# Python – tensorflow.math.ceil()

• Last Updated : 29 Jul, 2021

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 library` `import` `tensorflow as tf`   `# initializing the input` `a ``=` `tf.constant([``1.5``, ``2.7``, ``3.9``, ``1.2``, ``1.8``], dtype ``=` `tf.float64)`   `# printing the input ` `print``(``'a: '``,a)`   `# Finding the ceil value` `r ``=` `tf.math.ceil(a)`   `# printing the result` `print``(``"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 library` `import` `tensorflow as tf`   `# initializing the input` `a ``=` `tf.constant([[``1.5``, ``2.7``], [``3.9``, ``1.2``]], dtype ``=` `tf.float64)`   `# printing the input ` `print``(``'a: '``,a)`   `# Finding the ceil value` `r ``=` `tf.math.ceil(a)`   `# printing the result` `print``(``'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 library` `import` `tensorflow as tf`   `# initializing the input` `a ``=` `tf.constant([``1.5``, ``2.7``, ``3.9``, ``1.2``, ``1.8``], dtype ``=` `tf.complex128)`   `# printing the input ` `print``(``'a: '``,a)`   `# Finding the ceil value` `r ``=` `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)

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]```

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