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Returns a tensor containing the shape of the input tensor.

Jul 28, 2018 · tf.shape (inputs_) returns a 1-D integer tensor representing the dynamic shape of inputs_. inputs_.shape returns a python tuple representing the static shape of inputs_. Since the static shape known at graph definition time is None for every dimension, tf.shape is the way to go.

Create a tensor of n-dimension. You begin with the creation of a tensor with one dimension, namely a scalar. To create a tensor, you can use tf.

Returns a tensor containing the shape of the input tensor.

28.07.2018 · tf.shape (inputs_) returns a 1-D integer tensor representing the dynamic shape of inputs_. inputs_.shape returns a python tuple representing the static shape of inputs_. Since the static shape known at graph definition time is None for every dimension, tf.shape is the way to go.

tf.shape(x) is a tensor which is a vector containing the shape of x. the length of this vector is 4, because the length of [? ...

Returns the shape of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.shape tf.shape ( input, name=None, out_type=tf.dtypes.int32 ) This operation returns a 1-D integer tensor representing the shape of input. For example:

To get the shape of a tensor, you can easily use the tf.shape() function. This method will help the user to return the shape of the given tensor ...

27.01.2022 · To get the shape of a tensor, you can easily use the tf.shape () function. This method will help the user to return the shape of the given tensor. For example, suppose you have a tensor filled with integer numbers and you want to check the shape of the given input tensor.

05.06.2018 · tf.shape tf.shape( input, name=None, out_type=tf.int32 ) 例如： 将矩阵的维度输出为一个维度矩阵 import tensorflow as tf import numpy as np A = np.array([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]], [[5, 5, 5], [6, 6, 6]]]) t = tf.shape(A) with tf.Session() as sess:

def _create_autosummary_var(name, value_expr): assert not _autosummary_finalized v = tf.cast(value_expr, tf.float32) if v.shape.ndims is 0: v = [v, ...

Returns the shape of a tensor. This operation returns a 1-D integer tensor representing the shape of input . For example: t = tf.constant([[[1, 1, 1], [2, ...

tf.shape View source on GitHub Returns the shape of a tensor. tf.shape ( input, out_type=tf.dtypes.int32, name=None ) See also tf.size, tf.rank. tf.shape returns a 1-D integer tensor representing the shape of input. For example:

vb '- ts $placeholder (tf$float 32, shape = shape (num_input)) hb '- ts $placeholder (tf$float 32, shape = shape (num_output)) W 3– ts $placeholder ...

May 07, 2016 · tf.shape (x) creates an op and returns an object which stands for the output of the constructed op, which is what you are printing currently. To get the shape, run the operation in a session:

06.05.2016 · tf.shape (x) creates an op and returns an object which stands for the output of the constructed op, which is what you are printing currently. …

Jan 27, 2022 · To get the shape of a tensor, you can easily use the tf.shape () function. This method will help the user to return the shape of the given tensor. For example, suppose you have a tensor filled with integer numbers and you want to check the shape of the given input tensor.

tf.shape returns a 1-D integer tensor representing the shape of input . For a scalar input, the tensor returned has a shape of (0,) and its value is the ...

Defined in tensorflow/python/ops/array_ops.py . Returns the shape of a tensor. This operation returns a 1-D integer tensor representing the shape of input .

tf.shape in TensorFlow similarly ".shape" in Python or "dim" in R all do the same thing. They are a very simple function that tells you the dimensions of ...