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Jul 02, 2020 · TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. get_static_value () is used to calculate the static value of Tensor. If static value can’t be calculated it will return None. Syntax: tensorflow.get_static_value (tensor, partial)

Sometimes we need to fetch and print the value of a TensorFlow variable to guarantee our program is correct. import tensorflow as tf import numpy as np a = tf.Variable (tf.random_normal ( [2,3])) # declare a tensorflow variable b = tf.random_normal ( [2,2]) #declare a tensorflow tensor init = tf.initialize_all_variables () if we want to get the ...

Determining if A Value is in a Set in TensorFlow Solution: To provide a more concrete answer, say you want to check whether the last dimension of the tensor x contains any value from a 1D tensor s , you could do the following:

02.07.2020 · TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. get_static_value() is used to calculate the static value of Tensor.If static value can’t be calculated it will return None.

import tensorflow as tf print(tf.test.gpu_device_name()) Python answers related to “check if tensorflow is using gpu” do i need do some set when i use GPU to train tensorflow model

A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 . name ...

25.12.2018 · First evaluate the tensors to get numpy arrays for respective tensors and use in operator. t1_array = t1.eval() t2_array = t2.eval() t1_array in t2_array # this will be true if t2 contians t1. 2. Using tensorflow equal, reduce_any and reduce_all methods. # check equality of array in t1 for each array in t2 element by element.

Dec 25, 2018 · Ok, I found a tf.math.reduce_all() method which can be applied to the above output tensor of [[[True False True] [True True True]]] to reduce it to a tensor like [[[True False True]]] But I still don't know how to obtain the correct answer (which would be a single bool value of True) out of this. Also if I apply tf.math.reduce_any() to

Check if all items in list2 are in list1.

Note: It is illegal to "directly" use tensors created inside a cond branch outside it, e.g. by storing a reference to a branch tensor in the ...

25.08.2017 · Libraries like numpy (in this case, tensorflow) often have their own boolean implementations, comparing the memory addresses of a custom boolean type, and CPython's built in using is is going to result in erratic behaviour.Either just check implicit boolean-ness -> if tf.is_nan(v) or do a equality comparison if tf.is_nan(v) == True.

Use tf.shape(t) to get a tensor containing the shape, calculated at runtime. ... is compatible with the existing shape, but it does not check at runtime.

As far as I can tell, the only way to do this in TensorFlow, is to have nested 'tf.logical_or' along with 'tf.equal'. ... To provide a more concrete answer, say you want to check whether the last dimension of the tensor x contains any value from a 1D tensor s, you could do the following:

Here is the code that produces this error: import tensorflow as tf def foo (c): if c: print ('This is true') #heavy code here return 10 else: print ('This is false') #different code here return 0 a = tf.placeholder (tf.bool) #placeholder for a single boolean value b = foo (a) sess = tf.InteractiveSession () res = sess.run (b, feed_dict = {a ...

A numpy ndarray containing the constant value of the given tensor , or None if it cannot be calculated. Raises. TypeError, if tensor is ...

31.08.2018 · I have a problem about finding a value in from other tensor. The description of this problem is as follows. For example, Input Tensor s_idx = ( 1, 3, 5, 7) e_idx = ( 3, 4, 5, 8) label_s_idx = (2, 2, 3, 6) label_e_idx = (2, 3, 4, 8) In the figure above, the value of s_idx [1] is equal to label_s_idx [2] and the value of e_idx [1] is equal to ...

To provide a more concrete answer, say you want to check whether the last dimension of the tensor x contains any value from a 1D tensor s, you could do the following:. tile_multiples = tf.concat([tf.ones(tf.shape(tf.shape(x)), dtype=tf.int32), tf.shape(s)], axis=0) x_tile = tf.tile(tf.expand_dims(x, -1), tile_multiples) x_in_s = tf.reduce_any(tf.equal(x_tile, s), -1))

Performs a broadcast with the arguments and then an element-wise equality comparison, returning a Tensor of boolean values.

Jan 02, 2021 · The easiest way to see a value of a tensor whenever the graph is evaluated (using run or eval) is to use the Print operation as in this example: # Initialize session import tensorflow as tf sess = tf.InteractiveSession () # Some tensor we want to print the value of a = tf.constant ( [1.0, 3.0]) # Add print operation a = tf.Print (a, [a ...

The condition tensor acts as a mask that chooses whether the corresponding element / row in the output should be taken from x (if the element in ...

To provide a more concrete answer, say you want to check whether the last dimension of the tensor x contains any value from a 1D tensor s ...

Let's create some basic tensors. Here is a "scalar" or "rank-0" tensor . A scalar contains a single value, and no "axes".

If axis is None, all dimensions are reduced, and a tensor with a single element is returned. For example: x = tf.constant([[True, True] ...

we check to make sure that t is a tensor (and convert it if not) before accessing its shape and dtype . (But note that not all TensorFlow native ...