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Python – tensorflow.math.floor()
• Last Updated : 04 Jun, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. floor() is used to find the element wise floor value of the input i.e. the largest integer not greater than x

Syntax: tensorflow.math.floor(  x, name)

Parameters:

•  x: It’s a tensor and allowed dtype for this tensor are  bfloat16, half, float32, float64.
• 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 floor value``r ``=` `tf.math.floor(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([1. 2. 3. 1. 1.], 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 floor value``r ``=` `tf.math.floor(a)`` ` `# printng 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(
[[1. 2.]
[3. 1.]], 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 floor value``r ``=` `tf.math.floor(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)

in ()
6
7 # Finding the floor value
----> 8 r = tf.math.floor(a)

2 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 Floor}}
All kernels registered for op Floor :
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:Floor]

```

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