_outputs], stddev=0.1))\n", " bias = tf....
tf.shape()返回的是表示维度的行向量, 表示为一个1-D integer tensor, 不能直接转为list; tensor.shape属性或者tensor.get_shape()方法返回的是TensorShape列表(可查看每一维有多少元素) 第四维为batch size, 表示一批图片的数量; 第三维为height, 表示一张图内行向量的数量; 第二维为width, 表示一个行向量内...
我认为你用as_numpy_iterator做了一些不必要的步骤。你的image_dataset_from_directory是一个tf.data....
我认为你用as_numpy_iterator做了一些不必要的步骤。你的image_dataset_from_directory是一个tf.data....
In this TensorFlow tutorial, I will explain how to use theTensorFlow get_shape function. This function returns the shape of the given tensor. In my project, I had to process the image with a dimension of 4. However, I had to validate the dimensions of the images, such asbatch size,heig...
._get_metric_object(m, y_t, y_p) for m in metrics] /usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/compile_utils.py:439 _get_metric_object y_t_rank = len(y_t.shape.as_list()) /usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/tensor_shape.py...
示例1: get_final_encoder_states ▲点赞 7▼ defget_final_encoder_states(encoder_outputs: torch.Tensor, mask: torch.Tensor, bidirectional: bool = False)-> torch.Tensor:""" Given the output from a ``Seq2SeqEncoder``, with shape ``(batch_size, sequence_length, ...
shape:类似于Numpy中ndarray.shape,比方说一个2行3列的二维矩阵,他的形状就是2行3列。 dtype:类似于Numpy中ndarray.dtype,常用的类型有: tf.uint8: 8-bit unsigned integer. tf.int32: 32-bit signed integer. tf.int64: 64-bit signed integer. ...