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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.

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 a tensor containing the shape of the input tensor.

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:

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:

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 .

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.

Returns a tensor containing the shape of the input tensor.

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

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.

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 ...

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.

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, ...

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. …

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:

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.

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 ...

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:

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 ...

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 [? ...