I know there are two methods, tensor.get_shape() and tf.shape(tensor), but I can't get the shape values as integer int32 values. For example, below I've created a 2-D tensor, and I need to get the number of rows and columns as int32 so that I can call reshape() to create a tensor of shape (num_rows * num_cols, 1) .
Jul 04, 2019 · For example, below I've created a 2-D tensor, and I need to get the number of rows and columns as int32 so that I can call reshape () to create a tensor of shape (num_rows * num_cols, 1). However, the method tensor.get_shape () returns values as Dimension type, not int32. import tensorflow as tf. import numpy as np.
TensorFlow = 2.6.0 TensorFlow GPU = 2.6.0 Ubuntu = 20.04 Python = 3.9.7 GPU = NVIDIA Corporation TU104 [GeForce RTX 2080] CUDA = 11.5 cuDNN = 8.2.4. Could the problem be from the TensorFlow version or CUDA/cuDNN version? If …
05.04.2021 · Tensorflow dataset how to get the shape of the generator of data? Ask Question Asked 8 months ago. Active 8 months ago. Viewed 688 times ... What's the updated function or attributes to get the shape of the generator/iterator? …
if we do we get an error that TensorShape has an invalid type it must be a Tensor/operation or a string. On the other hand, the dynamic shape needs the ...
May 01, 2016 · If your tensor's shape is changable, use it. An example: a input is an image with changable width and height, we want resize it to half of its size, then we can write something like: new_height = tf.shape(image)[0] / 2. tensor.get_shape; tensor.get_shape is used for fixed shapes, which means the tensor's shape can be deduced in the graph.
Call tensorflow.Tensor.get_shape() to return the shape of the tensor as an immutable tuple. Use tensorflow.TensorShape.as_list() to return a mutable ...
The shape of a tensor is the number of elements in each dimension. TensorFlow automatically infers shapes during graph construction. These inferred shapes might ...
Returns a tensor containing the shape of the input tensor. Install Learn Introduction New to TensorFlow? TensorFlow The core open ... TensorFlow Extended for end-to-end ML components API TensorFlow (v2.7.0) r1.15 Versions ...
04.07.2019 · For example, below I've created a 2-D tensor, and I need to get the number of rows and columns as int32 so that I can call reshape () to create a tensor of shape (num_rows * num_cols, 1). However, the method tensor.get_shape () returns values as Dimension type, not int32. import tensorflow as tf. import numpy as np.
Suppose I have a Tensorflow tensor. How do I get the dimensions (shape) of the tensor as integer values? I know there are two methods, tensor.get_shape() and tf.shape(tensor), but I can't get the shape values as integer int32 values. For example, below I've created a 2-D tensor, and I need to get the number of rows and columns as int32 so that I can call reshape() to create a …
07.05.2016 · Similar question is nicely explained in TF FAQ:. In TensorFlow, a tensor has both a static (inferred) shape and a dynamic (true) shape. The static shape can be read using the tf.Tensor.get_shape method: this shape is inferred from the operations that were used to create the tensor, and may be partially complete. If the static shape is not fully defined, the dynamic …
12.03.2020 · Shape of tensor When you print the tensor, TensorFlow guesses the shape. However, you can get the shape of the tensor with the shape property. The matrix has 3 rows and 2 columns. If you pass the value 1 into the bracket, you can construct a vector of ones equals to the number of columns in the matrix m_shape.