TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. ceil() is used to find the element wise ceil value of the input.
Syntax: tensorflow.math.ceil( x, name)
Parameters:
- x: It’s a tensor and allowed dtype for this tensor are bfloat16, half, float32, float64. int32.
- name: It’s an optional argument that defines the name for the operation.
Returns:
It returns a tensor of same dtype as x.
Example 1:
Python3
# importing the libraryimport tensorflow as tf# initializing the inputa = tf.constant([1.5, 2.7, 3.9, 1.2, 1.8], dtype = tf.float64)# printing the input print('a: ',a)# Finding the ceil valuer = tf.math.ceil(a)# printing the resultprint("Result: ",r) |
Output:
a: tf.Tensor([1.5 2.7 3.9 1.2 1.8], shape=(5,), dtype=float64) Result: tf.Tensor([2. 3. 4. 2. 2.], shape=(5,), dtype=float64)
Example 2: In this example 2-D tensor is used.
Python3
# importing the libraryimport tensorflow as tf# initializing the inputa = tf.constant([[1.5, 2.7], [3.9, 1.2]], dtype = tf.float64)# printing the input print('a: ',a)# Finding the ceil valuer = tf.math.ceil(a)# printing the resultprint('Result: ',r) |
Output:
a: tf.Tensor( [[1.5 2.7] [3.9 1.2]], shape=(2, 2), dtype=float64) Result: tf.Tensor( [[2. 3.] [4. 2.]], shape=(2, 2), dtype=float64)
Example 3: In this example invalid dtype tensor is used. It will raise NotFoundError.
Python3
# importing the libraryimport tensorflow as tf# initializing the inputa = tf.constant([1.5, 2.7, 3.9, 1.2, 1.8], dtype = tf.complex128)# printing the input print('a: ',a)# Finding the ceil valuer = tf.math.ceil(a) |
Output:
a: tf.Tensor([1.5+0.j 2.7+0.j 3.9+0.j 1.2+0.j 1.8+0.j], shape=(5,), dtype=complex128)
---------------------------------------------------------------------------
NotFoundError Traceback (most recent call last)
<ipython-input-49-e349e3adf9c3> in <module>()
6
7 # Finding the ceil value
----> 8 r = tf.math.ceil(a)
4 frames
/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)
NotFoundError: Could not find valid device for node.
Node:{{node Ceil}}
All kernels registered for op Ceil :
device='XLA_GPU'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='XLA_CPU'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='XLA_CPU_JIT'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='XLA_GPU_JIT'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='GPU'; T in [DT_DOUBLE]
device='GPU'; T in [DT_HALF]
device='GPU'; T in [DT_FLOAT]
device='CPU'; T in [DT_DOUBLE]
device='CPU'; T in [DT_HALF]
device='CPU'; T in [DT_FLOAT]
[Op:Ceil]
